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The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) are widely used for the management of prostate cancer (PCa). However, how these modalities complement each other in PCa risk stratification is still largely unknown. We aim to provide insights into...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636013/ https://www.ncbi.nlm.nih.gov/pubmed/37945817 http://dx.doi.org/10.1038/s43856-023-00394-7 |
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author | Nilsson, Erik Sandgren, Kristina Grefve, Josefine Jonsson, Joakim Axelsson, Jan Lindberg, Angsana Keeratijarut Söderkvist, Karin Karlsson, Camilla Thellenberg Widmark, Anders Blomqvist, Lennart Strandberg, Sara Riklund, Katrine Bergh, Anders Nyholm, Tufve |
author_facet | Nilsson, Erik Sandgren, Kristina Grefve, Josefine Jonsson, Joakim Axelsson, Jan Lindberg, Angsana Keeratijarut Söderkvist, Karin Karlsson, Camilla Thellenberg Widmark, Anders Blomqvist, Lennart Strandberg, Sara Riklund, Katrine Bergh, Anders Nyholm, Tufve |
author_sort | Nilsson, Erik |
collection | PubMed |
description | BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) are widely used for the management of prostate cancer (PCa). However, how these modalities complement each other in PCa risk stratification is still largely unknown. We aim to provide insights into the potential of mpMRI and PET for PCa risk stratification. METHODS: We analyzed data from 55 consecutive patients with elevated prostate-specific antigen and biopsy-proven PCa enrolled in a prospective study between December 2016 and December 2019. [(68)Ga]PSMA-11 PET (PSMA-PET), [(11)C]Acetate PET (Acetate-PET) and mpMRI were co-registered with whole-mount histopathology. Lower- and higher-grade lesions were defined by International Society of Urological Pathology (ISUP) grade groups (IGG). We used PET and mpMRI data to differentiate between grades in two cases: IGG 3 vs. IGG 2 (case 1) and IGG ≥ 3 vs. IGG ≤ 2 (case 2). The performance was evaluated by receiver operating characteristic (ROC) analysis. RESULTS: We find that the maximum standardized uptake value (SUV(max)) for PSMA-PET achieves the highest area under the ROC curve (AUC), with AUCs of 0.72 (case 1) and 0.79 (case 2). Combining the volume transfer constant, apparent diffusion coefficient and T2-weighted images (each normalized to non-malignant prostatic tissue) results in AUCs of 0.70 (case 1) and 0.70 (case 2). Adding PSMA-SUV(max) increases the AUCs by 0.09 (p < 0.01) and 0.12 (p < 0.01), respectively. CONCLUSIONS: By co-registering whole-mount histopathology and in-vivo imaging we show that mpMRI and PET can distinguish between lower- and higher-grade prostate cancer, using partially discriminative cut-off values. |
format | Online Article Text |
id | pubmed-10636013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106360132023-11-11 The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography Nilsson, Erik Sandgren, Kristina Grefve, Josefine Jonsson, Joakim Axelsson, Jan Lindberg, Angsana Keeratijarut Söderkvist, Karin Karlsson, Camilla Thellenberg Widmark, Anders Blomqvist, Lennart Strandberg, Sara Riklund, Katrine Bergh, Anders Nyholm, Tufve Commun Med (Lond) Article BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) are widely used for the management of prostate cancer (PCa). However, how these modalities complement each other in PCa risk stratification is still largely unknown. We aim to provide insights into the potential of mpMRI and PET for PCa risk stratification. METHODS: We analyzed data from 55 consecutive patients with elevated prostate-specific antigen and biopsy-proven PCa enrolled in a prospective study between December 2016 and December 2019. [(68)Ga]PSMA-11 PET (PSMA-PET), [(11)C]Acetate PET (Acetate-PET) and mpMRI were co-registered with whole-mount histopathology. Lower- and higher-grade lesions were defined by International Society of Urological Pathology (ISUP) grade groups (IGG). We used PET and mpMRI data to differentiate between grades in two cases: IGG 3 vs. IGG 2 (case 1) and IGG ≥ 3 vs. IGG ≤ 2 (case 2). The performance was evaluated by receiver operating characteristic (ROC) analysis. RESULTS: We find that the maximum standardized uptake value (SUV(max)) for PSMA-PET achieves the highest area under the ROC curve (AUC), with AUCs of 0.72 (case 1) and 0.79 (case 2). Combining the volume transfer constant, apparent diffusion coefficient and T2-weighted images (each normalized to non-malignant prostatic tissue) results in AUCs of 0.70 (case 1) and 0.70 (case 2). Adding PSMA-SUV(max) increases the AUCs by 0.09 (p < 0.01) and 0.12 (p < 0.01), respectively. CONCLUSIONS: By co-registering whole-mount histopathology and in-vivo imaging we show that mpMRI and PET can distinguish between lower- and higher-grade prostate cancer, using partially discriminative cut-off values. Nature Publishing Group UK 2023-11-09 /pmc/articles/PMC10636013/ /pubmed/37945817 http://dx.doi.org/10.1038/s43856-023-00394-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Nilsson, Erik Sandgren, Kristina Grefve, Josefine Jonsson, Joakim Axelsson, Jan Lindberg, Angsana Keeratijarut Söderkvist, Karin Karlsson, Camilla Thellenberg Widmark, Anders Blomqvist, Lennart Strandberg, Sara Riklund, Katrine Bergh, Anders Nyholm, Tufve The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
title | The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
title_full | The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
title_fullStr | The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
title_full_unstemmed | The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
title_short | The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
title_sort | grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636013/ https://www.ncbi.nlm.nih.gov/pubmed/37945817 http://dx.doi.org/10.1038/s43856-023-00394-7 |
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