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  • New tech could revolutionize neurodegenerative disease research and AI

    New tech could revolutionize neurodegenerative disease research and AI

    When electrical activity travels across the brain, it moves like ripples on a pond. The motion of these “brain waves,” first observed in the 1920s, can now be seen more clearly than ever before thanks to instruments and techniques created by a Stanford-led team.

    The technology, described in the journal Cell, involves two ultra-sensitive optical instruments that can detect signals of genetically engineered proteins, known as “voltage indicators,” revealing neuronal brain wave activity in mice. While limited to research animals, the advance has already shown its potential. Using these instruments, the researchers discovered three new types of brain waves moving in ways never previously observed.

    We’re getting a very broad view of waves propagating across the brain,” said Mark J. Schnitzer, senior author and professor of biology and applied physics in Stanford’s School of Humanities and Sciences.

    We can look at multiple brain areas at once and see the brain waves sweeping across the cortex, the brain’s outermost layer of nerve tissue, with cell-type specificity.”


    Mark J. Schnitzer, Senior Author and Professor, Stanford University

    Unlike electrodes, which use electricity to detect individual spots of brain activity, the instruments developed by Schnitzer’s team use optics, a light-based technology, to image brain waves as they travel in real time. They can also focus on waves tied to one or two specific neuron types.

    Scientists have been trying to understand brain waves ever since they were first identified in humans over a century ago by German physician Hans Berger, who used electrodes in an early version of an EEG (electroencephalography).

    Researchers now know that abnormalities in these waves are associated with different forms of disease, including Parkinson’s, Alzheimer’s, epilepsy, and schizophrenia. It has remained challenging to discern which neuron types are driving which types of waves.

    This latest development could help solve that issue. It stems from over a decade of work on optical techniques called TEMPO first reported in a 2016 paper by a team including Schnitzer, who is also a professor of neurosurgery in Stanford’s School of Medicine, and Michael Z. Lin, professor of neurobiology and of bioengineering in the School of Medicine. Lin is also co-author on the current study.

    In this study, the researchers demonstrated the use of two new TEMPO instruments that complement each other: a fiber optic sensor that is ten times more sensitive than previous versions and can track the electrical activity in the brains of mice as they go about their normal activities; and an optical mesoscope that can provide an 8 mm-wide brain image and show neural activity across the majority of the mouse neocortex, the layer of the brain responsible for high-level functions such as perception and cognition.

    With this technology, the researchers were able to see several waves never before recorded, including two types of beta waves-higher frequency waves associated with alert mental activity-that travel at right angles from each other.

    They also discovered a theta wave-a lower frequency wave associated with memory processing-that travelled not just in one direction, as was previously known, but also backward.

    While it is not yet known what this new directional wave might indicate, one theory is that the theta wave might be “backpropagating,” similar to a learning mechanism used by artificial intelligence models.

    “It seems the brain has an internal clock that synchronizes neural activity, but these travelling waves may also actively reorganize neural circuits across large distances, beyond just local connections,” said co-lead author Radosław Chrapkiewicz, director of engineering in Schnitzer’s lab. “This could play an important role in further bio-inspired AI models.”

    More research needs to be done to understand the implications of these findings, but the new technology will likely open up many avenues for neuroscience as well as development of artificial intelligence.

    “There are a lot of very important applications in the field of neuroscience for understanding pathology and different dynamics in the brain,” said research scientist Simon Haziza, the study’s lead author. “We are just scratching the surface.”

    Source:

    Journal reference:

    Haziza, S., et al. (2025) Imaging high-frequency voltage dynamics in multiple neuron classes of behaving mammals. Cell. doi.org/10.1016/j.cell.2025.06.028.

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  • Simone Biles, Ilona Maher and more honoured during glamorous ceremony

    Simone Biles, Ilona Maher and more honoured during glamorous ceremony

    Simone Biles and Ilona Maher basked in the glow of their collective triumphs at the Olympic Games Paris 2024, as female excellence took centre stage during the 2025 ESPY (Excellence in Sports Performance Yearly) ceremony on Wednesday, 16 July.

    Biles, often referred to as the “G.O.A.T” by her fans, won two awards – Best Championship Performance and Best Athlete – Women’s Sports – for her sensational return to the Olympic stage at Paris 2024, where she won a second individual all-around title and aided Team USA’s efforts to bring home team gold in women’s artistic gymnastics.

    The 11-time Olympic medallist reacted with shock after claiming the award for Best Championship Performance, noting the category’s gender imbalance in favour of male athletes.

    “That was very unexpected, especially in a category of all men,” stated the American superstar, who thanked her teammates, competitors, coaches and fans for their continued support throughout her career.

    “Six-year-old me, who first started tumbling on my parents’ sofa in the living room, is floored to be standing before you right now,” added Biles. “For all the young aspiring athletes, coaches, trainers, doctors, mental health professionals, or whatever path you may choose in life, I encourage you to follow your heart, pursue your dreams and believe in yourself every step of the way, as anything is possible.”

    Her remarks were echoed by rugby star Ilona Maher, who claimed the award for Best Breakthrough Athlete after a year punctuated by a bronze medal in the women’s rugby sevens competition at Paris 2024.

    “It’s taken me seven years and two Olympics, but I finally broke through,” joked Maher, whose quality was already well-known amongst rugby fans long before her success at Paris 2024.

    “My message stays the same: strong is beautiful, strong is powerful. Sexy is whatever you want it to be, and I hope more girls can feel how I feel.”

    Her words resonated with many of the athletes in the crowd, earning her an enthusiastic reception.

    Of course, no team sport athlete would be capable of such success without the support of their teammates, and Maher made sure to thank them as well.

    “I know it’s just me up here, but I’m a team sport athlete through and through, and my teammates are the reason I am who I am,” asserted the Olympic bronze medallist. “I love them so much. They truly are the reason I’m up here on this stage.”

