Skip to Main Content (Press Enter)

Logo UNIME
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

Competenze e Professionalità
Logo UNIME

|

UNIFIND - Competenze e Professionalità

unime.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

Radiomics for tumor characterization in breast cancer patients: A feasibility study comparing contrast-enhanced mammography and magnetic resonance imaging

Articolo
Data di Pubblicazione:
2020
Abstract:
The aim of our intra-individual comparison study was to investigate and compare the potential of radiomics analysis of contrast-enhanced mammography (CEM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast for the non-invasive assessment of tumor invasiveness, hormone receptor status, and tumor grade in patients with primary breast cancer. This retrospective study included 48 female patients with 49 biopsy-proven breast cancers who underwent pretreatment breast CEM and MRI. Radiomics analysis was performed by using MaZda software. Radiomics parameters were correlated with tumor histology (invasive vs. non-invasive), hormonal status (HR+ vs. HR−), and grading (low grade G1 + G2 vs. high grade G3). CEM radiomics analysis yielded classification accuracies of up to 92% for invasive vs. non-invasive breast cancers, 95.6% for HR+ vs. HR− breast cancers, and 77.8% for G1 + G2 vs. G3 invasive cancers. MRI radiomics analysis yielded classification accuracies of up to 90% for invasive vs. non-invasive breast cancers, 82.6% for HR+ vs. HR− breast cancers, and 77.8% for G1+G2 vs. G3 cancers. Preliminary results indicate a potential of both radiomics analysis of DCE-MRI and CEM for non-invasive assessment of tumor-invasiveness, hormone receptor status, and tumor grade. CEM may serve as an alternative to MRI if MRI is not available or contraindicated.
Tipologia CRIS:
14.a.1 Articolo su rivista
Keywords:
Breast cancer, Characterization, Contrast-enhanced mammography, Diagnosis, Magnetic resonance imaging, Prognosis, Radiomics, Texture analysis
Elenco autori:
Marino, M. A.; Leithner, D.; Sung, J.; Avendano, D.; Morris, E. A.; Pinker, K.; Jochelson, M. S.
Autori di Ateneo:
MARINO Maria Adele
Link alla scheda completa:
https://iris.unime.it/handle/11570/3176976
Link al Full Text:
https://iris.unime.it//retrieve/handle/11570/3176976/731990/diagnostics-10-00492.pdf
Pubblicato in:
DIAGNOSTICS
Journal
  • Dati Generali

Dati Generali

URL

https://www.mdpi.com/2075-4418/10/7/492
  • Informazioni
  • Assistenza
  • Accessibilità
  • Privacy
  • Utilizzo dei cookie
  • Note legali

Realizzato con VIVO | Designed by Cineca | 25.10.4.0