Literature DB >> 32368959

Extraprostatic Tumor Extension: Comparison of Preoperative Multiparametric MRI Criteria and Histopathologic Correlation after Radical Prostatectomy.

Kye Jin Park1, Mi-Hyun Kim1, Jeong Kon Kim1.   

Abstract

Background There are no standardized and well-validated criteria for assessing the risk of extraprostatic extension (EPE) of prostate cancer at preoperative multiparametric MRI. Purpose To compare diagnostic performance, intra- and interreader agreement, and correlations of MRI-based criteria for assessment of EPE after radical prostatectomy, including EPE grade, European Society of Urogenital Radiology (ESUR) score, Likert scale, and capsular contact length (CCL). Materials and Methods This retrospective study included consecutive men who underwent MRI and radical prostatectomy between July 2016 and March 2017. Two genitourinary radiologists independently estimated the probability of EPE by using four MRI-based scoring methods. The diagnostic accuracies and intra- and interobserver agreement were evaluated with area under the receiver operating characteristic curve (AUC) and κ statistics, respectively. Correlations between MRI-based score and histologic extent of EPE were analyzed by using the Spearman correlation coefficient (ρ). Results A total of 301 men (mean age ± standard deviation, 65 years ± 7) were evaluated. A total of 129 (42.9%) men had EPE. The AUC ranges of EPE grade, ESUR score, Likert scale, and CCL for assessment of EPE were 0.77-0.81, 0.79-0.81, 0.78-0.79, and 0.78-0.85, respectively, for the two readers. The Likert scale showed lower sensitivity (68.2% [88 of 129] for reader 1, 72.1% [93 of 129] for reader 2) than did EPE grade (77.5% [100 of 129] for reader 1, 79.8% [103 of 129] for reader 2; P ≤ .04). Intra- and interreader agreement were substantial (κ range, 0.61-0.74) for the four methods, with ESUR score showing the lowest values (κ = 0.61 and κ = 0.63, respectively). EPE grade showed highest correlation with histologic extent of EPE (ρ = 0.53 and ρ = 0.55 for circumferential length; ρ = 0.42 and ρ = 0.55 for radial length for readers 1 and 2, respectively; P < .001). Conclusion Extraprostatic extension (EPE) grade, European Society of Urogenital Radiology score, Likert scale, and capsular contact length showed good overall diagnostic performance; however, the EPE grade resulted in more reliable performance and had the highest correlation with histologic EPE extent. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Padhani and Petralia in this issue.

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Year:  2020        PMID: 32368959     DOI: 10.1148/radiol.2020192133

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

1.  Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study.

Authors:  Ying Hou; Yi-Hong Zhang; Jie Bao; Mei-Ling Bao; Guang Yang; Hai-Bin Shi; Yang Song; Yu-Dong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-21       Impact factor: 9.236

2.  Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy.

Authors:  Eoin Dinneen; Clare Allen; Tom Strange; Daniel Heffernan-Ho; Jelena Banjeglav; Jamie Lindsay; John-Patrick Mulligan; Tim Briggs; Senthil Nathan; Ashwin Sridhar; Jack Grierson; Aiman Haider; Christos Panayi; Dominic Patel; Alex Freeman; Jonathan Aning; Raj Persad; Imran Ahmad; Lorenzo Dutto; Neil Oakley; Alessandro Ambrosi; Tom Parry; Veeru Kasivisvanathan; Francesco Giganti; Greg Shaw; Shonit Punwani
Journal:  Diagnostics (Basel)       Date:  2022-04-23

3.  Periprostatic schwannoma mimicking metastatic lymphadenopathy in a case of multifocal prostate adenocarcinoma.

Authors:  Jia Wei Tan; Jyothirmayi Velaga; John Shyi Ping Yuen; Xin Min Cheng; Yan Mee Law
Journal:  J Radiol Case Rep       Date:  2021-03-31

4.  External Validation of the Extraprostatic Extension Grade on MRI and Its Incremental Value to Clinical Models for Assessing Extraprostatic Cancer.

Authors:  Lili Xu; Gumuyang Zhang; Xiaoxiao Zhang; Xin Bai; Weigang Yan; Yu Xiao; Hao Sun; Zhengyu Jin
Journal:  Front Oncol       Date:  2021-04-01       Impact factor: 6.244

5.  The Quantitative Assessment of Using Multiparametric MRI for Prediction of Extraprostatic Extension in Patients Undergoing Radical Prostatectomy: A Systematic Review and Meta-Analysis.

Authors:  Wei Li; Yuan Sun; Yiman Wu; Feng Lu; Hongtao Xu
Journal:  Front Oncol       Date:  2021-11-22       Impact factor: 6.244

6.  Diagnostic Performance of Extraprostatic Extension Grading System for Detection of Extraprostatic Extension in Prostate Cancer: A Diagnostic Systematic Review and Meta-Analysis.

Authors:  Wei Li; Wenwen Shang; Feng Lu; Yuan Sun; Jun Tian; Yiman Wu; Anding Dong
Journal:  Front Oncol       Date:  2022-01-25       Impact factor: 6.244

7.  MRI grading for the prediction of prostate cancer aggressiveness.

Authors:  M Boschheidgen; L Schimmöller; C Arsov; F Ziayee; J Morawitz; B Valentin; K L Radke; M Giessing; I Esposito; P Albers; G Antoch; T Ullrich
Journal:  Eur Radiol       Date:  2021-11-08       Impact factor: 7.034

8.  MRI Extraprostatic Extension Grade: Accuracy and Clinical Incremental Value in the Assessment of Extraprostatic Cancer.

Authors:  Jun-Yi Xiang; Xiao-Shan Huang; Jian-Xia Xu; Ren-Hua Huang; Xiao-Zhong Zheng; Li-Ming Xue; Yu-Long Liu
Journal:  Biomed Res Int       Date:  2022-08-30       Impact factor: 3.246

9.  Prostate-specific membrane antigen positron emission tomography (PSMA-PET) for local staging of prostate cancer: a systematic review and meta-analysis.

Authors:  Sungmin Woo; Soleen Ghafoor; Anton S Becker; Sangwon Han; Andreas G Wibmer; Hedvig Hricak; Irene A Burger; Heiko Schöder; Hebert Alberto Vargas
Journal:  Eur J Hybrid Imaging       Date:  2020-09-09

10.  MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study.

Authors:  Renato Cuocolo; Arnaldo Stanzione; Riccardo Faletti; Marco Gatti; Giorgio Calleris; Alberto Fornari; Francesco Gentile; Aurelio Motta; Serena Dell'Aversana; Massimiliano Creta; Nicola Longo; Paolo Gontero; Stefano Cirillo; Paolo Fonio; Massimo Imbriaco
Journal:  Eur Radiol       Date:  2021-04-01       Impact factor: 5.315

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