{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T16:04:50Z","timestamp":1784217890546,"version":"3.55.0"},"reference-count":32,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T00:00:00Z","timestamp":1783555200000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Sarcopenia (SP) affects 43.8% of men with prostate cancer (PCa), correlating with higher all\u2010cause mortality and reduced quality of life. Systematic SP screening could reduce treatment complications and improve prognosis. Although several validated software tools exist for CT\u2010based skeletal muscle assessment, their implementation in routine clinical practice remains limited due to time constraints, operator dependency, and lack of integration into radiotherapy planning systems.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>We aimed to validate a new SP screening method using MIM\u00ae software, a program commonly used in radiotherapy planning, to facilitate its implementation in daily practice.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In 41 patients with PCa, Skeletal Muscle Index (SMI) was retrospectively calculated using MIM\u00ae and compared with the validated ImageJ\u00ae method. Agreement was assessed via Bland\u2010Altman analysis, while sarcopenic status was classified using literature\u2010based SMI thresholds. Measurement time and reproducibility were evaluated using Wilcoxon tests, Intraclass Correlation Coefficient (ICC), and Fleiss kappa coefficients (\u03ba). Additionally, an automated MIM\u2010workflow was developed and compared to the semi\u2010manual MIM\u2010method in terms of agreement and processing time.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The cohort had a median age of 71 years, with 66% overweight or obese and 22% classified as sarcopenic. The new method demonstrated high concordance with the validated method (mean SMI difference: \u22120.04 cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      ,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.23), while significantly reducing calculation time (3.5\u00a0\u00b1\u00a01 min vs. 10\u00a0\u00b1\u00a01 min,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001). Reproducibility was excellent, with an ICC of 0.99 for SMI and perfect agreement on sarcopenic classification (\n                      <jats:italic>\u03ba<\/jats:italic>\n                      \u00a0=\u00a01). The automated MIM\u2010workflow further decreased processing time (median 3.2\u00a0min vs. 3.5\u00a0min,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001) but yielded slightly higher SMI values (mean difference: 2.3\u00a0cm\n                      <jats:sup>2<\/jats:sup>\n                      \/m\n                      <jats:sup>2<\/jats:sup>\n                      ,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.0001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>MIM\u00ae software provides a reproducible, reliable, and time\u2010efficient alternative for SP screening, allowing radiation\u2010oncologists to implement this assessment immediately into routine radiotherapy planning. Although the automated MIM\u2010workflow requires further calibration to correct for systematic SMI overestimation, it represents a promising step toward full automation and broader clinical integration of SP assessment within radiation\u2010oncology.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/acm2.70694","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T06:56:39Z","timestamp":1783666599000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integration of sarcopenia screening into radiotherapy planning: Validation of a time\u2010efficient SMI measurement method using MIM software in prostate cancer"],"prefix":"10.1002","volume":"27","author":[{"given":"Pauline","family":"De Bruyn","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Coquelet","sequence":"additional","affiliation":[{"name":"Department of Radiology Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paulo","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madeline","family":"Michel","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Descamps","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robbe","family":"Van den Begin","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dirk","family":"Van Gestel","sequence":"additional","affiliation":[{"name":"Universit\u00e9 libre de Bruxelles  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean\u2010Charles","family":"Preiser","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Universit\u00e9 libre de Bruxelles H\u00f4pital Universitaire de Bruxelles Institut Jules Bordet  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,9]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jgo.2023.101594"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/01635581.2021.1884731"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/ageing\/afy169"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2024.110663"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glz034"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2012.45.2722"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nut.2018.06.003"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.12158"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470\u20102045(08)70153\u20100"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.20945\/2359\u20103997000000174"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000000628"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2007.573"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.2522\/ptj.20110380"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/jpen.1036"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nut.2024.112421"},{"key":"e_1_2_13_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00261\u2010017\u20101123\u20106"},{"key":"e_1_2_13_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12880\u2010019\u20100316\u20106"},{"key":"e_1_2_13_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics14151696"},{"key":"e_1_2_13_20_1","unstructured":"BlankemeierL DesaiA ChavesJMZ et\u00a0al.Comp2Comp: open\u2010source body composition assessment on computed tomography. 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