128 slices multidetector CT evaluation of Gastric carcinoma - Imaging and histopathological correlation

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128 slices multidetector CT evaluation of Gastric carcinoma - Imaging and histopathological correlation

Journal Title: International Archives of Integrated Medicine - Year 2019, Vol 6, Issue 4

Abstract

Background: Multi-detector CT (MDCT) of the stomach is the first-line imaging for patients with suspected gastric pathologies. Hence, the study was conducted to explore the characteristics of variously differentiated gastric cancers on 128 slices multi-detector computed tomography (CT). Material and methods: This prospective observational study was approved by our institutional review board, and informed consent was waived from January 2016 to January 2017. All the patients were selected by convenience sampling. All patients underwent an endoscopic biopsy that provided histologic confirmation carcinoma in the remnant stomach. CT examinations on a 128 slice CT scanner with a 0.7-second tube rotation (GE OPTIMA CT 660) were performed. The fasting time of at least six hours was recommended to patients for complete gastric emptying. Results: A total of 26 people were included in the final analysis. The mean age was 56 ± 11.96 in the study population. 13(50%) participants were male and remaining 13(50%) were female. Most cancers were Adenocarcinomas and diffuse of higher grade and nodal involvement. Among the study population, 3(11.54%) participants were with T3 tumor stage, and 23(88.46%) were with T4 tumor stage. 13(50%) participants had nodal stage1, 10(38.46%) had nodal stage 2 and remaining 3(11.54%) had nodal stage 3. 15(57.69%) had M0 metastasis, and 11(42.31%) had M1 metastasis. 23(88.46%) Participants had overall stage 1V and remaining 3(11.54%) participants had stage IIIC as detected in CT. 18(69.23%) participants had surgery and the remaining 8(30.77%) underwent chemotherapy. Conclusion: Stomach Multi-detector CT imaging is a functional imaging technology with potential clinical applications.

Authors and Affiliations

S Yogaraj, M. Senthil Kumar

Keywords

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EP ID EP675260
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