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Scialpi M, Martorana E, Trippa F, Di Marzo A, Battista Scalera G, Cristina Aisa M, D’Andrea A, Maria Mancioli F, Nicola R, Scialpi P, Di Blasi A. Prostate Imaging for Local Recurrence Reporting and Data System for Biparametric Magnetic Resonance Imaging: A Proposal. UROLOGY RESEARCH & PRACTICE 2023; 49:233-240. [PMID: 37877824 PMCID: PMC10544277 DOI: 10.5152/tud.2023.22228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 06/05/2023] [Indexed: 10/26/2023]
Abstract
We investigated a novel dedicated Prostate Imaging for Local Recurrence Reporting and Data System (PI-RRADS) in biochemical recurrence after radiotherapy (RT) and rad- ical prostatectomy (RP) evaluating biparametric magnetic resonance imaging (bpMRI) exams, at 3T MRI of 55 patients. Associating bpMRI and biochemical recurrence data, we calculated bpMRI diagnostic accuracy. Four probability categories, from 1 (very low) to 4 (very high), were distinguished. In 20 patients with radiotherapy, 25% and 75% of lesions were reported as PI-RRADS 3, and 4, respectively. In 35 patients with radi- cal prostatectomy, 7.7% of lesions were included in PI-RRADS 1-2, whereas 40.4% and 51.9% in PI-RRADS 3 and 4 categories, respectively. Excellent agreement and significant correlation between bpMRI and biochemical recurrence were found. BpMRI showed sensitivity, specificity, positive predictive value, negative predictive value, false-posi- tive value, false-negative value, and total diagnostic accuracy of 96.15%, 86.7%, 97.4 %, 81.25%, 13.3%, 3.8% and 94.6%, respectively. BpMRI-based PI-RRADS allows the detection and localization local recurrence in biochemical recurrence after RT and RP contributing in clinical management and treatment.
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Affiliation(s)
- Michele Scialpi
- Department of Medicine and Surgery, Division of Diagnostic Imaging, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | | | - Fabio Trippa
- Radiation Oncology Centre, Ospedale Santa Maria, Terni, Italy
| | | | | | - Maria Cristina Aisa
- Department of Medicine and Surgery, Division of Obstetric and Gynaecology, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | | | | | - Refky Nicola
- Department of Radiology, Syracuse, SUNY Upstate Medical, State University of New York Upstate Medical University, USA
| | - Pietro Scialpi
- Division of Urology, Portogruaro Hospital, Venice, Italy
| | - Aldo Di Blasi
- Division of Radiology, Tivoli Hospital, Tivoli, Italy
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Scialpi M, Scialpi P, Martorana E, Torre R, Improta A, Aisa MC, D’Andrea A, Di Blasi A. Simplified PI-RADS (S-PI-RADS) for biparametric MRI to detect and manage prostate cancer: What urologists need to know. Turk J Urol 2021; 47:175-182. [PMID: 35929870 PMCID: PMC8260088 DOI: 10.5152/tud.2021.21004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 04/09/2021] [Indexed: 09/14/2023]
Abstract
Biparametric magnetic resonance imaging (bpMRI) of the prostate has emerged as an alternative to multiparametric MRI (mpMRI) for the detection of clinically significant prostate cancer (csPCa). However, while the Prostate Imaging Reporting and Data System (PI-RADS) is widely known for mpMRI, a proper PI-RADS for bpMRI has not yet been adopted. In this review, we report the current status and the future directions of bpMRI, and propose a simplified PI-RADS (S-PI-RADS) that could help radiologists and urologists in the detection and management of PCa.
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Affiliation(s)
- Michele Scialpi
- Division of Diagnostic Imaging, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - Pietro Scialpi
- Division of Urology, Portogruaro Hospital, Venice, Italy
| | | | - Riccardo Torre
- Division of Radiology, Ospedale Santa Maria, Terni, Italy
| | - Antonio Improta
- Division of Diagnostic Imaging, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - Maria Cristina Aisa
- Division of Obstetrics and Gynaecology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | | | - Aldo Di Blasi
- Division of Radiology, Tivoli Hospital, Tivoli, Italy
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