HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study

Objective 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.Methods We included a total of 62 patients with...

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Main Authors: Xiao-Dan Zhang, Min Kou, Wei-Yan Zou, Xu Duan, Gui-Xin Di, Wei Qin, Li-Hui Bian, Ze-Peng Ma
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Annals of Medicine
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Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2024.2434182
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author Xiao-Dan Zhang
Min Kou
Wei-Yan Zou
Xu Duan
Gui-Xin Di
Wei Qin
Li-Hui Bian
Ze-Peng Ma
author_facet Xiao-Dan Zhang
Min Kou
Wei-Yan Zou
Xu Duan
Gui-Xin Di
Wei Qin
Li-Hui Bian
Ze-Peng Ma
author_sort Xiao-Dan Zhang
collection DOAJ
description Objective 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.Methods 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.Results There was a statistically significant difference between the HER-2 positive and the HER-2 negative groups (p = 0.005) in the hyperechoic halo sign around the lesion detected by ultrasonography as well as in the apparent diffusion coefficient (ADC) on MRI (p = 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 mm2/s, the sensitivity and specificity were 65.5% and 51.5%, respectively.Conclusion 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.
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spelling doaj-art-71b955426ab04abe95f2d9f848d7338a2025-08-20T02:18:21ZengTaylor & Francis GroupAnnals of Medicine0785-38901365-20602024-12-0156110.1080/07853890.2024.2434182HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot studyXiao-Dan Zhang0Min Kou1Wei-Yan Zou2Xu Duan3Gui-Xin Di4Wei Qin5Li-Hui Bian6Ze-Peng Ma7Department of Ultrasound, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Ultrasound, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Ultrasound, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Ultrasound, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Ultrasound, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Integrated Chinese and Western Medicine, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Pathology, Affiliated Hospital of Hebei University, Baoding, ChinaDepartment of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, ChinaObjective 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.Methods 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.Results There was a statistically significant difference between the HER-2 positive and the HER-2 negative groups (p = 0.005) in the hyperechoic halo sign around the lesion detected by ultrasonography as well as in the apparent diffusion coefficient (ADC) on MRI (p = 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 mm2/s, the sensitivity and specificity were 65.5% and 51.5%, respectively.Conclusion 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.https://www.tandfonline.com/doi/10.1080/07853890.2024.2434182ADCbreast cancerHER-2hyperechoic halomultimodal imaging
spellingShingle Xiao-Dan Zhang
Min Kou
Wei-Yan Zou
Xu Duan
Gui-Xin Di
Wei Qin
Li-Hui Bian
Ze-Peng Ma
HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study
Annals of Medicine
ADC
breast cancer
HER-2
hyperechoic halo
multimodal imaging
title HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study
title_full HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study
title_fullStr HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study
title_full_unstemmed HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study
title_short HER-2 expression is correlated with multimodal imaging features in breast cancer: a pilot study
title_sort her 2 expression is correlated with multimodal imaging features in breast cancer a pilot study
topic ADC
breast cancer
HER-2
hyperechoic halo
multimodal imaging
url https://www.tandfonline.com/doi/10.1080/07853890.2024.2434182
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