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. 2023 Sep 13;13(18):2933. doi: 10.3390/diagnostics13182933

Table 3.

Most relevant studies on the diagnostic role of cholangioscopy in biliary disease.

First Author Year of Pubblication Number of Patients Typology of Study Main Results of the Study
Sethi A. [23] 2022 40 Two-phase validation study Validation of the Monaco Classification for the use of DSOC in BS. Eight visual criteria were identified and global diagnostic accuracy was 70%.
Robles-Medranda C. [24] 2018 171 Observational, analytical, case-crossover, ambispective, diagnostic study Validation of a novel classification for the use of DSOC in BS. High reproducibility (k > 80%) and sensitivity of 96.3% for neoplastic diagnosis.
Kahaleh M [25] 2022 50 Validation study Validation of the Mendoza classification for the use of DSOC in BS. Five revised visual criteria were identified. Agreement was almost perfect and the overall accuracy was 77%.
De Oliveira P [28] 2020 283 Systematic review and meta-analysis The overall pooled sensitivity and specificity of DSOC in the visual interpretation of malignant BS were 94% and 95%.
Fugazza A [30] 2022 381 Prospective, multicenter This real-world study evaluated the efficacy of POC for evaluation of BS and treatment of DBS. Overall procedure success was 96.7%. Sensitivity of visual impression for malignant BS was superior to cholangioscopy-guided biopsies (88.5% vs. 80.2%).
De Vries A.B [31] 2020 80 Retrospective, single center This study highlighted the limited diagnostic use of POC in specific situations such as PSC and previous placement of biliary stent.
Gerges C [32] 2020 60 Randomized controlled trial DSOC-guided biopsy samples were superior to ERCP-guided brushing (68.2% vs. 21.4%) for diagnosis of malignant hilar stricture.
Saraiva MM [40] 2022 85 Pilot validation study The authors developed, trained, and validated a CNN based on DSOC images. The model had an overall accuracy of 94.9% for differentiating malignant BS from benign BS.
Robles-Medranda C [41] 2023 Phase 1: 48 patients
Phase 2: 116 patients
Two-stage validation study Validation of a CNN model for identification of neoplasia in indeterminate BS. The model showed a good accuracy in distinguishing neoplastic lesions.
Zhang X [43] 2023 150 Multicenter diagnostic study Validation of a novel AI model, MBSDeiT, which accurately identified 92.3% of malignant BS in prospective testing videos.
Anderloni A [44] 2019 36 Retrospective, single center This study showed the efficacy of D-POC for the evaluation of complete clearance of CBD after removal of DBS.
Arnelo U [45] 2015 47 Prospective, single center Study performed on patients with PSC showing the limited sensitivity of DSOC for malignant BS.

DSOC, digital single-operator cholangioscopy; BS, biliary stricture; POC, peroral cholangioscopy; CNN, convolutional neural network; CBD, common bile duct; DBSs, difficult bile stones; PSC, primary sclerosing cholangitis.