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AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population
OBJECTIVE: To investigate the effectiveness of magnetic resonance imaging (MRI) in diagnosing prostate cancer (PCa) and high-grade prostate cancer (HGPCa) before transrectal ultrasound (TRUS)-guided biopsy. METHODS: The clinical data of 894 patients who received TRUS-guided biopsy and prior MRI test...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4842614/ http://dx.doi.org/10.21037/tau.2016.s190 |
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author | Fang, Dong Ren, Da Yu, Wei Li, Xuesong Yin, Wenshi Yu, Xiaoteng Yang, Kunlin Liu, Pei Shan, Gangzhi Li, Shuqing He, Qun Xin, Zhongcheng Zhou, Liqun Zhao, Chenglin Wang, Rui Wang, Xiaoying Wang, Huihui |
author_facet | Fang, Dong Ren, Da Yu, Wei Li, Xuesong Yin, Wenshi Yu, Xiaoteng Yang, Kunlin Liu, Pei Shan, Gangzhi Li, Shuqing He, Qun Xin, Zhongcheng Zhou, Liqun Zhao, Chenglin Wang, Rui Wang, Xiaoying Wang, Huihui |
author_sort | Fang, Dong |
collection | PubMed |
description | OBJECTIVE: To investigate the effectiveness of magnetic resonance imaging (MRI) in diagnosing prostate cancer (PCa) and high-grade prostate cancer (HGPCa) before transrectal ultrasound (TRUS)-guided biopsy. METHODS: The clinical data of 894 patients who received TRUS-guided biopsy and prior MRI test from a large Chinese center was reviewed. All MRIs were re-reviewed and assigned as Grade 0-2 (negative; suspicious; positive) based on Prostate Imaging Reporting and Data System (PI-RADS) scoring. We constructed two models both in predicting PCa and HGPCa: Model 1 with MRI and Model 2 without MRI. Other clinical factors include age, digital rectal examination, PSA, free-PSA, volume and TRUS. RESULTS: PCa and HGPCa were present in 434 (48.5%) and 218 (24.4%) patients each. An MRI Grade 0, 1 and 2 were assigned in 324 (36.2%), 193 (21.6%) and 377 (42.2%) patients, respectively, which was associated with the presence of PCa (P<0.001) and HGPCa (P<0.001). Particularly in patients with age ≤0.001). Particularly in patients with age and 218 (24.4%) patients each. An MRI Grade 0, 1 and 2 were assc-statistic of Model 1 and Model 2 for predicting PCa was 0.875 and 0.841 each (Z=4.2302, P<0.001), while for predicting HGPCa was 0.872 and 0.850 (Z=3.265, P=0.001). Model 1 exhibited higher sensitivity and specificity at same cut-offs and decision curve analysis also suggested the favorable clinical utility of Model 1. CONCLUSIONS: Prostate MRI before biopsy could well predict the presence of PCa and HGPCa, especially in younger patients. The incorporation of MRI in nomograms could increase predictive accuracy. |
format | Online Article Text |
id | pubmed-4842614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-48426142016-05-09 AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population Fang, Dong Ren, Da Yu, Wei Li, Xuesong Yin, Wenshi Yu, Xiaoteng Yang, Kunlin Liu, Pei Shan, Gangzhi Li, Shuqing He, Qun Xin, Zhongcheng Zhou, Liqun Zhao, Chenglin Wang, Rui Wang, Xiaoying Wang, Huihui Transl Androl Urol Printed Abstracts OBJECTIVE: To investigate the effectiveness of magnetic resonance imaging (MRI) in diagnosing prostate cancer (PCa) and high-grade prostate cancer (HGPCa) before transrectal ultrasound (TRUS)-guided biopsy. METHODS: The clinical data of 894 patients who received TRUS-guided biopsy and prior MRI test from a large Chinese center was reviewed. All MRIs were re-reviewed and assigned as Grade 0-2 (negative; suspicious; positive) based on Prostate Imaging Reporting and Data System (PI-RADS) scoring. We constructed two models both in predicting PCa and HGPCa: Model 1 with MRI and Model 2 without MRI. Other clinical factors include age, digital rectal examination, PSA, free-PSA, volume and TRUS. RESULTS: PCa and HGPCa were present in 434 (48.5%) and 218 (24.4%) patients each. An MRI Grade 0, 1 and 2 were assigned in 324 (36.2%), 193 (21.6%) and 377 (42.2%) patients, respectively, which was associated with the presence of PCa (P<0.001) and HGPCa (P<0.001). Particularly in patients with age ≤0.001). Particularly in patients with age and 218 (24.4%) patients each. An MRI Grade 0, 1 and 2 were assc-statistic of Model 1 and Model 2 for predicting PCa was 0.875 and 0.841 each (Z=4.2302, P<0.001), while for predicting HGPCa was 0.872 and 0.850 (Z=3.265, P=0.001). Model 1 exhibited higher sensitivity and specificity at same cut-offs and decision curve analysis also suggested the favorable clinical utility of Model 1. CONCLUSIONS: Prostate MRI before biopsy could well predict the presence of PCa and HGPCa, especially in younger patients. The incorporation of MRI in nomograms could increase predictive accuracy. AME Publishing Company 2016-04 /pmc/articles/PMC4842614/ http://dx.doi.org/10.21037/tau.2016.s190 Text en 2016 Translational Andrology and Urology. All rights reserved. |
spellingShingle | Printed Abstracts Fang, Dong Ren, Da Yu, Wei Li, Xuesong Yin, Wenshi Yu, Xiaoteng Yang, Kunlin Liu, Pei Shan, Gangzhi Li, Shuqing He, Qun Xin, Zhongcheng Zhou, Liqun Zhao, Chenglin Wang, Rui Wang, Xiaoying Wang, Huihui AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population |
title | AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population |
title_full | AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population |
title_fullStr | AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population |
title_full_unstemmed | AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population |
title_short | AB190. Could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? The development of nomogram predicting the outcomes of prostate biopsy in the Chinese population |
title_sort | ab190. could magnetic resonance imaging help identify the presence of prostate cancer before initial biopsy? the development of nomogram predicting the outcomes of prostate biopsy in the chinese population |
topic | Printed Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4842614/ http://dx.doi.org/10.21037/tau.2016.s190 |
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