Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China, No. 55, Section 4, South Renmin Road, Chengdu, 610041, China.
Graduate School, Chengdu Medical College, Chengdu, Sichuan, China.
J Cardiothorac Surg. 2024 Jan 3;19(1):8. doi: 10.1186/s13019-023-02474-0.
While the role of low-dose computed tomography (CT) in lung cancer screening is established, its limitations in detailing pulmonary vascular variations are less emphasized. Three-dimensional reconstruction technology allows surgeons to reconstruct a patient's bronchial and pulmonary vascular structures using CT scan results. However, low-dose CT may not provide the same level of clarity as enhanced CT in displaying pulmonary vascular details. This limitation can be unfavorable for preoperative detection of potential pulmonary vascular variations, especially in cases involving planned segmentectomy.
We report a case of a 58-year-old female with lung cancer, initially planned for Da Vinci robot-assisted thoracoscopic segmentectomy. Unexpectedly, during surgery, a pulmonary vein variation in the right upper lobe was discovered, leading to a change in the surgical method to a lobectomy. The patient had four variant right upper lobe veins draining into the superior vena cava and one into the left atrium. The surgery was complicated by significant bleeding and postoperative pulmonary congestion. Postoperative pathology confirmed adenocarcinoma.
This case highlights the importance of meticulous intraoperative exploration, particularly in cases involving planned segmentectomy, as unexpected pulmonary vein variations can significantly affect surgical decision-making. While three-dimensional reconstruction based on preoperative CT data is a valuable tool, it may not capture the full complexity of the anatomical variations. We discuss potential preoperative imaging techniques, including contrast-enhanced CT and CT angiography, as methods to better identify these variations. The enhanced visualization provided by robot-assisted surgery plays a crucial role in identifying and adapting to these variations, underscoring the advantages of this surgical approach. Our report contributes to the existing literature by providing a detailed account of how these principles were applied in a real-world scenario, reinforcing the need for surgical adaptability and awareness of the limitations of low-dose CT in complex cases.
虽然低剂量计算机断层扫描(CT)在肺癌筛查中的作用已得到确立,但在详细描述肺血管变异方面的局限性却较少被强调。三维重建技术允许外科医生使用 CT 扫描结果重建患者的支气管和肺血管结构。然而,低剂量 CT 可能无法像增强 CT 那样清晰地显示肺血管细节。这一限制不利于术前检测潜在的肺血管变异,尤其是在计划行节段切除术的情况下。
我们报告了一例 58 岁女性肺癌病例,最初计划行达芬奇机器人辅助胸腔镜下节段切除术。然而,在手术过程中,意外发现右上肺有肺静脉变异,导致手术方式改为肺叶切除术。该患者有四条变异的右上肺静脉汇入上腔静脉,一条汇入左心房。手术过程中出血严重,术后出现肺部淤血。术后病理证实为腺癌。
本病例强调了术中仔细探查的重要性,尤其是在计划行节段切除术的情况下,因为意外的肺静脉变异可能会对手术决策产生重大影响。虽然基于术前 CT 数据的三维重建是一种有价值的工具,但它可能无法捕捉到解剖变异的全部复杂性。我们讨论了潜在的术前成像技术,包括增强 CT 和 CT 血管造影,作为更好地识别这些变异的方法。机器人辅助手术提供的增强可视化在识别和适应这些变异方面发挥着关键作用,突出了这种手术方法的优势。我们的报告通过详细描述这些原则在实际情况下的应用,为现有文献做出了贡献,强调了手术适应性和对低剂量 CT 在复杂病例中局限性的认识的重要性。