{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:59:39Z","timestamp":1778605179175,"version":"3.51.4"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T00:00:00Z","timestamp":1689292800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["13GW0473B"],"award-info":[{"award-number":["13GW0473B"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["13GW0473A"],"award-info":[{"award-number":["13GW0473A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Monitoring minimally invasive thermo ablation procedures using magnetic resonance (MR) thermometry allows therapy of tumors even close to critical anatomical structures. Unfortunately, intraoperative monitoring remains challenging due to the necessary accuracy and real\u2010time capability. One reason for this is the statistical error introduced by MR measurement, which causes the prediction of ablation zones to become\u00a0inaccurate.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>In this work, we derive a probabilistic model for the prediction of ablation zones during thermal ablation procedures based on the thermal damage model CEM<jats:sub>43<\/jats:sub>. By integrating the statistical error caused by MR measurement into the conventional prediction, we hope to reduce the amount of falsely classified\u00a0voxels.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The probabilistic CEM<jats:sub>43<\/jats:sub> model is empirically evaluated using a polyacrilamide gel phantom and three in\u2010vivo pig\u00a0livers.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The results show a higher accuracy in three out of four data sets, with a relative difference in S\u00f8rensen\u2013Dice coefficient from  to 3.97% compared to the conventional model. Furthermore, the ablation zones predicted by the probabilistic model show a false positive rate with a relative decrease of 11.89%\u201330.04% compared to the conventional\u00a0model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The presented probabilistic thermal dose model might help to prevent false classification of voxels within ablation zones. This could potentially result in an increased success rate for MR\u2010guided thermal ablation procedures. Future work may address additional error sources and a follow\u2010up study in a more realistic clinical\u00a0context.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.16605","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T09:15:37Z","timestamp":1689326137000},"page":"239-250","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A probabilistic thermal dose model for the estimation of necrosis in MR\u2010guided tumor ablations"],"prefix":"10.1002","volume":"51","author":[{"given":"Simon","family":"Schr\u00f6er","sequence":"first","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology Medical School Hanover Hanover Germany"},{"name":"Department of Simulation and Graphics Otto\u2010von\u2010Guericke\u2010University Magdeburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julian","family":"Alpers","sequence":"additional","affiliation":[{"name":"Department of Simulation and Graphics Otto\u2010von\u2010Guericke\u2010University Magdeburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel","family":"Gutberlet","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology Medical School Hanover Hanover Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inga","family":"Br\u00fcsch","sequence":"additional","affiliation":[{"name":"Department of Laboratory Animal Science Medical School Hanover Hanover Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Regina","family":"Rumpel","sequence":"additional","affiliation":[{"name":"Department of Laboratory Animal Science Medical School Hanover Hanover Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"Wacker","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology Medical School Hanover Hanover Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bennet","family":"Hensen","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology Medical School Hanover Hanover Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Hansen","sequence":"additional","affiliation":[{"name":"Department of Simulation and Graphics Otto\u2010von\u2010Guericke\u2010University Magdeburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,7,14]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/hep.21933"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1053\/jhep.2003.50047"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21265"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.21037\/qims.2017.06.06"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.3490085"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06609-7"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2020.02.013"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/0360-3016(84)90379-1"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.595679"},{"key":"e_1_2_10_12_1","first-page":"695","article-title":"Studies of thermal injury: II. 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