Diagnosing malignant distal bile duct obstruction using artificial intelligence based on clinical biomarkers.

Diagnosing distal bile duct obstruction remains challenging. This study aimed to examine the diagnostic ability of artificial intelligence (AI) based on clinical biomarkers in diagnosing malignant distal bile duct obstruction. A total of 206 patients with distal bile duct obstruction were included in this study. Clinical laboratory parameters were collected from the patients and evaluated using AI. All clinical parameters were input into the AI algorithm, and the AI value for malignant distal bile duct obstruction was calculated. The benign and malignant diagnostic capabilities of AI and other factors (alkaline phosphatase [ALP], intrahepatic bile duct [IHBD] diameters, and total bile duct [CBD] diameters) were compared. Benign and malignant bile duct obstruction were diagnosed in 142 and 64 patients, respectively. The median AI value of malignant distal bile duct obstruction was significantly greater than that of benign distal bile duct obstruction (0.991 vs. 0.002, p < 0.001). The area under the receiver operating characteristic curve of AI, ALP, IHBD diameter, and CBD diameter were 0.908, 0.795, 0.794, and 0.775, respectively. AI showed a sensitivity, specificity, and accuracy of 83.1%, 87.2%, and 85.9%. AI-based on clinical biomarkers could serve as an auxiliary for diagnosing malignant bile duct obstruction.

Computed diffusion-weighted magnetic resonance imaging with high b-values in the diagnosis of gallbladder lesions.

PURPOSE: The diagnosis of gallbladder lesions remains challenging. The efficacy of computed diffusion-weighted imaging (DWI) with high b-values and apparent diffusion coefficient (ADC) for the diagnosis of gallbladder cancer remains unknown. We aimed to investigate the usefulness of computed DWI with high b-values and the combination of computed DWI and ADC in differentiating malignant and benign gallbladder lesions. METHODS: Sixty patients (comprising 30 malignant and 30 benign lesions) who underwent magnetic resonance imaging for gallbladder lesions were included in this retrospective study. Qualitative evaluations were performed using conventional DWI with b1000, computed DWI with b1500, b1000 DWI/ADC, and computed b1500 DWI/ADC, and their diagnostic performances were compared. RESULTS: The sensitivity, specificity, and accuracy of computed b1500 DWI/ADC were 90% (27/30), 80% (24/30), and 85% (51/60), respectively. The accuracy of computed b1500 DWI/ADC was higher than that of conventional b1000 DWI (52%, 31/60, p < 0.001), computed b1500 DWI (72%, 43/60, p = 0.008), and b1000 DWI/ADC (78%, 47/60, p = 0.125). The specificity of computed b1500 DWI/ADC was also higher than that of conventional b1000 DWI (7%, 2/30, p < 0.001), computed b1500 DWI (47%, 14/30, p = 0.002), and b1000 DWI/ADC (67%, 20/30, p = 0.125). No significant difference was observed in the sensitivity between the groups. CONCLUSION: This study shows that computed DWI with high b-values combined with ADC can improve diagnostic performance when differentiating malignant and benign gallbladder lesions. Computed diffusion-weighted magnetic resonance imaging with high b-values in the diagnosis of gallbladder lesions. *Computed DWI with b1500 combined with ADC can improve diagnostic performance when differentiating gallbladder lesions compared with conventional methods (b1000 DWI).

Prognostic Impact of Sarcopenia in Patients With Biliary Tract Cancer Undergoing Chemotherapy.

AIM: Sarcopenia affects the treatment of various cancer types but its impact on chemotherapy efficacy and prognosis in biliary tract cancer remains unclear. Thus, we evaluated whether sarcopenia independently affects the outcome of chemotherapy for biliary tract cancer. PATIENTS AND METHODS: Data of 50 patients who underwent chemotherapy for biliary tract cancer at two affiliated centres were retrospectively analysed. The association of clinical factors, including sarcopenia, with overall survival and time to treatment failure was analysed. RESULTS: Sarcopenia was an independent factor negatively influencing overall survival and time to treatment failure in univariate and multivariate analyses (median overall survival, sarcopenic vs. non-sarcopenic patients: 10.6 vs. 16.6 months; hazard ratio=2.19, p=0.018; time to treatment failure: 5.3 vs. 13.1 months, hazard ratio=2.50, p=0.019). CONCLUSION: Sarcopenia may affect the efficacy of chemotherapy and prognosis in biliary tract cancer. Thus, improving sarcopenia may improve the prognosis of patients with biliary tract cancer undergoing chemotherapy.