{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T04:16:44Z","timestamp":1773893804923,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:00:00Z","timestamp":1768780800000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":["Medical Physics"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Detecting and quantifying tumor vascularity is critical for diagnosing cancer, guiding therapy, and monitoring disease\u00a0progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study focuses on quantifying pharmacokinetic parameters derived from multi\u2010compartment models by analyzing and processing dynamic contrast\u2010enhanced magnetic resonance imaging (DCE\u2010MRI) data of prostate cancer\u00a0lesions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Previous voxel\u2010based analysis employed the three\u2010time\u2010point method to classify different regions based on kinetic patterns. The key pharmacokinetic parameters\u2014such as , the vascular elimination rate, and , the extravascular transfer rate, were extracted using a novel point\u2010wise interpolation method designed for application in compartmental\u00a0models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Results from the simple two\u2010compartment model proposed by Brix revealed the presence of both fast and slow exchange regions, suggesting the potential for a more complex multi\u2010compartment model. Parameter distribution maps generated from this analysis appear to correlate with pathological and unaffected glandular regions. Further investigation using a three\u2010compartment model identified an additional exchange rate that lies between the previously observed fast and slow rates, supporting the assumption of tissue heterogeneity beyond the two\u2010compartment\u00a0framework.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A simple two\u2010compartment model can effectively describe the kinetics of contrast media. When combined with a novel voxel\u2010wise method, it enables the estimation of tissue exchange parameters and their spatial distributions. These results have potential applications in the diagnostic evaluation and therapeutic monitoring of prostate cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.70229","type":"journal-article","created":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:03:42Z","timestamp":1768809822000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A novel method for pharmacokinetic parameters quantification in DCE\u2010MRI: Application in prostate cancer"],"prefix":"10.1002","volume":"53","author":[{"given":"Jhonalbert","family":"Aponte","sequence":"first","affiliation":[{"name":"Hospital Oncol\u00f3gico Fundaci\u00f3n Arturo L\u00f3pez P\u00e9rez Santiago de Chile Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1lvaro","family":"Ru\u00edz","sequence":"additional","affiliation":[{"name":"Hospital Oncol\u00f3gico Fundaci\u00f3n Arturo L\u00f3pez P\u00e9rez Santiago de Chile Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacksson","family":"S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Physics Department, Faculty of Science and Technology Universidad Nacional Pedro Henr\u00edquez Ure\u00f1a Santo Domingo Dominican Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Mart\u00edn\u2010Landrove","sequence":"additional","affiliation":[{"name":"Centre for Medical Visualization, National Institute for Bioengineering Universidad Central de Venezuela and Centro de Diagn\u00f3stico Docente Las Mercedes Caracas Venezuela"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,1,19]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2007.06.028"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v20.i12.3125"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.10304"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22253"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00234\u2010008\u20100378\u20106"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.12.8510"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4898202"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2016.2583541"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/nm0797\u2010780"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.02.011"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.7785\/tcrt.2013.600263"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2005.11.005"},{"key":"e_1_2_7_14_1","first-page":"71","article-title":"Use of dynamic contrast enhanced time intensity curve shape analysis in MRI: theory and practice","volume":"6","author":"Lavini C","year":"2013","journal-title":"Rep Med Imag"},{"key":"e_1_2_7_15_1","doi-asserted-by":"crossref","unstructured":"LenkinskiRE.The role of magnetic resonance imaging in prostate cancer imaging and staging. 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