ObjectiveTo explore the feasibility of three-dimensional (3-D) visualization reconstruction of the medial sural artery perforator flap based on digital technology. MethodsA series of Dicom images were obtained from three healthy adult volunteers by dual source CT angiography. Then the Mimics software was used to construct the medial sural artery model and measure the indexes, including the starting position of medial sural artery, external diameters of vascular pedicle, the number of perforators, location perforated deep fascia, and the maximum pedicle length of perforators based on medial sural artery perforator flap. ResultsThe 3-D visualization reconstruction models were successfully finished with Mimics software, which can clearly display the distribution, travel, and perforating point. Thirteen perforators were found in 6 legs, which started at the popliteal artery with a mean external diameter of 2.3 mm (range, 1.9-2.7 mm). Each specimen had 1-3 perforators, which located at the site of 6.2-15.0 cm distal to popliteal crease and 2.5-4.2 cm from posterior midline. The maximum pedicle length of medial sural artery perforator flap was 10.2-13.8 cm (mean, 11.8 cm). ConclusionThe 3-D visualization reconstruction models based on digital technology can provide dynamic visualization of the anatomy of the medial sural artery for individualized design of the medial sural artery perforator flap.
ObjectiveTo comprehend the current diagnosis status and new progress of hepatic echinococcosis (HE). MethodThe literature from domestic and foreign researchers relevant diagnosis of HE in recent years was searched and summarized. ResultsThe HE was widely distributed worldwide, with extremely high mortality and disability rates, posing a serious threat to local economic development and public health. At present, in addition to the traditional and widely recognized diagnostic methods based on epidemiological histories, clinical manifestations, routine imaging, and experimental examinations, many innovative technologies based on these traditional diagnostic methods had emerged in the field of HE, such as diagnostic prediction models constructed based on ultrasound and other imaging data, artificial intelligence, three-dimensional visual reconstruction, and circulating free DNA testing, which significantly improved the diagnosis rate of the HE. ConclusionsIn recent years, with the continuous improvement of medical level, the in-depth and perfect exploration of HE has made remarkable progress, which not only provides a new possibility for the early diagnosis of the HE, but also provides an important basis for research in related fields and the formulation of prevention and control measures. Therefore, the further promotion and application of these new techniques will aid to improve the diagnosis status of HE and reduce its impact on population health.