Evidence map›Paper›PMID 40117102›Full record

ArticleLa Radiologia medica2025

Role of radiomics in predicting early disease recurrence in locally advanced breast cancer patients: integration of radiomic features and RECIST criteria.

Charlotte Trombadori, Edda Boccia, Elena Huong Tran, Antonio Franco, Armando Orlandi, Gianluca Franceschini, Luisa Carbognin, Alba Di Leone, Valeria Masiello, Fabio Marazzi and 11 more

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Article in La Radiologia medica, 2025. 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

21 authors.

Charlotte Trombadori *Department of Diagnostic Imaging, ARC Advanced Radiodiagnostics Center, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Edda Boccia *Diagnostic Imaging, Oncological Radiotherapy and Hematology Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Elena Huong TranDiagnostic Imaging, Oncological Radiotherapy and Hematology Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Antonio FrancoBreast Unit, Department of Woman, Child and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, 00136, Rome, Italy. Antonio.franco@guest.policlinicogemelli.it.
Armando OrlandiMedical Oncology Unit, Department of Abdominal and Endocrine Metabolic Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Gianluca FranceschiniBreast Unit, Department of Woman, Child and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, 00136, Rome, Italy.
Luisa CarbogninMedical Oncology Unit, Department of Abdominal and Endocrine Metabolic Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Alba Di LeoneBreast Unit, Department of Woman, Child and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, 00136, Rome, Italy.
Valeria MasielloUOC di Radioterapia Oncologica, Dipartimento Diagnostica per ImmaginiRadioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Fabio MarazziUOC di Radioterapia Oncologica, Dipartimento Diagnostica per ImmaginiRadioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Antonella PalazzoMedical Oncology Unit, Department of Abdominal and Endocrine Metabolic Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Ida ParisMedical Oncology Unit, Department of Abdominal and Endocrine Metabolic Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Roberta DattoliDepartment of Diagnostic Imaging, ARC Advanced Radiodiagnostics Center, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Antonino MulèUnità Operativa Complessa Anatomia Patologica GeneraleDipartimento di Scienze Della Salute Della Donna, del bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Nikola Dino CapocchianoReal World Data Facility, Gemelli Generator, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Diana GiannarelliPrecision Medicine in Breast Cancer Unit, Scientific Directorate, Department of Woman and Child Health and Public Health, IRCCS, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy.
Riccardo MasettiBreast Unit, Department of Woman, Child and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, 00136, Rome, Italy.
Paolo BelliDepartment of Diagnostic Imaging, ARC Advanced Radiodiagnostics Center, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Luca BoldriniDiagnostic Imaging, Oncological Radiotherapy and Hematology Department, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Anna D'AngeloDepartment of Diagnostic Imaging, ARC Advanced Radiodiagnostics Center, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Alessandra FabiPrecision Medicine in Breast Cancer Unit, Scientific Directorate, Department of Woman and Child Health and Public Health, IRCCS, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) is a major global health issue with significant heterogeneity among its subtypes. Neoadjuvant treatment (NAT) has been extended to include early BC patients, particularly those with HER2 + and triple-negative subtypes, to achieve pathological complete response and improve long-term outcomes. However, disease recurrence remains a challenge, highlighting the need for predictive biomarkers. This study evaluates the role of radiomics from pre-treatment breast MRI, integrated with clinical and radiological variables, in predicting early disease recurrence (EDR) after NAT.

methodsA retrospective analysis was conducted on 238 BC patients treated with NAT and assessed using pre- and post-treatment breast MRI. Radiomic features were extracted and combined with clinical and radiological data to develop predictive models for EDR. Models were evaluated using AUC, accuracy, sensitivity, and specificity metrics.

resultsThe radiological-radiomic model, which integrated pre-treatment MRI radiomics with RECIST response data, demonstrated the highest predictive performance for EDR (AUC 0.77, sensitivity 0.85). Internal validation confirmed the robustness of the model.

conclusionCombining radiomic features from pre-NAT MRI with RECIST response evaluation from post-NAT MRI enhances the prediction of EDR in BC patients, supporting precision medicine in treatment strategies and follow-up planning. Further validation on larger cohorts is needed to confirm these findings.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingNeoplasm Recurrence, LocalResponse Evaluation Criteria in Solid TumorsAdultAgedFemaleHumansMiddle AgedNeoadjuvant TherapyPredictive Value of TestsRadiomicsRetrospective StudiesSensitivity and SpecificityBreast cancerDisease-free survivalMagnetic resonance imagingRadiomicsRECIST criteria

Identifiers

PMID40117102

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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.