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  • Karachi to receive third monsoon spell rains from tomorrow – ARY News

    1. Karachi to receive third monsoon spell rains from tomorrow  ARY News
    2. PMD forecasts more thundershower for upper parts as Punjab declares emergency  Business Recorder
    3. Karachi braces for third monsoon spell from Friday  nation.com.pk
    4. Weather Department Predicts Even More Intense Monsoon Rainfall in Coming Days  ProPakistani
    5. DCs to oversee rain emergency measures  Dawn

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  • ‘Organising Black Sabbath farewell was an honour’, says Tom Morello

    ‘Organising Black Sabbath farewell was an honour’, says Tom Morello

    Shannen Headley

    BBC News, West Midlands

    TOM MORELLO/INSTAGRAM Ozzy Osbourne dressed in long black leather, sat in a black throne with his arm around Tom Morello, wearing a black t shirt and trousers, a black cap and red bandanaTOM MORELLO/INSTAGRAM

    Tom Morello said Ozzy Osbourne’s black throne from Black Sabbath’s final performance should be in a Birmingham museum

    The musical director of Black Sabbath’s final performance, Tom Morello, has described putting the mammoth metal event together as an “honour”.

    Morello, who is also the guitarist for Rage Against The Machine, said when planning the concert at Villa Park in Birmingham – it was the only venue considered.

    “It was very personally important to all the guys in the band,” he told BBC Radio WM, “It was never going to be anywhere else.”

    The show attracted 40,000 fans to the city on Saturday 5 July – joined by a star-studded line up of metal greats, including Metallica and Slayer.

    Morello said he was approached by Ozzy and wife Sharon about putting the event together “a couple of years ago”.

    “I basically sat down with those guys, and made a list of sort. My first call was to Lars Ulrich of Metallica,” Morello said.

    “I thought, if I can lock in Metallica, and then I’m going to be able to say it’s Ozzy’s last show – it’s Black Sabbath’s last show and Metallica are playing.

    “From that point forward people are going to pick up the phone.”

    Ross Halfin A man sits on a black throne with a bat motif at the top. He has shoulder-length brown hair and he is wearing black. There is a microphone in front of him.Ross Halfin

    Ozzy Osbourne said goodbye to performing with Sabbath at the age of 76

    During the event, Osbourne, 76, who has Parkinson’s disease, sang while seated on a black throne – a piece of stage furniture that has since become coveted.

    He said before the event: “All of us took pictures sitting in it – I’ve got a great picture of me sitting in that throne.

    “I’m not sure what happened to it, but hopefully there’ll be some Birmingham museum of Sabbath and Ozzy Osbourne, where it should be in the front and the first thing you see when you walk in.”

    A huge sea of people are seen in the stadium, lit up by red lights from the stage.

    Tickets for the show sold out well in advance

    The show’s bill also included fellow rock legends Guns N’ Roses, the Rolling Stones’ Ronnie Wood and Aerosmith’s Steven Tyler.

    Morello said after the bill was announced, he was called by Guns N’ Roses vocalist Axl Rose.

    He said: “The phone rang because a couple of the guys from Guns N’ Roses were playing. But then Axl Rose was like: ‘Well, I want to play – why don’t we just be Guns N’ Roses?’

    “So I got a number of calls afterwards from a huge bands, saying ‘can we please be on?’”

    Getty Images A claret and white beach-ball which says Ozzy Osbourne bounces over a crowd of concert-goers at the gig.Getty Images

    Thousands of fans packed into Villa Park for the concert

    Speaking about the positive reception the event had, Morello said: “I think that they were very, very aware that the world was paying attention to this moment.

    “Not just the heavy metal world, but like the world was paying attention.”

    He added: “Heavy metal is the music that made me love music. Black Sabbath is the band that invented heavy metal music, and it is a band that is so meaningful to so many of us, and the DNA of Black Sabbath is everywhere.

    “Those are things that originated in your city. Those are things that originated with Black Sabbath and Ozzy Osbourne.”

    “That band, and that music has meant so much to me, and it was a real honour to be any part of it.”

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  • SL vs BAN: Mahedi Hasan breaks Harbhajan Singh’s record from 2012 in Bangladesh’s win | Cricket News

    SL vs BAN: Mahedi Hasan breaks Harbhajan Singh’s record from 2012 in Bangladesh’s win | Cricket News

    Mahedi Hasan celebrates the wicket of Pathum Nissanka during the third T20 between Sri Lanka and Bangladesh in Colombo. (AP)

    Bangladesh’s Mahedi Hasan made history in a decisive T20I match against Sri Lanka at the R Premadasa Stadium on Wednesday. His incredible bowling figures of 4-1-11-4 helped Bangladesh win both the game and series. He broke Harbhajan Singh’s long-standing record for best figures by a visiting bowler at the venue. His outstanding performance included dismissing four of Sri Lanka’s top five batters.Mahedi’s record-breaking spell started when he removed Kusal Perera for a golden duck in the second over. He then claimed Dinesh Chandimal’s wicket in the fifth over. Later, he dismissed Sri Lankan captain Charith Asalanka and took a caught and bowled to remove Pathum Nissanka, who had scored 46 runs.Go Beyond The Boundary with our YouTube channel. SUBSCRIBE NOW!The previous record at the venue belonged to India’s Harbhajan Singh, who took 4-12 against England during the 2012 T20 World Cup. While Sri Lanka’s Wanindu Hasaranga holds the overall best figures of 4-9 at the ground, other bowlers like Josh Hazlewood (4-16) and Mustafizur Rahman (4-21) had come close to breaking Harbhajan’s visitor record.What makes Mahedi’s achievement more special is that this was his first game of the entire series. He stepped in for Mehidy Hasan Miraz and made an immediate impact. His bowling helped restrict Sri Lanka to just 132/7.In the chase, Bangladesh’s opener Tanzid Hasan played a key role. He remained unbeaten with 73 runs off 47 balls, including six sixes. Bangladesh easily reached the target with 21 balls remaining, losing only two wickets. This victory sealed the series win for the visitors in Colombo.


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  • Sinner, Swiatek, Alcaraz and Sabalenka recalling the greats

    Sinner, Swiatek, Alcaraz and Sabalenka recalling the greats

    Despite missing out on his third consecutive Wimbledon title, Alcaraz nevertheless added to his impressive grasscourt resume.

