Recently, anatomical segmentectomy emerges as a hot spot in clinical research for surgical treatment of early-stage lung cancer. The techniques of segmentectomy are more elaborate and complicated than lobectomy, because of the considerable anatomic variations of segment blood vessels and bronchus. In a long term, video-assisted thoracic surgery is the mainly minimally invasive approach. As a new approach of minimally invasive surgery, da Vinci robot system possesses three-dimensional and high definition view, better dexterity mechanical wrist and tremor filtering system, which are the main advantages over video-assisted thoracic surgery. All the superiorities of robot system provide good supports for performing segmentectomy. Robot-assisted segmentectomy has been carried out in many medical centers in China and abroad until now. However, most surgery cases often lack adequate controls on quality.
Whether anatomical segmentectomy can replace lobectomy in the treatment of early-stage lung cancer remains controversial. A large number of studies have been conducted for decades to explore whether pulmonary segmentectomy can treat early-stage lung cancer, which is actually to explore the indications of intentional segmentectomy. With the development of scientific researches, it is found that many characteristics affect the malignancy of lung cancer, and the different grades of each characteristic affect the prognosis of patients. It is worth exploring whether different surgical approaches can be used for early-stage lung cancer with different characteristics and different grades. This article reviews the literature and studies to discuss the advances in indications of segmentectomy for early-stage lung in terms of tumor size, consolidation-to-tumor ratio, pathological classification and tumor location, respectively. The objective of this review is to help thoracic surgeons to objectively and scientifically select the surgical method according to the clinical characteristics of early-stage lung cancer.
ObjectiveTo investigate the clinical effect of 3D computed tomography bronchial bronchography and angiography (3D-CTBA) and guidance of thoracoscopic anatomic pulmonary segmentectomy by Mimics software system. MethodsA retrospective analysis was performed on patients who underwent thoracoscopic segmentectomy in the Department of Thoracic Surgery of Affiliated People's Hospital of Jiangsu University from June 2020 to December 2022. The patients who underwent preoperative 3D-CTBA using Materiaise's interactive medical image control system (Mimics) were selected as an observation group, and the patients who did not receive 3D-CTBA were selected as a control group. The relevant clinical indicators were compared between the two groups. ResultsA total of 59 patients were included, including 29 males and 30 females, aged 25-79 years. There were 37 patients in the observation group, and 22 patients in the control group. The operation time (163.0±48.7 min vs. 188.8±43.0 min, P=0.044), intraoperative blood loss [10.0 (10.0, 20.0) mL vs. 20.0 (20.0, 35.0) mL, P<0.001], and preoperative puncture localization rate (5.4% vs. 31.8%, P=0.019) in the observation group were better than those in the control group. There was no statistically significant difference in the thoracic tube placement time, thoracic fluid drainage volume, number of intraoperative closure nail bin, postoperative hospital stay, or postoperative air leakage incidence (P>0.05) between the two groups. ConclusionFor patients who need to undergo anatomical pulmonary segmentectomy, using Mimics software to produce 3D-CTBA before surgery can help accurately identify pulmonary arteriovenous anatomy, reduce surgical time and intraoperative blood loss, help to determine the location of nodules and reduce invasive localization before surgery, and alleviate patients' pain, which is worthy of clinical promotion.