Skip to Main Content (Press Enter)

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

Competenze & Professionalità
Logo UNIBS

|

Competenze & Professionalità

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

Radiomics for rectal cancer

Articolo
Data di Pubblicazione:
2016
Abstract:
Diagnosis and treatment of locally advanced rectal cancer is mainly based on multimodal approach for staging, planning and treatment. The modern radiological and imaging techniques offer, day after day, the possibility to characterize tumor lesions in a more precise and prognostically valuable way. In rectal cancer, extending often the characterization to colon cancer, literature offers some evidences that quantitative and "radiomics" analysis of tumor images might improve the prognostic evaluation of the tumor and the patients' characterization. Unfortunately, as in other fields of radiomics, the rise of new evidence and models based on single institution case series don't offer the practical chance to apply them universal data set. Greater efforts in the direction of model evaluation and validation, above all using an external validation approach, are expected to be shown in the coming years for validation of methodology.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Colorectal cancer; CT; Image analysis; MR; Numerical analysis; PET; Radiomics; Rectal cancer
Elenco autori:
Dinapoli, N.; Casa, C.; Barbaro, B.; Chiloiro, G. V.; Damiani, A.; Di Matteo, M.; Farchione, A.; Gambacorta, M. A.; Gatta, R.; Lanzotti, V.; Masciocchi, C.; Valentini, V.
Autori di Ateneo:
GATTA ROBERTO
Link alla scheda completa:
https://iris.unibs.it/handle/11379/546118
Pubblicato in:
TRANSLATIONAL CANCER RESEARCH
Journal
  • Assistenza
  • Privacy
  • Utilizzo dei cookie
  • Note legali

Realizzato con VIVO | Designed by Cineca | 26.5.1.0