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中华普外科手术学杂志(电子版) ›› 2026, Vol. 20 ›› Issue (03) : 284 -288. doi: 10.3877/cma.j.issn.1674-3946.2026.03.021

论著

乳腺癌新辅助化疗后乳腺钼靶微钙化术前评估的临床研究
田爱洁, 何晨熙, 孔凡庭()   
  1. 054000 河北邢台,邢台市人民医院放射科
  • 收稿日期:2025-08-01 出版日期:2026-06-26
  • 通信作者: 孔凡庭

A clinical study of preoperative evaluation with mammographic microcalcifications after neoadjuvant chemotherapy for breast cancer

Aijie Tian, Chenxi He, Fanting Kong()   

  1. Xingtai People's Hospital, Xingtai Hebei Province 054000, China
  • Received:2025-08-01 Published:2026-06-26
  • Corresponding author: Fanting Kong
  • Supported by:
    Medical science research project plan of Hebei Provincial Health Commission(20190175)
引用本文:

田爱洁, 何晨熙, 孔凡庭. 乳腺癌新辅助化疗后乳腺钼靶微钙化术前评估的临床研究[J/OL]. 中华普外科手术学杂志(电子版), 2026, 20(03): 284-288.

Aijie Tian, Chenxi He, Fanting Kong. A clinical study of preoperative evaluation with mammographic microcalcifications after neoadjuvant chemotherapy for breast cancer[J/OL]. Chinese Journal of Operative Procedures of General Surgery(Electronic Edition), 2026, 20(03): 284-288.

目的

评估术前残余乳腺钙化在新辅助化疗(NAC)后残余肿瘤预测中的价值。

方法

回顾性研究2020年1月至2024年12月接受NAC并在乳腺X线摄影中显示肿瘤床内或附近可疑微钙化的乳腺癌患者。通过磁共振成像(MRI)对残余微钙化和残余病灶进行分析,并与残余肿瘤的组织病理学结果及免疫组化标志物进行相关性研究。使用SPSS 28.0统计学软件分析数据,采用Fisher检验、Pearson卡方检验及组内相关系数(ICC)评估。P<0.05被认为具有统计学意义。

结果

共纳入96名患者,其中10名患者达到了病理完全缓解(pCR),可疑微钙化在10.4%(10/96)的患者中与良性病理相关。在其余86名未达到pCR的患者中,61.5%(59/96)的残余微钙化与侵袭性或原位癌相关,28.1%(27/96)与良性病理相关。与激素受体阴性(HR−)患者相比,激素受体阳性(HR+)患者的残余恶性微钙化比例最高(分别为48.9% vs. 13.5%;P=0.019)。MRI在预测所有亚型的残余肿瘤范围方面优于乳腺X线摄影中的残余微钙化(ICC=0.709 vs. 0.365)。对于HR/HER2+和HR/HER2-亚型,MRI与残余肿瘤大小的相关性更高(ICC分别为0.925、0.876)。

结论

在NAC后,乳腺X线摄影中微钙化的程度与38.5%的女性残余癌症的程度无相关性。无论微钙化的程度如何,微钙化、化疗后MRI上的残余肿瘤范围以及分子亚型可能成为评估化疗后残余癌症的准确工具。

Objective

To evaluate the value of preoperative residual breast calcifications in predicting residual tumor after neoadjuvant chemotherapy (NAC).

Methods

A retrospective study was conducted on breast cancer patients who received NAC from January 2020 to December 2024 and showed suspicious microcalcifications within or near the tumor bed on mammography. Residual microcalcifications and residual lesions were analyzed by magnetic resonance imaging (MRI), and correlated with histopathological findings of residual tumors and immunohistochemical markers. Statistical analysis was performed using SPSS 28.0, with Fisher's exact test, Pearson's chi-square test, and intraclass correlation coefficient (ICC). P<0.05 was considered statistically significant.