    An 11-1 record on grass this season improved his career record on the surface to 35-4, meaning he holds the best winning percentage on the surface of any male in the Open Era (minimum 30 matches) at 89.7 per cent.

    The 22-year-old is winning grasscourt matches at a record pace. By beating Jan-Lennard Struff in the third round at Wimbledon, Alcaraz became the fastest to 30 ATP grasscourt wins in the Open Era, doing so in 33 matches – overtaking the previous record of 34 set by Australian legends Rod Laver and Tony Roche.

    In the match prior, Alcaraz secured his 20th victory in 22 matches at the All England Club, the second-fastest man in the Open Era to reach 20 behind Laver, who did it in 21 matches.

    Sabalenka also emulated several women’s tennis legends at Wimbledon thanks to her consistency at the majors.

    The world No.1 progressed to her 11th-straight Grand Slam quarterfinal, a number matching Seles and Martina Hingis and trailing only Graf (17), Serena Williams (16) and Gabriela Sabatini (15) in the Open Era. 

    Although Sabalenka bowed out to Anisimova in the semifinals, she fell 6-4 in the third set, meaning she has not suffered a straight-sets loss in her past 100 Grand Slam matches.

    Only nine-time Wimbledon champion Navratilova has a longer streak, at 172 matches.

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  • Novartis Appoints Mukul Mehta as Chief Financial Officer, as Harry Kirsch Retires after 22 Years with the Company

    Novartis Appoints Mukul Mehta as Chief Financial Officer, as Harry Kirsch Retires after 22 Years with the Company

    Ad hoc announcement pursuant to Art. 53 LR

    • Mukul Mehta, currently Head of Business Planning and Analysis (BPA), Digital Finance and Tax, has been appointed Chief Financial Officer, effective March 16, 2026, and will join the Executive Committee (ECN)
    • After an extraordinary 22-year career at Novartis and more than 12 years as a member of the ECN, Harry Kirsch will retire and step down from the ECN on March 15, 2026

    Basel, July 17, 2025 – Novartis announced today the appointment of Mukul Mehta as the Chief Financial Officer (CFO) and a member of the Executive Committee of Novartis (ECN), effective March 16, 2026. Mukul succeeds Harry Kirsch, who has served as CFO since 2013, and will retire from Novartis after an extraordinary 22-year career with the company. Harry will continue in his role as CFO and member of the ECN until March 15, 2026.

    “It has been a tremendous privilege to serve Novartis for the past 22 years. I am proud of the transformation we’ve led – from streamlining the company from six divisions to three, to the successful spinoffs of Alcon and Sandoz, and the divestitures of our stakes in the consumer healthcare joint venture with GSK and in Roche. Together, we’ve built a truly focused medicines company. I leave with deep gratitude for the teams I’ve worked with and have full confidence in Mukul’s leadership,” said Harry Kirsch, CFO of Novartis.

    Mukul brings over 20 years of experience at Novartis, having held key finance leadership roles across geographies and business units. He brings deep expertise in the pharmaceutical industry and an in-depth understanding of Novartis. Mukul was recently appointed to the role of Head of BPA, Digital Finance and Tax, where he will continue until March of next year. His career includes serving as CFO International for three years, ad-interim President International, CFO Pharmaceuticals business unit, CFO Novartis Business Services, CFO Pharmaceuticals Europe business, and Country CFO of France, Poland, and Norway. Known for his operational excellence, commercial acumen, and people-first leadership style, Mukul has consistently driven performance through data-driven decision-making and inclusive team engagement.

    “I am honored to take on the role of CFO at Novartis,” said Mukul Mehta. “I’ve had the privilege of growing with this company and working alongside exceptional colleagues. I look forward to continuing our journey as a focused medicines company and delivering sustainable value for patients and shareholders.”

    Vas Narasimhan, CEO of Novartis said, “Harry’s impact on Novartis has been profound. He played a pivotal role in driving what has so far been one of our strongest periods of growth and strategic transformation. Under Harry’s leadership, the company’s financial performance has significantly improved as evidenced by our strong balance sheet, improved core operating income margin, and robust free cash flow. I thank him for his unwavering commitment and wish him the very best in his next chapter. I am also looking forward to welcoming Mukul to the ECN. His deep knowledge of our business, strong financial expertise, and collaborative style position him well to guide our financial strategy and finance organization through our next phase of growth.”

    Mukul holds a degree in Management from the Jamnalal Bajaj Institute of Management Studies in India and an MBA from INSEAD France.

    Disclaimer

    This press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements can generally be identified by words such as “potential,” “can,” “will,” “plan,” “may,” “could,” “would,” “expect,” “anticipate,” “look forward,” “believe,” “committed,” “confidence,” “continuing,” “commitment” or similar terms, or by express or implied discussions regarding the goals, effects and consequences of the CFO leadership transition, or regarding discussions of our strategy, plans, expectations or intentions. You should not place undue reliance on these statements. Such forward-looking statements are based on our current beliefs and expectations regarding future events, and are subject to significant known and unknown risks and uncertainties. Should one or more of these risks or uncertainties materialize, or should underlying assumptions prove incorrect, actual results may vary materially from those set forth in the forward-looking statements. In particular, our expectations and assumptions related to this leadership transition could be affected by, among other things, the uncertainties inherent in research and development, including clinical trial results and additional analysis of existing clinical data; regulatory actions or delays or government regulation generally; global trends toward health care cost containment, including government, payor and general public pricing and reimbursement pressures and requirements for increased pricing transparency; our ability to obtain or maintain proprietary intellectual property protection; the particular prescribing preferences of physicians and patients; general political, economic and business conditions, including the effects of and efforts to mitigate pandemic diseases; safety, quality, data integrity or manufacturing issues; potential or actual data security and data privacy breaches, or disruptions of our information technology systems, and other risks and factors referred to in Novartis AG’s current Form 20-F on file with the US Securities and Exchange Commission. Novartis is providing the information in this press release as of this date and does not undertake any obligation to update any forward-looking statements contained in this press release as a result of new information, future events or otherwise.

