Liu Changya, Shen Yin, Wu Xinxin, Qian Kang, Hu Xuebin, Yang Haifeng
Department of Neurology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China; Hubei Province Academy of Traditional Chinese Medicine, Wuhan, Hubei, China; Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ann Vasc Surg. 2022 Sep;85:228-236. doi: 10.1016/j.avsg.2022.03.013. Epub 2022 Mar 23.
To evaluate the efficacy of artificial intelligence (AI) technology-assisted microcatheter shaping for coil embolization of intracranial aneurysms.
From June 2019 to May 2021, 30 aneurysms in 24 patients were treated with coiling embolization using computer software-assisted microcatheter shaping at our institution. All patients underwent digital subtraction angiography (DSA) before coiling embolization. After three-dimensional (3D) rotational angiography, digital imaging and communications in medicine (DICOM) data were extracted and imported into computer software based on an AI algorithm. 3D images of the parent artery and aneurysm were constructed with the software and data including the central axis of the parent artery, aneurysm location, aneurysm size, and 3D structure were automatically obtained. The optimal microcatheter path was calculated and the shape of the mandrel was automatically generated. Surgeons shaped the mandrel and microcatheter following the AI-generated template and completed the endovascular procedure.
All patients successfully completed the endovascular procedure without perioperative complications. The microcatheters shaped as per the AI template accurately entered the aneurysm sacs in 1 attempt; 15 aneurysms required no microguidewire assistance in catheterizing the aneurysm sac and 15 did. The stability of the microcatheters during the procedures was satisfactory. No rebound incidence was observed and no reshaping was necessary.
The AI-assisted microcatheter shaping technology provides a new method to generate the optimal shape for the mandrel and microcatheter during endovascular procedures. The technology facilitates microcatheter accuracy and stability during coiling embolization and provides technical support for surgeons.
评估人工智能（AI）技术辅助微导管塑形在颅内动脉瘤弹簧圈栓塞治疗中的疗效。
2019年6月至2021年5月，我院对24例患者的30个动脉瘤采用计算机软件辅助微导管塑形进行弹簧圈栓塞治疗。所有患者在弹簧圈栓塞治疗前均接受了数字减影血管造影（DSA）。在三维（3D）旋转血管造影后，提取医学数字成像和通信（DICOM）数据并导入基于AI算法的计算机软件。利用该软件构建载瘤动脉和动脉瘤的3D图像，并自动获取包括载瘤动脉中心轴、动脉瘤位置、动脉瘤大小和3D结构等数据。计算出最佳微导管路径并自动生成心轴形状。外科医生按照AI生成的模板对心轴和微导管进行塑形，完成血管内手术。
所有患者均成功完成血管内手术，无围手术期并发症。按照AI模板塑形的微导管1次准确进入动脉瘤囊；15个动脉瘤在导管插入动脉瘤囊时无需微导丝辅助，15个需要。手术过程中微导管的稳定性良好。未观察到反弹情况，无需重新塑形。
AI辅助微导管塑形技术为血管内手术中心轴和微导管生成最佳形状提供了一种新方法。该技术有助于弹簧圈栓塞治疗过程中微导管的准确性和稳定性，为外科医生提供了技术支持。
