The utility and feasibility of three-dimensional reconstruction in surgical planning for multiple pulmonary nodules: a prospective self-controlled study.

IF 3.5 2区 医学 Q2 ONCOLOGY Translational lung cancer research Pub Date : 2025-01-24 Epub Date: 2025-01-22 DOI:10.21037/tlcr-24-849
Zhifei Li, Runze Li, Lei Liu, Peng Li, Yue Peng, Yuichi Saito, Alberto Salvicchi, Satoshi Fumimoto, Bin Qiu, Fengwei Tan, Qi Xue, Shugeng Gao, Jie He
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Abstract

Background: Three-dimensional (3D) is a useful tool for visualizing computed tomography (CT) scans, facilitating a clearer understanding of the spatial relationships between pulmonary lesions and the branching architecture of the bronchi and blood vessels. Several studies have demonstrated the benefit of preoperative 3D reconstruction in terms of intraoperative safety and short-term surgical outcomes after thoracoscopic surgery. However, evidence regarding the impact of 3D reconstruction on surgical planning of anatomical partial lobectomy (APL) is still lacking. This study aimed to evaluate the effect of 3D reconstruction in surgical planning and decision making compared with conventional clinical imaging.

Methods: This prospective self-controlled study included 49 patients with multiple lung nodules (MLNs). A 3D reconstruction model was created using thin-slice CT images with Mimics 21.0 software. Two novice surgeons and two experienced surgeons respectively conducted surgical planning based on the CT images and 3D reconstruction sequentially. The surgical plans based on the CT images and 3D reconstruction were compared with those after the evaluation of intraoperative inspection.

Results: Among the 49 participants enrolled to undergo sublobar resection (the patient level), 3D reconstruction significantly increased the surgical planning success rates both in novice surgeons (Surgeon A: 40.8% to 87.8%; Surgeon B: 49.0% to 89.8%) and experienced surgeons (Surgeon C: 83.7% to 100%; Surgeon D: 75.5% to 95.9%). For the entire 101 pulmonary nodules determined suitable for APL (the nodule level), all surgeons had higher surgical planning success rates with the help of 3D reconstruction and all success rates were above 90%. The gap in surgical planning success rates between novice surgeons and senior surgeons was closed. All patients were operated without intraoperative accident and without major postoperative complications.

Conclusions: The surgical planning success rates of both novice surgeons and experienced surgeons were significantly increased with the help of 3D reconstruction and reached a high level. 3D reconstruction also closed the gap of surgical planning between novice surgeons and experienced surgeons at patient level.

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三维重建在多发性肺结节手术计划中的实用性和可行性:一项前瞻性自我对照研究。
背景:三维(3D)是一种有用的计算机断层扫描(CT)可视化工具,有助于更清楚地了解肺部病变与支气管和血管分支结构之间的空间关系。一些研究已经证明术前3D重建在胸腔镜手术后术中安全性和短期手术结果方面的益处。然而,关于3D重建对解剖性部分肺叶切除术(APL)手术计划的影响的证据仍然缺乏。本研究旨在评价三维重建与常规临床影像在手术计划和决策中的作用。方法:本前瞻性自我对照研究纳入49例多发性肺结节(MLNs)患者。使用Mimics 21.0软件,利用薄层CT图像建立三维重建模型。两名新手和两名经验丰富的外科医生分别根据CT图像和3D重建顺序进行手术计划。将基于CT图像和三维重建的手术方案与术中检查评估后的方案进行比较。结果:在入选的49名接受叶下切除术(患者水平)的参与者中,3D重建显着提高了新手外科医生的手术计划成功率(外科医生A: 40.8%至87.8%;外科医生B: 49.0% ~ 89.8%)和经验丰富的外科医生(外科医生C: 83.7% ~ 100%;外科医生D: 75.5% ~ 95.9%)。对于全部101个确定适合APL的肺结节(结节级别),在3D重建的帮助下,所有外科医生的手术计划成功率均较高,成功率均在90%以上。手术计划成功率在新手和资深外科医生之间的差距已经缩小。所有患者均无术中意外和术后重大并发症。结论:在三维重建的帮助下,新手和经验丰富的外科医生的手术计划成功率均明显提高,达到较高水平。三维重建也缩小了新手和经验丰富的外科医生在患者水平上的手术计划差距。
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来源期刊
CiteScore
7.20
自引率
2.50%
发文量
137
期刊介绍: Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.
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