    About Novartis
    Novartis is an innovative medicines company. Every day, we work to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach nearly 300 million people worldwide.

    Reimagine medicine with us: Visit us at https://www.novartis.com and connect with us on LinkedIn, Facebook, X/Twitter and Instagram.

    # # #


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  • Concerns of nurse shortages after woman dies of sepsis in Norfolk

    Concerns of nurse shortages after woman dies of sepsis in Norfolk

    A coroner has raised concerns over the impact of district nurse staff shortages on appointments after a woman died of sepsis.

    Susan Clissold, 72, required district nurses to attend weekly to dress an infected burn and a pressure sore.

    In a prevention of future deaths report, area coroner for Norfolk, Jacqueline Lake, said that on several occasions there was not sufficient staff for Mrs Clissold to receive a visit from a district nurse.

    The Norfolk Community Health and Care NHS Trust, said: “We’d like to express our sincere condolences to the family and loved ones of Mrs Clissold. Unfortunately, we are unable to provide comment further to the information that is detailed in the report.”

    Mrs Clissold was registered blind and had multiple sclerosis and had carers visit four times a day.

    She had a pressure sore which required visits from district nurses.

    On 29 April 2024, Mrs Clissold scalded her leg with hot coffee and the burn required regular dressing.

    On 15 May, Mrs Clissold was admitted to the Norfolk and Norwich University Hospital with a temperature, low blood pressure and symptoms of infection and was treated with IV antibiotics and fluids.

    While at first her condition improved, she deteriorated to the point where a referral for palliative care was made on the 31 May and she died on the 9 June.

    In a prevention of future deaths report, Ms Lake found while district nurses were required to attend to the 72-year-old on a weekly basis, on several occasions they did not appear due to not having sufficient members of the team available.

    Evidence heard that individual cases are becoming more complex involving greater input from the community nursing team and a greater number of patients needing support.

    The report said the Norfolk Community Health and Care NHS Trust had taken steps to try and ensure there was sufficient staff to attend to patients in the community, including relocating staff and prioritising patients.

    However, evidence heard staff were not able to attend every appointment as required.

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  • AI Detects Hidden Heart Valve Defects via ECG

    AI Detects Hidden Heart Valve Defects via ECG

    An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on ECG readings.

    In a study, published today in The European Heart Journal, researchers found that their AI could spot very early changes in the heart’s structure from an ECG, a common test which shows the heart’s electrical activity.

    The advanced algorithm could detect issues in the heart’s valves – which keep blood flowing in the correct direction through the heart’s chambers – even before the appearance of symptoms or physical changes that can be detected by ultrasound scans.

    The AI could accurately predict who would go on to develop significant leaks in the heart’s mitral, tricuspid, or aortic valves – conditions known as regurgitant valvular heart diseases. It was able to correctly identify the risk of a leaky heart valve in the years following the ECG (from high to low) in around 69-79% of cases.

    People flagged as ‘high-risk’ by the algorithm were up to 10 times more likely to develop these diseases than those classed as lower risk.

    According to the team from Imperial College London and Imperial College Healthcare NHS Trust, their AI-enhanced predictions could potentially transform doctors’ approach to treating heart valve disease.

    It’s estimated that 41 million people worldwide, including 1.5 million people in the UK, live with these heart valve diseases, which can lead to heart failure, hospital admissions and death. Early diagnosis is key for successful treatment. But the symptoms, which can include shortness of breath, dizziness, feeling tired and having heart palpitations, can be easily confused with other causes, while some patients don’t show any symptoms until the disease is advanced.

    Earlier detection

    Dr Arunashis Sau, one of the study leads, Academic Clinical Lecturer at Imperial College London’s National Heart and Lung Institute, and cardiology registrar at Imperial College Healthcare NHS Trust said: “Our hearts are incredibly complex and hard-working organs, but we rarely give them much consideration unless something goes wrong. By the time symptoms and structural changes appear in the heart, it may be too late to do much about it. Our work is harnessing AI to detect subtle changes at the earliest stage from a simple and common test, and we think this could be really transformative for doctors and patients. Rather than waiting for symptoms, or relying only on expensive and time-consuming imaging tests, we could use AI-enhanced ECGs to spot those most at risk earlier than ever before. This means that many more people could get the care they need before their hidden condition affects their quality of life or becomes life-threatening.”

    The study was part of an international collaboration led by researchers Drs Sau and Dr Fu Siong Ng and involving researchers in China, based at Shanghai’s Zhongshan Hospital. AI models were trained using nearly one million ECG and heart ultrasound (echocardiogram) records from over 400,000 patients in China. The technology was then tested on a separate group of more than 34,000 patients in the United States, showing that it works well across ethnically diverse populations and healthcare systems.

    Issues with heart valves may first appear as very small changes to the heart’s electrical activity which are not apparent to doctors. These electrical changes become larger but by this point, symptoms have often started to develop. The AI system can detect these subtle electrical patterns much earlier, hopefully before symptoms develop at all.

    Dr Ng, the senior author, Reader in Cardiac Electrophysiology at the National Heart & Lung Institute at Imperial College London and a consultant cardiologist at Imperial College Healthcare NHS Trust and Chelsea and Westminster Hospital NHS Foundation Trust, said:

    “AI has enormous potential for improving healthcare around the world, but it requires huge amounts of data to train and test these algorithms. Our work is an example of the benefits of international collaboration in this fast-growing area. By training the model in an almost exclusively Chinese population and then testing in a US cohort, we can show that our AI tool has the potential to be applied in various countries and settings around the world. This ultimately means it has the potential to help even more patients.”

    Continued work

    The research follows on from the team’s development of the related AI-ECG risk estimation model, known as AIRE, which can predict patients’ risk of developing and worsening disease from an ECG. Other AI models from this project have been trained to analyse ECGs to predict problems such as female heart disease risk, health risks including early death, high blood pressure  and type 2 diabetes.

     Trials of AIRE in the NHS are already planned for late 2025. These will evaluate the benefits of implementing the model with real patients from hospitals across Imperial College Healthcare NHS Trust and Chelsea and Westminster Hospital NHS Foundation Trust.

