摘要
目的探讨人工智能辅助下三维可视化重建定位在早期非小细胞肺癌手术中的临床效果。方法回顾性分析该院在2018年1月—2020年12月收治的70例早期非小细胞肺癌患者,观察组37例,对照组33例。对照组患者手术前进行CT引导下乳腺穿刺定位针等穿刺定位;观察组患者手术前进行人工智能系统辅助下的三维可视化重建定位。比较两组患者的手术病灶定位准确率、手术方式选择(肺叶切除手术、肺段切除手术或肺楔形切除手术)及手术不良事件发生率等指标。结果肺野外周型病灶,观察组与对照组肺癌患者的手术病灶定位准确率均较高,差异无统计学意义(P>0.05);肺野内侧型病灶,观察组肺癌患者的手术病灶定位准确率(100.00%)明显优于对照组(56.25%),差异有统计学意义(P=0.002);观察组肺癌患者的手术方式选择(楔形切除手术)和对照组相比差异无统计学意义(χ^(2)=0.479,P>0.05);观察组肺癌患者的手术方式选择(肺段切除手术、肺叶切除手术)明显优于对照组,差异有统计学意义(χ^(2)=4.018、4.217,P<0.05);观察组肺癌患者的手术不良事件发生率明显低于对照组,差异有统计学意义(P<0.05)。结论早期非小细胞肺癌患者手术前进行人工智能辅助下的三维可视化重建定位,能够明显提高手术病灶定位准确率,降低手术的难度和困扰及手术不良事件的发生,有助于施行精准手术治疗,对提高早期非小细胞肺癌患者的手术治疗效果和保护肺功能具有重要临床价值。
Objective To explore the clinical effect of 3D visualization localization assisted by artificial intelligence in early non-small cell lung cancer surgery.Methods A retrospective analysis of 70 early non-small cell lung cancer patients admitted to the hospital from January 2018 to December 2020,37 cases in the observation group and 33 cases in the control group.The patients in the control group underwent CT-guided breast puncture positioning needles and other puncture positioning before surgery;the patients in the observation group underwent three-dimensional visualization reconstruction positioning assisted by the artificial intelligence system before surgery.The two groups of patients were compared with indicators such as the accuracy of surgical focus location,the selection of surgical methods(lobectomy,segmentectomy,or lung wedge resection),and the incidence of adverse surgical events.Results For peripheral lung lesions,the accuracy of operative lesion location in the observation group and the control group was higher,and the difference was not statistically significant(P>0.05).For medial lung field lesions,the accuracy of operative lesion location in the observation group(100.00%)was significantly better than that of the control group(56.25%),and the difference was statistically significant(P=0.002).There was no statistically significant difference in the choice of surgical method(wedge resection)between the observation group and the control group for lung cancer patients(χ^(2)=0.479,P>0.05).The choice of surgical methods(segmentectomy,lobectomy)of the observation group for lung cancer patients was significantly better than that of the control group,and the difference was statistically significant(χ^(2)=4.018,4.217,P<0.05).The incidence of adverse events in the observation group of lung cancer patients was significantly lower than that of the control group.The difference was statistically significant(P<0.05).Conclusion Early stage non-small cell lung cancer patients undergoing artificial intelligence-assisted three-dimensional visualization reconstruction and positioning before surgery can significantly improve the accuracy of surgical focus positioning,reduce the difficulty and trouble of surgery and the occurrence of adverse surgical events,and help implement precise surgical treatment.It has important clinical value for improving the surgical treatment effect of patients with early non-small cell lung cancer and protecting lung function.
作者
杨景伟
刘萌
赵泽玉
郭明涛
YANG Jingwei;LIU Meng;ZHAO Zeyu;GUO Mingtao(Department of Thoracic Surgery,Qingzhou Hospital Affiliated to Shandong First Medical University(Qingzhou People’s Hospital),Weifang,Shandong Province,262500 China)
出处
《系统医学》
2021年第21期128-131,135,共5页
Systems Medicine
基金
潍坊市卫生健康委员会科研基金资助项(No.wfwsjs_2018_026)。
关键词
人工智能
三维可视化定位
早期肺癌
肺段切除
不良事件
Artificial intelligence
Three-dimensional visualization
Early lung cancer
Segmental resection
Adverse events
作者简介
杨景伟(1971-),男,硕士,副主任医师,研究方向为胸心外科;通信作者:郭明涛(1972-),男,本科,主治医师,研究方向为医学影像科,E-mail:guomt@163.com。