Results

A total of 96 patients were enrolled, including 10 who achieved pathological complete response (pCR). Suspicious microcalcifications were associated with benign pathology in 10.4% (10/96) of patients. Among the remaining 86 patients without pCR, residual microcalcifications were associated with invasive or in-situ carcinoma in 61.5% (59/96) and with benign pathology in 28.1% (27/96). The proportion of residual malignant microcalcifications was highest in hormone receptor-positive (HR+) patients compared with HR-negative (HR-) patients (48.9% vs. 13.5%, respectively; P=0.019). MRI was superior to residual microcalcifications on mammography in predicting residual tumor extent across all subtypes (ICC=0.709 vs. 0.365). MRI showed higher correlation with residual tumor size for HR/HER2+ and HR/HER2- subtypes (ICC=0.925 and 0.876, respectively).

Conclusion

After NAC, the extent of microcalcifications on mammography does not correlate with the extent of residual cancer in 38.5% of women. Regardless of the extent of microcalcifications, microcalcifications, residual tumor extent on post-chemotherapy MRI, and molecular subtype may serve as accurate tools for evaluating post-chemotherapy residual cancer.

图1 1例60岁女性患者确诊为左乳腺侵袭性导管癌[注:1A为在新辅助化疗(NAC)之前,乳腺X线摄影显示左侧上外象限有一个3 cm的高密度肿块,伴有微钙化(红箭头);1B为在NAC治疗后,左侧乳腺肿块显著缩小,但微钙化仍然存在。在先前肿瘤部位插入了一枚线性金属夹;1C为在NAC治疗后,组织细胞、淋巴细胞、间质弹性变和纤维组织取代了癌细胞(100X)。患者在乳腺及腋窝淋巴结中达到了病理完全缓解(pCR);1D为在NAC治疗后,良性乳腺导管中也观察到微钙化(200X)]
图2 1例39岁女性患者右乳腺确诊为侵袭性导管癌[注:2A为在新辅助化疗(NAC)前,观察到一个2 cm的模糊、不规则、高密度肿块,伴有分段分布的多形性微钙化(红箭头);2B为在NAC后,肿块的大小和微钙化的数量显著减少,但微钙化的范围没有明显变化。在先前肿瘤部位插入了两个线性金属夹;2C为NAC后的组织病理学显示微钙化位于残余导管内原位癌(DCIS)内(100X)。组织病理学结果显示残余1 cm的侵袭性导管癌和6.2 cm的DCIS。残余DCIS中微钙化的形态与首次达到病理完全缓解(pCR)的患者并无明显差异]
图3 残余病理肿瘤大小与乳腺X线摄影中残余微钙化之间的差异以及MRI中残余肿瘤[注:3A为残余病理肿瘤大小与乳腺X线摄影中残余微钙化之间的差异;3B为MRI中残余肿瘤. 实线:均值差(d=0.12 mm);虚线:95%一致性界限(LoA: −1.96SD至+1.96SD);阴影区:95%置信区间]
[1]
Albuainain RYBunajem FYAbdulla HA. Assessment of Tumor Response to Neoadjuvant Chemotherapy in Breast Cancer Using MRI and(18)F-FDG PET/CT[J]. Eur J Breast Health,2025,21(1):46-51.
[2]
Chen YChen STang W,et al. Multiparametric MRI Radiomics With Machine Learning for Differentiating HER2-Zero,-Low,and -Positive Breast Cancer: Model Development,Testing,and Interpretability Analysis[J]. AJR Am J Roentgenol,2025,224(1):e2431717.
[3]
Shigematsu HFujimoto MKobayashi Y,et al. Prognostic Value of MRI Assessment of Residual Peritumoral Edema in Breast Cancer Treated With Neoadjuvant Chemotherapy[J]. J Magn Reson Imaging,2025,61(2):944-955.
[4]
Ren WXi XZhang X,et al. Predicting molecular subtypes of breast cancer based on multi-parametric MRI dataset using deep learning method[J]. Magn Reson Imaging,2025,117:110305.
[5]
Jacob SChristofferson AFisch S,et al. Regional lymph node changes on breast MRI in patients with early-stage breast cancer receiving neoadjuvant chemo-immunotherapy[J]. Breast Cancer Res Treat,2025,209(1):147-159.