    This research was funded by the British Heart Foundation via a BHF Clinical Research Training Fellowship to Dr Sau, a BHF Programme Grant to Dr Fu Siong Ng, and the BHF Centre of Research Excellence at Imperial College London.It was also supported by the NIHR Imperial Biomedical Research Centre, a translational research partnership between Imperial College Healthcare NHS Trust and Imperial College London.

    /Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.

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  • Clinical value of low-dose spiral CT combined with serum CEA in the as

    Clinical value of low-dose spiral CT combined with serum CEA in the as

    Introduction

    Statistics show that lung cancer is the leading cause of death from malignant tumors worldwide, posing a serious threat to human health.1,2 The total number of new lung cancer patients worldwide reached 2.2 million in 2020, accounting for about 11.4% of the total incidence of malignant tumors, and the total number of patients who died from lung cancer in the same year was about 1.8 million, accounting for 18.0% of the total number of deaths, ranking it as the highest among all causes.3,4 Scholars have analyzed that the reason for the high morbidity and mortality of lung cancer is related to the lack of specific clinical manifestations in the early stage of lung cancer, and most of the patients exhibiting clinical symptoms are already in the advanced stage of the disease, missing the optimal window for surgical resection, ultimately leading to an unfavorable prognosis.5,6 Consequently, early differential diagnosis and positive treatment hold significant value in enhancing the prognosis of lung cancer patients and reducing mortality rates, and are of positive implications in improving the quality of life for individuals afflicted with lung cancer.7

    In recent years, many countries have dedicated efforts to the early screening of lung cancer. As early as 2010, the United States advocated the National Lung Screening Trial, highlighting the efficacy of low-dose spiral CT scans and chest X-ray screenings in reducing mortality rates among lung cancer patients, while the US Preventive Services Task Force recommended annual low-dose spiral CT screenings for individuals aged over 55 years and those with a history of persistent smoking.8,9 Compared with chest X-ray detection, low-dose spiral CT has the advantages of low radiation, convenient detection, and high sensitivity, especially higher detection rate for small lesions with diameter < 5 mm. However, repeated CT screening still presents limitations, such as a high false-positive rate and low repeatability.10,11 These limitations reduce the effectiveness of low-dose spiral CT as a standalone screening tool, particularly in distinguishing early lung cancer from benign lesions.

    Carcinoembryonic antigen (CEA) is a tumor-associated antigen, mostly found on the surface of cancer cells differentiated from endodermal cells. In previous studies, CEA is often used as a specific marker for rectal and colon cancers, but it has been pointed out in in recent practice that this factor also has a better value in the differentiation, diagnosis, and monitoring of other malignant tumors.12 However, as a standalone biomarker, CEA demonstrates limited sensitivity in the early detection of lung cancer, which is potentially attributable to fluctuations in tumor marker levels caused by individual comorbidities, dietary factors, and medications. Several studies have reported that the sensitivity of CEA in diagnosing lung cancer ranges from approximately 30% to 70%, with a specificity of about 60% to 90%, indicating that CEA alone is insufficient to meet the clinical requirements for accurate differentiation of early lung cancer.

    Given the respective limitations of low-dose spiral CT and serum CEA when used individually, and considering their distinct diagnostic characteristics (low-dose spiral CT primarily evaluates anatomical tumor features, while CEA reflects biological characteristics), the combined use of these two modalities may theoretically provide complementary advantages and enhance the diagnostic accuracy for early lung cancer. However, current research on the combined use of low-dose spiral CT and CEA in early lung cancer screening remains limited. The synergistic diagnostic efficacy of this combined approach has not been fully evaluated, particularly regarding whether improvements in sensitivity are accompanied by a significant increase in false-positive rates. Further research is needed to validate these aspects.

    Materials and Methods

    General Data

    Sixty-two patients diagnosed with early lung cancer in our hospital from April 2022 to October 2023 were retrospectively selected as the case group, and 50 patients diagnosed with benign pulmonary lesions in our hospital during the same period were selected as the control group. The case group comprised 33 males, accounting for 53.23% of the cases, aged between 46 and 73 years with an average age of (56.98±11.20) years. There were 19 smokers, accounting for 30.65% of the group. Pathological analysis revealed that 46 cases were diagnosed with lung adenocarcinoma, accounting for 74.19% of the cases, while 13 cases were diagnosed with squamous cell lung carcinoma, accounting for 20.97%, and the remaining cases consisted of 3 other pathological types, accounting for 4.84%. Among them, 50 cases presented with stage I lung cancer, accounting for 80.65%, whereas 12 cases were at stage II, accounting for 19.35%. The average lesion size was (1.35±0.51) cm. In the control group, there were 29 males, accounting for 58.00% of the group, aged between 50 and 67 years with an average age of (57.32±13.51) years; 12 cases of smokers, accounting for 24.00%. Gender, average age, and smoking habits were compared between the two groups, showing no significant differences (P>0.05). This study was approved by the Ethics Committee of First People’s Hospital of Linping District (date: 02.15.2022, approval number: 2022–029) and complied with the Declaration of Helsinki. All patients signed an informed consent form.

    Data Screening Requirements

    The sample size for this study was estimated based on the primary objective of evaluating the diagnostic value of low-dose spiral CT combined with serum CEA detection for early lung cancer differentiation. According to previous reports,6 the sensitivity of low-dose spiral CT alone for diagnosing early lung cancer is approximately 75%. We hypothesized that adding serum CEA detection would increase sensitivity to 90%. Using a paired comparison design, with a Type I error (α) of 0.05 (two-sided) and a Type II error (β) of 0.20 (corresponding to 80% statistical power), the required sample size was calculated via the McNemar test, resulting in a need for 68 early lung cancer cases. To account for potential data loss and analytical considerations, the sample size of the case group was increased to 92. The control group included 50 patients with benign pulmonary lesions to maintain analytical balance and ensure adequate specificity assessment.

