Literature DB >> 33770224

The absolute tumor-capsule contact length in the diagnosis of extraprostatic extension of prostate cancer.

Kulyada Eurboonyanun1,2, Nisanard Pisuchpen3,4, Aileen O'Shea1, Rita Maria Lahoud1, Isha D Atre1, Mukesh Harisinghani1.   

Abstract

BACKGROUND: Extraprostatic extension (EPE) of prostate cancer is associated with a poor prognosis. The broad-based capsule-tumor interface has been recognized as one of the worrisome imaging features in multiparametric prostate MRI (mpMRI). However, there was significant heterogeneity among the measurement method used in prior studies.
OBJECTIVES: This study's objectives were to investigate and compare the accuracy between the curvilinear and linear measurement, find the optimal cut-off contact surface threshold for the diagnosis of EPE, and assess the benefit of the additional contact surface measurement versus visual assessment alone.
METHODS: The status of EPE in mpMRI and the overall PI-RADS were assessed. The tumor's dimensions, the actual tumor-capsule contact length (ACTCL), and the absolute tumor-capsule contact length (ABTCL) were measured. The parameters were analyzed and correlated with the EPE status from prostatectomy specimens.
RESULTS: Ninety-five patients who underwent mpMRI followed by prostatectomy were included in the study. High Gleason score (score 8-9), radiologist's impression of EPE, and PI-RADS 5 were significantly correlated with EPE in surgical specimens (p = 0.014, p < 0.001, and p < 0.001, respectively). Both ACTCL and ABTCL of patients with EPE were significantly higher than those without EPE in all imaging sequences (p < 0.001 to p = 0.003). The ABTCL has higher accuracy than the ACTCL. Dynamic contrast enhancement (DCE) was the most accurate sequence to measure the contact interface. The recommended cut-off value of ABTCL was 15.0 mm, which had a sensitivity and specificity of 75.86% and 72.09%. Multivariable analysis revealed that the ABTCL > 15 mm and the radiologist's impression on visual assessment were the only two independent predictors for the prediction of EPE (p = 0.048 and p = 0.016, respectively). Improvement of diagnostic performance was achieved when the two factors were combined.
CONCLUSION: The ABTCL has better accuracy than the curvilinear measurement in the prediction of EPE. The optimum sequence for the measurement of the contact surface is the DCE. We recommended using 15.0 mm as a cut-off point. CLINICAL IMPACT: The addition of the ABTCL measurement showed an increase in diagnostic performance. We encourage radiologists to use the capsular contact measurement in addition to their visual assessment to detect EPE in pre-operative MRI.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Year:  2021        PMID: 33770224     DOI: 10.1007/s00261-021-03063-2

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  31 in total

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Authors:  Lars Boesen
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Review 2.  Treatment options for localized prostate cancer.

Authors:  Mira Keyes; Juanita Crook; Gerard Morton; Eric Vigneault; Nawaid Usmani; W James Morris
Journal:  Can Fam Physician       Date:  2013-12       Impact factor: 3.275

3.  Treatment of localized prostate cancer.

Authors:  Bulent Akduman; E David Crawford
Journal:  Rev Urol       Date:  2006

4.  Extraprostatic extension into periprostatic fat is a more important determinant of prostate cancer recurrence than an invasive phenotype.

Authors:  Jada Kapoor; Benjamin Namdarian; John Pedersen; Chris Hovens; Daniel Moon; Justin Peters; Anthony J Costello; Paul Ruljancich; Niall M Corcoran
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Review 5.  Role of MRI prebiopsy in men at risk for prostate cancer: taking off the blindfold.

Authors:  Marc A Bjurlin; Andrew B Rosenkrantz; Samir S Taneja
Journal:  Curr Opin Urol       Date:  2017-05       Impact factor: 2.309

Review 6.  Magnetic resonance imaging-targeted biopsy may enhance the diagnostic accuracy of significant prostate cancer detection compared to standard transrectal ultrasound-guided biopsy: a systematic review and meta-analysis.

Authors:  Ivo G Schoots; Monique J Roobol; Daan Nieboer; Chris H Bangma; Ewout W Steyerberg; M G Myriam Hunink
Journal:  Eur Urol       Date:  2014-12-03       Impact factor: 20.096

7.  EAU-ESTRO-SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent.

Authors:  Nicolas Mottet; Joaquim Bellmunt; Michel Bolla; Erik Briers; Marcus G Cumberbatch; Maria De Santis; Nicola Fossati; Tobias Gross; Ann M Henry; Steven Joniau; Thomas B Lam; Malcolm D Mason; Vsevolod B Matveev; Paul C Moldovan; Roderick C N van den Bergh; Thomas Van den Broeck; Henk G van der Poel; Theo H van der Kwast; Olivier Rouvière; Ivo G Schoots; Thomas Wiegel; Philip Cornford
Journal:  Eur Urol       Date:  2016-08-25       Impact factor: 20.096

8.  Extent of extraprostatic extension independently influences biochemical recurrence-free survival: evidence for further pT3 subclassification.

Authors:  Mark W Ball; Alan W Partin; Jonathan I Epstein
Journal:  Urology       Date:  2014-10-18       Impact factor: 2.633

Review 9.  Prostate Imaging-Reporting and Data System Version 2: Beyond Prostate Cancer Detection.

Authors:  Sung Yoon Park; Nam Hoon Cho; Dae Chul Jung; Young Taik Oh
Journal:  Korean J Radiol       Date:  2018-02-22       Impact factor: 3.500

10.  Routine pelvic MRI using phased-array coil for detection of extraprostatic tumour extension: accuracy and clinical significance.

Authors:  Knut Håkon Hole; Karol Axcrona; Agnes Kathrine Lie; Ljiljana Vlatkovic; Oliver Marcel Geier; Bjørn Brennhovd; Kjetil Knutstad; Dag Rune Olsen; Therese Seierstad
Journal:  Eur Radiol       Date:  2012-11-01       Impact factor: 5.315

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  1 in total

1.  Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning.

Authors:  Ştefania L Moroianu; Indrani Bhattacharya; Arun Seetharaman; Wei Shao; Christian A Kunder; Avishkar Sharma; Pejman Ghanouni; Richard E Fan; Geoffrey A Sonn; Mirabela Rusu
Journal:  Cancers (Basel)       Date:  2022-06-07       Impact factor: 6.575

  1 in total

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