Weight-bearing computed tomography (WBCT) enables acquisition of three-dimensional bony structure images in a physiological weight-bearing position, which is fundamental in understanding the pathologic lesions and deformities of the ankle joint. Over the past decade, researchers have focused on validating and developing WBCT measurements, which has significantly enhanced our knowledge of common foot and ankle diseases. Consequently, understanding the application of WBCT in clinical practice is becoming more important to produce improved outcomes in the treatment of disease around the ankle joint. This review will describe an overview of what is currently being evaluated in foot and ankle surgery using WBCT and where the course of research will be heading in the future.

Weight-bearing computed tomography (WBCT) enables acquisition of three dimensional bony structure images in a physiological weight-bearing position, which is fundamental in under-standing the pathologic lesions and deformities of the ankle joint. Over the past decade, re-searchers focused on validating and developing WBCT measurements, which has significantly enhanced our knowledge of common foot and ankle disease. Consequently, understanding the application of WBCT in clinical practice is becoming more important to produce improved out-comes in the treatment of disease around the ankle joint. This review will describe an overview of what is currently being evaluated in the foot and ankle surgery using WBCT and where the course of research will be heading in the future.

This study aims to examine the association between the occurrence of diabetic foot and air quality (SO₂, CO, NO₂, O₃). Open data were collected to conduct a big data study. Patient information was gathered from the National Health Insurance Service, and the National Institute of Environmental Science’s air quality data were used. A total study population of 347,543 cases were reviewed (case = 13,353, control = 334,190). The lag period from air quality changes to the actual amputation operation was calculated for each factor. The frequency of diabetic foot amputation in each region was identified and analyzed using a distributed lag non-linear model. Gangwon-do showed the highest relative risks (RRs) for SO₂ and CO, while Chungcheongnam-do exhibited the highest RR for NO₂. Jeju had the highest RR for O₃. Regions like Incheon, Busan, and the capital region also showed significant risk increases. These findings emphasize the importance of tailored air quality management to address diabetic foot complications effectively.