Evidence map›Paper›PMID 41688476›Full record

ArticleScientific reports2026

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

Annarita Pecchi, Giulia Sessa, Luca Nocetti, Cecilia Beretta, Chiara Bozzola, Erica Balboni, Giulia Besutti, Angela Toss, Laura Cortesi, Gabriele Guidi and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Annarita PecchiDivision of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy. Annarita.pecchi@unimore.it.
Giulia SessaDivision of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Luca NocettiMedical Physics Unit, University Hospital of Modena, 41124, Modena, Italy.
Cecilia BerettaDivision of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Chiara BozzolaDivision of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Erica BalboniMedical Physics Unit, University Hospital of Modena, 41124, Modena, Italy.
Giulia BesuttiDivision of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Angela TossDivision of Oncology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Laura CortesiDivision of Oncology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Gabriele GuidiMedical Physics Unit, University Hospital of Modena, 41124, Modena, Italy.
Massimo DominiciDivision of Oncology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.
Pietro TorricelliDivision of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224, Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BRCA1 ProteinMammographyTriple Negative Breast NeoplasmsAdultAgedFemaleHumansMiddle AgedMutationRadiomicsRetrospective StudiesBRCA1 ProteinBRCA1 protein, humanBRCA1 geneBreast cancerGLCM sum entropyMammographyRadiogenomics

Identifiers

PMID41688476
PMCPMC12982585

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.