Inter-rater agreement between radiologists using the novel CT-TDV (T3c+; tumour deposits; EMVI) system in patients with potentially curable right colon cancer
Author(s)
Type
Journal Article
Abstract
Objectives:
The novel CT-TDV scoring system, identifying T3c + disease; the presence/absence of tumour deposits and EMVI has been shown to be superior in predicting prognosis when compared to the CT-TNM staging system in the evaluation of colon cancer. Reproducibility of this scoring system between specialist GI radiologists has not been assessed previously. The aim of this study was to assess the inter-rater agreement of gastrointestinal radiologists in assessing the novel pre-operative CT-TDV scoring of patients with potentially curable right-sided colon cancer.
Methods:
Ninety-three right colon cancer pre-operative CT scans were graded as CT TDV “good” versus TDV “poor” by four radiologists. Inter-rater agreement was assessed using the intraclass correlation coefficient (ICC) between all four readers and individual readers against the central radiologist using Cohen’s κ statistic.
Results:
The ICC comparing those graded as TDV “good” versus TDV “poor” for all 93 cases was 0.61 (0.51–0.70) indicating moderate reliability. Individual κ scores across the 93 cases were 0.76, 0.59 and 0.59 (p < 0.001) indicating moderate to substantial agreement.
Conclusion:
The CT TDV scoring system is reproducible amongst trained gastrointestinal radiologists in the assessment of newly diagnosed right colon cancer.
Advances in knowledge:
This further validates the clinical utility of the CT TDV scoring system as a prognostic tool to guide the management of patients with potentially curable right colon cancer.
The novel CT-TDV scoring system, identifying T3c + disease; the presence/absence of tumour deposits and EMVI has been shown to be superior in predicting prognosis when compared to the CT-TNM staging system in the evaluation of colon cancer. Reproducibility of this scoring system between specialist GI radiologists has not been assessed previously. The aim of this study was to assess the inter-rater agreement of gastrointestinal radiologists in assessing the novel pre-operative CT-TDV scoring of patients with potentially curable right-sided colon cancer.
Methods:
Ninety-three right colon cancer pre-operative CT scans were graded as CT TDV “good” versus TDV “poor” by four radiologists. Inter-rater agreement was assessed using the intraclass correlation coefficient (ICC) between all four readers and individual readers against the central radiologist using Cohen’s κ statistic.
Results:
The ICC comparing those graded as TDV “good” versus TDV “poor” for all 93 cases was 0.61 (0.51–0.70) indicating moderate reliability. Individual κ scores across the 93 cases were 0.76, 0.59 and 0.59 (p < 0.001) indicating moderate to substantial agreement.
Conclusion:
The CT TDV scoring system is reproducible amongst trained gastrointestinal radiologists in the assessment of newly diagnosed right colon cancer.
Advances in knowledge:
This further validates the clinical utility of the CT TDV scoring system as a prognostic tool to guide the management of patients with potentially curable right colon cancer.
Date Issued
2023-06-01
Date Acceptance
2023-02-21
Citation
British Journal of Radiology, 2023, 96 (1146)
ISSN
0007-1285
Publisher
British Institute of Radiology
Journal / Book Title
British Journal of Radiology
Volume
96
Issue
1146
Copyright Statement
© 2023 The Authors. Published by the British Institute of Radiology under
the terms of the Creative Commons Attribution 4.0 Unported License
http://creativecommons.org/licenses/by/4.0/, which permits unrestricted
use, distribution and reproduction in any medium, provided the original
author and source are credited.
the terms of the Creative Commons Attribution 4.0 Unported License
http://creativecommons.org/licenses/by/4.0/, which permits unrestricted
use, distribution and reproduction in any medium, provided the original
author and source are credited.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000998580100015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
ACCURACY
COMPUTED-TOMOGRAPHY
FEATURES
Life Sciences & Biomedicine
Radiology, Nuclear Medicine & Medical Imaging
Science & Technology
Publication Status
Published
Article Number
20220682
Date Publish Online
2023-04-12