Deep Learning–Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study Background: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for disease progression and mortality than chronological age, with chest computed tomography (CT) as a promising tool for calculating ePBA. However, the lack of models trained and validated with large-scale healthy adults hinders the generalizability of the CT-based ePBA. Objective: This study aims to develop an aging biomarker (ePBA) from multicenter chest CTs of healthy adults using deep learning and investigate the association between age gap (ePBA - chronological age) and pulmonary function as well as all-cause mortality in patients with chronic obstructive pulmonary disease (COPD). Methods: We used 11,187 chest CT scans from healthy adults at 3 health management centers and used multiple deep learning models. Of these, 7726 scans from institution A were used for model development. The remaining CT scans from institutions B (n=1506) and C (n=1955) served as external test datasets. To examine whether ePBA provided information beyond chronological age in patients with the disease, we investigated the association of age gap with lung function and all-cause mortality among 138 patients with COPD hospitalized at the same time period in institution A. Results: The deep learning models demonstrated acceptable applicability for this task and exhibited a strong correlation between ePBA and chronological age. Age gap was significantly associated with forced expiratory volume in 1 second expressed as percentage of predicted values reduction (=−0.18; =.03) and an increased risk of all-cause mortality (hazard ratio: 1.16, 95% CI 1.08-1.25) in patients with COPD. Conclusions: This study developed and validated a biomarker of aging—ePBA—with deep learning models based on chest CT. Age gap could serve as a novel clinical biomarker in patients with COPD.

New in JMIR Aging: Deep Learning–Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study #DeepLearning #PulmonaryHealth #BiologicalAge #CTImaging #COPD

Difficult round window access during cochlear implantation: a simple prediction method utilising pre-operative CT imaging | The Journal of Laryngology & Otology | Cambridge Core Difficult round window access during cochlear implantation: a simple prediction method utilising pre-operative CT imaging

New FirstView article: "Difficult round window access during cochlear implantation: a simple prediction method utilising pre-operative #CTimaging "

doi.org/10.1017/S002...

#CochlearImplant #otology #HearingHealth #radiology

Synapse: Your Connection to our MSK Authors
Meet: Cathleen A Cooper
Research Focus: Radiology; Associate Director, Hospital Operations

Pulmonary metastases: Effect of CT section thickness on measurement - Initial experience
synapse.mskcc.org/synapse/work...

#PulmonaryMetastases #CTImaging

Call for Papers: Advanced Cardiac CT Application. Submit Now. European Society of Cardiology logo and journal cover with abstract design elements.

Submit original research, reviews, or case-based insights to the EHJ-CR’s special issue on Advanced Cardiac CT Applications, highlighting its expanding role in patient care.

⏰ Deadline to submit: 1 June 2026
🔗 oxford.ly/4c7NSIU
@escardio.bsky.social #EHJ #CTImaging

#PhotonCountingCT can improve diagnostic accuracy and lesion characterization while reducing use of contrast agents and radiation dose in #OncoRad, say Italian researchers. buff.ly/cFFEj9g #CTImaging #Radiology

📅 Jan 22, 2026
ISCT presents Photon Counting Webinar | Part 1

Explore emerging applications of Photon Counting CT and earn
🎓 1 AMA PRA Category 1 CME Credit™

🔗 Register now: [link]
#PhotonCountingCT #Radiology #CTImaging #CME #Radiology #Radres #Radtech

#DiceCT alert at #SICB2026
🐸 *Assessing the impact of sequential staining on microCT data integrity in amphibians* — Jan 6, 3:30–5:30 PM, P3-169A.
Authors: Megan Hostetter, Valdez, Heesy, Phillips, & Lynch.
Compares Lugol’s vs PTA staining effects.
#SQuEACsLab #CTImaging #Morphology #Neuroanatomy

SICB poster alert!
🐟 *Morphological brain variation within Cyprinodontiformes* — Jan 5, 3:30–5:30 PM, P2-013.
Authors: John Neal, Dominik Valdez, Phillips, & Lynch.
Brain shape variation across six species.
#SICB2026 #SQuEACsLab #CTImaging #Morphology #Neuroanatomy #Evolution #ComparativeBiology

An evaluation of reliability in measurement of native femoral torsion on CT imaging.
Adams, Mark R et al.
Paper
Details
#CTimaging #femortorsion #reliabilitystudy

🧠 *Neuroanatomical correlates of ecological specialization in two mustelid species* — Jan 5, 3:30–5:30 PM, P2-004.
Authors: Blake Andrea, James Bates, Dominik Valdez, Heather F. Smith, & Lynch.
Examines sensory ecology via CT.
#SICB2026 #CTImaging #Morphology #Neuroanatomy #Evolution

🦦 *Variation in orbit-to-semicircular canal orientation in the North American river otter* — Jan 4, 3:30–5:30 PM, P1-143.
Authors: Dominik Valdez, Austin Bay, Hansan Jones, Celeste Delap, Smith, Heesy, & Lynch
#SICB2026 #SQuEACsLab #CTImaging #Morphology #Neuroanatomy #Evolution #ComparativeBiology

First SICB lineup!
🧠 *On being the right brain-body size* — Jan 4, 11:30–11:45 AM, B117.
Authors: Christopher P. Heesy & Leigha M. Lynch.
A deep look at how body mass variation affects allometric analyses.
#SICB2026 #SQuEACsLab #CTImaging #Morphology #Neuroanatomy #Evolution #ComparativeBiology

🎉 SQuEACs Lab at SICB 2026!
We’ll be highlighting research across neuroanatomy, evolution, and CT imaging throughout the holiday break.
#SICB2026 #SQuEACsLab #CTImaging #Morphology #Neuroanatomy #Evolution #ComparativeBiology

Nazca ‘Tridactyl’ Mummies: CT Imaging, Metallic Implants, and Eggs Revive a High-Stakes Authenticity Debate Project Unity’s presenter outlines claims and counterclaims surrounding the Nazca ‘tridactyl’ mummies, citing CT imaging, radiocarbon dating, metallic implants, and alleged reproductive evidence across multiple specimens. The discussion details a growing catalog—from adult and juvenile forms to purported egg-bearing females—while noting the need for independent, peer-reviewed validation.

