Zhang Xiao-Dan, Kou Min, Zou Wei-Yan, Duan Xu, Di Gui-Xin, Qin Wei, Bian Li-Hui, Ma Ze-Peng
Department of Ultrasound, Affiliated Hospital of Hebei University, Baoding, China.
Department of Integrated Chinese and Western Medicine, Affiliated Hospital of Hebei University, Baoding, China.
Ann Med. 2024 Dec;56(1):2434182. doi: 10.1080/07853890.2024.2434182. Epub 2024 Dec 1.
A pilot study to evaluate the correlation between multimodal imaging features and the expression of the human epidermal growth factor receptor type 2 (HER-2) in breast cancer to provide a basis for clinical treatment and prognosis evaluation.
We included a total of 62 patients with breast cancer admitted to the Affiliated Hospital of Hebei University between 2018 and 2022. All of them underwent the relevant investigations, including ultrasound, mammography, and enhanced magnetic resonance imaging (MRI), in the hospital within one month before surgery or biopsy. HER-2 expression level was divided into negative and positive by immunohistochemistry(IHC). Using SPSS 24.0 statistical software to analyze the differences in imaging features between the HER-2 positive and the HER-2 negative groups.
There was a statistically significant difference between the HER-2 positive and the HER-2 negative groups ( = 0.005) in the hyperechoic halo sign around the lesion detected by ultrasonography as well as in the apparent diffusion coefficient (ADC) on MRI ( = 0.047). The sensitivity and specificity of the hyperechoic halo sign in predicting HER-2 positivity was 48.3% and 84.8% respectively, and the area under the curve (AUC) for the ADC value to predict HER-2 expression was 0.533. When b was equal to 800 and the ADC value (cutoff value) was 0.000888 mm/s, the sensitivity and specificity were 65.5% and 51.5%, respectively.
A combination of multimodal imaging features and HER-2 gene expression can provide more valuable information for clinical diagnosis and therapeutic schedule in breast cancer.
开展一项前瞻性研究，评估乳腺癌多模态成像特征与人类表皮生长因子受体2（HER-2）表达之间的相关性，为临床治疗和预后评估提供依据。
选取2018年至2022年在河北大学附属医院收治的62例乳腺癌患者。所有患者在手术或活检前1个月内在本院接受了包括超声、乳腺X线摄影和增强磁共振成像（MRI）在内的相关检查。通过免疫组织化学（IHC）将HER-2表达水平分为阴性和阳性。使用SPSS 24.0统计软件分析HER-2阳性组和HER-2阴性组之间的成像特征差异。
超声检测到的病变周围高回声晕征以及MRI上的表观扩散系数（ADC）在HER-2阳性组和HER-2阴性组之间存在统计学显著差异（P = 0.005）（P = 0.047）。高回声晕征预测HER-2阳性的敏感性和特异性分别为48.3%和84.8%，ADC值预测HER-2表达的曲线下面积（AUC）为0.533。当b等于800且ADC值（截断值）为0.000888 mm²/s时，敏感性和特异性分别为65.5%和51.5%。
多模态成像特征与HER-2基因表达相结合可为乳腺癌的临床诊断和治疗方案提供更有价值的信息。
