ArticleRadiology2023
Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes.
Registry-linked trialOpen access · greenAbstract read
In one paragraph
Article in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06531200 (Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning), which is not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 4% of its field
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.
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.
Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning
Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Impact of myosteatosis on outcomes after liver transplantation: a systematic review and meta-analysis.Hepatology international · 2025Pooled it
- Prevalence and clinical impact of sarcopenia in liver transplant recipients: A meta-analysis.World journal of gastroenterology · 2024Pooled it
- Sarcopenic obesity is significantly associated with poorer overall survival after liver transplantation: a systematic review and meta-analysis.Frontiers in nutrition · 2024Pooled it
- Decoding the association between CT-derived body composition metrics and prognosis in stage II rectal cancer.Insights into imaging · 2026Article
- Association between pre-operative computed tomography-based adipose tissue quantification and post-transplant dyslipidemia in renal transplantation recipients.Frontiers in nutrition · 2026Article
- CT-derived myosteatosis for baseline risk stratification of cardiotoxicity in patients with diffuse large B-cell lymphoma receiving anthracyclines.BMC medical imaging · 2025Article
- Automated abdominal CT imaging biomarkers and clinical frailty measures associated with postoperative deceased-donor liver transplant outcomes.European radiology · 2025Article
- Enhancing risk stratification in diabetic gastric cancer: muscle-fat ratio from photon-counting CT as a predictor of postoperative complications.BMC medical imaging · 2025Article
- A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST).Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025Article
- Comparison of Sarcopenia Assessment in Liver Transplant Recipients by Computed Tomography Freehand Region-of-Interest versus an Automated Deep Learning System.Clinical transplantation · 2025Article
- Association between myosteatosis or sarcopenia based on abdominal CT and hypertension in systemic lupus erythematosus patients.Lipids in health and disease · 2025Article
- Mean liver density independently predicts therapeutic response and liver-related mortality in patients with primary biliary cholangitis.Quantitative imaging in medicine and surgery · 2024Article
- Impact of CT-relevant skeletal muscle parameters on post-liver transplantation survival in patients with hepatocellular carcinoma.Hepatology international · 2024Article
- Experimental and clinical validation of an artificial intelligence metal artifact correction algorithm for low-dose following up CT of percutaneous vertebroplasty.Quantitative imaging in medicine and surgery · 2024Article
- Association between higher intermuscular adipose tissue and decreased renal function in patients with systemic lupus erythematosus mediated by insulin resistance.Insights into imaging · 2024Article
- Clinical, functional, and opportunistic CT metrics of sarcopenia at the point of imaging care: analysis of all-cause mortality.Skeletal radiology · 2024Article
- Computed tomography-based body composition parameters can predict short-term prognosis in ulcerative colitis patients.Insights into imaging · 2024Article
- The coexistence of myosteatosis and the creatinine/cystatin C ratio are determinants of outcomes in cholangiocarcinoma patients undergoing curative surgery.Frontiers in oncology · 2024Article
- Preclinical validation of a novel deep learning-based metal artifact correction algorithm for orthopedic CT imaging.Journal of applied clinical medical physics · 2023Article
- Liver Transplant in Patients with Hepatocarcinoma: Imaging Guidelines and Future Perspectives Using Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Omid Shafaat *From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).
Yi Liu *From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0003-1640-3501
Kyle R JacksonFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).
Jennifer D MotterFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0003-1750-0119
Brian J BoyarskyFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0001-6902-9854
Muhammad A LatifFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).
Frank YuanFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0003-4320-1219
Adham KhalilFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0002-0582-8160
Elizabeth A KingFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).
Atif ZaheerFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0002-4824-6654
Ronald M SummersFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0001-8081-7376
Dorry L SegevFrom the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).
Mara McAdams-DeMarco *From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0003-3013-925X
Clifford R Weiss *From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.).ORCID 0000-0003-2180-1731
Johns Hopkins University · US
Funding
Clinical and Laboratory Research Training for Gastrointestinal SurgeonsT32DK007713 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI DAVID J HACKAM · 1996 to 2026
$5.2MTraining for Clinician Scientists in Imaging ResearchT32EB006351 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI POMPER, MARTIN G · 2006 to 2022
$4.0MDeveloping personalized immunosuppression for older kidney transplant recipientsR01DK120518 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCADAMS DEMARCO, MARA A. · 2019 to 2022
$2.7MPatient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956kDifferential Survival Benefit of Incompatible Living Donor Kidney Transplantation: Modeling Outcomes for Different Patient PhenotypesF32DK113719 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI JACKSON, KYLE R · 2017 to 2019
$238kComputer Aided Detection for Radiologic ImagesZIACL040004 · CLC · CLINICAL CENTER · PI SUMMERS, RONALD M. · 2009 to 2025
$0kNIAID NIH HHS K24 AI144954NIBIB NIH HHS T32 EB006351NIDDK NIH HHS F32 DK113719NIDDK NIH HHS R01 DK120518NIDDK NIH HHS T32 DK007713
Abstract
Background Pre-liver transplant (LT) sarcopenia is associated with poor survival. Methods exist for measuring body composition with use of CT scans; however, it is unclear which components best predict post-LT outcomes. Purpose To quantify the association between abdominal CT-based body composition measurements and post-LT mortality in a large North American cohort. Materials and Methods This was a retrospective cohort of adult first-time deceased-donor LT recipients from 2009 to 2018 who underwent pre-LT abdominal CT scans, including at the L3 vertebral level, at Johns Hopkins Hospital. Measurements included sarcopenia (skeletal muscle index [SMI] <50 in men and <39 in women), sarcopenic obesity, myosteatosis (skeletal muscle CT attenuation <41 mean HU for body mass index [BMI] <25 and <33 mean HU for BMI ≥25), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and VAT/SAT ratio. Covariates in the adjusted models were selected with use of least absolute shrinkage and selection operator regression with lambda chosen by means of 10-fold cross-validation. Cox proportional hazards models were used to quantify associations with post-LT mortality. Model discrimination was quantified using the Harrell C-statistic. Results A total of 454 recipients (median age, 57 years [IQR, 50-62 years]; 294 men) were evaluated. In the adjusted model, pre-LT sarcopenia was associated with a higher hazard ratio (HR) of post-LT mortality (HR, 1.6 [95% CI: 1.1, 2.4]; C-statistic, 0.64;
Indexed as
Liver TransplantationSarcopeniaAdultBody CompositionFemaleHumansLiving DonorsMaleMiddle AgedMuscle, SkeletalRetrospective StudiesTomography, X-Ray Computed
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NCT06531200ClinicalTrials.gov
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.