微创旋切术与传统切除术治疗良性乳腺肿瘤患者的效果比较
Comparison on the Effects of Minimally Invasive Rotary Resection and Traditional Resection in the Treatment of Patients with Benign Breast Tumors
张春梅 1马茹2
作者信息
- 1. 河南省兰考第一医院乳腺外科,河南开封 475300
- 2. 河南省兰考第一医院彩超室,河南开封 475300
- 折叠
摘要
目的 比较微创旋切术与传统切除术治疗良性乳腺肿瘤患者的效果.方法 82 例良性乳腺肿瘤患者根据手术方法的不同分为传统组(传统切除术)和观察组(微创旋切术),比较两组的手术指标、术后疼痛程度和乳房外观美容效果.结果 观察组的手术时间、切口长度、切口愈合时间均短于传统组,术中出血量少于传统组,术后 6h的VAS评分低于传统组,术后 3 个月的乳房外观美容评分高于传统组(P＜0.05).观察组的并发症发生率为 4.76%,低于传统组的 22.50%(P＜0.05).结论 与传统切除术相比,微创旋切术治疗良性乳腺肿瘤患者的手术指标和术后乳房外观美容效果更佳,术后疼痛程度和并发症发生率更低.
Abstract
Objective To compare the effects of minimally invasive rotary resection and traditional resection in the treatment of patients with benign breast tumors.Methods 82 patients with benign breast tumors were divided into the traditional group(traditional resection)and the observation group(minimally invasive rotary resection)according to different surgical methods.The surgical indicators,postoperative pain degree and cosmetic effect of breast appearance were compared between the two groups.Results The operation time,incision length and incision healing time of the observation group were shorter than those of the traditional group,the intraoperative blood loss amount was less than that of the traditional group,the VAS score at 6 h after surgery was lower than that of the traditional group,and the breast appearance beauty score at 3 months after surgery was higher than that of the traditional group(P<0.05).The incidence of complications of the observation group was 4.76%,lower than 22.50%of the traditional group(P<0.05).Conclusions Compared with traditional resection,minimally invasive rotary resection in the treatment of patients with benign breast tumors has better surgical indicators and postoperative cosmetic effect of breast appearance,and lower postoperative pain degree and incidence of complications.
关键词
微创旋切术/传统切除术/良性乳腺肿瘤/疼痛程度/美容效果Key words
Minimally invasive rotary resection/Traditional resection/Benign breast tumor/Pain degree/Cosmetic effect引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据