Choledochojejunostomy is a common surgical method for the treatment of organ diseases such as hepatobiliary, gastrointestinal and pancreatic diseases, but there are many complications related to the operation. Benign biliary-enteric anastomosis stricture (BBES) is the most common long-term complication after operation, which seriously affects the quality of life of patients. At present, bile duct reconstruction and endoscopic treatment are the main methods to deal with BBES, but there are some limitations. The new interventional therapy has the advantages of small trauma, good repeatability, high success rate and few complications. It has been applied in many medical centers. The main treatment methods include percutaneous transhepatic biliary balloon dilatation, percutaneous temporary stent placement, percutaneous transhepatic choledochoscopy, magnetic compression anastomosis and intrabiliary ablation. Up to now, there is no uniform standard for the choice of interventional therapy for BBES at home and abroad, so it is of great clinical significance to establish a standardized interventional therapy strategy.

Objective:This study was aimed to explore the structural changes of grey matter (GM) in drug-naive patients with first-onset major depressive disorder (MDD) by using deformation-based morphometry (DBM) and the possible imaging biomarkers for early diagnosis of MDD.Methods:3D T 1-weighted structural MRI scans were performed on 38 MDD patients and 65 healthy controls (HCs), matched with age and gender. DBM and region of interests (ROIs) approaches were used to compare the gray matter (GM) Jacobian determinant and GM volume (GMV) between MDD group and HCs group. The receiver operating characteristic curve (ROC) was used to test the diagnostic value of the grey matter volume of statistically different regions for MDD. Results:MDD patients showed significant GM atrophy in the right anterior cingulate cortex (ACC), right precentral cortex and left paracentral cortex (voxel peak-level P<0.001,cluster size>120). The GMV of the right ACC, right precentral cortex and left paracentral cortex in MDD group were significantly smaller than those in HCs group ( P<0.01, two-tailed). The GMV of the right ACC showed a certain value for the diagnosis of MDD, with the area under curve (AUC) of 0.733, and a suggested cutoff value of 0.414. Conclusion:The DBM method can detect the GM atrophy and GMV reduction in the prefrontal and parietal regions, which reflect the changes in the GM microstructural of gray matter in early MDD. The GMV of the right ACC might be the imaging indicator for the early diagnosis of MDD.

Objective:This study was aimed to explore the structural changes of grey matter (GM) in drug-naive patients with first-onset major depressive disorder (MDD) by using deformation-based morphometry (DBM) and the possible imaging biomarkers for early diagnosis of MDD.Methods:3D T 1-weighted structural MRI scans were performed on 38 MDD patients and 65 healthy controls (HCs), matched with age and gender. DBM and region of interests (ROIs) approaches were used to compare the gray matter (GM) Jacobian determinant and GM volume (GMV) between MDD group and HCs group. The receiver operating characteristic curve (ROC) was used to test the diagnostic value of the grey matter volume of statistically different regions for MDD. Results:MDD patients showed significant GM atrophy in the right anterior cingulate cortex (ACC), right precentral cortex and left paracentral cortex (voxel peak-level P<0.001,cluster size>120). The GMV of the right ACC, right precentral cortex and left paracentral cortex in MDD group were significantly smaller than those in HCs group ( P<0.01, two-tailed). The GMV of the right ACC showed a certain value for the diagnosis of MDD, with the area under curve (AUC) of 0.733, and a suggested cutoff value of 0.414. Conclusion:The DBM method can detect the GM atrophy and GMV reduction in the prefrontal and parietal regions, which reflect the changes in the GM microstructural of gray matter in early MDD. The GMV of the right ACC might be the imaging indicator for the early diagnosis of MDD.