Virtual Biomarkers and Simplified Metrics in the Modeling of Breast Cancer Neoadjuvant Therapy: A Proof-of-Concept Case Study Based on Diagnostic Imaging

This approach demonstrates the feasibility of integrating CE-MRI and computational modeling to generate patient-specific treatment predictions. Preliminary model training on retrospective cohorts with matched BC subtypes and therapy regimens enabled accurate prediction of NAC outcomes. Future work will focus on model refinement, cohort expansion, and enhanced statistical validation to support broader clinical translation.

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Publication Details

Journal
Medical Sciences
Published
2025-10-24
DOI
https://doi.org/10.3390/medsci13040242
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Virtual Biomarkers and Simplified Metrics in the Modeling of Breast Cancer Neoadjuvant Therapy: A Proof-of-Concept Case Study Based on Diagnostic Imaging

Maria Valeria De Bonis, Antonio Villonio, Pasqualina Modano, Francesco Schettini et al.
Medical Sciences
Mathematical Biology Tumor Growth
article

Virtual Biomarkers and Simplified Metrics in the Modeling of Breast Cancer Neoadjuvant Therapy: A Proof-of-Concept Case Study Based on Diagnostic Imaging

Maria Valeria De Bonis, Antonio Villonio, Pasqualina Modano, Francesco Schettini, Aldo Cammarota, Maria Imma Lancellotti, Daniele Generali, Graziella Marino, Gianpaolo Ruocco, Andrea Rocca, Marisabel Mecca, G. DiNardo, Manuela Botte, Alexios Thodas, Francesca Sanseverino, Marzia Sichetti, A Prudente, Emanuela Zifarone
article en

Abstract

This approach demonstrates the feasibility of integrating CE-MRI and computational modeling to generate patient-specific treatment predictions. Preliminary model training on retrospective cohorts with matched BC subtypes and therapy regimens enabled accurate prediction of NAC outcomes. Future work will focus on model refinement, cohort expansion, and enhanced statistical validation to support broader clinical translation.

Medical SciencesVol. 13(4)
University of Basilicata (IT), Centro di Riferimento Oncologico della Basilicata (IT), Ospedale di Cattinara (IT), Development Initiatives (GB), Hospital Clínic de Barcelona (ES), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituti Ospitalieri di Cremona (IT)
Openalex Percentile: Top 65%
Mathematical Biology Tumor Growth
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