Objective To study the CT and MRI features of benign ovarian cystic lesions (BOCL) and to improve the understanding of imaging features.Methods CT and MRI findings were retrospectively reviewed and analyzed in 48 patients with BOCL proved by surgical pathology.CT scan was performed in 35 cases, among which 20 cases were performed with CT enhancement scan;MRI scan was performed in 8 cases, among which 3 cases were performed with MRI enhancement scan and diffusion weighted imaging(DWI).Five cases were performed with both CT and MRI.Results There were 11 cysts (3 simple cysts, 3 corpus luteum cyst, and 5 endometriotic cyst), 10 serous cystadenomas with 13 lesions, 8 mucinous cystadenomas, 9 teratomas with 10 lesions, and 10 struma ovarii.The CT and MRI characteristics of the lesions in size, shape,thickness of cyst wall,wall nodule,density or signal intensity,and enhancement features were helpful in differential diagnosis of BOCL.Conclusion CT and MRI findings of BOCL have certain characteristics, which is significant in the diagnosis, preoperative evaluation and prognosis.

Objective:To explore the improvement of image quality of different acceleration factors in breath-hold three-dimensional magnetic resonance cholangiopancreatography (3D MRCP) using deep learning (DL) and compressed sensing (CS) technology.Methods:A total of 68 patients who underwent upper abdominal 3D MRCP examination at West China Hospital of Sichuan University from March to August 2023 were prospectively included. The patients were subdivided into three groups randomly with the following paramters: CS group with an acceleration factor of 24 (CS-24); DL-CS group with acceleration factors 24 (DL-CS-24) and 33 (DL-CS-33) respectively. The signal-to-noise ratio (SNR), contrast ratio (CR) and contrast-to-noise ratio (CNR) of the three sets of images were measured, and the overall image quality, background suppression, artifacts, and visibility of bile ducts and pancreatic ducts at all levels were subjectively evaluated. Chi-square test and Friedman test were used to perform statistical analysis on the number of unsatisfactory diagnostic images and subjective and objective indicators of the three groups of sequences respectively.Results:The scanning time of the DL-CS-33 group (9 s) was 30% shorter than that of the CS-24 group and DL-CS-24 group (13s). The images of DL-CS-33 group from 68 patients all met the clinical diagnostic requirements and statistically differences were found between the images from CS-24 group and DL-CS-24 group (all P<0.05). There were no statistically differences in SNR, CR, CNR, overall image quality, artifacts, and visibility scores of bile ducts and pancreatic ducts at all levels between the DL-CS-33 group and the CS-24 group (all P>0.05). The SNR, CR, CNR, intrahepatic bile duct, main pancreatic duct and overall image quality of the DL-CS -24 group were better than those of the CS-24 group (all P<0.05). Conclusions:DL-CS technology could improves breath-hold 3D MRCP image quality with the 24 acceleration factor with no additioanl scanning time. DL-CS technology combined with a high acceleration factor of 33 further reduces scanning time while ensuring overall image quality, providing a fast breath-hold scanning solution.