{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T13:48:03Z","timestamp":1789048083146,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2016,10,4]],"date-time":"2016-10-04T00:00:00Z","timestamp":1475539200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJU International"],"published-print":{"date-parts":[[2017,7]]},"abstract":"\n Objective<\/jats:title>\n \n To demonstrate the association between magnetic resonance imaging (\n MRI<\/jats:styled-content>\n ) estimated lesion volume (\n LV<\/jats:styled-content>\n ), prostate cancer detection and tumour clinical significance, evaluating this variable alone and matched with Prostate Imaging Reporting and Data System version 2 (\n PI<\/jats:styled-content>\n \u2010\n RADS<\/jats:styled-content>\n v2) score.\n <\/jats:p>\n <\/jats:sec>\n \n Patients and methods<\/jats:title>\n \n We retrospectively analysed 157 consecutive patients, with at least one prior negative systematic prostatic biopsy, who underwent transperineal prostate\n MRI<\/jats:styled-content>\n \/ultrasonography fusion\u2010targeted biopsy between January 2014 and February 2016. Suspicious lesions were delineated using a \u2018region of interest\u2019 and the system calculated prostate volume and\n LV<\/jats:styled-content>\n . Patients were divided in groups considering\n LV<\/jats:styled-content>\n (\u22640.5, 0.5\u20131, \u22651 mL) and\n PI<\/jats:styled-content>\n \u2010\n RADS<\/jats:styled-content>\n score (1\u20135). We considered clinically significant prostate cancer as all cancers with a Gleason score of \u22653 + 4 as suggested by\n PI<\/jats:styled-content>\n \u2010\n RADS<\/jats:styled-content>\n v2. A direct comparison between\n MRI<\/jats:styled-content>\n estimated\n LV<\/jats:styled-content>\n (\n MRI LV<\/jats:styled-content>\n ) and histological tumour volume (\n HTV<\/jats:styled-content>\n ) was done in 23 patients who underwent radical prostatectomy during the study period. Differences between\n MRI LV<\/jats:styled-content>\n and\n HTV<\/jats:styled-content>\n were assessed using the paired sample\n t<\/jats:italic>\n \u2010test.\n MRI LV<\/jats:styled-content>\n and\n HTV<\/jats:styled-content>\n concordance was verified using a Bland\u2013Altman plot. The chi\u2010squared test and logistic and ordinal regression models were used to evaluate difference in frequencies.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The\n MRI LV<\/jats:styled-content>\n and\n PI<\/jats:styled-content>\n \u2010\n RADS<\/jats:styled-content>\n score were associated both with prostate cancer detection (both\n P<\/jats:italic>\n < 0.001) and with significant prostate cancer detection (\n P<\/jats:italic>\n < 0.001 and\n P<\/jats:italic>\n = 0.008, respectively). When the two variables were matched, increasing\n LV<\/jats:styled-content>\n increased the risk within each\n PI<\/jats:styled-content>\n \u2010\n RADS<\/jats:styled-content>\n group. Prostate cancer detection was 1.4\u2010times higher for\n LV<\/jats:styled-content>\n s of 0.5\u20131 mL and 1.8\u2010times higher for\n LV<\/jats:styled-content>\n s of \u22651 mL; significant prostate cancer detection was 2.6\u2010times for\n LV<\/jats:styled-content>\n s of 0.5\u20131 mL and 4\u2010times for\n LV<\/jats:styled-content>\n s of \u22651 mL. There was a positive correlation between\n MRI LV<\/jats:styled-content>\n and\n HTV<\/jats:styled-content>\n (\n r<\/jats:italic>\n = 0.9876,\n P<\/jats:italic>\n < 0.001). Finally, Bland\u2013Altman analysis showed that\n MRI LV<\/jats:styled-content>\n was underestimated by 4.2% compared to\n HTV<\/jats:styled-content>\n . Study limitations include its monocentric and retrospective design and the limited cohort.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n \n This study demonstrates that\n PI<\/jats:styled-content>\n \u2010\n RADS<\/jats:styled-content>\n score and the\n MRI LV<\/jats:styled-content>\n , independently and in combination, are associated with prostate cancer detection and with tumour clinical significance.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/bju.13649","type":"journal-article","created":{"date-parts":[[2016,9,8]],"date-time":"2016-09-08T14:53:55Z","timestamp":1473346435000},"page":"92-103","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":65,"title":["Lesion volume predicts prostate cancer risk and aggressiveness: validation of its value alone and matched with prostate imaging reporting and data system score"],"prefix":"10.1111","volume":"120","author":[{"given":"Eugenio","family":"Martorana","sequence":"first","affiliation":[{"name":"Department of Urology University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giacomo Maria","family":"Pirola","sequence":"additional","affiliation":[{"name":"Department of Urology University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele","family":"Scialpi","sequence":"additional","affiliation":[{"name":"Department of Surgical and Biomedical Sciences Division of Radiology 2 Perugia University Perugia Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salvatore","family":"Micali","sequence":"additional","affiliation":[{"name":"Department of Urology University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Iseppi","sequence":"additional","affiliation":[{"name":"Department of Urology University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca Reggiani","family":"Bonetti","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Medicine and Public Health \u2010Section of Pathology University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaniko","family":"Kaleci","sequence":"additional","affiliation":[{"name":"Department of Medical Statistic University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pietro","family":"Torricelli","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Imaging University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giampaolo","family":"Bianchi","sequence":"additional","affiliation":[{"name":"Department of Urology University of Modena and Reggio Emilia Modena Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2016,10,4]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2015.01.013"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.11091822"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/pcan.2011.9"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1464-410X.2010.09808.x"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2014.10.033"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2015.08.052"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2014.11.037"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2015.08.038"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2016.02.064"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2013.03.030"},{"key":"e_1_2_8_12_1","unstructured":"MatykaM OllilaMA.Pressure model for soft body simulation. 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