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Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer
Aim In this prospective study, we evaluate the role of multiparametric magnetic resonance imaging (mp-MRI) in the assessment of clinically significant prostate cancer at 1.5 T without endorectal coil (ERC). Materials and Methods Forty-five men with clinical suspicion of prostate cancer (prostate-s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Private Ltd.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299509/ https://www.ncbi.nlm.nih.gov/pubmed/34316113 http://dx.doi.org/10.1055/s-0041-1730093 |
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author | Ingole, Sarang M. Mehta, Rajeev U. Kazi, Zubair N. Bhuyar, Rutuja V. |
author_facet | Ingole, Sarang M. Mehta, Rajeev U. Kazi, Zubair N. Bhuyar, Rutuja V. |
author_sort | Ingole, Sarang M. |
collection | PubMed |
description | Aim In this prospective study, we evaluate the role of multiparametric magnetic resonance imaging (mp-MRI) in the assessment of clinically significant prostate cancer at 1.5 T without endorectal coil (ERC). Materials and Methods Forty-five men with clinical suspicion of prostate cancer (prostate-specific antigen [PSA] level > 4 ng/mL, hard prostate on digital rectal examination, and suspicious area at transrectal ultrasound [TRUS]) were evaluated using the mp-MRI protocol over a period of 24 months. All cases were interpreted using the Prostate Imaging Reporting and Data System (PI-RADS) version 2 guidelines and correlated with histopathology. Statistical Analysis Used A chi-squared test was used for analysis of nominal/categorical variables and receiver operating characteristic (ROC) curve and one-way analysis of variance (ANOVA) test for continuous variables. Results The mean age was 67 years and the mean PSA was 38.2 ng/mL. Eighty percent had prostate cancer and 20% were benign (11% benign prostatic hyperplasia [BPH] and 9% chronic prostatitis). Eighty-six percent of all malignancies were in the peripheral zone. The PI-RADS score for T2-weighted (T2W) imaging showed good sensitivity (81%) but low specificity (67%). The PI-RADS score for diffusion weighted imaging (DWI) with sensitivity of 92% and specificity of 78% had a better accuracy overall than T2W imaging alone. The mean apparent diffusion coefficient (ADC) value (×10 (–6) mm (2) /s) was 732 ± 160 in prostate cancer, 1,009 ± 161 in chronic prostatitis, 1,142 ± 82 in BPH, and 663 in a single case of granulomatous prostatitis. Low ADC values (<936) have shown good correlation (area under curve [AUC]: 0.87) with the presence of cancer foci. Inverse correlation was observed between Gleason scores and ADC values. Dynamic contrast-enhanced (DCE) imaging has shown 100% sensitivity/negative predictive value (NPV), but moderate specificity (67%) in predicting malignancy. The final PI-RADS score had 100% sensitivity and NPV with good overall positive predictive value (PPV) of 95%. Conclusions T2W imaging and DWI remain the mainstays in diagnosis of prostate cancer with mp-MRI. DCE-MRI can be a problem-solving tool in case of equivocal findings. Because assessment with mp-MRI can be subjective, use of the newly developed PI-RADS version 2 scoring system is helpful in accurate interpretation. |
format | Online Article Text |
id | pubmed-8299509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Thieme Medical and Scientific Publishers Private Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82995092021-07-26 Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer Ingole, Sarang M. Mehta, Rajeev U. Kazi, Zubair N. Bhuyar, Rutuja V. Indian J Radiol Imaging Aim In this prospective study, we evaluate the role of multiparametric magnetic resonance imaging (mp-MRI) in the assessment of clinically significant prostate cancer at 1.5 T without endorectal coil (ERC). Materials and Methods Forty-five men with clinical suspicion of prostate cancer (prostate-specific antigen [PSA] level > 4 ng/mL, hard prostate on digital rectal examination, and suspicious area at transrectal ultrasound [TRUS]) were evaluated using the mp-MRI protocol over a period of 24 months. All cases were interpreted using the Prostate Imaging Reporting and Data System (PI-RADS) version 2 guidelines and correlated with histopathology. Statistical Analysis Used A chi-squared test was used for analysis of nominal/categorical variables and receiver operating characteristic (ROC) curve and one-way analysis of variance (ANOVA) test for continuous variables. Results The mean age was 67 years and the mean PSA was 38.2 ng/mL. Eighty percent had prostate cancer and 20% were benign (11% benign prostatic hyperplasia [BPH] and 9% chronic prostatitis). Eighty-six percent of all malignancies were in the peripheral zone. The PI-RADS score for T2-weighted (T2W) imaging showed good sensitivity (81%) but low specificity (67%). The PI-RADS score for diffusion weighted imaging (DWI) with sensitivity of 92% and specificity of 78% had a better accuracy overall than T2W imaging alone. The mean apparent diffusion coefficient (ADC) value (×10 (–6) mm (2) /s) was 732 ± 160 in prostate cancer, 1,009 ± 161 in chronic prostatitis, 1,142 ± 82 in BPH, and 663 in a single case of granulomatous prostatitis. Low ADC values (<936) have shown good correlation (area under curve [AUC]: 0.87) with the presence of cancer foci. Inverse correlation was observed between Gleason scores and ADC values. Dynamic contrast-enhanced (DCE) imaging has shown 100% sensitivity/negative predictive value (NPV), but moderate specificity (67%) in predicting malignancy. The final PI-RADS score had 100% sensitivity and NPV with good overall positive predictive value (PPV) of 95%. Conclusions T2W imaging and DWI remain the mainstays in diagnosis of prostate cancer with mp-MRI. DCE-MRI can be a problem-solving tool in case of equivocal findings. Because assessment with mp-MRI can be subjective, use of the newly developed PI-RADS version 2 scoring system is helpful in accurate interpretation. Thieme Medical and Scientific Publishers Private Ltd. 2021-01 2021-05-23 /pmc/articles/PMC8299509/ /pubmed/34316113 http://dx.doi.org/10.1055/s-0041-1730093 Text en Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/). https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Ingole, Sarang M. Mehta, Rajeev U. Kazi, Zubair N. Bhuyar, Rutuja V. Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer |
title | Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer |
title_full | Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer |
title_fullStr | Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer |
title_full_unstemmed | Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer |
title_short | Multiparametric Magnetic Resonance Imaging in Evaluation of Clinically Significant Prostate Cancer |
title_sort | multiparametric magnetic resonance imaging in evaluation of clinically significant prostate cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299509/ https://www.ncbi.nlm.nih.gov/pubmed/34316113 http://dx.doi.org/10.1055/s-0041-1730093 |
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