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Breast edema score as a biomarker of tumor aggressiveness and its predictive value for neoadjuvant chemotherapy response.

1/5 보강
European radiology 📖 저널 OA 34.3% 2022: 1/4 OA 2023: 0/7 OA 2024: 2/11 OA 2025: 18/71 OA 2026: 70/165 OA 2022~2026 2026
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
19 patients (10 for inadequate image quality, 9 for post-biopsy imaging), 216 patients were analyzed.
I · Intervention 중재 / 시술
pre-NAC breast MRI
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Clinical relevance BES serves as a practical imaging biomarker for risk stratification and tumor phenotyping, guiding individualized therapy. However, it shows no utility in predicting NAC response, emphasizing the need for complementary predictive tools in treatment planning.

Onar MA, Jabbarlı E, Polat AV, Demirag G, Sullu Y, Polat AK

📝 환자 설명용 한 줄

[OBJECTIVES] To investigate MRI-based breast edema patterns as biomarkers of tumor aggressiveness and their predictive value for pathological response to neoadjuvant chemotherapy (NAC) in invasive bre

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.001

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↓ .bib ↓ .ris
APA Onar MA, Jabbarlı E, et al. (2026). Breast edema score as a biomarker of tumor aggressiveness and its predictive value for neoadjuvant chemotherapy response.. European radiology. https://doi.org/10.1007/s00330-026-12406-w
MLA Onar MA, et al.. "Breast edema score as a biomarker of tumor aggressiveness and its predictive value for neoadjuvant chemotherapy response.." European radiology, 2026.
PMID 41803553 ↗

Abstract

[OBJECTIVES] To investigate MRI-based breast edema patterns as biomarkers of tumor aggressiveness and their predictive value for pathological response to neoadjuvant chemotherapy (NAC) in invasive breast cancer.

[MATERIALS AND METHODS] This retrospective study evaluated 235 female patients (mean age, 52 ± 12 years) with biopsy-proven invasive breast cancer who underwent pre-NAC breast MRI. After excluding 19 patients (10 for inadequate image quality, 9 for post-biopsy imaging), 216 patients were analyzed. Breast edema score (BES) was independently assessed by two radiology residents to evaluate interobserver agreement. Subsequently, a breast radiologist reviewed all cases to establish the definitive dataset. The differences in clinicopathological characteristics between the two groups and between different BES were compared.

[RESULTS] Interobserver agreement for BES classification was very high (92.6% concordance). Edema presence correlated significantly with larger tumor size (p = 0.001), higher histological grade (p = 0.001), axillary lymph node metastasis (p = 0.015), hormone receptor negativity (p < 0.001), lymphovascular invasion (p = 0.031), and elevated Ki-67 (p = 0.001). Higher BES groups (BES 2-4) showed stronger associations with aggressive features: tumor size (p < 0.001), grade (p = 0.022), hormone receptor negativity (p = 0.001), non-luminal subtypes (p = 0.001), and intratumoral necrosis (p = 0.002). Neither edema nor BES predicted pathological response to NAC (p = 0.999, p = 0.299).

[CONCLUSION] BES and edema are robust imaging biomarkers of tumor aggressiveness but demonstrate no predictive value for NAC response. MRI-based edema scoring holds clinical relevance for noninvasive tumor phenotyping and risk stratification in breast cancer management.

[KEY POINTS] Question Can MRI-based breast edema patterns predict tumor aggressiveness and pathological response to neoadjuvant chemotherapy in invasive breast cancer patients, aiding noninvasive risk stratification? Findings BES correlates with aggressive tumor features (larger size, higher grade, hormone negativity; all p < 0.050 but shows no predictive value for NAC response (p = 0.299). Clinical relevance BES serves as a practical imaging biomarker for risk stratification and tumor phenotyping, guiding individualized therapy. However, it shows no utility in predicting NAC response, emphasizing the need for complementary predictive tools in treatment planning.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반