Quantitative Evaluation of the Invasion Depth of Colorectal Cancer Located on a Colorectal Fold Through the Width of Colorectal-Fold Lateral Contour Using a Lateral Split-View Computed Tomographic Air-Contrast Enema Image
Mitsutoshi Miyasaka, Toshio Muraki, Yusuke Nishimuta, Eiji Oki, Kousei Ishigami, Daisuke Tsurumaru

TL;DR
This study shows that measuring the width of a specific contour in CT images can help determine how deep colorectal cancer has invaded when it's located on a fold in the colon.
Contribution
The first demonstration that quantifying the lateral contour width in CT enema images improves depth-of-invasion diagnosis for fold-located colorectal cancer.
Findings
T1b/more deeply invading CRCs had significantly larger lateral contour widths (12.1 mm) than intramucosal/T1a CRCs (3.3 mm).
A 6 mm cut-off value achieved 92.9% sensitivity and 87.5% specificity for differentiating invasion depths.
High inter-rater reliability (intraclass correlation coefficient of 0.949) was observed for the measurements.
Abstract
Purpose: The aim of the study was to investigate the usefulness of quantitatively evaluating the width of lateral contour on a lateral split-view computed tomographic air-contrast enema (CT enema) image to diagnose the invasion depth of colorectal cancer (CRC) located on a colorectal fold. Methods: The cases of 22 patients with 22 fold-located CRCs, that is, 12 (54.5%) early CRCs and 10 (45.5%) advanced CRCs, who underwent a pretherapeutic CT colonography, were retrospectively examined. T1-stage CRCs were classified into two categories according to the Japanese guideline: T1a-stage (carcinoma invading the superficial submucosa (<1000 μm)) and T1b-stage (carcinoma invading the deeper submucosa (≧1000 μm)). The maximum width of colorectal-fold lateral contour on which the CRC was located, i.e., the gap distance between the two adjacent haustrations, was calculated from the lateral…
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Taxonomy
TopicsColorectal Cancer Surgical Treatments · Radiomics and Machine Learning in Medical Imaging · Colorectal Cancer Screening and Detection
