Abstract

Abstract BACKGROUND The neurologic assessment in neuro-oncology (NANO) scale was developed as a standardized metric to objectively measure neurologic function in patients with brain tumors and complement radiographic assessment in defining overall outcomes. The scale has been incorporated in clinical trials, however, real-world use of the NANO scale to drive clinical decision-making and the predictive value of the NANO scale to determine overall survival remains unclear in glioblastoma. MATERIAL AND METHODS We report on an ongoing multi-center study of prospective NANO score collection to evaluate neurologic function in patients with glioblastoma, seen at Dana-Farber Cancer Institute (DFCI) and Sunnybrook Health Sciences Center (SHSC). Patient demographics, tumor histology, molecular status, treatment history, and progression dates are being captured. NANO score, Karnofsky performance status (KPS) and corticosteroid dose are collected at prespecified time points (prior to start of therapy, and during each subsequent MRI visit). Changes in the NANO score will be correlated to overall survival and subgroup analyses will be performed for specific domains of the NANO scale. Statistical analyses including descriptive data analysis and generalized linear models will be performed using R (version 3.4.3). RESULTS Since June 2020, 145 patients have been enrolled in this study across the two sites including 90 (62%) with ≥2 follow-up visits. 129 patients had baseline post-operative NANOs captured, with 45 (35%) patients having no deficits in any NANO domain at baseline. All patients with intact baseline NANO had a KPS of 80 or above. Adaptation to a virtual platform for NANO (vNANO) allowed for improved recruitment and follow-up of patients. Validation of vNANO is being performed in a subset of this population. Our interim analysis will be presented at the 2023 EANO meeting. CONCLUSION Evaluation of neurologic function by NANO is feasible in both an in-person and virtual framework in a prospective multi-center study in patients with glioblastoma. NANO is able to objectively track neurologic function throughout disease course in glioblastoma. Integration of vNANO may allow for reduced clinical visits and improve access to specialized care for patients in geographically remote locations.

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