Volume 23 Issue 11
Nov.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(11): 1915-1919
XU Ling, ZHAO Hong, GONG Xijun, ZOU Liwei, WANG Longsheng. Correlation between MRI imaging characteristics of non-mass-like breast cancer and Ki-67 expression levels in non-mass breast cancer[J]. Chinese Journal of General Practice, 2025, 23(11): 1915-1919. doi: 10.16766/j.cnki.issn.1674-4152.004259
Citation: XU Ling, ZHAO Hong, GONG Xijun, ZOU Liwei, WANG Longsheng. Correlation between MRI imaging characteristics of non-mass-like breast cancer and Ki-67 expression levels in non-mass breast cancer[J]. Chinese Journal of General Practice, 2025, 23(11): 1915-1919. doi: 10.16766/j.cnki.issn.1674-4152.004259
shu

Correlation between MRI imaging characteristics of non-mass-like breast cancer and Ki-67 expression levels in non-mass breast cancer

doi: 10.16766/j.cnki.issn.1674-4152.004259

  • Department of Radiology, the Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, China

Funds:

 AHWJ2023A10038

  • Received Date: 2024-11-15
    Available Online: 2026-01-07
    Abstract
  •   Objective  To investigate the correlation between MRI features of non-mass breast cancer and Ki-67 expression, providing a basis for non-invasive preoperative assessment of tumor proliferative activity.  Methods  From January 2020 to December 2023, fifty-one patients with pathologically confirmed non-mass breast cancer were enrolled at the Second Affiliated Hospital of Anhui Medical University. Based on postoperative pathology, they were stratified into a low Ki-67 expression group (n=15) and a high-expression group (n=36). Comparisons included clinical data and MRI features [mean apparent diffusion coefficient (ADC) value, axillary lymph node metastasis, enhancement distribution, internal enhancement pattern, time-intensity curve (TIC) curve].  Results  No significant differences were observed in age, mean ADC value, enhancement distribution, or internal enhancement between groups (P>0.05), with clustered ring enhancement predominating (47.06%, 24/51). The high-expression group showed significantly higher axillary lymph node metastasis rates than the low-expression group [58.33%(21/36) vs. 26.67% (4/15), P=0.041].TIC curves in the high Ki-67 group were categorized as type Ⅰ (1 case), type Ⅱ(15 cases), and type Ⅲ (20 cases), while the low Ki-67 group showed type Ⅰ (3 cases), type Ⅱ (9 cases), and type Ⅲ (3 cases). TIC distribution differed significantly between groups (P=0.018), with statistically significant differences in Ki-67 expression between type Ⅰ and Ⅲ curves (Bonferroni-corrected, P < 0.017). Axillary lymph node metastasis rate positively correlated with Ki-67 expression (Kendall' s tau-b=0.289, P=0.041). mean ADC value negatively correlated (r=-0.334, P=0.017), and TIC curve type positively correlated (r=0.303, P=0.031). The combined AUC of axillary lymph node metastasis and TIC curves for predicting Ki-67 expression was 0.761 (sensitivity 0.861, specificity 0.667), outperforming individual indicators (AUC: 0.658, 0.678).  Conclusion  Non-mass breast cancer frequently exhibits clustered ring enhancement. Axillary lymph node metastasis and TIC curves correlate with Ki-67 expression, and their combination improves predictive efficacy, offering value for preoperative assessment of tumor proliferative activity.

     

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