A clinical study of quantifying index of probe-based confocal laser endomicroscopy for diagnosis of Helicobacter pylori-associated chronic atrophic gastritis
10.3760/cma.j.cn321463-20231007-00075
- VernacularTitle:探头式共聚焦激光显微内镜量化指标诊断幽门螺杆菌相关萎缩性胃炎的临床研究
- Author:
Jiaying CHEN
1
;
Di WU
;
Tong DANG
;
Bofu TANG
;
Lin LIU
;
Yujing JIA
;
Zhiwei LI
Author Information
1. 包头医学院第二附属医院消化内科，包头 014030
- Keywords:
Gastritis, atrophic;
H.pylori-associated chronic atrophic gastritis;
Probe-based confocal laser endomicroscopy;
Quantification criteria
- From:
Chinese Journal of Digestive Endoscopy
2024;41(6):465-471
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To quantify the diagnostic index of probe-based confocal laser endomicroscopy (pCLE) for diagnosing Helicobacter pylori ( HP)-associated chronic atrophic gastritis (HpCAG), and to evaluate the efficacy of the quantified diagnostic index for HpCAG. Methods:The study was divided into two stages. The first stage prospectively included patients undergoing gastroscopy, endoscopic biopsy and 13C breath test from November 2021 to September 2022 at the Second Affiliated Hospital of Baotou Medical College. The capillary diameter (CD), cells spacing (CS), gland spacing (GS), and gland area (GA) in the pCLE field of offline video was measured with Image J. The diagnostic criteria of HpCAG by quantitative indicators under pCLE was established by analyzing the area under the receiver operating characteristic (ROC) curve (AUC). In the second stage, the cases with pCLE examination and 13C breath test at the Second Affiliated Hospital of Baotou Medical College from October 2021 to October 2022 were included. The cases that overlapped with the first stage were excluded. The trial was single-blind, with endoscopists and pathologists blind to each other's diagnoses. The diagnosis of pCLE was conducted according to the criteria obtained in the first stage, and the consistency between pCLE diagnosis and the results of histopathology and 13C breath test was analyzed. Results:The first stage enrolled 191 specimens from 35 patients. According to the pathological results of endoscopic biopsy and 13C breath test results, patients and gastric mucosa samples were divided into 4 groups, HP-positive CAG group ( n=59), HP-positive non-CAG group ( n=52), HP-negative CAG group ( n=40), and HP-negative non-CAG group ( n=40). ROC curve analysis results showed that in HP-positive patients, the optimal critical value of GS to distinguish between CAG and non-CAG gastric mucosa was 29.68 μm, and the AUC was the largest among the 4 parameters. In HP-negative patients, the optimal critical value of GS for distinguishing gastric mucosa from CAG and non-CAG was 23.57 μm, and the AUC was the largest among the 4 parameters. In patients with non-CAG, the optimal critical value for GS to distinguish HP-positive and HP-negative gastric mucosa was 20.57 μm, and the AUC was the largest among the 4 parameters. In patients with CAG, the optimal critical values of CD, CS, GS and GA to distinguish between HP-positive and HP-negative gastric mucosa were 13.23 μm, 1.38 μm, 34.03 μm and 6 066.5 μm 2, respectively, and the AUC were 0.608, 0.888, 0.849 and 0.900, respectively. Finally, GS was selected to distinguish between HpCAG and non-HpCAG gastric mucosa, and the optimal critical value was 31.71 μm. However, considering that it was difficult to measure the distance of 31.71 μm by the ruler below the image, the critical value was changed to 30 μm, so GS>30 μm was used as the diagnostic criteria for HpCAG in pCLE, and the diagnostic sensitivity and the specificity were 91.5% and 76.0%, respectively. In the second phase 224 specimens from 80 patients were observed. The sensitivity, the specificity, the positive predictive value, the negative predictive value and accuracy of pCLE (GS>30 μm) in the diagnosis of HpCAG were 96.5% (164/170), 88.9% (48/54), 96.5% (164/170), 88.9% (48/54) and 94.6% (212/224), respectively, with excellent diagnostic agreement with histopathology and 13C breath test (Kappa=0.854). Conclusion:The quantitative monitoring of gastric mucosal microstructure can be achieved under pCLE, and the quantifying indicators are helpful to improve the accuracy of HpCAG diagnosis.
