1.MRI features of struma ovarii and analysis of misdiagnosis
Yicai XIE ; Cheng LI ; Zixia GUO ; Shaolu LU
Journal of Practical Radiology 2017;33(3):422-424,442
Objective To explore MRI features of struma ovarii (SO)and analyze the causes of misdiagnosis.Methods The MRI data of 5 patients with SO confirmed by surgery and pathology were analyzed retrospectively.Results The MRI features of SO were summarized as follows:(1)The lesions were often unilateral.(2)The maximal diameter was 3.6-13 cm and the volume was 37.8-854.1 cm3 .(3)The irregular shape was presented in 2 cases,round shape was presented in 2 cases,and superficial lobulated shape was presented in 1 case.(4)The boundary of the lesions was clear,and the adjacent organs were compressed without obvious inva-sion,there was 1 patient showing moderate ascites.(5 )The tumor was cystic or solid-cystic with various size,and capsular space showed homogeneous high,equal or low signal intensity on T1 WI and T2 WI.Irregular solid component and thick separation were be-tween capsular spaces.The wall,solid component,and separation showed significant contrast-enhancement.Conclusion Recognition of the MRI features of SO could improve the diagnostic accuracy and avoid misdiagnosis.
2.Management analysis of neurosurgery residency training bases in different types of hospitals of Guangdong Province
Zixia ZENG ; Changming ZHANG ; Haijun WANG ; Jinlong LIU ; Huiping SU ; Shaolin WU ; Shaolei GUO
Chinese Journal of Medical Education Research 2022;21(12):1724-1728
Objective:To comprehensively understand the operational status and existing problems of the neurosurgery professional training bases for standardized residency training in Guangdong Province.Methods:According to the scoring rules of "Standardized Residency Training Evaluation Indicators—Surgery (Neurosurgery) Professional Base" formulated by the Post-Graduation Medical Education Neurosurgery Professional Committee of the Chinese Medical Doctor Association, 28 training bases were supervised and evaluated. The scoring results of the supervision of 28 neurosurgery training bases were collected, and the training bases were divided into two categories according to the traditional teaching history, 6 affiliated hospitals of traditional medical schools and 22 non-traditional affiliated/teaching hospitals. GraphPad 5.0 software was used for statistical analysis of the 14 core indicators, and t-test, variance analysis and Chi-square test were used for analysis. Results:The results showed that there was a statistically significant difference in the compliance rate of 14 core indicators between traditional teaching hospitals and non-traditional teaching hospitals ( P = 0.003), skill operation and type and number of surgeries ( P = 0.041) and student rotation plan ( P = 0.012). The differences were also statistically significant. Conclusion:This study reveals that the comprehensive management ability of training bases in traditional teaching hospitals is significantly better than that in non-traditional teaching hospitals. Additionally, it's suggested to strengthen the construction of professional bases, enhance the institutionalized management of bases, and thus realize the homogenization training of neurosurgery residents.