    Data were collected through the hospital information system from April 2022 to October 2023. A total of 92 patients with early lung cancer and 130 patients with benign lung lesions were gathered. Inclusion criteria of the case group: (1) definite pathological findings confirming the diagnosis of early lung cancer; (2) comprehensive data on age, gender, pathological type, and serum CEA level; (3) those who had not undergone radiotherapy and biotherapy. Exclusion criteria of the case group: (1) patients concurrently suffering from other malignant tumors; (2) patients diagnosed with advanced lung cancer. The inclusion criteria for the control group: (1) patients with definitive diagnosis of benign pulmonary lesions; (2) patients with detailed information of low-dose spiral CT scans and serum CEA detection results. Exclusion criteria for the control group were the same as for the case group. After screening by inclusion and exclusion criteria, 62 patients in the case group and 50 patients in the control group were enrolled.

    Bias Control Measures

    As a retrospective study, we implemented the following measures to minimize selection bias: (1) All eligible patients between April 2022 and October 2023 were identified via the hospital’s electronic medical record system using a consecutive sampling method, rather than convenience sampling, to avoid arbitrary inclusion of specific patient groups; (2) Radiologists performed image evaluations blinded to clinical diagnoses, pathological results, and serum CEA levels to minimize expectation bias; (3) Evaluations were conducted based on established diagnostic criteria and thresholds to minimize subjective judgment.

    Low-Dose Spiral CT Examination and Image Analysis

    All patients underwent low-dose spiral CT scans using the same model scanner (Siemens SOMATOM Definition Flash dual-source CT, Germany). The scanning protocol strictly adhered to the technical parameters recommended in the China Guideline for the Screening and Early Detection of Lung Cancer (2021, Beijing): tube voltage of 120 kV, automatic tube current modulation (30–50 mAs), rotation time of 0.5 s, collimation of 64 × 0.625 mm, pitch of 0.9, and scan range extending from the lung apex to the base. The scan layer thickness was 5 mm, with a layer reconstruction thickness of 1 mm. Image reconstruction was performed using standard lung window settings (window width: 1500 HU; window level: –600 HU) and mediastinal window settings (window width: 400 HU; window level: 40 HU). To ensure consistency in image quality, all scans were conducted by a single radiologic technologist with over 10 years of experience, using the same CT scanner for all examinations.

    CT image analysis was conducted using a double-blind method, independently evaluated by two radiologists, each with a minimum of five years of experience in thoracic imaging. The radiologists were blinded to patients’ clinical information, pathological results, and serum CEA levels. Prior to evaluation, both radiologists underwent standardized training to ensure consistency in interpretation criteria. In cases of disagreement (observed in 12 cases, approximately 11%), a third senior radiologist with over 15 years of experience rendered the final decision, based on the 2017 Fleischner Society Guidelines for Pulmonary Nodule Management and the standards of the International Association for the Study of Lung Cancer.13

    Serum CEA Measurements

    All serum CEA measurements were conducted at the Clinical Laboratory Center of our hospital. Blood samples were collected following a standardized protocol: after an 8-hour fast, 5 mL of peripheral venous blood was drawn using blood collection tubes (BD Vacutainer®, USA) by trained nurses. Within 30 minutes of collection, samples were centrifuged at 2000 × g for 10 minutes to separate the serum. The serum was either analyzed immediately or stored at −80 °C for no longer than 24 hours. Serum CEA levels were determined using the electrochemiluminescence immunoassay (ECLIA) on the Roche Elecsys 2010 automated analyzer (Roche Diagnostics, Switzerland), with the corresponding CEA assay kit (Lot No. 2021–05-A, Roche Diagnostics). All procedures strictly followed the National Clinical Laboratory Operating Procedures (4th edition)14 and the manufacturer’s standard operating procedures. A CEA concentration <5 ng/mL was considered negative.

    Observation Indices

    The final pathologic findings were used as the gold standard, and the discriminative value of low-dose spiral CT, serum CEA, and combined detection in early lung cancer was calculated separately.

    Statistical Methods

    The gathered data were consolidated using EXCEL 2021 and analyzed using SPSS 22.0. Measurement data were expressed as mean ± standard deviation and examined using intergroup t-tests. Counting data were represented as rates, employing intergroup chi-square tests. P<0.05 was considered statistically significant differences.

    Results

    Comparison of Baseline Clinical Data Between the Case and Control Groups

    The baseline clinical data of patients were collected through the hospital information system, and a total of 62 patients were enrolled in the case group after screening by inclusion and exclusion criteria. In the case group, there were 33 males, accounting for 53.23%, aged between 46 and 73 years with an average age of (56.98±11.20) years; there were 19 smokers, accounting for 30.65% of the group. Pathological analysis revealed that 46 cases were diagnosed with lung adenocarcinoma, accounting for 74.19%, 13 cases were diagnosed with squamous cell lung carcinoma, accounting for 20.97%, and the remaining cases consisted of 3 other pathological types, accounting for 4.84%. Among them, 50 cases presented with stage I lung cancer, accounting for 80.65%, whereas 12 cases were at stage II, accounting for 19.35%. The average lesion size was (1.35±0.51) cm. In the control group, there were 29 males, accounting for 58.00%, aged between 50 and 67 years with an average age of (57.32±13.51) years; 12 cases of smokers, accounting for 24.00%. Gender, average age, and smoking habits were compared between the two groups, showing no significant differences (P>0.05), as shown in Table 1 for details.

    Table 1 Comparison of Baseline Clinical Data Between the Case and Control Groups (Mean ± SD)/[n (%)]

    Analysis of the Discriminative Value of Low-Dose Spiral CT in Early Lung Cancer

    Low-dose spiral CT in patients with benign lesions revealed a regular surface within the lesion area, devoid of lobulation, accompanied by fibrous cord-like alterations surrounding the lesion, as depicted in Figure 1. The malignant lesion exhibited irregular surfaces, obvious spiculated margins, and inhomogeneous density, along with obvious manifestations of pleural retraction or vascular penetration at the lesion site, and the above signs were helpful in identifying the nature of the lung lesion, as depicted in Figure 2. Based on the standards mentioned above, a blinded evaluation was conducted by two physicians. Among the 62 patients in the case group, 51 cases were positive, with a positivity rate of 82.26%. In contrast, among the 50 patients in the control group, 9 cases were positive, yielding a positivity rate of 18.00%. The difference in positivity rates between the two groups was statistically significant (P<0.05), as depicted in Table 2. Calculations showed that low-dose spiral CT had a sensitivity of 77.42%, a specificity of 94.00%, a positive predictive value of 94.12%, and a negative predictive value of 77.05% for the identification of early lung cancer, as shown in Table 3.

