Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288468237> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W4288468237 abstract "Gliomas are rapidly progressive, neurologically devastating, nearly uniformly fatal brain tumors. In WHO grade IV tumors like glioblastoma, the standard of care involves maximal surgical resection followed by concurrent radiation therapy (RT) and temozolomide (TMZ) chemotherapy followed by adjuvant TMZ. This results in overall survival (OS) of less than 30% at two years. Currently, tumor progression assessment is based on clinician assessment and MRI interpretation using Response Assessment in Neuro-Oncology (RANO) criteria. These criteria classify response as complete, partial, stable, or progression. This approach, however, suffers from significant limitations due to the difficulty in interpreting MRI findings on T1 gad and T2 FLAIR sequences, lack of concurrent correlation with radiation therapy fields, inconsistent follow-up imaging, concurrent administration of steroids, and systemic management, including immunotherapy. The neuro-oncology field struggles with classifying true progression vs. pseudoprogression vs. pseudoresponse with progression guidelines actively evolving. The lack of consensus on the definition of progression impairs the ability to initiate earlier management upon progression, judge the impact of therapies, and optimize and personalize management. Due to the pivotal role of imaging, radiology is at the center of the question of optimizing and advancing response criteria [1-5]. The hypothesis is that MRI images of patients with glioma, when subjected to change over time analysis (at diagnosis, prior to and post-radiation therapy), can identify features predictive of treatment failure helping guide patient management in the clinic. Likely a combination of imaging and biospecimen-driven biomarkers is needed. Given the large amount of data generated by both approaches, success in this space hinges on leveraging computational approaches and artificial intelligence algorithms validated using large-scale publicly available data sets to disentangle the complexity and heterogeneity inherent in glioma progression." @default.
- W4288468237 created "2022-07-29" @default.
- W4288468237 creator A5036844482 @default.
- W4288468237 date "2022-01-01" @default.
- W4288468237 modified "2023-10-03" @default.
- W4288468237 title "Using Artificial Intelligence and Magnetic Resonance Imaging to Address Limitations in Response Assessment in Glioma" @default.
- W4288468237 doi "https://doi.org/10.55085/oi.2022.616" @default.
- W4288468237 hasPublicationYear "2022" @default.
- W4288468237 type Work @default.
- W4288468237 citedByCount "1" @default.
- W4288468237 countsByYear W42884682372022 @default.
- W4288468237 crossrefType "journal-article" @default.
- W4288468237 hasAuthorship W4288468237A5036844482 @default.
- W4288468237 hasBestOaLocation W42884682371 @default.
- W4288468237 hasConcept C101070640 @default.
- W4288468237 hasConcept C121608353 @default.
- W4288468237 hasConcept C126322002 @default.
- W4288468237 hasConcept C126838900 @default.
- W4288468237 hasConcept C143409427 @default.
- W4288468237 hasConcept C143998085 @default.
- W4288468237 hasConcept C2776194525 @default.
- W4288468237 hasConcept C2776694085 @default.
- W4288468237 hasConcept C2777389519 @default.
- W4288468237 hasConcept C2778227246 @default.
- W4288468237 hasConcept C2779256057 @default.
- W4288468237 hasConcept C2780387249 @default.
- W4288468237 hasConcept C2780739268 @default.
- W4288468237 hasConcept C502942594 @default.
- W4288468237 hasConcept C509974204 @default.
- W4288468237 hasConcept C71924100 @default.
- W4288468237 hasConceptScore W4288468237C101070640 @default.
- W4288468237 hasConceptScore W4288468237C121608353 @default.
- W4288468237 hasConceptScore W4288468237C126322002 @default.
- W4288468237 hasConceptScore W4288468237C126838900 @default.
- W4288468237 hasConceptScore W4288468237C143409427 @default.
- W4288468237 hasConceptScore W4288468237C143998085 @default.
- W4288468237 hasConceptScore W4288468237C2776194525 @default.
- W4288468237 hasConceptScore W4288468237C2776694085 @default.
- W4288468237 hasConceptScore W4288468237C2777389519 @default.
- W4288468237 hasConceptScore W4288468237C2778227246 @default.
- W4288468237 hasConceptScore W4288468237C2779256057 @default.
- W4288468237 hasConceptScore W4288468237C2780387249 @default.
- W4288468237 hasConceptScore W4288468237C2780739268 @default.
- W4288468237 hasConceptScore W4288468237C502942594 @default.
- W4288468237 hasConceptScore W4288468237C509974204 @default.
- W4288468237 hasConceptScore W4288468237C71924100 @default.
- W4288468237 hasLocation W42884682371 @default.
- W4288468237 hasOpenAccess W4288468237 @default.
- W4288468237 hasPrimaryLocation W42884682371 @default.
- W4288468237 hasRelatedWork W11396657 @default.
- W4288468237 hasRelatedWork W11687661 @default.
- W4288468237 hasRelatedWork W16034276 @default.
- W4288468237 hasRelatedWork W16180300 @default.
- W4288468237 hasRelatedWork W19182447 @default.
- W4288468237 hasRelatedWork W3490365 @default.
- W4288468237 hasRelatedWork W3582852 @default.
- W4288468237 hasRelatedWork W3706229 @default.
- W4288468237 hasRelatedWork W4527439 @default.
- W4288468237 hasRelatedWork W6961521 @default.
- W4288468237 isParatext "false" @default.
- W4288468237 isRetracted "false" @default.
- W4288468237 workType "article" @default.