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Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients

OBJECTIVES: PSMA PET/MRI showed the potential to increase the sensitivity for extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability for EPD is still high. Therefore, we aimed to assess whether quantitative PSMA and mpMRI imaging parameters could yield a more robust...

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Autores principales: Laudicella, Riccardo, Skawran, Stephan, Ferraro, Daniela A., Mühlematter, Urs J., Maurer, Alexander, Grünig, Hannes, Rüschoff, Hendrik J., Rupp, Niels, Donati, Olivio, Eberli, Daniel, Burger, Irene A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012878/
https://www.ncbi.nlm.nih.gov/pubmed/35426518
http://dx.doi.org/10.1186/s13244-022-01217-4
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author Laudicella, Riccardo
Skawran, Stephan
Ferraro, Daniela A.
Mühlematter, Urs J.
Maurer, Alexander
Grünig, Hannes
Rüschoff, Hendrik J.
Rupp, Niels
Donati, Olivio
Eberli, Daniel
Burger, Irene A.
author_facet Laudicella, Riccardo
Skawran, Stephan
Ferraro, Daniela A.
Mühlematter, Urs J.
Maurer, Alexander
Grünig, Hannes
Rüschoff, Hendrik J.
Rupp, Niels
Donati, Olivio
Eberli, Daniel
Burger, Irene A.
author_sort Laudicella, Riccardo
collection PubMed
description OBJECTIVES: PSMA PET/MRI showed the potential to increase the sensitivity for extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability for EPD is still high. Therefore, we aimed to assess whether quantitative PSMA and mpMRI imaging parameters could yield a more robust EPD prediction. METHODS: We retrospectively evaluated PCa patients who underwent staging mpMRI and [(68)Ga]PSMA-PET, followed by radical prostatectomy at our institution between 01.02.2016 and 31.07.2019. Fifty-eight cases with PET/MRI and 15 cases with PET/CT were identified. EPD was determined on histopathology and correlated with quantitative PSMA and mpMRI parameters assessed by two readers: ADC (mm(2)/1000 s), longest capsular contact (LCC, mm), tumor volume (cm(3)), PSMA-SUV(max) and volume-based parameters using a fixed threshold at SUV > 4 to delineate PSMA(total) (g/ml) and PSMA(vol) (cm(3)). The t test was used to compare means, Pearson’s test for categorical correlation, and ROC curve to determine the best cutoff. Interclass correlation (ICC) was performed for interreader agreement (95% CI). RESULTS: Seventy-three patients were included (64.5 ± 6.0 years; PSA 14.4 ± 17.1 ng/ml), and 31 had EPD (42.5%). From mpMRI, only LCC reached significance (p = 0.005), while both volume-based PET parameters PSMA(total) and PSMA(vol) were significantly associated with EPD (p = 0.008 and p = 0.004, respectively). On ROC analysis, LCC, PSMA(total), and PSMA(vol) reached an AUC of 0.712 (p = 0.002), 0.709 (p = 0.002), and 0.718 (p = 0.002), respectively. ICC was moderate–good for LCC 0.727 (0.565–0.828) and excellent for PSMA(total) and PSMA(vol) with 0.944 (0.990–0.996) and 0.985 (0.976–0.991), respectively. CONCLUSIONS: Quantitative PSMA parameters have a similar potential as mpMRI LCC to predict EPD of PCa, with a significantly higher interreader agreement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-022-01217-4.
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spelling pubmed-90128782022-05-02 Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients Laudicella, Riccardo Skawran, Stephan Ferraro, Daniela A. Mühlematter, Urs J. Maurer, Alexander Grünig, Hannes Rüschoff, Hendrik J. Rupp, Niels Donati, Olivio Eberli, Daniel Burger, Irene A. Insights Imaging Original Article OBJECTIVES: PSMA PET/MRI showed the potential to increase the sensitivity for extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability for EPD is still high. Therefore, we aimed to assess whether quantitative PSMA and mpMRI imaging parameters could yield a more robust EPD prediction. METHODS: We retrospectively evaluated PCa patients who underwent staging mpMRI and [(68)Ga]PSMA-PET, followed by radical prostatectomy at our institution between 01.02.2016 and 31.07.2019. Fifty-eight cases with PET/MRI and 15 cases with PET/CT were identified. EPD was determined on histopathology and correlated with quantitative PSMA and mpMRI parameters assessed by two readers: ADC (mm(2)/1000 s), longest capsular contact (LCC, mm), tumor volume (cm(3)), PSMA-SUV(max) and volume-based parameters using a fixed threshold at SUV > 4 to delineate PSMA(total) (g/ml) and PSMA(vol) (cm(3)). The t test was used to compare means, Pearson’s test for categorical correlation, and ROC curve to determine the best cutoff. Interclass correlation (ICC) was performed for interreader agreement (95% CI). RESULTS: Seventy-three patients were included (64.5 ± 6.0 years; PSA 14.4 ± 17.1 ng/ml), and 31 had EPD (42.5%). From mpMRI, only LCC reached significance (p = 0.005), while both volume-based PET parameters PSMA(total) and PSMA(vol) were significantly associated with EPD (p = 0.008 and p = 0.004, respectively). On ROC analysis, LCC, PSMA(total), and PSMA(vol) reached an AUC of 0.712 (p = 0.002), 0.709 (p = 0.002), and 0.718 (p = 0.002), respectively. ICC was moderate–good for LCC 0.727 (0.565–0.828) and excellent for PSMA(total) and PSMA(vol) with 0.944 (0.990–0.996) and 0.985 (0.976–0.991), respectively. CONCLUSIONS: Quantitative PSMA parameters have a similar potential as mpMRI LCC to predict EPD of PCa, with a significantly higher interreader agreement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-022-01217-4. Springer Vienna 2022-04-15 /pmc/articles/PMC9012878/ /pubmed/35426518 http://dx.doi.org/10.1186/s13244-022-01217-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
Laudicella, Riccardo
Skawran, Stephan
Ferraro, Daniela A.
Mühlematter, Urs J.
Maurer, Alexander
Grünig, Hannes
Rüschoff, Hendrik J.
Rupp, Niels
Donati, Olivio
Eberli, Daniel
Burger, Irene A.
Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
title Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
title_full Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
title_fullStr Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
title_full_unstemmed Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
title_short Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
title_sort quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012878/
https://www.ncbi.nlm.nih.gov/pubmed/35426518
http://dx.doi.org/10.1186/s13244-022-01217-4
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