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Lung Cancer in Non-Smokers, Telerad Tie-Up, and AI Safety Alliance January 29, 2026
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Together with
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“No single AI can handle every task. The winning PACS will be the one that acts as a seamless ‘App Store,’ integrating various third-party algorithms into a single, unified user interface that manages ‘information overload’ without adding clicks.”
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Simon Häger, Fagerhult Group.
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Behind the growing enthusiasm for CT lung cancer screening is a nagging question – should we be screening people who have never smoked too? It’s a dilemma that’s addressed in a new paper in Radiology that offers some insight.
CT lung screening is the only major cancer screening test that’s exclusively targeted at high-risk individuals, essentially people who have smoked long enough to meet inclusion criteria.
- Other cancer screening exams – for breast, colorectal, and cervical cancer– are offered to broader segments of the population, with age typically the only qualifying factor.
But lung cancer still occurs in people who have never smoked, who account for 10-25% of lung cancer cases, the fifth most common cause of cancer mortality globally.
- For example, East Asian women, even those who have never smoked, seem to have higher lung cancer incidence rates, indicating a genetic risk factor that’s still not fully understood.
The new Radiology paper reviews the state of knowledge regarding lung cancer in people who have never smoked, and examines whether the phenomenon’s prevalence calls for a rethinking of how CT lung cancer screening is offered.
The authors explain that lung cancer in non-smokers…
- Can be caused by environmental factors like workplace exposure, air pollution, genetic susceptibility, and exposure to second-hand smoke (20-26% higher risk for spousal exposure).
- Has a different carcinogenesis mechanism than lung cancer in smokers, and tends to be more slow-growing.
- Has different characteristics than cancer in smokers, being overwhelmingly dominated by adenocarcinoma (90%).
So with this knowledge in hand, should current U.S. and European lung cancer screening guidelines be changed?
- Japan is already conducting mass lung screening regardless of smoking history, while China’s guidelines include people who have never smoked but have other risk factors like occupational exposure.
But broader screening could lead to higher rates of overdiagnosis and overtreatment, and early studies from Asia have found screening had little effect on overall mortality in non-smokers.
- That led the Radiology authors to conclude that, at present, it’s probably not advisable to begin screening people who have never smoked until more research is conducted.
The Takeaway
The new paper on CT lung cancer screening of people who have never smoked is more than just an interesting thought experiment. It surfaces an issue that’s been percolating as risk-based lung screening gains momentum, and that ultimately may require a completely different approach to lung screening from what’s been used to date.
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The Workstation of the Future
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The Power of a Smooth Go-Live
Don’t gamble on your healthcare institution’s go-live: take control of your PACS migration with ENDEX from Enlitic. Discover how ENDEX uses AI to standardize, normalize, and cleanse your imaging metadata before migration.
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Driving Efficiency in Radiology
Radiology’s workforce is under pressure. Discover evidence-based strategies for driving efficiency without burning out your staff in this e-book from Riverain Technologies.
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- RP Partners with Stanford AIDE on AI Safety: Radiology Partners is working with Stanford University’s AI Development and Evaluation Lab to develop tools for monitoring AI performance. RP and AIDE will co-develop research frameworks to support AI evaluation, as well as methods to share insights within the radiology community. The partnership will leverage RP’s expertise in deploying AI at scale through its Mosaic Clinical Technologies division, with research conducted at Stanford with participation from RP radiologists and data science professionals.
- ACR Expands ARCH AI to Europe: The ACR has expanded its ACR Recognized Center for Healthcare-AI program to Europe, with Inselspital, the University Hospital of Bern, Switzerland, joining the program. ACR launched ARCH AI in 2024 as a vehicle for certifying radiology providers that meet standards governing the use and management of clinical AI. The ACR’s move underscores the importance of standardized AI governance globally, and the group said it would continue working with international partners.
- SimonMed Rebrands Longevity Service: SimonMed is rebranding its SimonONE whole-body MRI screening service as SimonMed Longevity, which will operate as a new division. SimonMed Longevity will be offered at 30 of the company’s 170 imaging centers, with plans to expand to 70 sites by the end of Q1. Separately, SimonMed settled a billing dispute with the Arizona Attorney General’s office in which the company was accused of not issuing refunds to patients who had overpaid.
- ChatGPT-5 Falls Short for Clinical Use: ChatGPT-5 showed some improvements over ChatGPT-4 for analyzing medical images, but hallucinations were still a problem. Researchers in European Radiology updated their 2024 study evaluating ChatGPT-4V for image analysis of 230 cases, finding GPT-5 was perfect in classifying the modality used (100%), and had better anatomical localization (98% vs. 87%), but worse hallucination rates than GPT-4V (60% vs. 47%) and stubbornly high pathology omission rates (22% vs. 26%). Clinicians would be better off using AI developed specifically for clinical use.
