Literature DB >> 26823024

Diffusion-weighted imaging predicts upgrading of Gleason score in biopsy-proven low grade prostate cancers.

Sung Yoon Park1, Young Taik Oh1, Dae Chul Jung1, Nam Hoon Cho2, Young Deuk Choi3, Koon Ho Rha3, Sung Joon Hong3.   

Abstract

OBJECTIVE: To analyse whether diffusion-weighted imaging (DWI) predicts Gleason score (GS) upgrading in biopsy-proven low grade prostate cancer (PCa). PATIENTS AND METHODS: A total of 132 patients who had biopsy-proven low grade (GS < 7) PCa, 3T DWI results, and surgical confirmation were retrospectively included in the study. Clinical variables (prostate-specific antigen, greatest percentage of cancer in a biopsy core and percentage of positive cores) and DWI variables (minimum apparent diffusion coefficient [ADCmin ] and mean ADC [ADCmean ]) were evaluated. ADCmin was measured, by two independent, blinded readers, using a region of interest (ROI) of 5-10 mm2 at the area of lowest ADC value within a cancer, while ADCmean was measured using an ROI covering more than half of a cancer. Logistic regression and receiver-operating characteristic curve analyses were performed.
RESULTS: The rate of GS upgrading was 46.1% (61/132). In both univariate and multivariate analyses, ADCmin and ADCmean were persistently significant for predicting GS upgrading (P < 0.05), whereas clinical variables were not (P > 0.05). In both readers' results, the area under the curve (AUC) of ADCmin was significantly greater than that of ADCmean (reader 1: AUC 0.760 vs 0.711; P < 0.001; reader 2: AUC 0.752 vs 0.714; P = 0.003).
CONCLUSION: Our results showed that DWI may predict GS upgrading of biopsy-proven low grade PCa. The variable ADCmin in PCa may perform better than ADCmean .
© 2016 The Authors BJU International © 2016 BJU International Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Gleason score; diffusion-weighted imaging; prostate cancer; upgrading

Mesh:

Year:  2016        PMID: 26823024     DOI: 10.1111/bju.13436

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  5 in total

1.  MRI features after prostatic artery embolization for the treatment of medium- and large-volume benign hyperplasia.

Authors:  Hongtao Zhang; Yanguang Shen; Jingjing Pan; Haiyi Wang; Yan Zhong; Yingwei Wang; Huiyi Ye
Journal:  Radiol Med       Date:  2018-05-12       Impact factor: 3.469

2.  Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes.

Authors:  Jorge Abreu-Gomez; Daniel Walker; Tareq Alotaibi; Matthew D F McInnes; Trevor A Flood; Nicola Schieda
Journal:  Eur Radiol       Date:  2020-03-24       Impact factor: 5.315

3.  Predicting side-specific prostate cancer extracapsular extension: a simple decision rule of PSA, biopsy, and MRI parameters.

Authors:  Piotr Zapała; Bartosz Dybowski; Ewa Bres-Niewada; Tomasz Lorenc; Agnieszka Powała; Zbigniew Lewandowski; Marek Gołębiowski; Piotr Radziszewski
Journal:  Int Urol Nephrol       Date:  2019-06-10       Impact factor: 2.370

Review 4.  Multiparametric magnetic resonance imaging of the prostate-a basic tutorial.

Authors:  Miguel C Cabarrus; Antonio C Westphalen
Journal:  Transl Androl Urol       Date:  2017-06

5.  Prediction of Pathological Upgrading at Radical Prostatectomy in Prostate Cancer Eligible for Active Surveillance: A Texture Features and Machine Learning-Based Analysis of Apparent Diffusion Coefficient Maps.

Authors:  Jinke Xie; Basen Li; Xiangde Min; Peipei Zhang; Chanyuan Fan; Qiubai Li; Liang Wang
Journal:  Front Oncol       Date:  2021-02-04       Impact factor: 6.244

  5 in total

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