Suppr超能文献

新辅助化疗后保乳的风险评分系统。

Risk scoring system for predicting breast conservation after neoadjuvant chemotherapy.

机构信息

Department of Gynecology, Centre Hospitalier Universitaire de Tours, Tours, France.

INSERM U1069, Université François-Rabelais, Tours, France.

出版信息

Breast J. 2019 Jul;25(4):696-701. doi: 10.1111/tbj.13303. Epub 2019 May 7.

Abstract

We developed a risk scoring system (RSS) for predicting breast conservative surgery (BCS) in women receiving neoadjuvant chemotherapy(NAC) for breast cancer. BCS rate in the training set was 32.6%, associated with five variables: age < 50years, primary radiological tumor diameter < 60mm, absence of multifocality, absence of breast inflammation and hormone receptor status. These variables were assigned scores ranging from 0 to 9. The discrimination of the RSS was 0.78(95%CI 0.69-0.86) in the training set. The area under the curve of the receiver operating characteristics for predicting BCS after internal and external validation was 0.77(95%CI 0.68-0.85) and 0.75(95%CI 0.66-0.84), respectively.

摘要

我们开发了一种风险评分系统 (RSS),用于预测接受新辅助化疗 (NAC) 的乳腺癌女性行保乳手术 (BCS) 的可能性。在训练集中,BCS 率为 32.6%,与五个变量相关:年龄<50 岁、原发影像学肿瘤直径<60mm、无多灶性、无乳腺炎症和激素受体状态。这些变量的评分范围为 0 至 9。RSS 在训练集中的判别能力为 0.78(95%CI 0.69-0.86)。内部和外部验证后,预测 BCS 的受试者工作特征曲线下面积分别为 0.77(95%CI 0.68-0.85)和 0.75(95%CI 0.66-0.84)。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验