CT scans, radiocarbon dates, metallic implants and alleged egg-bearing specimens in the Nazca tridactyl mummies have reignited an authenticity debate - Project Unity's claims require independent peer review. #Nazca #Tridactyl #CTImaging

"Every patient, every time is getting the exact same level of care." Speaking with Sean Bortnem, MBA, BS, Director of Imaging Services at Avera Health about the value of platform uniformity.

#rsna25 #radiology #imaging #ctimaging

AI helps cancer patients better understand CT reports A current study shows that patients can quickly read simplified findings generated by AI and find them helpful.

A study shows that #AI can make CT findings easier to understand. #Patients rated the automatically simplified texts as more comprehensible and more helpful. However, a review by #healthprofessionals remains necessary: go.tum.de/382543

#LLMs #CTImaging

📷iStock/ Markovtel

Hernia surgery planning with CT imaging at Sahaj Hospital in Indore provides detailed anatomy visualization for complex hernias requiring advanced reconstructive techniques.
📍 Sahaj Hospital, Indore
📞 6262506050

#HerniaSurgery #SahajHospital #CTImaging #AdvancedImaging #SurgicalPlanning

💡 Current risk models miss 25% of heart attacks. Our research shows computational anatomy & stress mapping could prevent plaque before it forms, potentially reshaping heart disease risk prediction. 🧠 Open access → buff.ly/LPPxnxH #CTImaging #CADprevention #Innovation

Within minutes of a patient’s arrival to a hospital with an acute ischemic #stroke, using extended #CTImaging that also scans the #heart could greatly aid in accurate diagnosis and patient outcomes: www.medcentral.com/neurology/ex...

ISCT 2025 brings together the global CT community for three days of advanced education and meaningful connection.
Join us Sept 4–6 and be part of the conversation that’s shaping the future of CT.
🌐 www.isct.org
#CTImaging #Radiology #Radres

ISCT 2025 dives into how and why Photon Counting & Multi-energy CT are changing clinical practice. Whether you're already working with these technologies or preparing for the future, this session delivers the "how" and the "why" from leaders in the field. #Radiology #CTImaging #PhotonCountingCT

Featured today by @MSKLibrary: Preoperative unveiling of mucinous ovarian cancer subtypes: Clinical and CT features dx.doi.org/10.1016/j.ej...

#OvarianCancer #MucinousCarcinoma
#GynecologicOncology #CTImaging #CancerDiagnosis
#PreoperativeAssessment #RadiologyResearch
#CancerSubtypes #WomensHealth

ISCT 2025 Abstract Submission Announcement

Share your work with the global CT community at ISCT25!! Submit your abstract: www.isct.org
#CTImaging #MedicalResearch #Radiology #RadTech #Radiographer #AbstractSubmission #EarlyCareerResearchers #Medsky #Medicalimaging #Imaging #medicaleducation #medsky #radsky #Radres

🚨 Call for Abstracts at ISCT25
Are you pushing the boundaries of CT imaging? Share your research with the global CT community at ISCT 2025!
Submit your abstract now: www.isct.org
#CTImaging #MedicalResearch #Radiology #RadTech #Radiographer #AbstractSubmission #EarlyCareerResearchers

Ultralow-dose CT identifies pneumonia in immunocompromised patients Ultralow-dose CT images "denoised" by an AI algorithm can effectively diagnose pneumonia in patients with weakened immune systems.

The findings are good news for patients when it comes to radiation exposure #radiology #CTimaging #pneumonia

Participants can access the platform for 6 months and learn through videos, quizzes, forums, live Q&A, and facilitator support.

#CTImaging #oncology #bodycomposition

PCCT bests conventional CT for quantifying coronary plaque Photon-counting detector CT (PCCT) used for coronary CT angiography outperforms energy-integrating detector CT in quantifying coronary plaque.

"The importance of quantifying coronary plaque burden has been emphasized previously because plaque burden, not stenosis, is the major predictor of risk of cardiovascular events and death," researchers noted #radiology #coronaryplaque #CTimaging #PCCT

AI model aimed at adrenal glands, nodules could reduce workload by 10% A future vision of AI in this context could entail analyzing adrenal nodules across multiple phases, extracting radiomic data, and providing a predictability score, study authors said.

The findings are important because adrenal nodules are often incidentally detected at abdominal CT examinations that are not specifically focused on evaluating the adrenal gland #radiology #CTimaging #AI

Opportunistic CT could boost osteoporosis screening by 113% Opportunistic CT imaging bone density screening could increase osteoporosis screening by 113% without additional imaging -- and save the healthcare enterprise almost $100 million annually.

The findings could improve patient care, especially for those who are at highest risk of fracture #radiology #osteoporosis #CTimaging

Image of the Physics in Medicine & Biology Article of the month front cover.

Exciting development in CT imaging! 🧠

Find out how we can create accurate dose and noise maps for specific organs using Monte Carlo simulations and deep learning - better diagnostics with lower radiation exposure!

Read here: ow.ly/QtUI50V4950 ⚛️🧪

#CTImaging #MonteCarlo #PMB