{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T19:10:56Z","timestamp":1790795456547,"version":"4.1.0"},"reference-count":46,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T00:00:00Z","timestamp":1717977600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Acute pulmonary embolism (APE) is a potentially life\u2010threatening disorder, emphasizing the importance of accurate risk stratification and survival prognosis. The exploration of imaging biomarkers that can reflect patient survival holds the potential to further enhance the stratification of APE patients, enabling personalized treatment and early intervention. Therefore, in this study, we develop computed tomography pulmonary angiography (CTPA) radiomic signatures for the prognosis of 7\u2010 and 30\u2010day all\u2010cause mortality in patients with APE.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Diagnostic CTPA images from 829 patients with APE were collected. Two hundred thirty\u2010four features from each skeletal muscle (SM), intramuscular adipose tissue (IMAT) and both tissues combined (SM\u00a0+\u00a0IMAT) were calculated at the level of thoracic vertebra 12. Radiomic signatures were derived using 10 times repeated three\u2010fold cross\u2010validation on the training data for SM, IMAT and SM\u00a0+\u00a0IMAT for predicting 7\u2010 and 30\u2010day mortality independently. The performance of the radiomic signatures was then evaluated on held\u2010out test data and compared with the simplified pulmonary embolism severity index (sPESI) score, a well\u2010established biomarker for risk stratification in APE. Predictive accuracy was assessed by the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI), sensitivity and specificity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The radiomic signatures based on IMAT and a combination of SM and IMAT (SM\u00a0+\u00a0IMAT) achieved moderate performance for the prediction of 30\u2010day mortality on test data (IMAT: AUC\u00a0=\u00a00.68, 95% CI [0.57\u20130.78], sensitivity\u00a0=\u00a00.57, specificity\u00a0=\u00a00.73; SM\u00a0+\u00a0IMAT: AUC\u00a0=\u00a00.70, 95% CI [0.60\u20130.79], sensitivity\u00a0=\u00a00.74, specificity\u00a0=\u00a00.54). Radiomic signatures developed for predicting 7\u2010day all\u2010cause mortality showed overall low performance. The clinical signature, that is, sPESI, achieved slightly better performance in terms of AUC on test data compared with the radiomic signatures for the prediction of both 7\u2010 and 30\u2010day mortality on the test data (7\u00a0days: AUC\u00a0=\u00a00.73, 95% CI [0.67\u20130.79], sensitivity\u00a0=\u00a00.92, specificity\u00a0=\u00a00.16; 30\u00a0days: AUC\u00a0=\u00a00.74, 95% CI [0.66\u20130.82], sensitivity\u00a0=\u00a00.97, specificity\u00a0=\u00a00.16).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We developed and tested radiomic signatures for predicting 7\u2010 and 30\u2010day all\u2010cause mortality in APE using a multicentric retrospective dataset. The present multicentre work shows that radiomics parameters extracted from SM and IMAT can predict 30\u2010day all\u2010cause mortality in patients with APE.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcsm.13488","type":"journal-article","created":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T06:21:40Z","timestamp":1718086900000},"page":"1430-1440","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Short\u2010term mortality prediction in acute pulmonary embolism: Radiomics values of skeletal muscle and intramuscular adipose tissue"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4026-6586","authenticated-orcid":false,"given":"Iram","family":"Shahzadi","sequence":"first","affiliation":[{"name":"Department of Radiology, Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital, Ruhr University Bochum  Bochum Germany"},{"name":"Siemens Healthineers GmbH  Erlangen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Zwanenburg","sequence":"additional","affiliation":[{"name":"OncoRay\u2010National Center for Radiation Research in Oncology, Faculty of Medicine, and University Hospital Carl Gustav Carus Technische Universit\u00e4t Dresden, Helmholtz\u2010Zentrum Dresden\u2010Rossendorf  Dresden Germany"},{"name":"National Center for Tumor Diseases (NCT), Partner Site Dresden  Dresden Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lynn Johann","family":"Frohwein","sequence":"additional","affiliation":[{"name":"Siemens Healthineers GmbH  Erlangen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominik","family":"Schramm","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Halle  Halle Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans Jonas","family":"Meyer","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Leipzig  Leipzig Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mattes","family":"Hinnerichs","sequence":"additional","affiliation":[{"name":"Department of Radiology University of Magdeburg  Magdeburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph","family":"Moenninghoff","sequence":"additional","affiliation":[{"name":"Department of Radiology, Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital, Ruhr University Bochum  Bochum Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julius Henning","family":"Niehoff","sequence":"additional","affiliation":[{"name":"Department of Radiology, Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital, Ruhr University Bochum  Bochum Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan Robert","family":"Kroeger","sequence":"additional","affiliation":[{"name":"Department of Radiology, Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital, Ruhr University Bochum  Bochum Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Borggrefe","sequence":"additional","affiliation":[{"name":"Department of Radiology, Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital, Ruhr University Bochum  Bochum Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexey","family":"Surov","sequence":"additional","affiliation":[{"name":"Department of Radiology, Neuroradiology and Nuclear Medicine Johannes Wesling University Hospital, Ruhr University Bochum  Bochum 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