Research Interest

Endoscopic Diagnosis and Treatment for Gastric Cancer and Esophageal Cancer

Serum Biomarker for Diagnostics & Therapeutics in Gastric Cancer and Esophageal Cancer

Computer-Aided Diagnosis Using Artificial Intelligence for Endoscopic Images

Research Summary

Kim’s main research interests are endoscopic imaging (including magnifying endoscopy), endosonography, and endoscopic treatment for gastric cancer and esophageal cancer. To elucidate the long-term safety of endoscopic treatment for esophageal and gastric cancer, a propensity-matching analysis between endoscopic treatment and surgery is on-going. To catch up the early diagnosis and individualized therapy in patients with gastric cancer and esophageal cancer, studies for circulating tumor cells and EMT markers in these patients were already published. Recently, studies about detection of circulating tumor cell, exosome, miRNA, and ctDNA are also on-going. In addition, computer-aided diagnosis algorithms for analyzing gastric subepithelial tumors and early esophageal cancer were recently published. Furthermore, algorithms for differentiation of H. pylori gastritis from normal stomach and prediction of histopathology and invasion depth in early gastric cancer will be also developed based on the deep-learning methods.

Selected publication

1. Lee HJ, Kim GH, Park SJ, et al. Clinical Significance of TWIST-Positive Circulating Tumor Cells in Patients with Esophageal Squamous Cell Carcinoma. Gut Liver 2020 (Epub).

2. Kim KB, Yi GY, Kim GH, Song DH, Jeon HK. Intelligent Computer-Aided Diagnostic System for Magnifying Endoscopy Images of Superficial Esophageal Squamous Cell Carcinoma. Appl Sci 2020;10:2771.

3. Kim YH, Kim GH, Kim KB, et al. Application of A Convolutional Neural Network in The Diagnosis of Gastric Mesenchymal Tumors on Endoscopic Ultrasonography Images. J Clin Med 2020;9:3162.

4. Lee MW, Kim GH, Kim KB, et al. Digital image analysis-based scoring system for endoscopic ultrasonography is useful in predicting gastrointestinal stromal tumors. Gastric Cancer 2019;22:980-987.

5. Lee MW, Kim GH, Jeon HK, et al. Clinical Application of Circulating Tumor Cells in Gastric Cancer. Gut Liver 2019;13:394-401.

6. Choi MK, Kim GH, I H, et al. Circulating tumor cells detected using fluid-assisted separation technique in esophageal squamous cell carcinoma. J Gastroenterol Hepatol 2019;34:552-560.

7. Jeon HK, Kim GH, Lee BE, et al. Long-term outcome of endoscopic submucosal dissection is comparable to that of surgery for early gastric cancer: a propensity-matched analysis. Gastric Cancer 2018;21:133-143.

8. Kang HM, Kim GH, Jeon HK, et al. Circulating tumor cells detected by lab-on-a-disc: Role in early diagnosis of gastric cancer. PLoS One 2017;12:e0180251.

9. Kim GH, Liang PS, Bang SJ, et al. Screening and surveillance for gastric cancer in the United States: Is it needed? Gastrointest Endosc 2016;84:18-28.

10. Bae JH, Kim GH, Lee BE, et al. Factors associated with the outcomes of endoscopic submucosal dissection in pyloric neoplasms. Gastrointest Endosc 2015;81:303-11.