Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility
The role of dynamic contrast-enhanced-MRI (DCE-MRI) for Prostate Imaging-Reporting and Data System (PI-RADS) scoring is a controversial topic. In this retrospective study, we aimed to measure the added value of DCE-MRI in combination with T2-weighted (T2W) and diffusion-weighted imaging (DWI) using...
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MDPI AG
2020-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/10/3/164 |
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| author | Valentina Brancato Giuseppe Di Costanzo Luca Basso Liberatore Tramontano Marta Puglia Alfonso Ragozzino Carlo Cavaliere |
| author_facet | Valentina Brancato Giuseppe Di Costanzo Luca Basso Liberatore Tramontano Marta Puglia Alfonso Ragozzino Carlo Cavaliere |
| author_sort | Valentina Brancato |
| collection | DOAJ |
| description | The role of dynamic contrast-enhanced-MRI (DCE-MRI) for Prostate Imaging-Reporting and Data System (PI-RADS) scoring is a controversial topic. In this retrospective study, we aimed to measure the added value of DCE-MRI in combination with T2-weighted (T2W) and diffusion-weighted imaging (DWI) using PI-RADS v2.1, in terms of reproducibility and diagnostic accuracy, for detection of prostate cancer (PCa) and clinically significant PCa (CS-PCa, for Gleason Score ≥ 7). 117 lesions in 111 patients were identified as suspicion by multiparametric MRI (mpMRI) and addressed for biopsy. Three experienced readers independently assessed PI-RADS score, first using biparametric MRI (bpMRI, including DWI and T2W), and then multiparametric MRI (also including DCE). The inter-rater and inter-method agreement (bpMRI- vs. mpMRI-based scores) were assessed by Cohen’s kappa (κ). Receiver operating characteristics (ROC) analysis was performed to evaluate the diagnostic accuracy for PCa and CS-PCa detection among the two scores. Inter-rater agreement was excellent for the three pairs of readers (κ ≥ 0.83), while the inter-method agreement was good (κ ≥ 0.73). Areas under the ROC curve (AUC) showed similar high-values (0.8 ≤ AUC ≤ 0.85). The reproducibility of PI-RADS v2.1 scoring was comparable and high among readers, without relevant differences, depending on the MRI protocol used. The inclusion of DCE did not influence the diagnostic accuracy. |
| first_indexed | 2024-04-11T20:47:16Z |
| format | Article |
| id | doaj.art-9ed2e7299018496898627a3ece3e18fe |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-04-11T20:47:16Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-9ed2e7299018496898627a3ece3e18fe2022-12-22T04:03:59ZengMDPI AGDiagnostics2075-44182020-03-0110316410.3390/diagnostics10030164diagnostics10030164Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and ReproducibilityValentina Brancato0Giuseppe Di Costanzo1Luca Basso2Liberatore Tramontano3Marta Puglia4Alfonso Ragozzino5Carlo Cavaliere6IRCCS SDN, 80143 Napoli, ItalyOspedale S. Maria delle Grazie, 80078 Pozzuoli, ItalyIRCCS SDN, 80143 Napoli, ItalyIRCCS SDN, 80143 Napoli, ItalyOspedale S. Maria delle Grazie, 80078 Pozzuoli, ItalyOspedale S. Maria delle Grazie, 80078 Pozzuoli, ItalyIRCCS SDN, 80143 Napoli, ItalyThe role of dynamic contrast-enhanced-MRI (DCE-MRI) for Prostate Imaging-Reporting and Data System (PI-RADS) scoring is a controversial topic. In this retrospective study, we aimed to measure the added value of DCE-MRI in combination with T2-weighted (T2W) and diffusion-weighted imaging (DWI) using PI-RADS v2.1, in terms of reproducibility and diagnostic accuracy, for detection of prostate cancer (PCa) and clinically significant PCa (CS-PCa, for Gleason Score ≥ 7). 117 lesions in 111 patients were identified as suspicion by multiparametric MRI (mpMRI) and addressed for biopsy. Three experienced readers independently assessed PI-RADS score, first using biparametric MRI (bpMRI, including DWI and T2W), and then multiparametric MRI (also including DCE). The inter-rater and inter-method agreement (bpMRI- vs. mpMRI-based scores) were assessed by Cohen’s kappa (κ). Receiver operating characteristics (ROC) analysis was performed to evaluate the diagnostic accuracy for PCa and CS-PCa detection among the two scores. Inter-rater agreement was excellent for the three pairs of readers (κ ≥ 0.83), while the inter-method agreement was good (κ ≥ 0.73). Areas under the ROC curve (AUC) showed similar high-values (0.8 ≤ AUC ≤ 0.85). The reproducibility of PI-RADS v2.1 scoring was comparable and high among readers, without relevant differences, depending on the MRI protocol used. The inclusion of DCE did not influence the diagnostic accuracy.https://www.mdpi.com/2075-4418/10/3/164magnetic resonance imagingprostate cancermpmripi-radsdcereproducibilityroc analysis |
| spellingShingle | Valentina Brancato Giuseppe Di Costanzo Luca Basso Liberatore Tramontano Marta Puglia Alfonso Ragozzino Carlo Cavaliere Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility Diagnostics magnetic resonance imaging prostate cancer mpmri pi-rads dce reproducibility roc analysis |
| title | Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility |
| title_full | Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility |
| title_fullStr | Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility |
| title_full_unstemmed | Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility |
| title_short | Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility |
| title_sort | assessment of dce utility for pca diagnosis using pi rads v2 1 effects on diagnostic accuracy and reproducibility |
| topic | magnetic resonance imaging prostate cancer mpmri pi-rads dce reproducibility roc analysis |
| url | https://www.mdpi.com/2075-4418/10/3/164 |
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