Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers

Kanwar, A.,Mohamed, A.,Court, L.,Zhang, L.,Marai, G.E,Canahuate, G.,Lee, J.Perni, A.,Messer, J.,Pham, B.,Youssef, B.,Vock, D.,Rao, A.,Kalpathy-Cramer, J.,Gunn, G.,Rosenthal, D.,Fuller, D.

Link: https://doi.org/10.1016/j.ijrobp.2016.06.477

Caption: Head and neck cancer treatment and toxicity Big Data collected at U Texas MD Anderson Cancer Center; jointly analyzed at EVL, MDACC, UMN and Iowa.

Radiomics involves the application of image processing algorithms to define a series of quantitative image characteristics. We sought to develop a clinically usable radiomics signature for primary oropharyngeal cancers (OPC), using the gross tumor volume (GTV) regions of interest (ROIs) to derive a “phenotypic profile” associated with time to local recurrence (LR).

Support:
National Institutes of Health:

NCI-R01-CA214825, “SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment”
NCI-R01CA225190,“QuBBD: Precision E –Radiomics for Dynamic Big Head & Neck Cancer Data”

Citation: Kanwar, A., Mohamed, A., Court, L., Zhang, L., Marai, G.E, Canahuate, G., Lee, J.Perni, A., Messer, J., Pham, B., Youssef, B., Vock, D., Rao, A., Kalpathy-Cramer, J., Gunn, G., Rosenthal, D., Fuller, D., Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers, International Journal of Radiation Oncology, Biology, Physics 96(2):S191, vol 96, no 2, pp. S191, 2016-10-01. https://doi.org/10.1016/j.ijrobp.2016.06.477