MRI Response to Neoadjuvant Chemotherapy and Prognostic Implications in Breast Cancer Patients.
코호트
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
571 patients were included (mean age 46 years, range 26-90).
I · Intervention 중재 / 시술
NAC and preoperative breast MRI
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Integrating MRI and pathological response assessments after NAC may enhance risk stratification and prognostication, especially in triple-negative breast cancer. [ADVANCES IN KNOWLEDGE] Patients with both non-rCR and non-pCR have significantly worse DFS, underscoring the prognostic value of combining imaging and pathological findings, particularly in TNBC.
[OBJECTIVE] To correlate response evaluation after neoadjuvant chemotherapy (NAC), assessed by magnetic resonance imaging (MRI) and pathology, with disease-free survival (DFS) in breast cancer patient
- p-value p = 0.001
- p-value p < 0.001
- 95% CI 2.696-22.149
- 연구 설계 cohort study
APA
Damião SQ, Ferreira Rodrigues da Cunha E, et al. (2026). MRI Response to Neoadjuvant Chemotherapy and Prognostic Implications in Breast Cancer Patients.. The British journal of radiology. https://doi.org/10.1093/bjr/tqag023
MLA
Damião SQ, et al.. "MRI Response to Neoadjuvant Chemotherapy and Prognostic Implications in Breast Cancer Patients.." The British journal of radiology, 2026.
PMID
41615457
Abstract
[OBJECTIVE] To correlate response evaluation after neoadjuvant chemotherapy (NAC), assessed by magnetic resonance imaging (MRI) and pathology, with disease-free survival (DFS) in breast cancer patients, according to immunophenotype.
[METHODS] Single-center, IRB-approved retrospective cohort study included consecutive breast cancer patients who underwent NAC and preoperative breast MRI. Pathologic response was evaluated using the residual cancer burden (RCB) system, with pathological complete response (pCR) defined as the absence of invasive carcinoma. Radiological complete response (rCR) was defined as the absence of abnormal enhancement on MRI. The Kaplan-Meier method estimated DFS and Cox regression analysis calculated hazard ratios (HR).
[RESULTS] 571 patients were included (mean age 46 years, range 26-90). The most common immunophenotype was Luminal (42.3%), followed by triple-negative (TNBC, 31.5%) and HER2-overexpressed (26.3%). Radiological and pathological responses were concordant in 71.5%. Overall, 35.2% achieved rCR and 37.5% achieved pCR. DFS curves did not differ significantly according to radiologic-pathologic response combinations in Luminal or HER2 groups (LogRank p = 0.505 and p = 0.257). In the TNBC group, patients without pCR or rCR had significantly worse DFS compared to those achieving either response (LogRank p = 0.001). Cox regression revealed that TNBC patients with both non-rCR and non-pCR had a markedly higher risk of recurrence or death (HR 7.728; 95%CI 2.696-22.149; p < 0.001).
[CONCLUSIONS] Integrating MRI and pathological response assessments after NAC may enhance risk stratification and prognostication, especially in triple-negative breast cancer.
[ADVANCES IN KNOWLEDGE] Patients with both non-rCR and non-pCR have significantly worse DFS, underscoring the prognostic value of combining imaging and pathological findings, particularly in TNBC.
[METHODS] Single-center, IRB-approved retrospective cohort study included consecutive breast cancer patients who underwent NAC and preoperative breast MRI. Pathologic response was evaluated using the residual cancer burden (RCB) system, with pathological complete response (pCR) defined as the absence of invasive carcinoma. Radiological complete response (rCR) was defined as the absence of abnormal enhancement on MRI. The Kaplan-Meier method estimated DFS and Cox regression analysis calculated hazard ratios (HR).
[RESULTS] 571 patients were included (mean age 46 years, range 26-90). The most common immunophenotype was Luminal (42.3%), followed by triple-negative (TNBC, 31.5%) and HER2-overexpressed (26.3%). Radiological and pathological responses were concordant in 71.5%. Overall, 35.2% achieved rCR and 37.5% achieved pCR. DFS curves did not differ significantly according to radiologic-pathologic response combinations in Luminal or HER2 groups (LogRank p = 0.505 and p = 0.257). In the TNBC group, patients without pCR or rCR had significantly worse DFS compared to those achieving either response (LogRank p = 0.001). Cox regression revealed that TNBC patients with both non-rCR and non-pCR had a markedly higher risk of recurrence or death (HR 7.728; 95%CI 2.696-22.149; p < 0.001).
[CONCLUSIONS] Integrating MRI and pathological response assessments after NAC may enhance risk stratification and prognostication, especially in triple-negative breast cancer.
[ADVANCES IN KNOWLEDGE] Patients with both non-rCR and non-pCR have significantly worse DFS, underscoring the prognostic value of combining imaging and pathological findings, particularly in TNBC.