Delineating the extent of esophageal squamous cell carcinoma

Artificial intelligence for detecting and delineating the extent of superficial esophageal squamous cell carcinoma and precancerous lesions under narrow-band imaging (with video)

BACKGROUND AND AIMS

Although narrow-band imaging (NBI) is a useful modality for detecting and delineating esophageal squamous cell carcinoma (ESCC), there is a risk of incorrectly determining the margins of some lesions even with NBI. This study aimed to develop an artificial intelligence (AI) system for detecting superficial ESCC and precancerous lesions and delineating the extent of lesions under NBI.

METHODS

Nonmagnified NBI images from 4 hospitals were collected and annotated. Internal and external image test datasets were used to evaluate the detection and delineation performance of the system. The delineation performance of the system was compared with that of endoscopists. Furthermore, the system was directly integrated into the endoscopy equipment, and its real-time diagnostic capability was prospectively estimated.

RESULTS

The system was trained and tested using 10,047 still images and 140 videos from 1112 patients and 1183 lesions. In the image testing, the accuracy of the system in detecting lesions in internal and external tests was 92.4% and 89.9%, respectively. The accuracy of the system in delineating extents in internal and external tests was 88.9% and 87.0%, respectively. The delineation performance of the system was superior to that of junior endoscopists and similar to that of senior endoscopists. In the prospective clinical evaluation, the system exhibited satisfactory performance, with an accuracy of 91.4% in detecting lesions and an accuracy of 85.9% in delineating extents.

CONCLUSIONS

The proposed AI system could accurately detect superficial ESCC and precancerous lesions and delineate the extent of lesions under NBI.

Demarcation of early esophageal squamous cell carcinoma during endoscopic submucosal dissection: A comparison study between Lugol's iodine staining and narrow-band imaging

Lugol's iodine staining (LIS) and narrow-band imaging (NBI) are currently the most common methods applied in demarcating early esophageal squamous cell carcinoma (EESCCs) during endoscopic submucosal dissection. The purpose of the present study was to investigate the effects on clinical outcomes in comparison between LIS and NBI for the demarcation of EESCCs during endoscopic submucosal dissection.This was a single-center, retrospective, cohort study. A total of 172 patients were involved. 109 patients received demarcation of the lesion by LIS and 63 patients by NBI. Data on baseline characteristics, clinical outcomes and follow-up information were collected for analyses.The mean diameter of the lesions was 3.9 ± 1.5 cm. R0 resection rate was 89.5%. The rate of total and in-hospital adverse events was 25.6% and 9.3%. The cumulative recurrence rate was 2.9% and 3-year disease-specific survival rate was 98.3%. Compared to patients of the LIS group, patients of the NBI group showed significantly shorter procedure time (44.8 ± 32.2 v.s.57.0 ± 40.6, P = .044), lower rate of using of scopolamine butylbromide (19.0% vs 35.8%, P = 0.021), reduced number of clips used (1.3 ± 1.2  vs 1.8 ± 1.5, P = .017) and alleviated discomfort evaluated by visual analog system score after operation (4.7 ± 0.8 vs 5.5 ± 1.0, P < .001). There was no significant difference of R0 resection rate, margin status, adverse events, cumulative recurrence rate and 3-year disease-specific survival rate between the two groups.Demarcation of EESCCs by NBI could achieve comparable accuracy and clinical outcomes with more convenience and safety compared with demarcation by LIS.