Logistic回归模型评价常规超声联合声触诊组织成像定量技术诊断三阴性乳腺癌的价值

陈赛君; 詹锦勇; 徐开颖; 魏秀芝; 贲志飞

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Logistic回归模型评价常规超声联合声触诊组织成像定量技术诊断三阴性乳腺癌的价值

临床研究 | 更新时间：2023-10-11

- Logistic回归模型评价常规超声联合声触诊组织成像定量技术诊断三阴性乳腺癌的价值
- Wang Jue,Chen Saijun,Zhan Jinyong,Xu Kaiying,Wei Xiuzhi,Ben ZhifeiDepartment of Ultrasound, HwaMei Hosptial,University Of Chinese Academy Of Sciences ,Ningbo 315000, China
- 临床超声医学杂志 2022年24卷第5期
- 作者机构：
  
  中国科学院大学宁波华美医院
- 作者简介：
- 基金信息：
  
  浙江省医药卫生科技计划项目 (2020KY852) 浙江省基础公益研究项目(LQ19H180003)
- DOI：
  中图分类号：
- 纸质出版日期：2022，
  
  网络出版日期：2022-5-27，
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陈赛君, 詹锦勇, 徐开颖, 等. Logistic回归模型评价常规超声联合声触诊组织成像定量技术诊断三阴性乳腺癌的价值[J]. 临床超声医学杂志, 2022,24(5).

Wang Jue,Chen Saijun,Zhan Jinyong,Xu Kaiying,Wei Xiuzhi,Ben ZhifeiDepartment of Ultrasound, HwaMei Hosptial,University Of Chinese Academy Of Sciences ,Ningbo 315000, China[J]. Journal of Clinical Ultrasound in Medicine, 2022,24(5).
陈赛君, 詹锦勇, 徐开颖, 等. Logistic回归模型评价常规超声联合声触诊组织成像定量技术诊断三阴性乳腺癌的价值[J]. 临床超声医学杂志, 2022,24(5). DOI：

Wang Jue,Chen Saijun,Zhan Jinyong,Xu Kaiying,Wei Xiuzhi,Ben ZhifeiDepartment of Ultrasound, HwaMei Hosptial,University Of Chinese Academy Of Sciences ,Ningbo 315000, China[J]. Journal of Clinical Ultrasound in Medicine, 2022,24(5). DOI：

摘要

目的利用Logistic回归模型评价常规超声联合声触诊组织成像定量技术(VTIQ)对三阴性乳腺癌(TNBC)的诊断价值。方法回顾性分析170例乳腺癌患者的术前常规超声及VTIQ的声像图特征，应用曲线下面积（AUC）比较分析VTIQ各参数诊断TNBC的价值

筛选出诊断TNBC最有价值的指标

并建立常规超声联合VTIQ诊断TNBC的二分类Logistic回归模型。结果 TNBC和non-TNBC的最大SWV值、平均SWV值、最小SWV值、平均SWV值/正常乳腺值两组间比较差异均有统计学意义（P均＜0.01）

根据AUC显示最大SWV值的诊断效能最佳。多因素Logistic回归分析后显示诊断TNBC的超声特征为边缘不光整伴分叶、后方回声增强、形态规则、最大SWV值＜6.98m/s。该Logistic模型具有统计学意义（2=68.128，P＜0.01），该模型的敏感度、特异度、阳性预测值、阴性预测值分别为80.6%、85.7%、72.0%、87.6%。结论常规超声联合VTIQ的Logistic回归模型对TNBC有较高的诊断效能

可作为预测TNBC的一项重要参考指标。

Abstract

ABSTRACT Objective To evaluation of conventional ultrasound and virtual touch tissue imaging quantification(VTIQ) technology in the diagnosis of triple negative breast cancer(TNBC). Methods Conventional ultrasound and VTIQ were performed in 170 patients

ROC curves were used to compare the value of each indicator of VTIQ in diagnosing TNBC and to obtain the most valuable indicator.The ultrasonographic features of conventional ultrasound combine with VTIQ were summarized to screen out the most valuable indicators in diagnosing TNBC. Results The the differents of the SWVmax、SWVmean、SWVmin、SWVmean/mon of TNBC and non-TNBC were statistically different(all P＜0.01)

according to the area under the curve (AUC)

the most valuable indicator is SWVmax. Edge not Smoothing with phyllodes

posteriorenhancement

regular morphology

SWVmax＜6.98m/s were finally entered into the logistic regression model to diagnosis TNBC.The Logistic model has statistical significance（2=68.128，P＜0.01），the sensitivity，specificity，positive predictive value and negative predictive value were 80.6%、85.7%、72.0%、87.6%

respectively. Conclusions The Logistic regression model of conventional ultrasound combined with VTIQ has a high diagnostic efficiency for TNBC

it can be used as an important reference index to predict TNBC.

关键词

Logistic回归模型声触诊组织成像定量技术三阴性乳腺癌

Keywords

Logistic regressionVirtual touch tissue imaging quantificationTriple negative breast cancer

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绝经前和绝经后三阴性乳腺癌超声特征对比研究