A nomogram integrating DCE-MRI imaging features and clinicopathological parameters for predicting pathological complete response in HER2-positive breast cancer - Report - MDSpire
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A nomogram integrating DCE-MRI imaging features and clinicopathological parameters for predicting pathological complete response in HER2-positive breast cancer
Clinical Report: Predictive Nomogram for pCR in HER2-Positive Breast Cancer
Overview
This study developed and validated a nomogram that combines DCE-MRI imaging characteristics and clinicopathological factors to predict pathological complete response (pCR) in HER2-positive breast cancer patients undergoing neoadjuvant chemotherapy. The nomogram showed an AUC of 0.823 in the training cohort and 0.795 in the validation cohort.
Background
HER2-positive breast cancer accounts for 15-20% of all breast cancer cases and is associated with aggressive behavior and poorer prognosis. Neoadjuvant chemotherapy (NAC) is standard treatment, with pCR serving as a key prognostic indicator.
Data Highlights
Parameter
Value
Overall pCR Rate
44.6% (74/166)
pCR Rate HR-/HER2+
52.2%
pCR Rate HR+/HER2+
38.5%
AUC Training Cohort
0.823 (95% CI: 0.754-0.892)
AUC Validation Cohort
0.795 (95% CI: 0.691-0.899)
Key Findings
The overall pCR rate was 44.6% among evaluable patients.
HR-/HER2+ patients had a significantly higher pCR rate (52.2%) compared to HR+/HER2+ patients (38.5%, P = 0.048).
Independent predictors of pCR included ADCmin value, Ki-67 index, tumor size, clinical N stage, and HR status.
The nomogram showed excellent discrimination with AUC values of 0.823 and 0.795 in training and validation cohorts, respectively.
Calibration plots indicated good agreement (Hosmer-Lemeshow P = 0.412).
Clinical Implications
The nomogram developed in this study can assist clinicians in predicting pCR in HER2-positive breast cancer patients receiving NAC.
Conclusion
The integration of DCE-MRI features with clinicopathological parameters in a nomogram provides a predictive tool for assessing pCR in HER2-positive breast cancer patients.