Objective To assess the imaging characters and clinical applications of triphasic spiral computer tomography(CT) scanning in ureteral lesions.Methods We analyzed of 76 consecutive cases of clinically evidenced ureteral lesions using the cross-sectional images and CTU derived from triphasic spiral CT scanning retrospectively.Results Twetny-four cases of 76 ureteral lesions patients were diagnosed as ureteral tumor,resulting in severe urinary tract obstruction.The shape,size,number,regional ureter wall inflammatory infiltration of visible mass were verified as well.Twetny-six cases were caused by ureteral stones.The "edge" sign was shown clearly.Ten cases were ureteral inflammation,characterized by different ureteral wall thickening and enhancement feature.Eight cases were ureteral tuberculosis that secondary to renal tuberculosis.Uneven ureteral wall thickening,stiffness and mild to moderate density were shown in CT scanning.Ureteral congenital malformations were found in 3 patients.The other five cases were caused by exogenous factors.CT scanning could identify the mass general profile.Conclusion Triphasic spiral CT scanning plays an important role in ureteral lesions diagnosis and differentiation from other similar diseases.

Objective To assess the imaging characters and clinical applications of triphasie spiral computer tomography (CT) scanning in ureteral lesions. Methods We analyzed of 76 eonseeutive eases of elinieaUy evidenced ureteral lesions using the cross - sec-fional images and CTU derived from triphaaie spiral CT scanning retrospectively. Results Twetny - four cases of 76 ureteral lesions pa-tients were diagnosed as ureteral tumor, resulting in severe urinary tract obstruction. The shape, size, number, regional ureter wall in-flammatory infiltration of visible mass were verified as well. Twetny- six cases were caused by ureteral stones. The "edge" sign was shown clearly. Ten cases were ureteral inflammation, characterized by different ureteral wall thickening and enhancement feature. Eight cases were ureteral tuberculosis that secondary to renal tuberculosis. Uneven ureteral wall thickening, stiffness and mild to moderate densi-ty were shown in CT scanning. Ureteral congenital malformations were found in 3 patients. The other five cases were caused by exogenous factors. CT scanning could identify the mass general profile. Conclusion Triphasic spiral CT scanning plays an important role in ureteral lesions diagnosis and differentiation from other similar diseases.

In recent years, the artificial intelligence machine learning and deep learning technology have made leap progress. Using clinical decision support system for auxiliary diagnosis and treatment is the inevitable developing trend of wisdom medical. Clinicians tend to ignore the interpretability of models while pursuing its high accuracy, which leads to the lack of trust of users and hamper the application of clinical decision support system. From the perspective of explainable artificial intelligence, the authors make some preliminary exploration on the construction of clinical decision support system in the field of liver disease. While pursuing high accuracy of the model, the data governance techniques, intrinsic interpretability models, post-hoc visualization of complex models, design of human-computer interactions, providing knowledge map based on clinical guidelines and data sources are used to endow the system with interpretability.