The purpose of this study is to identify a set of radiomic features extracted from apparent diffusion coefficient (ADC) maps, obtained using baseline diffusion weighted magnetic resonance imaging (DW-MRI), which are able to predict the outcome of induction chemotherapy (IC) in sinonasal cancers. Such prediction could help the clinician defining the better treatment for a particular patient. Eighty-eight radiomic features were extracted from the ADC maps of 15 patients that underwent IC. A preliminary filtering of the features was made by assessing their stability to geometrical transformations of the region of interest (ROI). Mann-Whitney tests corrected for control of false discoveries were performed to identify the features that could discriminate between responsive and nonresponsive patients (4 and 11 respectively). Twenty features were found to be able to discriminate the two groups and they can potentially be used for prediction of response to treatment.
Use of apparent diffusion coefficient images to predict response to induction chemotherapy in sinonasal cancer / M. Bologna, E. Montin, V.D.A. Corino, P. Bossi, G. Calareso, L. Licitra, L.T. Mainardi. - In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. - ISSN 1534-4320. - 2018:(2018 Oct 26), pp. 8512306.782-8512306.785. ((Intervento presentato al 40. convegno EMBC 2018 Annual International Conference of the IEEE Engineering in Medicine and Biology Society : 18th - 21st July tenutosi a Honolulu (USA) nel 2018 [10.1109/EMBC.2018.8512306].
Use of apparent diffusion coefficient images to predict response to induction chemotherapy in sinonasal cancer
L. Licitra;
2018
Abstract
The purpose of this study is to identify a set of radiomic features extracted from apparent diffusion coefficient (ADC) maps, obtained using baseline diffusion weighted magnetic resonance imaging (DW-MRI), which are able to predict the outcome of induction chemotherapy (IC) in sinonasal cancers. Such prediction could help the clinician defining the better treatment for a particular patient. Eighty-eight radiomic features were extracted from the ADC maps of 15 patients that underwent IC. A preliminary filtering of the features was made by assessing their stability to geometrical transformations of the region of interest (ROI). Mann-Whitney tests corrected for control of false discoveries were performed to identify the features that could discriminate between responsive and nonresponsive patients (4 and 11 respectively). Twenty features were found to be able to discriminate the two groups and they can potentially be used for prediction of response to treatment.File | Dimensione | Formato | |
---|---|---|---|
Apparent diffusion.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
749.99 kB
Formato
Adobe PDF
|
749.99 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.