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© 2023 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background: treated prostate cancer (PCa) patients develop biochemical recurrence (BCR) in 27–53% of cases; the role of MRI in this setting is still controversial. In 2021 a panel of experts proposed a “Prostate Imaging-Recurrence Reporting” (PI-RR) score, aiming to standardize the reporting. The aim of our study is to evaluate the reproducibility of the PI-RR scoring system among readers with different expertise. Methods: in this monocentric, retrospective observational study, the images of patients who underwent MRI with BCR from January 2017 to January 2022 were analyzed by two radiologists and a radiology resident. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were obtained. Interobserver agreement was calculated. The percentage of the PI-RR score of 3 was estimated to find out the proportion of uncertain exams reported among the readers. Results: a total of seventy-six patients were included in our study: eight previously treated with RT and sixty-eight who underwent surgery. The accuracy range was 75–80%, the sensitivity 68.4–71.1%, the specificity 81.6–89.5%, PPV 78.8–87.1%, and NPV 72.1–75.6%. The inter-reader agreement using a binary evaluation (PI-RR ≥ 3 as positive mpMRI) demonstrated a correlation coefficient (k) of 0.74 (95% CI: 0.62–0.87). The percentage for the PI-RR score of 3 was 6.6% for reader one, 14.5% for reader two, and 2.6% for reader three. Conclusion: this study confirmed the good accuracy of mpMRI in the detection of local recurrence of PCa and the good reproducibility of PI-RR score among all readers, confirming it to be a promising tool for the standardization of the assessment of patients with BCR.

Details

Title
The Role of mpMRI in the Assessment of Prostate Cancer Recurrence Using the PI-RR System: Diagnostic Accuracy and Interobserver Agreement in Readers with Different Expertise
Author
Bergaglio, Chiara 1 ; Giasotto, Veronica 2 ; Marcenaro, Michela 3 ; Barra, Salvina 3 ; Turazzi, Marianna 1 ; Bauckneht, Matteo 4   VIAFID ORCID Logo  ; Casaleggio, Alessandro 2 ; Sciabà, Francesca 1 ; Terrone, Carlo 5 ; Mantica, Guglielmo 5 ; Borghesi, Marco 5 ; Signori, Alessio 1   VIAFID ORCID Logo  ; Spina, Bruno 6 ; Piol, Nataniele 7 ; Zanardi, Elisa 8 ; Fornarini, Giuseppe 9   VIAFID ORCID Logo  ; Jeries, Paolo Zawaideh 2   VIAFID ORCID Logo 

 Department of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy 
 Department of Radiology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
 Department of Radiation Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
 Department of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy; Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
 Department of Urology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Surgical Integrated Sciences (DISC), Urology Section, University of Genova, 16126 Genova, Italy 
 Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
 Anatomia Patologica Universitaria Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
 Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
 Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy 
First page
387
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20754418
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2774843752
Copyright
© 2023 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.