Literature DB >> 29489410

Diagnostic Utility of a Likert Scale Versus Qualitative Descriptors and Length of Capsular Contact for Determining Extraprostatic Tumor Extension at Multiparametric Prostate MRI.

Daniel N Costa1,2, Niccolo M Passoni3, John R Leyendecker1, Alberto Diaz de Leon1, Yair Lotan3, Claus G Roehrborn3, Susana Otero-Muinelo1, Harpreet Grewal1, Yin Xi1, Franto Francis4, Neil M Rofsky1,2, Ivan Pedrosa1,2,3.   

Abstract

OBJECTIVE: The purpose of this study is to determine the reproducibility and diagnostic performance of a Likert scale in comparison with the European Society of Urogenital Radiology (ESUR) criteria and tumor-pseudocapsule contact length (TCL) for the detection of extraprostatic extension (EPE) at multiparametric MRI.
MATERIALS AND METHODS: This was a retrospective review of all men who underwent multiparametric MRI followed by prostatectomy between November 2015 and July 2016. Multiparametric 3-T MRI studies with an endorectal coil were independently reviewed by five readers who assigned the likelihood of EPE using a 1-5 Likert score, ESUR criteria, and TCL (> 10 mm). EPE outcome (absent or present) for the index lesion at whole-mount histopathologic analysis was the standard of reference. Odds ratios (ORs) and areas under the ROC curve (Az) were used for diagnostic accuracy. The interreader agreement was determined using a weighted kappa coefficient. A p < 0.05 was considered significant.
RESULTS: Eighty men met the eligibility criteria. At univariate analysis, the Likert score showed the strongest association (OR, 1.8) with EPE, followed by prostate-specific antigen level (OR, 1.7), ESUR score (OR, 1.6), and index lesion size (OR, 1.2). At multivariable analysis, higher Likert score (OR, 1.8) and prostate-specific antigen level (OR, 1.6-1.7) were independent predictors of EPE. The Az value for Likert scores was statistically significantly higher (0.79) than that for TCL (0.74; p < 0.01), but not statistically significantly higher than the value for ESUR scores (0.77; p = 0.17). Interreader agreement with Likert (κ = 0.52) and ESUR scores (κ = 0.55) was moderate and slightly superior to that for TCL (κ = 0.43). Except for TCL among inexperienced readers (κ = 0.34), reader experience did not affect interreader agreement.
CONCLUSION: A Likert score conveying the degree of suspicion at multiparametric MRI is a stronger predictor of EPE than is either ESUR score or TCL and may facilitate informed decision making, patient counseling, and treatment planning.

Entities:  

Keywords:  MRI; imaging-pathology correlation; prostate cancer; risk stratification; staging

Mesh:

Year:  2018        PMID: 29489410     DOI: 10.2214/AJR.17.18849

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  12 in total

1.  A Grading System for Extraprostatic Extension of Prostate Cancer That We Can All Agree Upon?

Authors:  Peter L Choyke
Journal:  Radiol Imaging Cancer       Date:  2020-01-17

2.  Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans.

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3.  A Grading System for the Assessment of Risk of Extraprostatic Extension of Prostate Cancer at Multiparametric MRI.

Authors:  Sherif Mehralivand; Joanna H Shih; Stephanie Harmon; Clayton Smith; Jonathan Bloom; Marcin Czarniecki; Samuel Gold; Graham Hale; Kareem Rayn; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2019-01-22       Impact factor: 11.105

4.  mEPE-score: a comprehensive grading system for predicting pathologic extraprostatic extension of prostate cancer at multiparametric magnetic resonance imaging.

Authors:  Marco Gatti; Riccardo Faletti; Francesco Gentile; Enrico Soncin; Giorgio Calleris; Alberto Fornari; Marco Oderda; Alessandro Serafini; Giulio Antonino Strazzarino; Elena Vissio; Laura Bergamasco; Stefano Cirillo; Mauro Giulio Papotti; Paolo Gontero; Paolo Fonio
Journal:  Eur Radiol       Date:  2022-03-15       Impact factor: 7.034

5.  Radiomics Based on Multiparametric Magnetic Resonance Imaging to Predict Extraprostatic Extension of Prostate Cancer.

Authors:  Lili Xu; Gumuyang Zhang; Lun Zhao; Li Mao; Xiuli Li; Weigang Yan; Yu Xiao; Jing Lei; Hao Sun; Zhengyu Jin
Journal:  Front Oncol       Date:  2020-06-16       Impact factor: 6.244

6.  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

7.  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

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Journal:  J Spine Surg       Date:  2020-01

9.  The Diagnostic Performance of the Length of Tumor Capsular Contact on MRI for Detecting Prostate Cancer Extraprostatic Extension: A Systematic Review and Meta-Analysis.

Authors:  Tae Hyung Kim; Sungmin Woo; Sangwon Han; Chong Hyun Suh; Soleen Ghafoor; Hedvig Hricak; Hebert Alberto Vargas
Journal:  Korean J Radiol       Date:  2020-06       Impact factor: 3.500

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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