Xiaojun Liu1,2, Yandong Zhao1, Yunpeng Xuan1, Xinyan Lan2, Jun Zhao1,2, Xiaoquan Lan3, Bin Han1, Wenjie Jiao1. 1. Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, China. 2. Department of Thoracic Surgery, Qingdao Chengyang District People's Hospital, Qingdao 266003, China. 3. Clinical Medical Transformation Center of Three-Dimensional Printing, Qingdao Chengyang District People's Hospital, Qingdao 266003, China.
Abstract
BACKGROUND: The purpose of this study is to explore whether 3D printing has a better clinical value for making a preoperative plan than three-dimensional computed tomography (3D-CT) in thoracoscopic pulmonary segmentectomy. METHODS: We collected a total of 124 patients' clinical data who underwent thoracoscopic pulmonary segmentectomy from October 2017 to August 2018. According to the preoperative examination, the patients were divided into three groups: general group, 3D-CT group, and 3D printing group. The clinical data of each group were analyzed and compared. RESULTS: Compared with the general group, intraoperative blood loss in 3D-CT group and 3D printing group decreased significantly (P<0.05). Operation time in 3D-CT group and 3D printing group was significantly shorter than in the general group (P<0.05). Between 3D-CT group and 3D printing group intraoperative blood loss and operation time had no significant differences (P>0.05). Postoperative chest tube duration and postoperative hospital stay had no significant differences between each group P>0.05). The incidence of postoperative hemoptysis in the general group occurred higher than in the 3D-CT group and 3D printing group, but the differences were not statistically significant (P>0.05). Postoperative complications of pneumonia, atelectasis, and pulmonary air leakage (>6 d) had no significant differences between each group (P>0.05). CONCLUSIONS: 3D printing and 3D-CT for making a preoperative plan have an equivalent effect in thoracoscopic pulmonary segmentectomy for experienced surgeons. Preoperative simulations using 3D printing for the assessment of pulmonary vessel and bronchi branching patterns is beneficial for the safe and efficient performance of thoracoscopic pulmonary segmentectomy. 2019 Translational Lung Cancer Research. All rights reserved.
BACKGROUND: The purpose of this study is to explore whether 3D printing has a better clinical value for making a preoperative plan than three-dimensional computed tomography (3D-CT) in thoracoscopic pulmonary segmentectomy. METHODS: We collected a total of 124 patients' clinical data who underwent thoracoscopic pulmonary segmentectomy from October 2017 to August 2018. According to the preoperative examination, the patients were divided into three groups: general group, 3D-CT group, and 3D printing group. The clinical data of each group were analyzed and compared. RESULTS: Compared with the general group, intraoperative blood loss in 3D-CT group and 3D printing group decreased significantly (P<0.05). Operation time in 3D-CT group and 3D printing group was significantly shorter than in the general group (P<0.05). Between 3D-CT group and 3D printing group intraoperative blood loss and operation time had no significant differences (P>0.05). Postoperative chest tube duration and postoperative hospital stay had no significant differences between each group P>0.05). The incidence of postoperative hemoptysis in the general group occurred higher than in the 3D-CT group and 3D printing group, but the differences were not statistically significant (P>0.05). Postoperative complications of pneumonia, atelectasis, and pulmonary air leakage (>6 d) had no significant differences between each group (P>0.05). CONCLUSIONS: 3D printing and 3D-CT for making a preoperative plan have an equivalent effect in thoracoscopic pulmonary segmentectomy for experienced surgeons. Preoperative simulations using 3D printing for the assessment of pulmonary vessel and bronchi branching patterns is beneficial for the safe and efficient performance of thoracoscopic pulmonary segmentectomy. 2019 Translational Lung Cancer Research. All rights reserved.
Authors: Se Joong Kim; Yeon Joo Lee; Jong Sun Park; Young-Jae Cho; Sukki Cho; Ho Il Yoon; Kwhanmien Kim; Jae Ho Lee; Sanghoon Jheon; Choon-Taek Lee Journal: Ann Thorac Surg Date: 2014-11-15 Impact factor: 4.330