Literature DB >> 19487467

Differentiation between malignant and benign gastric ulcers: CT virtual gastroscopy versus optical gastroendoscopy.

Chiao-Yun Chen1, Yu-Ting Kuo, Chien-Hung Lee, Tsyh-Jyi Hsieh, Chang-Ming Jan, Twei-Shiun Jaw, Wan-Ting Huang, Fang-Jung Yu.   

Abstract

PURPOSE: To retrospectively compare computed tomographic virtual gastroscopy (VG) and conventional optical gastroendoscopy for the differentiation of malignant and benign gastric ulcers.
MATERIALS AND METHODS: The institutional review board approved this study and confirmed that informed consent was not required. Gastric ulcers in 115 patients (mean age, 64.7 years; range, 31-86 years; 61 men, 54 women) were evaluated by using endoscopy and VG. Ulcer shape, base, and margin and periulcer folds were evaluated by two independent reviewers. Malignant gastric ulcers were identified by irregular, angulated, or geographic shape; uneven base; irregular or asymmetric edges; and disrupted or moth-eaten appearance of periulcer folds near the crater edge and/or clubbed or fused folds. Benign gastric ulcers were identified by smooth and regular shapes, even bases, clearly demarcated and regular edges, and folds that tapered and converged toward the ulcer. The performance of VG and endoscopy for the diagnosis of benign and malignant gastric ulcers was evaluated by using histopathologic results as the reference standard. The McNemar test was used to compare VG and endoscopic data. A P value less than .05 was considered to indicate a significant difference.
RESULTS: At histopathologic examination, 39 gastric ulcers were benign, while 76 were malignant. VG and endoscopy had sensitivities of 92.1% (70 of 76) and 88.2% (67 of 76), respectively, for overall diagnosis of malignant gastric ulcers, and specificities of 91.9% (34 of 37) and 89.5% (34 of 38), respectively, for overall diagnosis of malignant gastric ulcers. Endoscopy was more sensitive in depicting malignancy according to ulcer base (85.5% [65 of 76] vs 68.4% [52 of 76]) (P = .034), and VG was more specific in depicting malignancy according to ulcer margin (78.4% [29 of 37] vs 63.2% [24 of 38]) (P = .034).
CONCLUSION: VG and endoscopy were almost equally useful in distinguishing between malignant and benign gastric ulcers. SUPPLEMENTAL MATERIAL: http://radiology.rsnajnls.org/cgi/content/full/2522081249/DC1.

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Year:  2009        PMID: 19487467     DOI: 10.1148/radiol.2522081249

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

Review 1.  MDCT imaging of the stomach: advances and applications.

Authors:  Prashant Nagpal; Anjali Prakash; Gaurav Pradhan; Aditi Vidholia; Nishant Nagpal; Sachin S Saboo; David M Kuehn; Ashish Khandelwal
Journal:  Br J Radiol       Date:  2016-12-08       Impact factor: 3.039

2.  Differentiation Between Malignant and Benign Endoscopic Images of Gastric Ulcers Using Deep Learning.

Authors:  Eyal Klang; Yiftach Barash; Asaf Levartovsky; Noam Barkin Lederer; Adi Lahat
Journal:  Clin Exp Gastroenterol       Date:  2021-05-05

3.  Gastric ulcer revealed by computed tomography in a patient with tongue cancer after percutaneous gastrostomy.

Authors:  Masafumi Mizuide; Satoru Kakizaki; Sachiko Yoshida; Masatomo Mori
Journal:  Case Rep Gastroenterol       Date:  2011-04-06

4.  A nanomaterial-based breath test for distinguishing gastric cancer from benign gastric conditions.

Authors:  Z-q Xu; Y Y Broza; R Ionsecu; U Tisch; L Ding; H Liu; Q Song; Y-y Pan; F-x Xiong; K-s Gu; G-p Sun; Z-d Chen; M Leja; H Haick
Journal:  Br J Cancer       Date:  2013-03-05       Impact factor: 7.640

5.  Volatile organic metabolites identify patients with gastric carcinoma, gastric ulcer, or gastritis and control patients.

Authors:  Hongshuang Tong; Yue Wang; Yue Li; Shujuan Liu; Chunjie Chi; Desheng Liu; Lei Guo; Enyou Li; Changsong Wang
Journal:  Cancer Cell Int       Date:  2017-11-21       Impact factor: 5.722

6.  Risk factors for postoperative sepsis in patients with gastrointestinal perforation.

Authors:  Xin Xu; Hai-Chang Dong; Zheng Yao; Yun-Zhao Zhao
Journal:  World J Clin Cases       Date:  2020-02-26       Impact factor: 1.337

  6 in total

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