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Date Published: 11/07/2022
Online Published: 11/07/2022
Abstract Views: 112
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DOI: https://doi.org/10.55046/vjrnm.26.423.2016
Issue
No. 26 (2016)
Section
Scientific research
How to Cite
Pham, H. D., Bui, V. G., Nguyễn, . V. S., Hoang, D. D., Nguyen, Q. D., Do, D. C., Lam, L. K., & Le, N. H. (2022). Preoperative starging of gastric cancer by multiple detector computed tomography. Vietnamese Journal of Radiology and Nuclear Medicine, 26, 12-17. https://doi.org/10.55046/vjrnm.26.423.2016

Preoperative starging of gastric cancer by multiple detector computed tomography

Dr Pham Hong Duc1, Dr Bui Van Giang1, Dr Nguyen Van Sang2, Dr Hoan Dinh Doan3, Dr Nguyen Quoc Dung4, Dr Do Duc Cuong5, Dr Lam Khanh5, Dr Le Ngoc Ha5
1 BM College of Cardinals - Hanoi.
2 Central BVE.
3 Son La Province Hospital.
4 Viet-Soviet Friendship Hospital
5 Military Central Hospital 108.

Main Article Content

Abstract

Objective: The aim of this study was to evaluate the accuracy of multiple detector computed tomography (MDCT - BRIVO CT 385-GE Japan) in the preoperative staging of gastric cancer, prospectively comparing CT findings with pathological findings confirmed at biopsy during upper endoscopyand at surgery. A total of 74 consecutive patients with primary cancer recruited between December2015 to July 2016 were submitted to preoperative MDCT staging according to a standard protocol. All diagnostic procedures were performed by two dedicated radiologists who were unaware of the final pathological results. All
patients were diagnosed with primary gastric cancer, confirmed at biopsy during upper endoscopy. CT results for T and N
staging were in agreement with pathological findings,with overall accuracy of 83,8% (62/74) and 81,1% (60/74%, respectively.
Higher specificity for T and N earlier stages (both 100%). Higher accuracy and sensibility for all T and N stages (78,9-94,6% for T
and 80,9-96,6% for N). Our findings show a good performance of the diagnostic staging TNM performed with MDCT.

Article Details

Keywords

Gastric Cancer, MDCT, Staging, Oncologic Imaging

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