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3.0T高分辨率磁共振成像、超声成像及GATA3蛋白表达在乳腺癌中的多维评估及其预后分析

Multidimensional evaluation of 3.0T HR-MRI, ultrasound imaging, and GATA3 protein expression in breast cancer, and their prognostic analysis.

作者信息

Bai Yang, Xie Ting, Mo Xiangyang, Luo Yong, Chen Man

机构信息

The Second Affiliated Hospital, Department of Ultrasound Medicine, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

The Second Affiliated Hospital, Department of Emergency, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

出版信息

Front Oncol. 2025 Aug 13;15:1587243. doi: 10.3389/fonc.2025.1587243. eCollection 2025.


DOI:10.3389/fonc.2025.1587243
PMID:40881878
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12380681/
Abstract

OBJECTIVE: To evaluate the diagnostic value of 3.0T high-resolution magnetic resonance imaging (3.0T HR-MRI), ultrasound imaging, and GATA3 protein expression in breast cancer (BC) and their prognostic implications. METHODS: A retrospective analysis of 143 BC patients was conducted. All patients underwent preoperative 3.0T HR-MRI and ultrasound examinations. Diffusion tensor imaging (DTI) parameters, including mean diffusivity (MD), fractional anisotropy (FA), radial diffusivity (Dr), and axial diffusivity (Da), were assessed. Ultrasound features such as tumor morphology, vascularity, and posterior acoustic characteristics were analyzed. Immunohistochemistry was performed to detect GATA3 expression, and correlations with imaging parameters and prognosis were evaluated. RESULTS: GATA3 expression was significantly associated with BC pathological subtypes ( = 26.59, P < 0.0001). Compared with the GATA3-negative group, GATA3-positive tumors exhibited lower FA but higher MD, Dr, and Da values (P < 0.05), suggesting more preserved tissue structure. Ultrasound analysis showed that GATA3-positive tumors had less vascularity, posterior attenuation, and irregular margins (P < 0.05). Poor prognosis was associated with higher FA and lower MD, Dr, and Da values (P < 0.0001), as well as more aggressive ultrasound features. ROC analysis demonstrated superior prognostic performance when combining GATA3 expression, MRI, and ultrasound parameters (AUC = 0.9695, sensitivity = 83.54%, specificity = 96.88%). CONCLUSION: 3.0T HR-MRI and ultrasound provide complementary insights into BC characteristics. GATA3 expression is associated with better prognosis, and their combined analysis enhances diagnostic accuracy and prognostic evaluation.

摘要

目的:评估3.0T高分辨率磁共振成像(3.0T HR-MRI)、超声成像及GATA3蛋白表达在乳腺癌(BC)中的诊断价值及其预后意义。 方法:对143例BC患者进行回顾性分析。所有患者术前行3.0T HR-MRI和超声检查。评估扩散张量成像(DTI)参数,包括平均扩散率(MD)、各向异性分数(FA)、径向扩散率(Dr)和轴向扩散率(Da)。分析肿瘤形态、血管分布及后方回声特征等超声特征。进行免疫组织化学检测GATA3表达,并评估其与成像参数及预后的相关性。 结果:GATA3表达与BC病理亚型显著相关( = 26.59,P < 0.0001)。与GATA3阴性组相比,GATA3阳性肿瘤的FA值较低,但MD、Dr和Da值较高(P < 0.05),提示组织结构保存较好。超声分析显示,GATA3阳性肿瘤的血管分布较少、后方衰减及边缘不规则(P < 0.05)。预后不良与较高的FA值及较低的MD、Dr和Da值相关(P < 0.0001),以及更具侵袭性的超声特征。ROC分析表明,联合GATA3表达、MRI和超声参数时具有更好的预后性能(AUC = 0.9695,敏感性 = 83.54%,特异性 = 96.88%)。 结论:3.0T HR-MRI和超声为BC特征提供了互补的见解。GATA3表达与较好的预后相关,联合分析可提高诊断准确性和预后评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/eead4678bd42/fonc-15-1587243-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/9063b4250389/fonc-15-1587243-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/0b13f321a5cf/fonc-15-1587243-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/b69f0fffb705/fonc-15-1587243-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/eead4678bd42/fonc-15-1587243-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/9063b4250389/fonc-15-1587243-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/0b13f321a5cf/fonc-15-1587243-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/b69f0fffb705/fonc-15-1587243-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e017/12380681/eead4678bd42/fonc-15-1587243-g004.jpg

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Multidimensional evaluation of 3.0T HR-MRI, ultrasound imaging, and GATA3 protein expression in breast cancer, and their prognostic analysis.

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本文引用的文献

[1]
Revolutionizing HER-2 assessment: multidimensional radiomics in breast cancer diagnosis.

BMC Cancer. 2025-2-14

[2]
Detecting early-stage breast cancer with GATA3-positive circulating tumor cells.

Taiwan J Obstet Gynecol. 2024-9

[3]
Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T.

Diagnostics (Basel). 2024-8-10

[4]
Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.

Acad Radiol. 2025-1

[5]
GATA3 functions downstream of BRCA1 to promote DNA damage repair and suppress dedifferentiation in breast cancer.

BMC Biol. 2024-4-16

[6]
A Multiparametric MRI-based Radiomics Model for Stratifying Postoperative Recurrence in Luminal B Breast Cancer.

J Imaging Inform Med. 2024-8

[7]
Breast cancer highlights from 2023: Knowledge to guide practice and future research.

Breast. 2024-4

[8]
The androgen receptor interacts with GATA3 to transcriptionally regulate a luminal epithelial cell phenotype in breast cancer.

Genome Biol. 2024-2-5

[9]
Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis.

Clin Hemorheol Microcirc. 2023

[10]
Comparative Performance of Contrast-enhanced Mammography, Abbreviated Breast MRI, and Standard Breast MRI for Breast Cancer Screening.

Radiology. 2023-8

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