Calcifications Affect Pathologic Complete Response and MRI Prediction after Neoadjuvant Chemotherapy in Human Epidermal Growth Factor Receptor 2-positive Breast Cancer
- Eun Sook Ko 1, Jong Han Yu 2, Sook-Young Woo 3, Seok Won Kim 2, Boo-Kyung Han 1, Eun Young Ko 1, Ji Soo Choi 1,4, Jeongmin Lee 1, Myoung Kyoung Kim 1, Haejung Kim 1
- Eun Sook Ko 1, Jong Han Yu 2, Sook-Young Woo 3
- 1Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.
- 2Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
- 3Biomedical Statistics Center, Data Science Research Institute, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea.
- 4Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.
- 0Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Calcifications in HER2-positive breast cancer may lower the accuracy of predicting pathologic complete response (pCR) using MRI-detected radiologic complete response (rCR). Absence of calcifications is linked to better treatment response and more reliable imaging predictions.
Area Of Science
- Oncology
- Radiology
- Breast Cancer Research
Background
- Optimal surgical management for HER2-positive breast cancer with calcifications is debated, especially when pathologic complete response (pCR) is anticipated.
- Predicting pCR using imaging before surgery is crucial for treatment planning in HER2-positive breast cancer.
Purpose Of The Study
- To identify factors associated with pCR after neoadjuvant chemotherapy in HER2-positive breast cancer patients.
- To evaluate the impact of calcifications on the accuracy of MRI-based radiologic complete response (rCR) in predicting pCR.
Main Methods
- Retrospective analysis of 732 HER2-positive breast cancer patients treated with neoadjuvant chemotherapy and surgery.
- Logistic regression used to analyze associations between clinicopathologic/imaging factors and pCR.
- Comparison of MRI rCR diagnostic performance for pCR prediction in patients with and without calcifications.
Main Results
- Factors associated with pCR included estrogen receptor-low subtype, hormone receptor-negative subtype, absence of calcifications, and rCR at MRI.
- Patients with calcifications had lower pCR rates (37.1%) and lower positive predictive value (PPV) of rCR at MRI (60.0%) compared to those without calcifications (pCR 48.4%, PPV 73.1%).
- Broadening the pCR definition to include ypT0/Tis eliminated the difference in pCR rates between patients with and without calcifications.
Conclusions
- Absence of calcifications is associated with a higher pCR rate in HER2-positive breast cancer.
- The presence of calcifications reduces the positive predictive value of MRI-detected rCR for predicting pCR.
- Imaging-based prediction of treatment response in HER2-positive breast cancer is influenced by the presence of calcifications.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

