Prostate Magnetic Resonance Imaging Using the Prostate Imaging for Recurrence Reporting (PI-RR) Scoring System to Detect Recurrent Prostate Cancer: A Systematic Review and Meta-analysis

被引:0
|
作者
Mourato, Felipe A. [1 ]
Schmitt, Luiza G. [2 ]
Mariussi, Miriana [3 ]
Torri, Giovanni [4 ]
Altmayer, Stephan [5 ]
Giganti, Francesco [6 ,7 ]
Abreu-Gomez, Jorge [8 ,9 ]
Perlis, Nathan [10 ]
Berlin, Alejandro [11 ,12 ]
Ghai, Sangeet [8 ,9 ]
Haider, Masoom A. [8 ,9 ]
Dias, Adriano B. [8 ,9 ]
机构
[1] Hosp Clin Univ Fed Pernambuco, Empresa Brasileira Serv Hosp, Unidade Diagnost Imagem, Recife, Brazil
[2] UT Southwestern, Dept Radiat Oncol, Dallas, TX USA
[3] Hosp Univ Austral, Dept Phamacy, Buenos Aires, Argentina
[4] Univ Fed Santa Maria, Hosp Univ Santa Maria, Santa Maria, RS, Brazil
[5] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA USA
[6] Univ Coll London Hosp NHS Fdn Trust, Dept Radiol, London, England
[7] UCL, Div Surg & Intervent Sci, London, England
[8] Univ Toronto, Univ Med Imaging Toronto, Univ Hlth Network, Sinai Hlth Syst,Womens Coll Hosp, Toronto, ON, Canada
[9] Univ Toronto, Univ Hlth Network, Womens Coll Hosp, Sinai Hlth Syst,Joint Dept Med Imaging, Toronto, ON, Canada
[10] Univ Hlth Network, Princess Margaret Canc Ctr, Dept Surg, Div Urol, Toronto, ON, Canada
[11] Univ Toronto, Univ Hlth Network, Princess Margaret Canc Ctr, Toronto, ON, Canada
[12] Univ Toronto, Toronto, ON, Canada
来源
EUROPEAN UROLOGY ONCOLOGY | 2024年 / 7卷 / 06期
关键词
Magnetic resonance imaging; Prostate cancer; Prostate Imaging for Recurrence; Reporting (PI-RR); Reporting system; RADICAL PROSTATECTOMY; MULTIPARAMETRIC MRI; LOCAL RECURRENCE; ACCURACY; QUALITY; PET/CT;
D O I
10.1016/j.euo.2024.05.007
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and objective: Prostate Imaging for Recurrence Reporting (PI-RR) was introduced in 2021 to standardize the interpretation and reporting of multiparametric magnetic resonance imaging (MRI) for prostate cancer following whole-gland treatment. The system scores image on a scale from 1 to 5 and has shown promising results in single- center studies. The aim of our systematic review and meta-analysis was to assess the diagnostic performance of the PI-RR system in predicting the likelihood of local recurrence after whole-gland treatment. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for diagnostic test accuracy were followed. Relevant databases were searched up to December 2023. Primary studies met the eligibility criteria if they reported MRI diagnostic performance in prostate cancer recurrence using PI-RR. Diagnostic performance for MRI was assessed using two different cutoff points (>3 or >4 for positivity according to the PI-RR system). A meta-analysis with a random- effects model was used to estimate pooled sensitivity and specificity values. Key findings and limitations: Sixteen articles were identified for full-text reading, of which six were considered eligible, involving a total of 467 patients. Using a cutoff of PI-RR >3 (4 studies) for recurrent disease, the sensitivity was 77.8% (95% confidence interval [CI] 69.9-84.1%) and the specificity was 80.2% (95% CI 58.2-92.2%). Using a cutoff of PI-RR >4 (4 studies), the sensitivity was 61.9% (95% CI 35.6-82.7%) and the specificity was 86.6% (95% CI 75.1-93.3%). Overall, the inter-rater agreement varied from fair to excellent. Conclusions and clinical implications: PI-RR is accurate in detecting local recurrence after whole-gland treatment for prostate cancer and shows fair-to-good to excellent inter-reader agreement. Overall, a PI-RR cutoff of >= 3 showed high sensitivity and specificity. Patient summary: We reviewed studies that reported on how good MRI scans using a scoring system called PI-RR were in detecting recurrence of prostate cancer. We found that this system shows good performance, with fair to excellent agreement between dif- ferent radiologists. (c) 2024 European Association of Urology. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:1246 / 1254
页数:9
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