Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery.

The purpose of this ambispective study was to investigate whether deep learning-based automatic segmentation and landmark detection, the SkullEngine, could be used for orthognathic surgical planning. Sixty-one sets of cone beam computed tomography (CBCT) images were automatically inferred for midface, mandible, upper and lower teeth, and 68 landmarks. The experimental group included automatic segmentation and landmarks, while the control group included manual ones that were previously used to plan orthognathic surgery. The qualitative analysis of segmentation showed that all of the automatic results could be used for computer-aided surgical simulation. Among these, 98.4% of midface, 70.5% of mandible, 98.4% of upper teeth, and 93.4% of lower teeth could be directly used without manual revision. The Dice similarity coefficient was 96% and the average symmetric surface distance was 0.1 mm for all four structures. With SkullEngine, it took 4 minutes to complete the automatic segmentation and an additional 10 minutes for a manual touchup. The results also showed the overall mean difference between the two groups was 2.3 mm for the midface and 2.4 mm for the mandible. In summary, the authors believe that automatic segmentation using SkullEngine is ready for daily practice. However, the accuracy of automatic landmark digitization needs to be improved.

[A study of cerebral vasospasm after subarachnoid hemorrhage with transcranial Doppler].

Transcranial Doppler (TCD) was performed in 64 patients with subarachnoid hemorrhage (SAH) to detect the blood velocity in middle cerebral artery (MCA). Based on Poiseuille's principle, the increase of blood velocity was used as an indicator of cerebral vasospasm (CVS). It was found that 61.67% of the patients with SAH developed CVS, especially in the second week after SAH. The incidence of CVS in patients below 50 years old was higher than that in patients above 51 years old. The results showed that TCD is valuable in evaluation of CVS after SAH.

[Synthesis of (+/-)-edulinine analogues].

The natural product, edulinine (I), possesses analgesic, anaesthetic and anticonvulsant activities on the central nervous system. In this paper we report that a series of edulinine analogues IV, V were synthesized and screened in mice according to methods of Topliss and Austel quantitative drug design. In preliminary pharmacological tests a number of synthesized compounds showed central depressant activities stronger than edulinine.