Among these methods, the specificity and sensitivity of serological tests are poor, and increases in indexes mostly appear in advanced gastric cancer, causing this approach to be used more often as an auxiliary indicator for diagnosing advanced gastric cancer and monitoring for recurrence and progression after gastric cancer surgery in clinical work. Therefore, the early detection, early diagnosis, and early treatment of gastric cancer are essential.Ĭurrently, the methods for diagnosing gastric cancer mainly include serology, imaging, and endoscopic biopsy. The 5-year survival rate of gastric cancer is low, at approximately 25%-30%, but the 5-year survival rate of early gastric cancer (EGC) is 90%, much higher than the rate of 15% for advanced gastric cancer. China is a country with a high incidence of gastric cancer, accounting for approximately 50% of all incident cases of gastric cancer and cases of related mortality globally. According to the latest statistics, there were approximately 1,033,000 new gastric cancer cases and 783,000 related deaths in the world in 2018, ranking gastric cancer sixth in incidence and third in mortality among malignancies. Gastric cancer is one of the most common malignancies in the world, and its incidence and mortality rates continue to be high, making it a serious threat to human health. The integral energy ratio of the Raman spectrum could be considered an effective indicator for the diagnosis of EGC. Considering the integral energy ratio (noncontinuous frequency band and continuous frequency band) as a diagnostic indicator, the accuracy, sensitivity, and specificity of diagnosing EGC were 99.2-99.6%, 93.9-97.0%, and 95.5%, respectively. Considering the peak intensity ratio of I1560 cm -1/I1103 cm -1 as a diagnostic indicator, the accuracy, sensitivity, and specificity of diagnosing EGC were 98.8%, 93.9%, and 91.9%, respectively. Comparing the peak intensity ratio and the integral energy ratio of the lesional tissues with those of the nonlesional tissues revealed a significant difference between the two groups (independent-samples -test, ). Compared with the peaks corresponding to nonlesional tissues, the peaks of the lesional tissues shifted by different magnitudes, and a new characteristic peak at 1324 cm -1 was observed. After the preprocessing steps, the average Raman spectrum was obtained. Specimens were collected by endoscopic submucosal dissection from 13 patients with EGC, and 55 sets of standard Raman spectral data (each integrated 10 times) were obtained using the fiber optic Raman system there were 33 sets of lesional tissue data, including 18 sets of high-grade intraepithelial neoplasia (HGIN) data and 15 sets of adenocarcinoma data, and 22 sets of nonlesional tissue data. To identify lesional and nonlesional tissues from early gastric cancer (EGC) patients by Raman spectroscopy to build a diagnostic model and effectively diagnose EGC.