Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer

Davide Cusumano, Nicola Dinapoli, Luca Boldrini, Giuditta Chiloiro, Roberto Gatta, Carlotta Masciocchi, Jacopo Lenkowicz, Calogero Casa, Andrea Damiani, Luigi Azario, Johan Van Soest, Andre Dekker, Philippe Lambin, Marco De Spirito, Vincenzo Valentini

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)286-295
Number of pages10
JournalRadiologia medica
Volume123
Issue number4
DOIs
Publication statusPublished - 1 Apr 2018

Keywords

  • Radiomics
  • Fractals
  • Rectal cancer
  • Predictive model
  • Magnetic resonance imaging
  • TUMOR-REGRESSION
  • THERAPY
  • CHEMORADIATION
  • MODELS

Cite this

Cusumano, D., Dinapoli, N., Boldrini, L., Chiloiro, G., Gatta, R., Masciocchi, C., Lenkowicz, J., Casa, C., Damiani, A., Azario, L., Van Soest, J., Dekker, A., Lambin, P., De Spirito, M., & Valentini, V. (2018). Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer. Radiologia medica, 123(4), 286-295. https://doi.org/10.1007/s11547-017-0838-3