Literature DB >> 30671889

Whole mount histopathological correlation with prostate MRI in Grade I and II prostatectomy patients.

Michael Wang1,2, Nafiseh Janaki3, Christina Buzzy1,2, Laura Bukavina1, Amr Mahran1,2, Kirtishri Mishra1, Gregory MacLennan3, Lee Ponsky4,5.   

Abstract

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) is increasingly used in detection and surveillance of prostate cancer. However, the co-localization of lower grade lesions between mpMRI and histopathologic specimen has not been well established.
OBJECTIVE: We aim to determine the factors on final histopathological exam that correlate to tumor visibility for Grade I and II disease on mpMRI.
METHODS: Fifty-five patients who underwent radical prostatectomy from July 2014 to June 2016 were analyzed for the study. Of the sample of 55 patients, 18 were found to have Gleason score (GS) of 3 + 3 or 3 + 4 disease, and then were re-reviewed and annotated by a pathologist. Lesion diameter, area, and distance from the prostate capsule were measured. The annotated lesions were co-localized to the MRI report.
RESULTS: Of the 184 lesions identified on the whole mount histopathologic slides, 106 (57.6%), 62 (33.7%), 14 (7.6%), and 2 (1.1%) of the lesions had a GS of 3 + 3, 3 + 4, 4 + 3, and 4 + 4, respectively. On analysis, 27.3% (24/88) of GS 6 (< 1.5 cm in size), and 88.9% (16/18) of GS 6 (> 1.5 cm in size) were identified (p < 0.001). Additionally, when assessing lesion proximity to the prostatic capsule, 46.1% (41/89) of lesions closer (≤ 0.05 cm), and 30.5% (29/95) of lesions further (> 0.05 cm) from the capsule were visualized.
CONCLUSION: Lesion diameter, area, and capsule proximity correlated with MRI visibility. Further studies are encouraged to validate the findings of our study.

Entities:  

Keywords:  Histopathology; Intermediate prostate cancer; Multiparametric MRI; Prostate cancer

Mesh:

Year:  2019        PMID: 30671889     DOI: 10.1007/s11255-019-02083-8

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  5 in total

1.  Observed racial disparity in the negative predictive value of multi-parametric MRI for the diagnosis for prostate cancer.

Authors:  Amr Mahran; Kirtishri Mishra; Laura Bukavina; Fredrick Schumacher; Anna Quian; Christina Buzzy; Carvell T Nguyen; Vikas Gulani; Lee E Ponsky
Journal:  Int Urol Nephrol       Date:  2019-05-02       Impact factor: 2.370

2.  Mri-based cancer lesion analysis with 3d printed patient specific prostate cutting guides.

Authors:  David R Rutkowski; Shane A Wells; Brian Johnson; Wei Huang; David F Jarrard; Joshua M Lang; Steve Cho; Alejandro Roldán-Alzate
Journal:  Am J Clin Exp Urol       Date:  2019-08-15

Review 3.  Prostate zones and cancer: lost in transition?

Authors:  Amin Ali; Alexander Du Feu; Pedro Oliveira; Ananya Choudhury; Robert G Bristow; Esther Baena
Journal:  Nat Rev Urol       Date:  2021-10-19       Impact factor: 14.432

4.  Correlation of Prostate-Imaging Reporting and Data Scoring System scoring on multiparametric prostate magnetic resonance imaging with histopathological factors in radical prostatectomy material in Turkish prostate cancer patients: a multicenter study of the Urooncology Association.

Authors:  Fuat Kızılay; Serdar Çelik; Sinan Sözen; Bora Özveren; Saadettin Eskiçorapçı; Mahir Özgen; Haluk Özen; Bülent Akdoğan; Güven Aslan; Fehmi Narter; Çağ Çal; Levent Türkeri
Journal:  Prostate Int       Date:  2020-02-08

5.  Artificial Intelligence Combined With Big Data to Predict Lymph Node Involvement in Prostate Cancer: A Population-Based Study.

Authors:  Liwei Wei; Yongdi Huang; Zheng Chen; Hongyu Lei; Xiaoping Qin; Lihong Cui; Yumin Zhuo
Journal:  Front Oncol       Date:  2021-10-14       Impact factor: 6.244

  5 in total

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