{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T04:17:43Z","timestamp":1748405863454,"version":"3.41.0"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"1170","license":[{"start":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T00:00:00Z","timestamp":1747872000000},"content-version":"vor","delay-in-days":64,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"National Consortium of Intelligent Medical Imaging"},{"name":"Industry Strategy Challenge Fund, Innovate UK","award":["104688"],"award-info":[{"award-number":["104688"]}]},{"name":"European Union\u2019s Horizon 2020","award":["719445"],"award-info":[{"award-number":["719445"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Scanner-referenced T1 (srT1) is a method for measuring pancreas T1 relaxation time. The purpose of this multi-centre study is 2-fold: (1) to evaluate the repeatability of manual ROI-based analysis of srT1, (2) to validate a semi-automated measurement method with an automatic quality control (QC) module to identify likely discrepancies between automated and manual measurements.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Pancreatic MRI scans from a scan-rescan cohort (46 subjects) were used to evaluate the repeatability of manual analysis. Seven hundred and eight scans from a longitudinal multi-centre study of 466 subjects were divided into training, internal validation (IV), and external validation (EV) cohorts. A semi-automated method for measuring srT1 using machine learning is proposed and compared against manual analysis on the validation cohorts with and without automated QC.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Inter-operator agreement between manual ROI-based method and semi-automated method had low bias (3.8\u2009ms or 0.5%) and limits of agreement [\u221236.6, 44.1]\u2009ms. There was good agreement between the 2 methods without automated QC (IV: 3.2 [\u221247.1, 53.5]\u2009ms, EV: \u22120.5 [\u221235.2, 34.2]\u2009ms). After QC, agreement on the IV set improved, was unchanged in the EV set, and the agreement in both was within inter-operator bounds (IV: \u22120.04 [\u221233.4, 33.3]\u2009ms, EV: \u22121.9 [\u221237.6, 33.7]\u2009ms). The semi-automated method improved scan-rescan agreement versus manual analysis (manual: 8.2 [\u221249.7, 66]\u2009ms, automated: 6.7 [\u221246.7, 60.1]\u2009ms).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The semi-automated method for characterization of standardized pancreatic T1 using MRI has the potential to decrease analysis time while maintaining accuracy and improving scan-rescan agreement.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>We provide intra-operator, inter-operator, and scan-rescan agreement values for manual measurement of srT1, a standardized biomarker for measuring pancreas fibro-inflammation. Applying a semi-automated measurement method improves scan-rescan agreement and agrees well with manual measurements, while reducing human effort. Adding automated QC can improve agreement between manual and automated measurements.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Summary statement<\/jats:title>\n                  <jats:p>We describe a method for semi-automated, standardized measurement of pancreatic T1 (srT1), which includes automated quality control. Measurements show good agreement with manual ROI-based analysis, with comparable consistency to inter-operator performance.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bjr\/tqaf062","type":"journal-article","created":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T04:14:27Z","timestamp":1742444067000},"page":"965-973","source":"Crossref","is-referenced-by-count":0,"title":["Standardized pancreatic MRI-T1 measurement methods: comparison between manual measurement and a semi-automated pipeline with automatic quality control"],"prefix":"10.1093","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5836-737X","authenticated-orcid":false,"given":"Alexandre","family":"Triay Bagur","sequence":"first","affiliation":[{"name":"Perspectum Ltd , Oxford OX4 2LL,","place":["United Kingdom"]},{"name":"Department of Engineering Science, University of Oxford , Oxford OX1 3PJ,","place":["United 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