One Step Forward in Opportunistic Screening for Body Composition.

HomeRadiologyVol. 307, No. 5 PreviousNext Reviews and CommentaryEditorialOne Step Forward in Opportunistic Screening for Body CompositionAngela Tong , Kirti MagudiaAngela Tong , Kirti MagudiaAuthor AffiliationsFrom the NYU Grossman School of Medicine, 660 1st Ave, 3rd Floor, New York, NY 10016 (A.T.); and Duke University School of Medicine, Durham, NC (K.M.).Address correspondence to A.T. (email: [email protected]).Angela Tong Kirti MagudiaPublished Online:May 16 2023https://doi.org/10.1148/radiol.231003MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Lee MH, Zea R, Garrett JW, Graffy PM, Summers RM, Pickhardt PJ. Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes. Radiology 2023;306(2):e220574. Link, Google Scholar2. Pickhardt PJ. Value-added Opportunistic CT Screening: State of the Art. Radiology 2022;303(3):E41. Link, Google Scholar3. Weston AD, Korfiatis P, Kline TL, et al. Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning. Radiology 2019;290(3):669–679. Link, Google Scholar4. Magudia K, Bridge CP, Bay CP, et al. Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves. Radiology 2021;298(2):319–329. Link, Google Scholar5. Nachit M, Horsmans Y, Summers RM, Leclercq IA, Pickhardt PJ. AI-based CT body composition identifies myosteatosis as a key mortality predictor in asymptomatic adults. Radiology 2023;307(5):e222008. Link, Google Scholar6. Graffy PM, Liu J, Pickhardt PJ, Burns JE, Yao J, Summers RM. Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment. Br J Radiol 2019;92(1100):20190327. Crossref, Medline, Google Scholar7. Bridge CP, Best TD, Wrobel MM, et al. A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans. Radiol Artif Intell 2022;4(1):e210080. Link, Google Scholar8. Shafaat O, Liu Y, Jackson KR, et al. Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes. Radiology 2023;306(3):e212403. Link, Google Scholar9. Magudia K, Bridge CP, Bay CP, et al. Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events. AJR Am J Roentgenol 2023;220(2):236–244. Crossref, Medline, Google Scholar10. Eng D, Chute C, Khandwala N, et al. Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ Digit Med 2021;4(1):88. Crossref, Medline, Google ScholarArticle HistoryReceived: Apr 19 2023Revision requested: Apr 19 2023Revision received: Apr 19 2023Accepted: Apr 20 2023Published online: May 16 2023 FiguresReferencesRelatedDetailsAccompanying This ArticleAI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic AdultsMay 16 2023RadiologyRecommended Articles Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical ImplementationRadiology2020Volume: 298Issue: 2pp. 330-331Value-added Opportunistic CT Screening: State of the ArtRadiology2022Volume: 303Issue: 2pp. 241-254AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic AdultsRadiology2023Volume: 307Issue: 5Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse OutcomesRadiology2022Volume: 306Issue: 2Opportunistic Screening: Radiology Scientific Expert PanelRadiology2023Volume: 307Issue: 5See More RSNA Education Exhibits We Can Go Further: The Role Of Opportunistic MRI On Bone And Muscle QualityDigital Posters2021Hidden Behind the Diagnosis of Hepatic Steatosis - Nonalcoholic Fatty Liver Disease, Its Comorbidities, and the Important Role of the RadiologistDigital Posters2020Automated CT Biomarkers for Opportunistic Cardiometabolic Screening: Adding Value Beyond the Clinical Indication Digital Posters2019 RSNA Case Collection Hepatic SteatosisRSNA Case Collection2021Multifocal hepatic steatosis RSNA Case Collection2020Radioembolization of Liver Metastasis RSNA Case Collection2020 Vol. 307, No. 5 Metrics Altmetric Score PDF download