[6]
郭雯,任谊,魏庆忠. 改良VSD装置在乳腺癌改良根治术后腋窝引流中的临床应用价值[J/OL]. 中华普外科手术学杂志(电子版),2025,19(5):555-558.
[7]
Javadinia SAValizadeh NSaeedian A. Editorial for "Prognostic Value of MRI Assessment of Residual Peritumoral Edema in Breast Cancer Treated With Neoadjuvant Chemotherapy"[J]. J Magn Reson Imaging,2025,61(2):956-957.
[8]
刘小娜,史博慧,马晓霞,等. 乳腺癌不同手术方式对术后并发症及康复影响的对比观察[J/OL]. 中华普外科手术学杂志(电子版),2025,19(5):551-554.
[9]
Lyu SWang BXie T,et al. Multiparametric MRI for differentiating idiopathic granulomatous mastitis from invasive breast cancer:Improving radiologists' diagnostic accuracy[J]. Eur J Radiol,2025,184:111958.
[10]
Kwon MKo EYLee JE,et al. Prediction model for individualized precision surgery in breast cancer patients with complete response on MRI and residual calcifications on mammography after neoadjuvant chemotherapy[J]. Breast Cancer,2025,32(1):109-119.
[11]
Aloufi ASKhoumais NAhmed F,et al. Accuracy of Abbreviated Breast MRI in Diagnosing Breast Cancer in Women with Dense Breasts Compared with Standard Imaging Modalities[J]. Saudi J Med Med Sci,2025,13(1):7-17.
[12]
Yamaguchi KNakazono TEgashira R,et al. Relationship between kinetic parameters of ultrafast dynamic contrast-enhanced(DCE)MRI and tumor-infiltrating lymphocytes(TILs)in breast cancer[J]. Jpn J Radiol,2025,43(1):43-50.
[13]
Ahmed KAKim YArmaghani AJ,et al. Phase II Trial of Brain MRI Surveillance in Stage IV Breast Cancer[J]. Neuro Oncol,2025,11(7):54-63.
[14]
Ozcan BBMootz ARPolat DS,et al. Association of preoperative MRI with breast cancer treatment and survival: A single institution observational study[J]. Magn Reson Imaging,2025,118:110343.
[15]
Wang JWang LYang Z,et al. Application of machine learning in the analysis of multiparametric MRI data for the differentiation of treatment responses in breast cancer: retrospective study[J]. Eur J Cancer Prev,2025,34(1):56-65.
[16]
Janssen LMde Vries BBLPJanse MHA,et al. Tumor infiltrating lymphocytes and change in tumor load on MRI to assess response and prognosis after neoadjuvant chemotherapy in breast cancer[J]. Breast Cancer Res Treat,2025,209(1):167-175.
[17]
Shen FLiu QWang Y,et al. Comparison of[(18)F]FDG PET/CT and[(18)F]FDG PET/MRI in the Detection of Distant Metastases in Breast Cancer: A Meta-Analysis[J]. Clin Breast Cancer,2025,25(2):e113-e123.
[18]
Liao JXu ZXie Y,et al. Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI Study[J]. J Magn Reson Imaging,2025,61(3):1221-1231.
[19]
鲁果果,王轩轩,马爱珍. 最小表观扩散系数值与浸润性乳腺癌生物学预后因子的关系分析[J]. 中国CT和MRI杂志,2024,22(6):85-87.
[20]
王巍巍,刘艳超,李颖,等. DCE-MRI预测乳腺癌NAC治疗后病理完全缓解的可行性研究[J]. 中国CT和MRI杂志,2024,22(7):114-117.
[21]
梁云,肖运平,主晓磊,等. 多模式MRI联合CA125、CA153、CA199预测乳腺癌术后复发转移的临床价值研究[J]. 中国CT和MRI杂志,2024,22(2):92-94.
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