| 基于超声造影的列线图模型预测乳腺癌患者HER-2表达的临床价值 |
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| 引用本文： | 林燕霞,吴才标,王小霞. 基于超声造影的列线图模型预测乳腺癌患者HER-2表达的临床价值[J]. 临床超声医学杂志, 2024, 26(8) |
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| 作者姓名： | 林燕霞 吴才标 王小霞 |
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| 作者单位： | 海口市第四人民医院,海口市第四人民医院,海口市第四人民医院 |
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| 摘 要： | 目的： 探讨超声增强造影(Contrast-Enhanced Ultrasound,CEUS)超声特征用于预测乳腺癌患者人表皮生长因子受体2(Human epidermal growth factor receptor 2,HER-2)表达状态的效果。方法：前瞻性纳入2018年2月至2019年12月于我院就诊的88例乳腺癌患者为研究对象,入院时收集所有受试者CEUS超声特征资料,并接受乳腺癌常规治疗,治疗出院后通过门诊或电话随访1年,于末次随访时检测患者HER-2表达情况,并根据患者末次HER-2表达情况分为阳性组和阴性组。采用logistics回归方程分析CEUS超声特征与乳腺癌患者HER-2表达状态的相关性,并构建基于CEUS超声特征的预测模型,分析其预测HER-2表达状态的价值。结果：截止末次随访日期2020年12月18日,共4例患者失访,5例患者死亡,最终79例患者完成随访,其中42例患者HER-2表达阳性,为阳性组,37例HER-2表达阴性的患者为阴性组。单变量分析显示CEUS超声特征充盈缺损、穿支血管征、PT、AUC、K值阳性组和阴性组间存在差异(P<0.05);Logistics分析显示CEUS超声特Logistics分析显示CEUS超声特征穿支血管征(OR=22.015)、PT(OR=0.381)、AUC(OR=1.629)、K(OR=4.010)与乳腺癌患者HER-2表达状态具相关性;构建CEUS超声特征的列线图预测模型显示该预测模型预测乳腺癌患者HER-2表达状态的C-index为0.946,校正曲线显示列线图模型预测可能性绝对误差为0.016。结论：CEUS超声特征穿支血管征、PT、AUC、K值与乳腺癌患者HER-2表达状态具相关性,基于此建立的预测模型可作为临床医师早期预测乳腺癌患者HER-2阳性表达的工具。
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| 关 键 词： | 超声增强造影 超声特征 乳腺癌 人表皮生长因子受体2 |
| 收稿时间： | 2023-07-10 |
| 修稿时间： | 2023-10-20 |
Construct a nomogram prediction model for HER-2 expression status in breast cancer patients based on CEUS ultrasound features |
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| linyanxi,wucaibiao and wangxiaoxia. Construct a nomogram prediction model for HER-2 expression status in breast cancer patients based on CEUS ultrasound features[J]. Journal of Ultrasound in Clinical Medicine, 2024, 26(8) |
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| Authors: | linyanxi wucaibiao wangxiaoxia |
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| Abstract: | Objective: To investigate the effect of the ultrasound features of Contrast-Enhanced Ultrasound (CEUS) in predicting the expression status of human epidermal growth factor receptor 2 (HER-2) in breast cancer patients. Methods: Prospectively enrolled 88 breast cancer patients who were treated in our hospital from February 2018 to December 2019 as research subjects. CEUS ultrasound characteristics of all subjects were collected upon admission and received conventional breast cancer treatment. After discharge from the hospital The patients were followed up for 1 year through the outpatient clinic or telephone, and the HER-2 expression of the patients was detected at the last follow-up, and the patients were divided into a positive group and a negative group according to the last HER-2 expression of the patients. The logistics regression equation was used to analyze the correlation between CEUS ultrasound features and HER-2 expression status in breast cancer patients, and a prediction model based on CEUS ultrasound features was constructed to analyze its value in predicting HER-2 expression status. Results: As of the last follow-up date of December 18, 2020, a total of 4 patients were lost to follow-up, 5 patients died, and finally 79 patients completed follow-up. Among them, 42 patients were positive for HER-2 and were in the positive group, and 37 were HER- 2 Patients with negative expression are the negative group. Univariate analysis showed that CEUS ultrasound characteristic filling defect, perforating vessel sign, PT, AUC, K value positive group and negative group were different (P<0.05); Logistics analysis showed CEUS ultrasound characteristic Logistics analysis showed CEUS ultrasound characteristic perforating vessel Signs (OR=22.015), PT (OR=0.381), AUC (OR=1.629), K (OR=4.010) are correlated with the HER-2 expression status of breast cancer patients; construct a nomogram prediction model of CEUS ultrasound features The C-index showing that the prediction model predicts the HER-2 expression state of breast cancer patients is 0.946, and the calibration curve shows that the absolute error of the prediction probability of the nomogram model is 0.016. Conclusion: CEUS ultrasound features perforator signs, PT, AUC, and K values are correlated with the HER-2 expression status of breast cancer patients. The prediction model established based on this can be used as an early predictor for clinicians to predict the positive expression of HER-2 in breast cancer patients. tool. |
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| Keywords: | Contrast-enhanced ultrasound Ultrasound features Breast cancer Human epidermal growth factor receptor 2 |
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