    Table 2 Analysis of the Discriminative Value of Low-Dose Spiral CT in Early Lung Cancer

    Table 3 Diagnostic Value of Low-Dose Spiral CT in Early Lung Cancer

    Figure 1 CT signs of low-dose spiral CT in patients with benign lesions.

    Figure 2 CT signs of low-dose spiral CT in patients with malignant lesions.

    Analysis of the Discriminative Value of Serum CEA Level in Early Lung Cancer

    Serum CEA detection results of patients in the case and control groups were collected based on the hospital information system. The calculation showed that the serum CEA level of the patients in the case group was significantly higher than that of the patients in the control group (P<0.05), as shown in Table 4 and Figure 3.

    Table 4 Comparison of Serum CEA Level Between the Case and Control Groups (Mean ± SD)

    Figure 3 Comparison of serum CEA level between the case and control groups.

    Analysis of the Discriminative Value of Serum CEA in Early Lung Cancer

    The differential diagnostic value of serum CEA levels in early lung cancer was calculated using a plotted ROC curve, which showed an AUC of 0.8661 (95% CI=0.7964–0.9359) (P<0.0001), as shown in Figure 4.

    Figure 4 Analysis of the discriminative value of serum CEA in early lung cancer. The AUC of serum CEA for early lung cancer identification was 0.8661 (95% CI=0.7964–0.9359) (P<0.0001).

    Analysis of the Discriminative Value of Low-Dose Spiral CT, Serum CEA and Combined Detection for Early Lung Cancer

    A parallel approach was used to calculate the discriminative value of low-dose spiral CT and serum CEA for early lung cancer, and the results showed that compared with low-dose spiral CT alone, the combined detection of low-dose spiral CT and serum CEA increased the positivity rate of early lung cancer screening from 82.26% to 95.16%, showing significant differences (P<0.05). However, the detection rate of early lung cancer was not significantly improved by combined detection compared with CEA detection alone (87.10% vs 95.16%) (P>0.05). In terms of detection rate of benign lesions, the combined detection did not notably increase the false-positive rate, exhibiting no significant differences compared with the CT detection alone or CEA detection alone (P>0.05), as shown in Table 5 and Figure 5.

    Table 5 Analysis of the Discriminative Value of Low-Dose Spiral CT, Serum CEA and Combined Detection for Early Lung Cancer

    Figure 5 Analysis of the discriminative value of low-dose spiral CT, serum CEA and combined detection for early lung cancer. *represents P<0.05.

    Comparison of the Diagnostic Sensitivity of Detection Methods in Tumor Size Subgroups

    Subgroup analysis based on tumor size revealed an increasing trend in diagnostic sensitivity for both low-dose spiral CT and serum CEA as tumor diameter increased (Table 6). For small lesions measuring ≤1.0 cm (n=14), the sensitivity of low-dose spiral CT was 57.14% (8/14), and that of serum CEA was 50.00% (7/14). Notably, the combined detection approach significantly improved sensitivity to 78.57% (11/14) (P=0.038). For lesions measuring 1.1–2.0 cm (n=36), the sensitivity of low-dose spiral CT (80.56%) was higher than that of serum CEA (69.44%), and combined detection further increased sensitivity to 97.22% (35/36) (P=0.012). For lesions measuring 2.1–3.0 cm (n=12), the sensitivity of low-dose spiral CT and serum CEA alone was 91.67% and 83.33%, respectively, with the combined approach achieving 100% sensitivity (P=0.157). These findings suggest that the combined detection method offers particular significant diagnostic value for small and medium-sized lesions (Table 6).

    Table 6 Comparison of Diagnostic Sensitivity of Different Detection Methods in Tumor Size Subgroups

    Discussion

    Lung cancer is the malignant tumor with the highest morbidity and mortality rate worldwide, posing a serious threat to human health and life safety. The World Health Organization (WHO) has issued information showing that lung cancer is the leading cause of death from malignant tumors in men and ranks second in cancer mortality in women.15,16 China is affected by many factors such as population aging, environmental pollution, and accelerated pace of life, leading to the increasing prevalence of lung cancer year by year, and the number of lung cancer patients now accounts for the first place in the world.17,18 Although surgery, radiotherapy, and targeted therapy can reduce the mortality rate of patients with advanced lung cancer to a certain extent, there are still a majority of patients whose symptoms are not relieved or even worsen after receiving standard first- or second-line treatment.19 Therefore, early screening, diagnosis, and treatment are particularly important, and early detection and timely treatment are of great significance in saving the lives of lung cancer patients.

    This study employed grouping and comparison method to analyze the clinical value of low-dose spiral CT and serum CEA in early lung cancer screening. The findings revealed that low-dose spiral CT exhibited a sensitivity of 77.42%, a specificity of 94.00%, a positive predictive value of 94.12%, and a negative predictive value of 77.05% in distinguishing early lung cancer, which were similar to findings from other scholarly research.20 Various routes have been tried in early lung cancer screening in the past, among which chest X-ray, although of some value, is highly radioactive, has low repeatability and low accuracy; in contrast, low-dose spiral CT does not have significant radiation risks and has lower medical costs, and thus has been considered for application in early lung cancer screening.21 There are several authoritative guidelines stating that annual screening with low-dose spiral CT of the chest can help improve lung cancer detection rates, especially in patients with stage I lung cancer.22 However, with the popularization and application of this technology, its shortcomings have been gradually exposed. On the one hand, although the radiation dose is low, repeated screening still causes radiation accumulation in patients and increases the risk of radiation-related cancers, and on the other hand, the false-positive rate and the high cost of screening have limited the popularization of this technology in primary care settings.

