No abstract

Early diagnosis of deep venous thrombosis is essential for reducing complications, such as recurrent pulmonary embolism and venous thromboembolism. There are numerous studies on enhancing efficiency of computer-aided diagnosis, but clinical diagnostic approaches have never been considered. In this study, we evaluated the performance of an artificial intelligence (AI) algorithm in the detection of iliofemoral deep venous thrombosis on computed tomography angiography of the lower extremities to investigate the effectiveness of using the clinical approach during the feature extraction process of the AI algorithm. To investigate the effectiveness of the proposed method, we created synthesized images to consider practical diagnostic procedures and applied them to the convolutional neural network-based RetinaNet model. We compared and analyzed the performances based on the model’s backbone and data. The performance of the model was as follows: ResNet50: sensitivity = 0.843 (± 0.037), false positives per image = 0.608 (± 0.139); ResNet152 backbone: sensitivity = 0.839 (± 0.031), false positives per image = 0.503 (± 0.079). The results demonstrated the effectiveness of the suggested method in using computed tomography angiography of the lower extremities, and improving the reporting efficiency of the critical iliofemoral deep venous thrombosis cases.

Liver injury is a common consequence of blunt abdominopelvic trauma. Contrast-enhanced CT allows for the rapid detection and evaluation of liver injury. The treatment strategy for blunt liver injury has shifted from surgical to nonoperative management, which has been widely complemented by interventional management to treat both liver injury and its complications. In this article, we review the major imaging features of liver injury and the role of interventional management for the treatment of liver injury.

Background: Duplication of the superficial femoral artery (SFA) is an extremely rare anatomic variation, with few case studies reported. We report one case of the duplicated SFA, discovered by both ultrasonography (US) and computed tomography angiography (CTA). We also reviewed literatures concerning 6 cases of the duplicated SFA (including our present case), and summarized the clinical and imaging features of the anatomic variation. Case presentation: A 55-year-old woman presented to our hospital with an intermittent cramp in the lateral aspect of the right leg. The patient underwent Doppler US examination on bilateral lower extremity arteries and veins to examine potential vascular abnormality. Incidentally, US discovered the duplicated left SFA and CTA of bilateral lower extremities revealed the anatomic orientation, course, length, diameter and distance of the duplicated left SFA. It was revealed to be divided into two trunks with similar luminal diameter and courses parallel. They reunited at distal thigh level. The findings of US and CTA examination did not correspond with the symptom of the patient, and the patient was discharged. Conclusion: We report a rare case of the duplicated SFA diagnosed with the combinations of US and CTA examination, which served as valuable imaging methods to detect and diagnose the vascular anatomic variation in lower extremities.