Literature DB >> 32092684

Diffusion-weighted magnetic resonance imaging of mucin pools in locally advanced rectal mucinous adenocarcinoma predicts tumor response to neoadjuvant therapy.

Wuteng Cao1, Biao Li1, Jiayin Gong1, Meiyu Hu1, Wenli Li1, Ximin Pan2, Zhiyang Zhou3.   

Abstract

PURPOSE: To determine the prognostic value of diffusion-weighted magnetic resonance imaging (DW-MRI) of mucin pools (MPs) in predicting the response of patients with locally advanced rectal mucinous adenocarcinoma (RMAC) to neoadjuvant therapy (NAT).
METHOD: A total of 59 patients with histologically proven RMAC received NAT before applying total mesorectal excision. MP and solid tumor (ST) components were identified using T2 weighted image (T2WI) and DW-MRI, and apparent diffusion coefficient (ADC) values were calculated prior, during and after NAT. The receiver operating characteristic (ROC) curve was used to evaluate the ability of ADC values in predicting NAT efficacy as determined by post-pathological tumor regression grade (TRG). In addition, radiologists evaluated the TNM staging of tumors, the mesorectal fascia invasion, the maximal tumor length, and the distance from the inferior part of the tumor to the anal verge. Multivariate analysis and logistic regression were used to determine the correlation of ADC values and baseline MRI parameters with NAT efficacy.
RESULTS: Among the 59 patients, 44 (74.6 %) were men. The mean age of patients was 49.5 ± 11.2 years. The mean ΔADC value during NAT obtained on mucus pool was higher in the responsiveness group than that of the nonresponsiveness group (0.506 ± 0.342 vs. 0.053 ± 0.240 × 10-3 mm2/s, P < .001), with an area under the curve of receiver operating characteristic of 0.881 (95 %CI, 0.770-0.951).
CONCLUSIONS: MRI can be reliably used to measure MP-ADC, which as we showed in this study, represents a biomarker to predict tumor responsiveness of NAT in RMAC patients.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffused weighted imaging; Magnetic resonance imaging; Mucinous; Rectal neoplasms; Treatment outcome

Year:  2020        PMID: 32092684     DOI: 10.1016/j.ejrad.2020.108890

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  A new magnetic resonance imaging tumour response grading scheme for locally advanced rectal cancer.

Authors:  Xiaolin Pang; Peiyi Xie; Li Yu; Haiyang Chen; Jian Zheng; Xiaochun Meng; Xiangbo Wan
Journal:  Br J Cancer       Date:  2022-04-06       Impact factor: 9.075

2.  Pretreatment Apparent Diffusion Coefficient Cannot Predict Histopathological Features and Response to Neoadjuvant Radiochemotherapy in Rectal Cancer: A Meta-Analysis.

Authors:  Alexey Surov; Maciej Pech; Maciej Powerski; Katja Woidacki; Andreas Wienke
Journal:  Dig Dis       Date:  2021-03-04       Impact factor: 2.404

3.  Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics Nomogram.

Authors:  Zhihui Li; Shuai Li; Shuqin Zang; Xiaolu Ma; Fangying Chen; Yuwei Xia; Liuping Chen; Fu Shen; Yong Lu; Jianping Lu
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

  3 in total

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