    The subgroup analysis in this study further highlighted the clinical value and target population characteristics of combining low-dose spiral CT with serum CEA detection. Stratification by tumor size revealed that for small lesions measuring ≤1.0 cm, the combined detection method yielded the most significant improvement in diagnostic sensitivity compared to either modality alone, a finding of considerable clinical importance. Previous studies have shown that early detection and intervention for subcentimeter lung cancers (≤1.0 cm) can markedly improve patient survival rates. However, traditional imaging techniques often lack sufficient sensitivity for such small lesions, and serum biomarkers alone demonstrate limited diagnostic performance. Our findings affirm the clinical value of the combined detection strategy. In particular, for subcentimeter lung cancers, this approach significantly improves detection rates and may facilitate earlier intervention.

    The screening value of serum CEA in early lung cancer was further analyzed in this study, and the results showed that the serum CEA level in patients with early lung cancer was significantly higher than that in patients with benign lung lesions, and the plotted ROC curve showed that its diagnostic AUC was 0.8661, with high diagnostic efficacy, which was also similar to the results of other studies.23 Tumor factor belongs to the tumor detection markers with better prospects. Tumor factor represented by CEA is often able to intuitively reflect the state of the tumor, and has unique advantages compared with other detection methods, such as good repeatability, higher accuracy, etc., which have led to the increasing widespread application of tumor factor in malignant tumor screening in recent years. In a study conducted on 90 patients with suspected lung cancer, the accuracy of serum CEA in identifying lung cancer was 88.10%, which indicated that serum CEA helps in the early detection of malignant lesions in the lungs, and provides a reference for early clinical intervention in lung cancer patients.24 The authors of this study posit that the carcinogenic process involves the participation of multiple immune systems, and during the malignant transformation, the individual’s humoral immune system might experience a dysregulation, consequently leading to dramatic fluctuations in certain factor levels. All these have laid the foundation for CEA in the screening of early lung cancer from the theoretical level. However, it is also important to recognize that serum CEA levels also have certain shortcomings in early lung cancer screening, as they are susceptible to influences from drugs and other diseases, resulting in a notably elevated false-positive rate.25 In this study, the serum CEA positivity rate in the control group was 30%, indicating a relatively high false-positive rate. The potential reasons are as follows: (1) The control group consisted of patients with benign pulmonary lesions rather than healthy volunteers. Some of these patients may have had active inflammatory conditions, which could have led to elevated CEA levels; (2) The cutoff value for CEA used in this study was based on standard reference values for the general population, which may not be fully applicable to a hospital-based population with specific clinical conditions. Future studies will consider increasing the cutoff to 7.5 ng/mL.

    In order to find the optimal indicator for early lung cancer identification, this study attempted to employ low-dose spiral CT and serum CEA jointly in the discrimination of early lung cancer. The results showed that the screening positivity rate of the combined detection was 95.16%, significantly higher than that of low-dose spiral CT alone (82.26%), but the combined detection did not make the false-positive rate increase significantly, merely elevating the false-positive rate of serum CEA from 30.00% to 32.00%, without a significant change, which suggests that the combined detection improves the screening rate of early lung cancer, but does not significantly improve the false-positive rate. The authors of this study analyzed that the result is exactly what medical workers aspire to witness. The serum CEA screening, to a certain extent, compensates for the deficiencies of low-dose spiral CT. Factors such as its favorable repeatability, minimal trauma, and absence of radiation accumulation render serum CEA screening advantageous. Meanwhile, low-dose spiral CT can serve as a subsequent examination for patients with positive serum CEA in preliminary screening. Through their combined application, the detection rate for early lung cancer is heightened, which provide valuable insights for subsequent treatment.26

    The innovations of this study are primarily reflected in the following aspects: (1) It provides specific performance parameters for the combined use of low-dose spiral CT and serum CEA in early lung cancer screening among the Chinese population, offering evidence to support the development of localized screening strategies; (2) Through tumor size-based subgroup analysis, it clearly demonstrates that the diagnostic value of combined detection is most pronounced for small lesions (≤1.0 cm), addressing a gap in previous research; (3) It confirms that the combined approach can significantly improve diagnostic sensitivity without markedly increasing the false-positive rate, thereby addressing a key challenge in clinical practice. These findings have clear translational significance and may assist clinicians in more precisely applying combined detection strategies in early lung cancer screening.

    This study has several limitations: (1) The retrospective case-control design inherently carries a risk of selection bias. Both case and control groups were drawn from a single-center patient population, which may not fully represent the broader target population; (2) In retrospective studies, researchers are aware of patients’ final diagnoses. Although blinded assessments were employed, the potential influence of the study design on the interpretation of imaging features cannot be completely excluded; (3) The diagnostic criteria used in this study, especially the interpretation of CT imaging features, were based on current clinical guidelines but still involved a degree of subjectivity. Such subjectivity is more difficult to control in retrospective studies and may consequently result in an overestimation of diagnostic accuracy; (4) The study did not include multivariable analysis, limiting the ability to adequately control for potential confounders such as age, sex, and smoking status, which may have influenced the evaluation of the combined detection strategy; (5) The sample size was relatively limited, especially in tumor size subgroups, where small subgroup sizes may have affected the statistical stability and generalizability of the findings.

    Conclusions

    In summary, patients with early lung cancer show distinct alterations in low-dose spiral CT signs, and their serum CEA levels demonstrate a notable increase compared with those with benign pulmonary lesions. The combination of low-dose spiral CT with serum CEA can be considered in the discrimination of early lung cancer, which can markedly enhance the positive detection rate while maintaining a minimal rise in false-positive rates.

    Data Sharing Statement

    The data that support the findings of this study are available from the corresponding author upon reasonable request.

    Ethics Approval and Informed Consent

    This study was approved by the Ethics Committee of First People’s Hospital of Linping District (date: 02.15.2022, approval number: 2022-029) and complied with the Declaration of Helsinki. All patients signed an informed consent form.

    Author Contributions

    All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

    Funding

    This work was supported by Hangzhou Biomedical and Health Industry Development Support Science and Technology Program (13th Batch) (Grant No.: 2024WJC089).

    Disclosure

    The authors of this work report no conflicts of interest.

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