Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer.

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Title: Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer.
Authors: Gal R; Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., van Velzen SGM; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.; Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers-Location AMC, University of Amsterdam, Amsterdam, the Netherlands., Hooning MJ; Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands., Emaus MJ; Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., van der Leij F; Department of Radiation Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., Gregorowitsch ML; Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., Blezer ELA; Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., Gernaat SAM; Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Karolinska University, Stockholm, Sweden., Lessmann N; Department of Radiology and Nuclear Medicine, Radboudumc, Nijmegen, the Netherlands., Sattler MGA; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands., Leiner T; Department of Radiology, Utrecht University Medical Centre, University of Utrecht, Utrecht, the Netherlands., de Jong PA; Department of Radiology, Utrecht University Medical Centre, University of Utrecht, Utrecht, the Netherlands., Teske AJ; Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., Verloop J; Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands., Penninkhof JJ; Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands., Vaartjes I; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands., Meijer H; Department of Radiation Oncology, Radboudumc, Nijmegen, the Netherlands., van Tol-Geerdink JJ; Department of Radiation Oncology, Radboudumc, Nijmegen, the Netherlands., Pignol JP; Department of Radiation Oncology, Dalhousie University, Halifax, Nova Scotia, Canada., van den Bongard DHJG; Department of Radiation Oncology, Amsterdam University Medical Centers, Amsterdam, the Netherlands., Išgum I; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.; Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers-Location AMC, University of Amsterdam, Amsterdam, the Netherlands.; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers - Location AMC, University of Amsterdam, Amsterdam, the Netherlands., Verkooijen HM; Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Source: JAMA oncology [JAMA Oncol] 2021 Jul 01; Vol. 7 (7), pp. 1024-1032.
Publication Type: Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101652861 Publication Model: Print Cited Medium: Internet ISSN: 2374-2445 (Electronic) Linking ISSN: 23742437 NLM ISO Abbreviation: JAMA Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2374-2445
DOI:10.1001/jamaoncol.2021.1144