Biomedical Research

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +44-7360-538437

Research Article - Biomedical Research (2017) Volume 28, Issue 19

Analysis of the accuracy of low-strain air-barium imaging for the early diagnosis of gastric cardia carcinoma

Objective: To analyze the accuracy of low-strain air-barium imaging for the early diagnosis of gastric cardia carcinoma.

Methods: Thirty-seven patients with early gastric cardia carcinoma, as confirmed by gastrointestinal color Doppler ultrasound, low-strain air-barium imaging, gastroscopy, and pathological examination in our hospital from February 2016 to August 2017, were included in this study. The diagnostic accordance and adverse reaction rates of gastrointestinal color Doppler ultrasound were investigated on the basis of pathological results as standard. The imaging characteristics of early gastric cardia carcinoma were examined through low-strain air-barium imaging.

Results: The diagnostic accordance rates of gastrointestinal color Doppler ultrasound and low-strain air-barium imaging were 67.57% and 91.89%, respectively, and their difference was significant (P<0.01). Gastroscopy revealed the following: 21 cases of protrusion type, 11 cases of ulcer type, and 5 cases of flat type. Color Doppler ultrasound showed the following: 16 cases of protrusion type, 6 cases of ulcer type, and 3 cases of flat type. Low-strain air-barium imaging displayed the following: 21 cases of protrusion type, 10 cases of ulcer type, and 3 cases of flat type.

Conclusion: Low-strain air-barium imaging is a noninvasive, simple, and economical technique to examine gastric tissues directly. It yields a high diagnostic rate for early gastric cardia carcinoma and causes minimal adverse reactions. Hence, it is suitable for clinical applications.

Author(s): Ji-Chao Pang, Yan-Ning Fu, Hong-Ying Fang, Qian Xiang, Ping-Huai Wang, Yu-Zhi Sun

Abstract Full Text PDF

Get the App