Pre-operative Tumor Assessment of Patients with Gastric Cancer Based on Virtual Endoscopy Using Multidetector-row Computer Tomography

Background: The possibilities and limitations of computer tomography (CT) examination for detecting primary gastric cancer tumors have been poorly understood. The aim of the present study was to evaluate the pre-operative assessment of gastric cancer tumors using 32-multidetector row-CT. Patients an...

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Bibliographic Details
Published in:Anticancer research 2006-11, Vol.26 (6C), p.4641-4645
Main Authors: KIKUCHI, Shiro, FUTAWATARI, Nobue, SAKURAMOTO, Shinichi, WATANABE, Masahiko, KUBOTA, Katsumi, SASAKI, Mayumi, MURATA, Koichiro, KIDA, Mitsuhiro
Format: Article
Language:English
Subjects:
Adenocarcinoma - diagnosis
Adenocarcinoma - pathology
Adult
Aged
Aged, 80 and over
Biological and medical sciences
Endoscopy, Gastrointestinal - methods
Female
Gastroenterology. Liver. Pancreas. Abdomen
Humans
Imaging, Three-Dimensional - methods
Male
Medical sciences
Middle Aged
Neoplasm Staging
Preoperative Care
Prospective Studies
Stomach Neoplasms - diagnosis
Stomach Neoplasms - pathology
Stomach. Duodenum. Small intestine. Colon. Rectum. Anus
Tomography, X-Ray Computed - methods
Tumors
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Summary:Background: The possibilities and limitations of computer tomography (CT) examination for detecting primary gastric cancer tumors have been poorly understood. The aim of the present study was to evaluate the pre-operative assessment of gastric cancer tumors using 32-multidetector row-CT. Patients and Methods: A prospective study of the pre-operative assessment of gastric cancer tumors using 32-multidetector row-CT was carried out. Seventy-four patients with adenocarcinoma of the stomach (T1 tumors, 38; T2 and T3 tumors, 36) underwent abdominal CTs to assess the feasibility of using MD-CT to assess primary lesions. Results: In 35 (47%) out of the 74 patients, the primary lesions could be detected on 2-D images obtained by CT. In these patients, virtual endoscopic images of these tumors could be created. Twenty-seven advanced cancer tumors (75%) were assessed based on 2-D CT images and 27 larger tumors (>40 mm) (69%) were assessed based on 2-D CT images. Significant differences were found with respect to depth of tumor (p
ISSN:0250-7005
1791-7530