Evidence map›Paper›PMID 41609478›Full record

ArticleRadiology. Cardiothoracic imaging2026

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis.

Amir Azimi, Kyle Atlas, Anthony P Reeves, Chenyu Zhang, Jakob Wasserthal, Seyed Reza Mirjalili, Thomas Atlas, Claudia I Henschke, David F Yankelevitz, Javier J Zulueta and 26 more

Abstract readMulticenter Study
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Amir AzimiHeartLung.AI, 2450 Holcombe Blvd, Houston, TX 77021.ORCID 0000-0002-8317-7009
Kyle AtlasHeartLung.AI, 2450 Holcombe Blvd, Houston, TX 77021.ORCID 0000-0003-3061-3855
Anthony P ReevesDepartment of Electrical and Computer Engineering, Cornell University, Ithaca, NY.ORCID 0000-0002-1451-3080
Chenyu ZhangHeartLung.AI, 2450 Holcombe Blvd, Houston, TX 77021.ORCID 0000-0002-9799-8772
Jakob WasserthalClinic of Radiology and Nuclear Medicine, University of Basel, Basel, Switzerland.ORCID 0000-0002-9921-5698
Seyed Reza MirjaliliHeartLung.AI, 2450 Holcombe Blvd, Houston, TX 77021.
Thomas AtlasTustin Teleradiology, Tustin, Calif.
Claudia I HenschkeDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-6085-5305
David F YankelevitzDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.
Javier J ZuluetaDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0003-3182-3555
Juan P de-TorresPulmonary Department, Clínica Universidad de Navarra, Pamplona, Spain.
Luis M SeijoClínica Universitaria de Navarra, Pamplona, Spain.
Jeffrey I MechanickKravis Center for Clinical Cardiovascular Health, Mount Sinai Fuster Heart Hospital, New York, NY.ORCID 0000-0002-0657-588X
Andrea BranchDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.
Ning MaDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.
Rowena YipDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-6208-2780
Wenjun FanDepartment of Radiology, University of California Irvine, Irvine, Calif.
Sion K RoyThe Lundquist Institute, Torrance, Calif.
Khurram NasirHealth Equity and Disparities Research, Division of Cardiovascular Prevention and Wellness, and Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex.
Sabee MolloiDepartment of Radiology, University of California Irvine, Irvine, Calif.
Zahi A FayadDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-3439-7347
Michael V McConnellStanford Prevention Research Center, Stanford University School of Medicine, Stanford, Calif.ORCID 0000-0001-8743-0932
Ioannis A KakadiarisUniversity of Houston, Houston, Tex.
George S AbelaDivision of Cardiology, Michigan State University, East Lansing, Mich.ORCID 0000-0002-8201-956X
Rozemarijn VliegenthartDepartment of Radiology, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-7262-3376
David J MaronHealth Equity and Disparities Research, Division of Cardiovascular Prevention and Wellness, and Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex.ORCID 0000-0002-4867-8588
Jagat NarulaUniversity of Houston, Houston, Tex.ORCID 0000-0002-0280-3996
Kim A WilliamsUniversity of Louisville, Louisville, Ky.ORCID 0000-0001-9858-5761
Prediman K ShahCedars-Sinai Medical Center, Los Angeles, Calif.ORCID 0000-0002-6351-8291
Matthew J BudoffThe Lundquist Institute, Torrance, Calif.ORCID 0000-0002-9616-1946
Daniel LevyDepartment of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Emelia J BenjaminSchool of Public Health, Boston University, Boston, Mass.ORCID 0000-0003-4076-2336
Roxana MehranDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-5546-262X
Robert A KlonerDepartment of Cardiovascular Medicine, Huntington Medical Research Institutes, Pasadena, Calif.ORCID 0000-0002-6258-0544
Nathan D WongHeart Disease Prevention Program, Mary and Steve Wen Cardiovascular Division, University of California Irvine, Irvine, Calif.ORCID 0000-0003-1102-7324
Morteza NaghaviHeartLung.AI, 2450 Holcombe Blvd, Houston, TX 77021.ORCID 0000-0001-8112-175X

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTERN01HC95159 · NHLBI · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2007 to 2014
$19.6M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95160 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL · 2007 to 2015
$7.7M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC95164 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIU, KIANG · 2007 to 2015
$7.0M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95161 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHEA, STEVEN · 2007 to 2014
$6.4M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95165 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BURKE, GREGORY L · 2007 to 2014
$6.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC95163 · NHLBI · UNIVERSITY OF MINNESOTA · PI FOLSOM, AARON R · 2007 to 2014
$6.1M
TITLE: MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)N01HC95162 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY · 2007 to 2015
$6.0M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCI NIH HHS U01 CA288425NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01HC95159NHLBI NIH HHS N01HC95160NHLBI NIH HHS N01HC95161NHLBI NIH HHS N01HC95162NHLBI NIH HHS N01HC95163NHLBI NIH HHS N01HC95164NHLBI NIH HHS N01HC95165NHLBI NIH HHS N01HC95166NHLBI NIH HHS N01HC95167NHLBI NIH HHS N01HC95168NHLBI NIH HHS N01HC95169NHLBI NIH HHS R01 HL146666NIAMS NIH HHS R42 AR070713NIOSH CDC HHS U01 OH012622
6 · The paper itself

Abstract

Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnosed chronic obstructive pulmonary disease (COPD) and compare it with an artificial intelligence (AI)-measured biomarker of emphysema derived from the same scans. Materials and Methods In this prospective study, baseline CAC CT scans and 20-year follow-up data were analyzed. Myosteatosis was defined as the lowest quartile of thoracic skeletal muscle mean attenuation (males < 33.5 HU, females < 27.0 HU). The emphysema-like lung biomarker was quantified as the percentage of lung voxels below -950 HU in CAC CT scans. COPD was identified using the

Indexed as

Artificial IntelligenceCoronary Artery DiseasePulmonary Disease, Chronic ObstructiveTomography, X-Ray ComputedVascular CalcificationAgedCoronary VesselsFemaleHumansMaleMiddle AgedMuscle, SkeletalPredictive Value of TestsProspective StudiesAdipose Tissue (Obesity Studies)AI-CVDApplications-CTChronic Obstructive Pulmonary DiseaseCoronary Artery Calcium ScanEmphysemaMetabolic DisordersMyosteatosisPulmonaryThorax

Identifiers

PMID41609478
PMCPMC12951201

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.