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Preliminary exploration of radiomic mammographic analysis in triple negative breast cancer related to BRCA profile.

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Scientific reports 2026 Vol.16(1)
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유사 논문
P · Population 대상 환자/모집단
52 patients histologically diagnosed with TNBC, (13 BRCA-mutated patients and 39 BRCA wild-type ones), were included and 53 tumor lesions were manually segmented in the mammographic projection where they were better demarcable.
I · Intervention 중재 / 시술
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C · Comparison 대조 / 비교
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O · Outcome 결과 / 결론
Moreover, the study enhanced the role of healthy glandular tissue in distinguishing the two groups, supporting and reinforcing previous MRI-based radiomics findings in the same population. The study concludes that radiomics analysis of diagnostic mammograms in TNBC patients is feasible and may help build predictive models to discriminate between BRCA mutated and non-mutated patients.

Pecchi A, Sessa G, Nocetti L, Beretta C, Bozzola C, Balboni E, Besutti G, Toss A, Cortesi L, Guidi G, Dominici M, Torricelli P

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This retrospective study evaluated the applicability of radiomics analysis to mammographic images of patients with triple-negative breast cancer (TNBC) to identify features differentiating BRCA gene's

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BibTeX ↓ RIS ↓
APA Pecchi A, Sessa G, et al. (2026). Preliminary exploration of radiomic mammographic analysis in triple negative breast cancer related to BRCA profile.. Scientific reports, 16(1). https://doi.org/10.1038/s41598-026-35774-1
MLA Pecchi A, et al.. "Preliminary exploration of radiomic mammographic analysis in triple negative breast cancer related to BRCA profile.." Scientific reports, vol. 16, no. 1, 2026.
PMID 41688476

Abstract

This retrospective study evaluated the applicability of radiomics analysis to mammographic images of patients with triple-negative breast cancer (TNBC) to identify features differentiating BRCA gene's mutational status. The mammographic images of 52 patients histologically diagnosed with TNBC, (13 BRCA-mutated patients and 39 BRCA wild-type ones), were included and 53 tumor lesions were manually segmented in the mammographic projection where they were better demarcable. An additional elliptical ROI of standard size was drawn in the most homogeneous area of the contralateral healthy gland, using the analogue mammographic projection of the same date or, if not available, of the corresponding bilateral mammographic investigation closer to the time of diagnosis. Lesions consisted of 36 masses, 2 pathological microcalcifications, and 15 masses with microcalcifications. Radiomic features were extracted using Pyradiomics-3D. Preliminary analysis confirmed feasibility and showed differences in texture features, particularly GLCM SumEntropy, between BRCA-mutated and non-mutated patients. Moreover, the study enhanced the role of healthy glandular tissue in distinguishing the two groups, supporting and reinforcing previous MRI-based radiomics findings in the same population. The study concludes that radiomics analysis of diagnostic mammograms in TNBC patients is feasible and may help build predictive models to discriminate between BRCA mutated and non-mutated patients.

MeSH Terms

Humans; Female; Triple Negative Breast Neoplasms; Mammography; Middle Aged; Retrospective Studies; Adult; Mutation; BRCA1 Protein; Aged; BRCA2 Protein; Radiomics

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