ABSTRACT
BACKGROUND AND AIMS: Despite the benefits of artificial intelligence in small-bowel (SB) capsule endoscopy (CE) image reading, information on its application in the stomach and SB CE is lacking. METHODS: In this multicenter, retrospective diagnostic study, gastric imaging data were added to the deep learning-based SmartScan (SS), which has been described previously. A total of 1069 magnetically controlled GI CE examinations (comprising 2,672,542 gastric images) were used in the training phase for recognizing gastric pathologies, producing a new artificial intelligence algorithm named SS Plus. A total of 342 fully automated, magnetically controlled CE examinations were included in the validation phase. The performance of both senior and junior endoscopists with both the SS Plus-assisted reading (SSP-AR) and conventional reading (CR) modes was assessed. RESULTS: SS Plus was designed to recognize 5 types of gastric lesions and 17 types of SB lesions. SS Plus reduced the number of CE images required for review to 873.90 (median, 1000; interquartile range [IQR], 814.50-1000) versus 44,322.73 (median, 42,393; IQR, 31,722.75-54,971.25) for CR. Furthermore, with SSP-AR, endoscopists took 9.54 minutes (median, 8.51; IQR, 6.05-13.13) to complete the CE video reading. In the 342 CE videos, SS Plus identified 411 gastric and 422 SB lesions, whereas 400 gastric and 368 intestinal lesions were detected with CR. Moreover, junior endoscopists remarkably improved their CE image reading ability with SSP-AR. CONCLUSIONS: Our study shows that the newly upgraded deep learning-based algorithm SS Plus can detect GI lesions and help improve the diagnostic performance of junior endoscopists in interpreting CE videos.
ABSTRACT
OBJECTIVES: We conducted this multicenter, retrospective cohort study aiming to evaluate the effectiveness and safety of vedolizumab (VDZ) and infliximab (IFX) in biologic-naïve patients with moderate-to-severe ulcerative colitis (UC). METHODS: Biologic-naïve patients with moderate-to-severe UC who were treated with IFX or VDZ for at least 14 weeks at three tertiary hospitals in southwest China between January 2021 and January 2023 were retrospectively included. Efficacy of the biologics was evaluated based on the steroid-free clinical remission rate, clinical remission rate, and mucosal healing rate at Weeks 14 and 52. Adverse events related to biologic use were recorded. RESULTS: Altogether 122 biologic-naïve patients with moderate-to-severe UC were included. No marked differences in the steroid-free clinical remission rate and clinical remission rate were observed between the two groups at Week 14 or Week 52 (P > 0.05). The VDZ group exhibited a higher mucosal healing rate at Week 14 compared to the IFX group (33.3% vs 16.9%, P = 0.036), while that at Week 52 did not differ between the two groups (65.6% vs 47.1%, P = 0.098). There was no statistically significant difference in the rate of adverse events between the two groups (P = 0.071). CONCLUSION: VDZ and IFX showed comparable clinical efficacy and safety profiles and can be used as viable first-line therapeutic options for biologic-naïve patients with moderate-to-severe UC.