CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis-Reference-Cited by-同舟云学术

CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis

Published:2017-08-10 Issue:8 Volume:12 Page:e0182883
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Chee Choong Guen,Kim Young Hoon^ORCID,Lee Kyoung Ho,Lee Yoon Jin,Park Ji Hoon,Lee Hye Seung,Ahn Soyeon,Kim Bohyoung

Funder

SNUBH Research Fund

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference33 articles.

1. Cancer Statistics, 2017;RL Siegel;CA Cancer J Clin,2017

2. National cancer information center. Cancer facts & figures 2012 in the republic of korea.

3. National Comprehensive Cancer Network. Rectal cancer (Version 2.2015).

4. Prognostic significance of tumor regression after preoperative chemoradiotherapy for rectal cancer;C Rodel;J Clin Oncol,2005

5. Neoadjuvant capecitabine and oxaliplatin followed by synchronous chemoradiation and total mesorectal excision in magnetic resonance imaging-defined poor-risk rectal cancer;I Chau;J Clin Oncol,2006

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