JS01.4.A The neurocognitive function changes with awake craniotomy for low-grade glioma in the left hemispheric eloquent regions
Bibliographic record
Abstract
Abstract BACKGROUND Cognitive deficit was frequently observed in glioma patients, especially for those on the eloquent area. Considering the increased life expectancy, brain mapping during awake craniotomy was preferentially applied to exacerbate neurocognitive deficits. The aim of the current study was to evaluate the neurocognitive changes during the perioperative period of resection of low-grade glioma (LGG) in the left side eloquent area with awake craniotomy in a major neurosurgical center in China for 5 years. MATERIAL AND METHODS We retrospectively analyzed patients with left-sided glioma in eloquent areas, who received awake craniotomy during 2016–2020. Montreal Cognitive Assessment Scale, BN-20, and EORTC-QLQ-C30 questionnaire were applied for neurological cognitive assessment. We performed a correlation analysis between changes in cognitive performance and tumor characteristics, including tumor location, pathological grade. Treatment-related factors were also analyzed, such as the extent of resection (EOR), preoperative and postoperative Karnofsky Performance Score (KPS), postoperative treatment strategy (chemo- and radiotherapy), progression-free survival (PFS), overall survival (OS). RESULTS 68 patients were included in our current study. For the language domain, memory domain, and executive functions, 7.4% (5/68) patients presented mild postoperative cognitive performance deterioration compared to preoperative. Tumor location was the only factor that greatly influenced the postoperative cognitive performance, while other features (EOR, KPS, pathological grades) and treatment strategy were found no effect on cognitive change. The extent of tumor resection ranged from 81% to 100%. CONCLUSION Our study underlines the importance of the application of brain mapping during awake craniotomy, which helps to maximize extent of tumor resection while preserving cognitive function in individuals with LGG in eloquent regions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".