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A new functional classification system (FGA/B) with prognostic value for glioma patients
- Source :
- Scientific Reports
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- Despite advances in multimodal treatments, malignant gliomas remain characterized by a short survival time. Surgical treatment is accepted to be the first line of therapy, with recent studies revealing that maximal possible tumor reduction exerts significant impact on patient outcome. Consideration of tumor localization in relation to functionally eloquent brain areas has been gaining increasing importance. Despite existing assessment methods, the availability of a simple but reliable preoperative grading based on functional data would therefore prove to be indispensable for the prediction of postoperative outcome and hence for overall survival in glioma patients. We performed a clinical investigation comprising 322 patients with gliomas and developed a novel classification system of preoperative tumor status, which considers tumor operability based on two graduations (Friedlein Grading - FG): FGA with lesions at safe distance to eloquent regions which can be completely resected and FGB referring to tumors which can only be partially resected or biopsied. Investigation of outcome revealed that FGA were characterized by a significantly longer overall survival time compared to FGB. We offer the opportunity to classify brain tumors in a dependable and reproducible manner. The FGA/B grading method provides high prognostic value with respect to overall survival time in relation to the extent of location-dependent tumor resection.
- Subjects :
- Adult
Male
Oncology
medicine.medical_specialty
Adolescent
Eloquent Brain Areas
Article
Young Adult
Tumor Status
Text mining
Internal medicine
Glioma
medicine
Humans
Young adult
Child
Grading (tumors)
Multidisciplinary
Brain Neoplasms
business.industry
Middle Aged
Prognosis
medicine.disease
Combined Modality Therapy
Surgery
Assessment methods
Tumor reduction
Female
business
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....0705ad3cb826b487b743c25e1d9ea146
- Full Text :
- https://doi.org/10.1038/srep12373