Rodríguez Cabello M.A., Méndez Rubio S., Vázquez Alba D., Sanz Miguelanez J.L., Platas Sancho A.
{"title":"P031 分析前列腺癌预测模型中的指数病灶受累区变量:活组织检查前使用 PI-RADS 分类整合 PSA 密度和前列腺 MRI 数据","authors":"Rodríguez Cabello M.A., Méndez Rubio S., Vázquez Alba D., Sanz Miguelanez J.L., Platas Sancho A.","doi":"10.1016/S2666-1683(24)01159-5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":12254,"journal":{"name":"European Urology Open Science","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"P031 Analysis of the index lesion involvement zone variable in predictive models of prostate cancer: Integrating PSA density and prostate MRI data using PI-RADS classification before biopsy\",\"authors\":\"Rodríguez Cabello M.A., Méndez Rubio S., Vázquez Alba D., Sanz Miguelanez J.L., Platas Sancho A.\",\"doi\":\"10.1016/S2666-1683(24)01159-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":12254,\"journal\":{\"name\":\"European Urology Open Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Urology Open Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666168324011595\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Urology Open Science","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666168324011595","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
P031 Analysis of the index lesion involvement zone variable in predictive models of prostate cancer: Integrating PSA density and prostate MRI data using PI-RADS classification before biopsy