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Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction

Background: To study the impact of MRI characteristics and of targeted biopsy (TB) core number on the final grade group (GG) prediction. Materials and Methods: The cohort was 478 consecutive patients who underwent radical prostatectomy (RP) after positive mpMRI (multiparametric magnetic resonance im...

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Autores principales: Ploussard, Guillaume, Beauval, Jean-Baptiste, Renard-Penna, Raphaële, Lesourd, Marine, Manceau, Cécile, Almeras, Christophe, Gautier, Jean-Romain, Loison, Guillaume, Portalez, Daniel, Salin, Ambroise, Soulié, Michel, Tollon, Christophe, Malavaud, Bernard, Roumiguié, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019328/
https://www.ncbi.nlm.nih.gov/pubmed/31952120
http://dx.doi.org/10.3390/jcm9010225
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author Ploussard, Guillaume
Beauval, Jean-Baptiste
Renard-Penna, Raphaële
Lesourd, Marine
Manceau, Cécile
Almeras, Christophe
Gautier, Jean-Romain
Loison, Guillaume
Portalez, Daniel
Salin, Ambroise
Soulié, Michel
Tollon, Christophe
Malavaud, Bernard
Roumiguié, Mathieu
author_facet Ploussard, Guillaume
Beauval, Jean-Baptiste
Renard-Penna, Raphaële
Lesourd, Marine
Manceau, Cécile
Almeras, Christophe
Gautier, Jean-Romain
Loison, Guillaume
Portalez, Daniel
Salin, Ambroise
Soulié, Michel
Tollon, Christophe
Malavaud, Bernard
Roumiguié, Mathieu
author_sort Ploussard, Guillaume
collection PubMed
description Background: To study the impact of MRI characteristics and of targeted biopsy (TB) core number on the final grade group (GG) prediction. Materials and Methods: The cohort was 478 consecutive patients who underwent radical prostatectomy (RP) after positive mpMRI (multiparametric magnetic resonance imaging) followed by fusion TB. Endpoints were the upgrading and concordance rates between TB and RP specimens. Results: Upgrading rate after TB was 40.6%. Patients with upgrading had lower PIRADS (Prostate Imaging-Reporting and Data System) scores (p < 0.001), smaller lesion size (p = 0.017), fewer TB cores (p < 0.001), and lower TB density (p = 0.015) compared with cases with grade concordance. There was a significant continuous improvement in upgrading rate when TB core number per lesion increased from 56.3% to 25.6% when <2 or ≥5 TB cores were taken, respectively (p = 0.002). The minimal TB number per lesion to reduce upgrading risk to approximately 30%was 4 in PIRADS 3, and 3 in PIRADS 4–5 cases. Conclusions: Grade group prediction by TB is significantly improved by higher PIRADS score, larger lesion size, and increased TB per lesion. At least four TB cores should be taken in PIRADS 3 score lesions, whereas three cores seem enough in PIRADS 4–5 cases to improve GG prediction and limit upgrading risk.
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spelling pubmed-70193282020-03-09 Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction Ploussard, Guillaume Beauval, Jean-Baptiste Renard-Penna, Raphaële Lesourd, Marine Manceau, Cécile Almeras, Christophe Gautier, Jean-Romain Loison, Guillaume Portalez, Daniel Salin, Ambroise Soulié, Michel Tollon, Christophe Malavaud, Bernard Roumiguié, Mathieu J Clin Med Article Background: To study the impact of MRI characteristics and of targeted biopsy (TB) core number on the final grade group (GG) prediction. Materials and Methods: The cohort was 478 consecutive patients who underwent radical prostatectomy (RP) after positive mpMRI (multiparametric magnetic resonance imaging) followed by fusion TB. Endpoints were the upgrading and concordance rates between TB and RP specimens. Results: Upgrading rate after TB was 40.6%. Patients with upgrading had lower PIRADS (Prostate Imaging-Reporting and Data System) scores (p < 0.001), smaller lesion size (p = 0.017), fewer TB cores (p < 0.001), and lower TB density (p = 0.015) compared with cases with grade concordance. There was a significant continuous improvement in upgrading rate when TB core number per lesion increased from 56.3% to 25.6% when <2 or ≥5 TB cores were taken, respectively (p = 0.002). The minimal TB number per lesion to reduce upgrading risk to approximately 30%was 4 in PIRADS 3, and 3 in PIRADS 4–5 cases. Conclusions: Grade group prediction by TB is significantly improved by higher PIRADS score, larger lesion size, and increased TB per lesion. At least four TB cores should be taken in PIRADS 3 score lesions, whereas three cores seem enough in PIRADS 4–5 cases to improve GG prediction and limit upgrading risk. MDPI 2020-01-15 /pmc/articles/PMC7019328/ /pubmed/31952120 http://dx.doi.org/10.3390/jcm9010225 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ploussard, Guillaume
Beauval, Jean-Baptiste
Renard-Penna, Raphaële
Lesourd, Marine
Manceau, Cécile
Almeras, Christophe
Gautier, Jean-Romain
Loison, Guillaume
Portalez, Daniel
Salin, Ambroise
Soulié, Michel
Tollon, Christophe
Malavaud, Bernard
Roumiguié, Mathieu
Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction
title Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction
title_full Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction
title_fullStr Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction
title_full_unstemmed Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction
title_short Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction
title_sort assessment of the minimal targeted biopsy core number per mri lesion for improving prostate cancer grading prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019328/
https://www.ncbi.nlm.nih.gov/pubmed/31952120
http://dx.doi.org/10.3390/jcm9010225
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