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This study aimed to identify the optimal temporal resolution and measurement length for differentiating peripheral-zone prostate cancer from normal tissue using a non-parametric MRI analysis, benchmarked against a quantitative parametric approach. Analysis included 54 patients and 97 tissue specimens with discrimination assessed via cross-validated C-statistics.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/optimal-length-and-temporal-resolution-of-dynamic-contrast-enhanced-mr-imaging-for-the-differentiation-between-prostate-cancer-and-normal-peripheral-zone-tissue/376927/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/optimal-length-and-temporal-resolution-of-dynamic-contrast-enhanced-mr-imaging-for-the-differentiation-between-prostate-cancer-and-normal-peripheral-zone-tissue/376927.png","ImageObject",300,407,{"name":92,"@type":93},"Jake","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-24",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the main objective of the study?","Question",{"text":112,"@type":113},"To determine the optimal temporal resolution and measurement length for DCE-MRI to differentiate prostate cancer from normal peripheral zone tissue, comparing a non-parametric approach with a quantitative analysis.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was discrimination performance evaluated?",{"text":117,"@type":113},"Discriminatory power was estimated using C-statistics based on cross validation.",{"name":119,"@type":110,"acceptedAnswer":120},"What key findings were reported for prostate cancer versus normal tissue?",{"text":121,"@type":113},"Median relative signal intensity and wash-in slope were higher in cancer tissue, peak enhancement was higher, while wash-out and wash-out slope were lower; onset time was comparable.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},376927,1790740311,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":41},962084928904,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","PLOS ONE  \nOPEN ACCESS  \nCitation: Hellstern M, Martinez C, Wallenhorst C, Beyersdorff D, Lu¨demann L, Grimm M-O, et al.(2023) Optimal length and temporal resolution of dynamic contrast-enhanced MR imaging for the differentiation between prostate cancer and normal peripheral zone tissue. PLoS ONE 18(6):  \ne0287651 . [https://doi.org/10.1371/journal](https://doi.org/10.1371/journal). pone.0287651  \nEditor: Lorenzo Faggioni, University of Pisa, ITALY  \nReceived: November 24, 2022  \nAccepted: June 12, 2023  \nPublished: June 23, 2023  \nPeer Review History: PLOS recognizes the benefits of transparency in the peer review process; therefore, we enable the publication of all of the content of peer review and author responses alongside final, published articles. The editorial history of this article is available here:  \n[https://doi.org/10.1371/journal.pone.0287651](https://doi.org/10.1371/journal.pone.0287651)  \n[Copyright:](Copyright:) © [2023](2023) Hellstern et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.  \nData Availability Statement: All relevant data are within the paper and its Supporting Information files.  \nRESEARCH ARTICLE  \nOptimal length and temporal resolution of dynamic contrast-enhanced MR imaging for the differentiation between prostate cancer and normal peripheral zone tissue  \nMarius Hellstern1 *, Carlos Martinez2, Christopher Wallenhorst2, Dirk Beyersdorff3, Lutz Lu¨demann4, Marc-Oliver Grimm5, Ulf Teichgr¨aber6, Tobias Franiel6  \n1 Bu¨rgerhospital und Clementin Kinderhospital gGmbH, Frankfurt am Main, Germany, 2 Institute for Epidemiology, Statistics and Informatics GmbH, Frankfurt am Main, Germany, 3 Department of Diagnostic and Interventional Radiology, University Hospital Hamburg Eppendorf, Hamburg, Germany, 4 Department of Medical Physics, Essen University Hospital, Essen, Germany, 5 Klinik und Poliklinik fu¨r Urologie Universita¨tsklinikum Jena, Jena, Germany, 6 Institut fu¨r Diagnostische und Interventionelle Radiologie, Universit¨atsklinikum Jena, Jena, Germany  \n* [m.hellstern@buergerhospital-ffm.de](m.hellstern@buergerhospital-ffm.de)  \nAbstract  \nThe value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in the detection of prostate cancer is controversial. There are currently insufficient peer reviewed published data or expert consensus to support routine adoption of DCE-MRI for clinical use. Thus, the objective of this study was to explore the optimal temporal resolution and measurement length for DCE-MRI to differentiate cancerous from normal prostate tissue of the peripheral zone of the prostate by non-parametric MRI analysis and to compare with a quantitative MRI analysis. Predictors of interest were onset time, relative signal intensity (RSI), wash-in slope, peak enhancement , wash-out and wash-out slope determined from nonparametric characterisation of DCE-MRI intensity-time profiles. The discriminatory power was estimated from C-statistics based on cross validation. We analyzed 54 patients with 97 prostate tissue specimens (47 prostate cancer, 50 normal prostate tissue) of the peripheral zone, mean age 63.8 years, mean prostate-specific antigen 18.9 ng/mL and mean of 10.5 days between MRI and total prostatectomy. When comparing prostate cancer tissue with normal prostate tissue, median RSI was 422% vs 330%, and wash-in slope 0.870 vs 0.539. The peak enhancement of 67 vs 42 was higher with prostate cancer tissue, while wash-out (-30% vs-23%) and wash-out slope (-0 .037 vs-0 .029) were lower, and the onset time (32 seconds) was comparable. The optimal C-statistics was 0.743 for temporal resolution of 8.0 seconds and measurement length of 2.5 minutes compared with 0.656 derived from a quantitative MRI analysis. This study provides evidence that the use of a non-parametric approach instead of ","cbCaiaLdy3ojlPKe","https://ap.wps.com/l/cbCaiaLdy3ojlPKe","pdf",953700,12,"English","# Abstract\n# Introduction","[{\"question\":\"What was the main objective of the study?\",\"answer\":\"To determine the optimal temporal resolution and measurement length for DCE-MRI to differentiate prostate cancer from normal peripheral zone tissue, comparing a non-parametric approach with a quantitative analysis.\"},{\"question\":\"How was discrimination performance evaluated?\",\"answer\":\"Discriminatory power was estimated using C-statistics based on cross validation.\"},{\"question\":\"What key findings were reported for prostate cancer versus normal tissue?\",\"answer\":\"Median relative signal intensity and wash-in slope were higher in cancer tissue, peak enhancement was higher, while wash-out and wash-out slope were lower; onset time was comparable.\"}]","Optimal length and temporal resolution of dynamic contrast-enhanced MR imaging for the differentiation between prostate cancer and normal peripheral zone tissue | PDF",1790222131]