NCOG-50. Correlation of tract-based diffusion metrics with visuospatial function following glioma surgery
Bibliographic record
Abstract
Abstract Gliomas are diffusely infiltrative tumors without clear margins. While greater extent of resection is associated with improved overall survival, it must be balanced against the risk of iatrogenic neurological deficits which may compromise quality of life. This balance between extent of resection and good neurological outcome is particularly challenging considering our incomplete understanding of functional neuroanatomy, especially concerning long-range association fibers and the consequences of disrupting their structural integrity. The study’s objective was to evaluate post-operative tractography diffusion metrics, such as fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity (AD) and mean diffusivity (MD), from major white matter tracts, namely subdivisions of the superior longitudinal fasciculus (SLF), inferior fronto-occipital fasciculus (IFOF) and arcuate fasciculus (AF). These results were correlated to the Visual Object and Space Perception (VOSP) neuropsychological battery to assess the dorsal (“where”) and ventral (“what”) streams of visual processing. 11 patients in a post-operative setting for glioma resection completed the VOSP battery and diffusion tensor imaging tractography was performed. Dorsal stream performance correlated with higher FA (r = 0.78, p < 0.01) and lower RD (r = -0.67, p = 0.02) in the right SLF I tract, consistent with its described role in spatial attention. Ventral stream performance correlated notably with higher FA (r = 0.62, p = 0.04) and lower AD (r = -0.62, p = 0.04) in left SLF III, and higher FA in left IFOF (r = 0.61, p = 0.05), suggesting language-related support for object recognition. These findings illustrate the importance of white matter tracts preservation in glioma surgery, especially as visuospatial deficits are significantly correlated with decreased quality of life and loss of functional independence. Diffusion metrics may also offer better assessment of microstructural integrity than conventional imaging, which could be of interest as a predictive quantitative biomarker of high-order cognitive impairment.
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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 | 0.002 |
| 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) | 0.003 | 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".