Literature DB >> 31829421

Utility of index lesion volume assessed by multiparametric MRI combined with Gleason grade for assessment of lymph node involvement in patients with high-risk prostate cancer.

Koji Hatano1, Junichiro Tanaka2, Yasutomo Nakai1, Masashi Nakayama1, Ken-Ichi Kakimoto1, Katsuyuki Nakanishi2, Kazuo Nishimura1.   

Abstract

PURPOSE: We examined the potential predictors of lymph node involvement and evaluated whether index lesion volume assessed using multiparametric magnetic resonance imaging is associated with lymph node involvement among patients with high-risk prostate cancer.
METHODS: Extended pelvic lymph node dissection was used to evaluate patients with lymph node involvement. We retrospectively analyzed consecutive 102 patients with high-risk prostate cancer who underwent extended pelvic lymph node dissection at our institution between 2011 and 2017. To evaluate the index lesion volume at multiparametric magnetic resonance imaging (mrV), lesions were manually contoured on each T2-weighted axial slice in combination with diffusion-weighted and dynamic contrast-enhanced magnetic resonance imaging and integrated using image analysis software. Logistic regression analysis was performed to identify predictors of lymph node involvement.
RESULTS: The median mrV was 1.4 ml (range 0-30.1 ml), and the median number of resected lymph nodes was 14 (range 7-38). Among 102 patients, 28 (28%) had lymph node involvement. Multivariate analysis identified significant predictors of lymph node involvement as follows: biopsy Gleason-grade group 5 (odds ratio = 17.2; 95% confidence interval, 2.1-299.0; P = 0.005), preoperative mrV (odds ratio = 1.14; 95% confidence interval, 1.02-1.30; P = 0.025) and percentage of positive cores with highest Gleason-grade group (odds ratio = 1.05; 95% confidence interval, 1.01-1.10; P = 0.005). Lymph node involvement was prevalent (69%) among tumors with Gleason-grade group 5 and mrV ≥3.4 ml, but was infrequently (10%) present among tumors with Gleason-grade group ≤4 and mrV <3.4 ml.
CONCLUSIONS: The combination of biopsy Gleason-grade and mrV may serve as a useful tool to stratify patients according to their risk of nodal metastases.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  MRI; lymph node; metastasis; prostate cancer

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Year:  2020        PMID: 31829421     DOI: 10.1093/jjco/hyz170

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  3 in total

1.  Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer.

Authors:  Haoxin Zheng; Qi Miao; Yongkai Liu; Sohrab Afshari Mirak; Melina Hosseiny; Fabien Scalzo; Steven S Raman; Kyunghyun Sung
Journal:  Eur Radiol       Date:  2022-03-03       Impact factor: 7.034

Review 2.  Extracellular vesicles in prostate cancer: a narrative review.

Authors:  Koji Hatano; Kazutoshi Fujita
Journal:  Transl Androl Urol       Date:  2021-04

3.  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

  3 in total

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