Management of Diffuse Low-Grade Glioma: The Renaissance of Robust Evidence
| Autor: | Fabio Y. Moraes, Jetan H. Badhiwala, Christine Mau, Farhad Pirouzmand, Karanbir Brar, Brad E. Zacharia, Laureen D. Hachem, Alireza Mansouri |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Cancer Research medicine.medical_specialty Computer science diffuse low-grade glioma lcsh:RC254-282 Resection law.invention 03 medical and health sciences 0302 clinical medicine Randomized controlled trial law medicine Medical physics neurosurgery Potential impact The Renaissance Foundation (evidence) artificial intelligence lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens machine learning 030104 developmental biology Oncology 030220 oncology & carcinogenesis Paradigm shift Perspective randomized controlled trials Observational study Low-Grade Glioma neuro-oncology |
| Zdroj: | Frontiers in Oncology, Vol 10 (2020) Frontiers in Oncology |
| ISSN: | 2234-943X |
| DOI: | 10.3389/fonc.2020.575658 |
| Popis: | The surgical management of diffuse low-grade gliomas (DLGGs) has undergone a paradigm shift toward striving for maximal safe resection when feasible. While extensive observational data supports this transition, unbiased evidence in the form of high quality randomized-controlled trials (RCTs) is lacking. Furthermore, despite a high volume of molecular, genetic, and imaging data, the field of neuro-oncology lacks personalized care algorithms for individuals with DLGGs based on a robust foundation of evidence. In this manuscript, we (1) discuss the logistical and philosophical challenges hindering the development of surgical RCTs for DLGGs, (2) highlight the potential impact of well-designed international prospective observational registries, (3) discuss ways in which cutting-edge computational techniques can be harnessed to generate maximal insight from high volumes of multi-faceted data, and (4) outline a comprehensive plan of action that will enable a multi-disciplinary approach to future DLGG management, integrating advances in clinical medicine, basic molecular research and large-scale data mining. |
| Databáze: | OpenAIRE |
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