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Med. Biol."],"published-print":{"date-parts":[[2024,3,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . To assist urologist and radiologist in the preoperative diagnosis of non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC), we proposed a combination models strategy (CMS) utilizing multiparametric magnetic resonance imaging.\n                    <jats:italic>Approach<\/jats:italic>\n                    . The CMS includes three components: image registration, image segmentation, and multisequence feature fusion. To ensure spatial structure consistency of T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced imaging (DCE), a registration network based on patch sampling normalized mutual information was proposed to register DWI and DCE to T2WI. Moreover, to remove redundant information around the bladder, we employed a segmentation network to obtain the bladder and tumor regions from T2WI. Using the coordinate mapping from T2WI, we extracted these regions from DWI and DCE and integrated them into a three-branch dual-channel input. Finally, to fully fuse low-level and high-level features of T2WI, DWI, and DCE, we proposed a distributed multilayer fusion model for preoperative MIBC prediction with five-fold cross-validation.\n                    <jats:italic>Main results<\/jats:italic>\n                    . The study included 436 patients, of which 404 were for the internal cohort and 32 for external cohort. The MIBC was confirmed by pathological examination. In the internal cohort, the area under the curve, accuracy, sensitivity, and specificity achieved by our method were 0.928, 0.869, 0.753, and 0.929, respectively. For the urologist and radiologist, Vesical Imaging-Reporting and Data System score &gt;3 was employed to determine MIBC. The urologist demonstrated an accuracy, sensitivity, and specificity of 0.842, 0.737, and 0.895, respectively, while the radiologist achieved 0.871, 0.803, and 0.906, respectively. In the external cohort, the accuracy of our method was 0.831, which was higher than that of the urologist (0.781) and the radiologist (0.813).\n                    <jats:italic>Significance<\/jats:italic>\n                    . Our proposed method achieved better diagnostic performance than urologist and was comparable to senior radiologist. These results indicate that CMS can effectively assist junior urologists and radiologists in diagnosing preoperative MIBC.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ad25c7","type":"journal-article","created":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T18:05:15Z","timestamp":1706897115000},"page":"055011","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["A novel predict method for muscular invasion of bladder cancer based on 3D mp-MRI feature fusion"],"prefix":"10.1088","volume":"69","author":[{"given":"Jie","family":"Yu","sequence":"first","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingkai","family":"Cai","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital with Nanjing Medical University, Nanjing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunxiao","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Zou","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yueyue","family":"Xiao","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Fu","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Yang","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital with Nanjing Medical University, Nanjing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peikun","family":"Liu","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital with Nanjing Medical University, Nanjing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Lu","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital with Nanjing Medical University, Nanjing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueying","family":"Sun","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital with Nanjing Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Shao","sequence":"additional","affiliation":[{"name":"the Affiliated Suzhou Hospital of Nanjing Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,2,22]]},"reference":[{"key":"pmbad25c7bib1","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1007\/s00330-020-07153-5","type":"journal-article","article-title":"Clinical utility of the vesical imaging-reporting and data system for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acquisitions","volume":"31","author":"Arita","year":"2021","journal-title":"Eur. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2023-07-25","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-02-01","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-02-22","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}