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find Author "LI Xiapeng" 1 results
  • Preoperative localization indication of clinical peripheral pulmonary ground-glass nodules by Da Vinci robot surgery

    ObjectiveTo investigate the preoperative localization of pulmonary glabrous nodules.MethodsA total of 192 patients admitted to General Hospital of Northern Theater Command from April 2012 to September 2019 were selected for the study. There were 95 males and 97 females at an age of 56.47±11.79 years. All patients completed preoperative examination, and were divided into a positioning group (n=97) and a non-positioning group (n=95) according to whether the preoperative positioning was performed. And the surgical indicators between the two groups were compared. According to the substance of ground-glass opacity, they were divided into a pure ground-glass nodules group (n=23) and a mixed ground-glass nodules group (n=74) in the positioning group and a pure ground-glass nodules group (n=14) and a mixed ground-glass nodules group (n=81) in the non-positioning group . According to the size and distance of the nodules from the pleura and whether the nodules could be detected, the corresponding linear function was obtained.ResultsThe operative time of methylene blue localization group was shorter than that of the no localization group. In the scatter plot, the corresponding diameter and depth of the nodules and the corresponding coordinate points which can be explored were described. And linear regression was performed on all the coordinate points to obtain the linear function: depth=0.648×diameter–1.446 (mm). It can be used as an indication for the preoperative localization of pure ground-glass nodules in Da Vinci robotic surgery. Linear function: depth=0.559 5×diameter+0.56 (mm). It can be used as an indication of preoperative localization of mixed ground-glass nodules in Da Vinci robotic surgery.ConclusionThis equation can be used as a preoperative indication for clinical peripheral pulmonary ground-glass nodules.

    Release date:2020-02-26 04:33 Export PDF Favorites Scan
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