Department of Liver Surgery, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
Department of General Surgery, Shanghai Jing'an District Zhabei Central Hospital, Shanghai 200070, China.
Comput Math Methods Med. 2022 Jul 7;2022:4376654. doi: 10.1155/2022/4376654. eCollection 2022.
Hepatobiliary malignancies, such as hepatocellular carcinoma (HCC) and biliary tract cancers, namely, gallbladder carcinoma and cholangiocarcinoma, are linked to a high rate of morbidity and mortality, depending on the phase of the disease. The intricate hepatobiliary anatomy and the need for accurate peroperative management, especially in patients with advanced liver disease, make these tumors difficult to treat. Surgical resection is a notable therapy for hepatobiliary cancers. Unnecessary or excessive liver excision influences patient rehabilitation, normal liver function, and postoperative complications. Hepatobiliary operations must therefore include accurate liver removal. The present advancements in imaging technology are aimed at improving the diagnostic efficacy of liver injury even more. Three-dimensional visual reconstruction is becoming more important in the diagnosis as well as treatment of a variety of disorders. In this paper, we proposed a novel three-dimensional visual reconstruction technology using enhanced nonuniform rational basis spline (ENURBS) combined with virtual surgical planning of Computed Tomography Angiography (CTA) images for precise liver cancer resection. The purpose of this project is to rebuild 2D CTA scan images of liver cancer into a 3D reconstructed model for efficient visualization and diagnosis of liver cancer and to prepare an effective preoperative surgical plan for precise liver excision based on a 3D recreated liver model. This method's performance is compared to that of 2D planning in terms of accuracy and time taken to complete the plan. It is concluded that our proposed technique outperforms the planning technique based on 2D images.
肝胆恶性肿瘤，如肝细胞癌 (HCC) 和胆道癌，即胆囊癌和胆管癌，其发病率和死亡率高，取决于疾病的阶段。复杂的肝胆解剖结构和对准确围手术期管理的需求，特别是在晚期肝病患者中，使得这些肿瘤难以治疗。手术切除是治疗肝胆癌的重要方法。不必要或过度的肝脏切除会影响患者的康复、正常的肝功能和术后并发症。因此，肝胆手术必须包括准确的肝脏切除。目前，成像技术的进步旨在进一步提高肝脏损伤的诊断效果。三维可视化重建在各种疾病的诊断和治疗中变得越来越重要。在本文中，我们提出了一种使用增强非均匀有理 B 样条（ENURBS）结合计算机断层血管造影术（CTA）图像虚拟手术规划的新型三维可视化重建技术，用于精确的肝癌切除。该项目的目的是将肝癌的 2D CTA 扫描图像重建为 3D 重建模型，以便高效地可视化和诊断肝癌，并基于 3D 重建的肝脏模型制定有效的术前手术计划，实现精确的肝脏切除。该方法的性能在准确性和完成计划所需的时间方面与 2D 规划进行了比较。结果表明，我们提出的技术优于基于 2D 图像的规划技术。
