Benchmark Status of Women Interventional Radiologists in China.

PURPOSE: To evaluate the current status of women interventional radiologists in China and discuss possible measures to boost their representation in this male-dominated field for a more diverse workplace environment in the future. MATERIALS AND METHODS: The list of Chinese interventional radiologists obtained from the Chinese College of Interventionalists was retrospectively reviewed. Key information was extracted from the database, including sex, chronologic trends of representation of women interventional radiologists, position, education level, geographic distribution, interventional radiology (IR) practice time, departmental affiliation, and hospital classification. RESULTS: Of the 13,855 entries, 7,324 (52.9%) were interventional radiologists having valid information. Among them, 684 (9.3%) were identified as women. The number of women interventional radiologists has continued to increase since the first woman registered in 1992. The average age of women interventional radiologists was 39.1 years ± 5.7 (range, 26-50). The majority of them were attending physicians (n = 280; 40.9%) with a bachelor's degree (n = 363; 53.1%). Most women interventional radiologists (n = 215, 31.4%) joined this specialty 5-9 years after becoming physicians, whereas 128 (18.7%) started practicing IR from the very beginning. A total of 42.4% of women interventional radiologists were from the departments of IR and cardiology. CONCLUSIONS: Although the total number shows an upward trend, women interventional radiologists are still underrepresented. Education level, geographic areas, and other socioeconomic factors may simultaneously influence the population size of women interventional radiologists in China.

Diabetes risk assessment with imaging: a radiomics study of abdominal CT.

OBJECTIVES: To identify CT markers for screening of early type 2 diabetes and assessment of the risk of incident diabetes using a radiomics method. METHODS: The medical records of 26,947 inpatients were reviewed. A total of 690 patients were selected and allocated to a primary cohort, a validation cohort, and a prediction cohort and used to build prediction models for diabetes. Three radiomics signatures were constructed using CT image features extracted from three regions of interest, i.e., in the pancreas, liver, and psoas major muscle. By incorporating radiomics signatures and other markers, we built a radiomics nomogram that could be used to screen for early diabetes and predict future diabetes. RESULTS: Of the three abdominal organs for which radiomics signature were constructed, that of the pancreas showed the best discriminatory power for early diabetes screening and prediction (C-statistics of 0.833, 0.846, and 0.899 for the primary cohort, validation cohort, and prediction cohort, respectively). The sensitivity and specificity of the nomogram for prediction of 3-year incident diabetes were 0.827 and 0.807, respectively. CONCLUSIONS: This study presents alternative radiomics markers that have potential for use in screening for undiagnosed type 2 diabetes and prediction of 3-year incident diabetes. KEY POINTS: • CT images may provide useful information to evaluate the risk of developing diabetes. • Radiomics score for diabetes prediction is based on subtle changes of abdominal organs detected by CT. • The radiomics signature of pancreas, a combination of five features of CT images, is efficient for early diabetes screening and prediction of future diabetes (AUC > 0.8).