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动态对比增强磁共振成像中肿瘤强化及缩小模式用于预测乳腺癌人表皮生长因子受体2(HER2)靶向治疗后的病理完全缓解

Tumor enhancement and shrinkage pattern in dynamic contrast-enhanced magnetic resonance imaging for predicting pathologic complete response after human epidermal growth factor receptor 2 (HER2)-targeted therapy in breast cancer.

作者信息

Yi Chunyan, Li Lin, Ma Jie

机构信息

Department of Radiology, Shenzhen People's Hospital, Shenzhen, China.

Department of Radiology, Cancer Hospital Chinese Academy of Medical Science, Shenzhen Center, Shenzhen, China.

出版信息

Quant Imaging Med Surg. 2024 Sep 1;14(9):6734-6744. doi: 10.21037/qims-24-447. Epub 2024 Aug 19.

DOI:10.21037/qims-24-447
PMID:39281138
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11400649/
Abstract

BACKGROUND

Targeted therapy with neoadjuvant chemotherapy for patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer has increased the rates of pathological complete response (pCR) and breast preservation surgery and improved the overall disease-free survival rate. This study aimed to determine whether tumor enhancement and shrinkage patterns in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict the efficacy of targeted therapy in patients with HER2-positive breast cancer and differentiate pCR from non-pCR.

METHODS

The data of 64 patients with HER2-positive breast cancer who received targeted therapy prior to surgery were retrospectively collected. All patients had complete postoperative pathological data. The pretreatment evaluation of the tumor enhancement pattern and the shrinkage pattern after two treatment cycles were assessed. The difference in the enhancement and shrinkage patterns between the pCR and non-pCR groups was evaluated via the χ test. Logistic regression analysis was used to assess the value of enhancement and shrinkage patterns for predicting pCR in patients with HER2-positive breast cancer.

RESULTS

There were statistically significant differences in tumor size, estrogen receptor (ER) status, lymph node metastasis, enhancement pattern, and shrinkage pattern between the pCR and non-pCR cases. Patients with a tumor size ≤20 mm were likely to achieve pCR. ER status, lymph node metastasis, and enhancement and shrinkage patterns each had good precision for predicting pCR, and the combination of enhancement and shrinkage patterns had the highest prediction accuracy. Multivariate logistic regression analysis indicated that only enhancement pattern had a significant predictive value.

CONCLUSIONS

Among patients with HER2-positive breast cancer, those with tumor size ≤20 mm, ER-negative status, no lymph node metastases, and mass enhancement and concentric shrinkage patterns are more likely to achieve pCR. Mass enhancement combined with concentric shrinkage had the highest accuracy in predicting pCR, indicating that preoperative imaging may be useful for guiding clinical decisions regarding targeted treatments.

摘要

背景

人表皮生长因子受体2(HER2)阳性乳腺癌患者接受新辅助化疗的靶向治疗提高了病理完全缓解(pCR)率和保乳手术率,并改善了总体无病生存率。本研究旨在确定动态对比增强磁共振成像(DCE-MRI)中的肿瘤强化和缩小模式是否能预测HER2阳性乳腺癌患者的靶向治疗疗效,并区分pCR与非pCR。

方法

回顾性收集64例术前接受靶向治疗的HER2阳性乳腺癌患者的数据。所有患者均有完整的术后病理数据。评估肿瘤强化模式的术前评估以及两个治疗周期后的缩小模式。通过χ检验评估pCR组和非pCR组之间强化和缩小模式的差异。采用逻辑回归分析评估强化和缩小模式对预测HER2阳性乳腺癌患者pCR的价值。

结果

pCR病例与非pCR病例在肿瘤大小、雌激素受体(ER)状态、淋巴结转移、强化模式和缩小模式方面存在统计学显著差异。肿瘤大小≤20 mm的患者更有可能实现pCR。ER状态、淋巴结转移以及强化和缩小模式在预测pCR方面均具有良好的准确性,且强化和缩小模式的组合具有最高的预测准确性。多变量逻辑回归分析表明,只有强化模式具有显著的预测价值。

结论

在HER2阳性乳腺癌患者中,肿瘤大小≤20 mm、ER阴性状态、无淋巴结转移以及肿块强化和向心性缩小模式的患者更有可能实现pCR。肿块强化与向心性缩小相结合在预测pCR方面具有最高的准确性,表明术前影像学检查可能有助于指导靶向治疗的临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/be0c5b0bd78a/qims-14-09-6734-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/c681619f6f9b/qims-14-09-6734-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/49d0906823b9/qims-14-09-6734-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/be0c5b0bd78a/qims-14-09-6734-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/c681619f6f9b/qims-14-09-6734-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/49d0906823b9/qims-14-09-6734-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03ab/11400649/be0c5b0bd78a/qims-14-09-6734-f3.jpg

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本文引用的文献

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Quant Imaging Med Surg. 2023 Jul 1;13(7):4089-4102. doi: 10.21037/qims-22-869. Epub 2023 Apr 20.
2
Comparative study of pathological response evaluation systems after neoadjuvant chemotherapy for breast cancer: developing predictive models of multimodal ultrasound features including shear wave elastography combined with puncture pathology.乳腺癌新辅助化疗后病理反应评估系统的比较研究:建立包括剪切波弹性成像联合穿刺病理的多模态超声特征预测模型
Quant Imaging Med Surg. 2023 May 1;13(5):3013-3028. doi: 10.21037/qims-22-910. Epub 2023 Mar 31.
3
MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer.基于 MRI 的机器学习放射组学可预测 HER2 过表达乳腺癌新辅助治疗后 HER2 表达水平和病理反应。
EBioMedicine. 2020 Nov;61:103042. doi: 10.1016/j.ebiom.2020.103042. Epub 2020 Oct 8.
4
Clinicopathologic Factors Associated With Response to Neoadjuvant Anti-HER2-Directed Chemotherapy in HER2-Positive Breast Cancer.与曲妥珠单抗为基础的新辅助化疗治疗人表皮生长因子受体 2 阳性乳腺癌疗效相关的临床病理因素。
Clin Breast Cancer. 2020 Feb;20(1):19-24. doi: 10.1016/j.clbc.2019.09.003. Epub 2019 Sep 18.
5
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Acad Radiol. 2020 May;27(5):e87-e93. doi: 10.1016/j.acra.2019.07.011. Epub 2019 Aug 20.
6
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9
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Clin Cancer Res. 2019 Jul 1;25(13):3887-3895. doi: 10.1158/1078-0432.CCR-18-2507. Epub 2019 Feb 27.
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Radiology. 2018 Oct;289(1):30-38. doi: 10.1148/radiol.2018172888. Epub 2018 Jul 24.