Literature DB >> 25260599

The value of pre-operative computed tomography scanning for the assessment of lymph node status in patients with colon cancer.

F E E de Vries1, D W da Costa1, K van der Mooren2, T A van Dorp2, B C Vrouenraets3.   

Abstract

AIM: Our aim was to determine the value of a pre-operative computed tomography (CT) scan for the assessment of lymph node status in patients diagnosed with colon cancer by comparing radiological N-stage to histopathological N-stage. PATIENTS AND METHODS: We performed a retrospective cohort study at the Sint Lucas Andreas Hospital in Amsterdam, the Netherlands. Between 2008 and 2010, two radiologists independently reviewed all pre-operative CT scans of patients diagnosed with colon cancer. The scans were examined for signs of regional lymphatic spread (N+), defined as lymph nodes exceeding 1 cm, clusters of ≥ 3 lymph nodes or a combination of the two. The results were compared with the histopathological N-stage. Inter-observer agreement, positive predictive value (PVV), negative predictive value (NPV), sensitivity, specificity, and accuracy were calculated.
RESULTS: We included 106 patients in our study. PVV, NPV, sensitivity, specificity, and accuracy of detecting regional lymph nodes metastases were 47%, 66%, 71%, 41% and 54%, respectively. Inter-observer agreement was 74.5% (к = 0.48).
CONCLUSION: Although our study group was relatively large and newer techniques were used in comparison to previous studies, our results demonstrated that the value of a pre-operative CT scan for the assessment of regional lymph nodes remained poor and unreliable. Therefore we question if a radiologist should assess regional lymph nodes on a pre-operative CT scan in colon cancer. Before treatment decisions are made on the appearance of lymph nodes in colon cancer patients, its diagnostic accuracy needs strong improvement.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accuracy; Colonic neoplasms; Computed tomographic; Lymph nodes; Neoplasm metastasis; Staging

Mesh:

Year:  2014        PMID: 25260599     DOI: 10.1016/j.ejso.2014.08.483

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  9 in total

1.  Radiomics signature for the preoperative assessment of stage in advanced colon cancer.

Authors:  Yu Li; Aydin Eresen; Yun Lu; Jia Yang; Junjie Shangguan; Yury Velichko; Vahid Yaghmai; Zhuoli Zhang
Journal:  Am J Cancer Res       Date:  2019-07-01       Impact factor: 6.166

2.  Assessment and diagnostic accuracy of lymph node status to predict stage III colon cancer using computed tomography.

Authors:  Erik Rollvén; Mirna Abraham-Nordling; Torbjörn Holm; Lennart Blomqvist
Journal:  Cancer Imaging       Date:  2017-01-19       Impact factor: 3.909

3.  Tumor and nodal staging of colon cancer: accuracy of preoperative computed tomography at a Swedish high-volume center.

Authors:  Kevin Korsbakke; Cecilia Dahlbäck; Niklas Karlsson; Sophia Zackrisson; Pamela Buchwald
Journal:  Acta Radiol Open       Date:  2019-12-30

4.  In-House Validated Map of Lymph Node Stations in a Prospective Cohort of Colorectal Cancer: A Tool for a Better Preoperative Staging.

Authors:  Patricia Simu; Ioan Jung; Laura Banias; Zsolt Zoltan Fulop; Tivadar Bara; Iunius Simu; Sebastian Andone; Raluca Ioana Stefan-van Staden; Catalin Bogdan Satala; Ioana Halmaciu; Simona Gurzu
Journal:  J Oncol       Date:  2022-03-19       Impact factor: 4.375

5.  Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Authors:  Aydin Eresen; Yu Li; Jia Yang; Junjie Shangguan; Yury Velichko; Vahid Yaghmai; Al B Benson; Zhuoli Zhang
Journal:  Cancer Imaging       Date:  2020-04-25       Impact factor: 3.909

6.  Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer.

Authors:  Shi-Song Miao; Yuan-Fei Lu; Hai-Yan Chen; Qing-Meng Liu; Jie-Yu Chen; Yao Pan; Ri-Sheng Yu
Journal:  Oncol Lett       Date:  2020-03-10       Impact factor: 2.967

7.  A study of radiomics parameters from dual-energy computed tomography images for lymph node metastasis evaluation in colorectal mucinous adenocarcinoma.

Authors:  Yingying Liu; Yafang Dou; Fang Lu; Lei Liu
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.817

Review 8.  Clinical TNM staging for esophageal, gastric, and colorectal cancers in the era of neoadjuvant therapy: A systematic review of the literature.

Authors:  Hideaki Shimada; Takeo Fukagawa; Yoshio Haga; Shin-Ichi Okazumi; Koji Oba
Journal:  Ann Gastroenterol Surg       Date:  2021-02-18

9.  Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation.

Authors:  Shuli Hu; Man Luo; Yaling Li
Journal:  Cancer Manag Res       Date:  2021-06-17       Impact factor: 3.989

  9 in total

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