- Bayer to Highlight Gadoquatrane Progress: Bayer will highlight the progress being made in developing its gadoquatrane low-dose MRI contrast agent at ECR 2026 in March. Data from several Phase 3 subgroup trials will be presented, including safety and efficacy for abdominal and cardiac MRI and MR angiography, as well as data from Phase 2 and 3 trials for central nervous system imaging. The studies involve a gadoquatrane dose representing a 60% reduction compared to standard macrocyclic MRI agents.
- Tracking Incidental Pulmonary Nodules: Growing use of CT is leading to increased detection of incidental pulmonary nodules, which present follow-up challenges. Swedish researchers investigated the issue in Radiology by tracking 29.6k people in the SCAPIS study, finding a detection rate of 28% for small nodules and 4.8% for larger ones. Pulmonary nodule prevalence increased with age and smoking history, but follow-up was required for only 6.1% of cases, perhaps due to the relatively healthy study population with a high percentage of non-smokers.
- Partnership Boosts Lung Screening: Oncology workflow software company Azra AI partnered with CancerIQ to improve CT lung cancer screening and follow-up. The companies will integrate their solutions, with CancerIQ identifying patients who are eligible for screening while Azra AI helps manage follow-up and tracking of those with suspicious lung nodules. The integrated approach should help cancer programs develop sustained lung cancer screening services that go beyond one-time imaging events.
- AHA Publishes New Stroke Guidelines: The American Heart Association this week published a comprehensive set of updated guidelines covering diagnosis and treatment of acute ischemic stroke. Sections of interest to the radiology community include a section on mobile stroke units (recommended), as well as the inclusion for the first time of guidelines for pediatric stroke (MRI is recommended for diagnosis). But the report declines to recommend the integration of AI into stroke care pathways, saying more research is needed.
- Quibim Eyes Life Sciences: AI company Quibim is looking to accelerate its expansion into the life sciences, and to that end appointed Dr. Jeanne Bolger as an independent director and adviser. Bolger held leadership positions in business development at companies like GSK and Johnson & Johnson, and also led corporate ventures at JJDC, J&J’s venture capital arm. Quibim’s AI solutions can be used during drug development to help pharmaceutical firms predict which patients will respond to drug candidates.
- QTI Partners with Olea: Breast imaging company QT Imaging partnered with Olea Medical to add its quantitative analytics and visualization software to help users interpret and analyze QTI’s breast acoustic CT images. Olea’s tools will be delivered over QTI’s InteleShare platform, and QTI will also distribute the QT Imaging Olea Vision software, a 3D and 4D DICOM viewer. Separately, QTI said its stock has been uplisted to trade on the Nasdaq Capital Market after a period of trading on the OTCQB Venture Market.
- Cardiac MRI Reduces Invasive Caths: A cardiac MRI technique could eliminate the need for invasive catheterization to measure blood oxygen levels in heart failure patients. Writing in JACC: Advances, U.K. researchers tested cardiac MR T2 mapping to measure mixed venous saturation (SvO2) in 628 heart failure patients. After a median three-year follow-up, the protocol’s ratio of right ventricular blood pool T2/left ventricular blood pool T2 had good agreement with invasive cath (R = 0.82) and was better than left ventricular ejection fraction measurements or NT-proBNP blood tests.
- Harrison.ai’s India AI Installs: Harrison.ai continues to make inroads for its AI solutions in India. The company this week announced an agreement to install its chest X-ray image analysis and reporting solutions at Manipal Hospitals, which runs facilities in 24 cities that serve nearly 8M patients annually. In December, Harrison partnered with teleradiology provider Apollo Radiology International to deploy its chest X-ray and CT brain algorithms.
- DOE Denies Ending ALARA: The U.S. Department of Energy denied news reports that surfaced earlier this month that it is ending use of the “as low as reasonably achievable” standard for radiation safety. One agency that is definitely reviewing its radiation regulations is the Nuclear Regulatory Commission (not part of DOE), which is reconsidering its use of the linear no-threshold model for radiation safety, on which ALARA is based. President Donald Trump in May 2025 ordered a review of NRC radiation regulations.
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Empowering Radiologists at the Point of Interpretation
Reserve your seat at this February 12 webinar to learn how Rad AI and RSNA Ventures have partnered to deliver trusted, peer-reviewed RSNA insights directly into the radiologist’s workflow — at the exact point of interpretation.
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Taking Flight at RSNA 2025
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Interpretation Efficiency in Radiology – A Critical Strategy
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- Transform Imaging Data into Actionable Predictions: When you choose Quibim, you get more than a partner for detecting and diagnosing prostate cancer on MRI scans. Learn how they can help you transform imaging data into actionable predictions by booking a demo today.
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