Literature DB >> 28089690

MRI Evaluation of Rectal Cancer: Staging and Restaging.

Courtney C Moreno1, Patrick S Sullivan2, Pardeep K Mittal3.   

Abstract

Magnetic resonance imaging (MRI) plays an important role in the staging and restaging of rectal cancer. Multiplanar high-resolution (≤3-mm section thickness) T2-weighted images are the primary sequences used for rectal cancer staging. No preprocedural bowel cleansing regimen, intravenous contrast material, nor endorectal coil is necessary. MRI is highly accurate for differentiating T1-T2 disease from T3 and T4 disease, an important distinction as patients with T3 and T4 tumors typically undergo preoperative neoadjuvant chemoradiation before resection. At MRI, the muscularis propria appears as a thin black line encircling the outer wall of the rectum, and tumor extension through this line indicates T3 disease. Further tumor extension into adjacent organs indicates T4 disease. Endorectal ultrasound is generally preferred to differentiate T1 (submucosal involvement) from T2 (extension into but no disruption of muscularis propria) disease. MRI is also accurate in the assessment of tumor involvement of the mesorectal fascia. Tumor involvement of the mesorectal fascia increases the likelihood of recurrence following resection. MRI is less accurate for determination of lymph node status, though heterogeneous signal intensity and irregular margins are suggestive of node positive disease. Approximately 10%-30% of patients who undergo preoperative chemoradiation experience a complete pathologic response that is defined as no residual tumor found at histopathologic analysis of the resected specimen. The addition of diffusion-weighted images to T2-weighted images improves the accuracy of restaging examinations for determination of complete pathologic responders.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 28089690     DOI: 10.1067/j.cpradiol.2016.11.011

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  6 in total

1.  The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.

Authors:  Jinrong Qu; Chen Shen; Jianjun Qin; Zhaoqi Wang; Zhenyu Liu; Jia Guo; Hongkai Zhang; Pengrui Gao; Tianxia Bei; Yingshu Wang; Hui Liu; Ihab R Kamel; Jie Tian; Hailiang Li
Journal:  Eur Radiol       Date:  2018-07-23       Impact factor: 5.315

Review 2.  Emerging applications of radiomics in rectal cancer: State of the art and future perspectives.

Authors:  Min Hou; Ji-Hong Sun
Journal:  World J Gastroenterol       Date:  2021-07-07       Impact factor: 5.742

3.  Risk factor analysis for inaccurate pre-operative MRI staging in rectal cancer.

Authors:  Zerong Cai; Xiaoyu Xie; Yufeng Chen; Zexian Chen; Wuteng Cao; Khamis Salem Saeed Saad; Yifeng Zou; Ping Lan; Xiaojian Wu
Journal:  BMC Cancer       Date:  2020-03-27       Impact factor: 4.430

4.  MRI cT1-2 rectal cancer staging accuracy: a population-based study.

Authors:  R Detering; S E van Oostendorp; V M Meyer; S van Dieren; A C R K Bos; J W T Dekker; O Reerink; J H T M van Waesberghe; C A M Marijnen; L M G Moons; R G H Beets-Tan; R Hompes; H L van Westreenen; P J Tanis; J B Tuynman
Journal:  Br J Surg       Date:  2020-04-16       Impact factor: 6.939

Review 5.  Watch and wait approach in rectal cancer: Current controversies and future directions.

Authors:  Fernando López-Campos; Margarita Martín-Martín; Roberto Fornell-Pérez; Juan Carlos García-Pérez; Javier Die-Trill; Raquel Fuentes-Mateos; Sergio López-Durán; José Domínguez-Rullán; Reyes Ferreiro; Alejandro Riquelme-Oliveira; Asunción Hervás-Morón; Felipe Couñago
Journal:  World J Gastroenterol       Date:  2020-08-07       Impact factor: 5.742

6.  Rectal cancer: a methodological approach to matching PET/MRI to histopathology.

Authors:  Miriam K Rutegård; Malin Båtsman; Lennart Blomqvist; Martin Rutegård; Jan Axelsson; Ingrid Ljuslinder; Jörgen Rutegård; Richard Palmqvist; Fredrik Brännström; Patrik Brynolfsson; Katrine Riklund
Journal:  Cancer Imaging       Date:  2020-10-31       Impact factor: 3.909

  6 in total

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