{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T20:40:25Z","timestamp":1733172025514,"version":"3.30.0"},"reference-count":41,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T00:00:00Z","timestamp":1721779200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Stereotactic body radiation therapy for hepatocellular carcinoma necessitates the implantation of gold fiducial markers in the liver, resulting in artifacts on computed tomography (CT) scans, which affect radiomic feature values.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>This report aims to assess the effect of these artifacts on radiomic features and how removing CT slices affects radiomic features extracted from 3D regions of interest (ROI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>First, the range variation in 38 tumor contours unaffected by artifacts was assessed after sequentially and randomly removing 25%, 50%, 75% of slices. Subsequently, the agreement of feature values before and after removing ROI slices containing artifacts from 186 patients\u2019 CT scans was assessed with Lin's concordance correlation coefficient (CCC) and a Wilcoxon signed\u2010rank test.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In artifact\u2010free tumor volumes, at least 71% of features remain robust with up to 50% of slices removed, while 56% remains robust with up to 75% of slices removed. When comparing contours before and after removing slices containing artifacts, around a third of features in the tumor contour and surrounding area remain robust (CCC\u00a0&gt;\u00a00.9), compared to 44% in the healthy liver. Concerning the tumor, 13% (Gray Level Size Zone Matrix) to 61% (first order) of the features remain robust (CCC\u00a0&gt;\u00a00.9). Over 90% of features differ significantly as assessed by Wilcoxon signed\u2010rank test, however.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This study demonstrates that removing slices containing artifacts is a feasible solution for the CT fiducial problem in this patient population and provides insight into which features are affected.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.17329","type":"journal-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T18:56:40Z","timestamp":1721847400000},"page":"8362-8370","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Radiomic feature robustness in CT scans affected by fiducial marker induced streak artifacts for patients with hepatocellular carcinoma"],"prefix":"10.1002","volume":"51","author":[{"given":"Damon","family":"Verstappen","sequence":"first","affiliation":[{"name":"The D\u2010Lab, Department of Precision Medicine, GROW School for Oncology and Reproduction Maastricht University  Maastricht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Pasquier","sequence":"additional","affiliation":[{"name":"The D\u2010Lab, Department of Precision Medicine, GROW School for Oncology and Reproduction Maastricht University  Maastricht The Netherlands"},{"name":"Academic Department of Radiation Oncology Centre Oscar Lambret  Lille France"},{"name":"CNRS, Centrale Lille UMR 9189 \u2010 CRIStAL Univ. 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