QOS-58IMPACT OF CRANIAL RADIATION THERAPY ON HIPPOCAMPAL SUBFIELD VOLUMES AND DECLARATIVE MEMORY IN PEDIATRIC BRAIN TUMOR SURVIVORS
Bibliographic record
Abstract
BACKGROUND: Cranial radiation therapy (CRT) is associated with declarative memory impairment and hippocampal volume loss in pediatric brain tumor survivors (PBTS). Animal studies suggest that this may reflect arrested neurogenesis in the dentate gyrus, the neurogenic region of the hippocampus. However, little is known about the distribution of CRT-induced volume loss across hippocampal subfields in humans and how this relates to memory. The goal of the present study was to characterize hippocampal subfield volume loss and relations to memory performance in PBTS. METHODS: MRI scans were obtained for 19 PBTS treated with CRT and 19 age- and sex-matched controls. An automated segmentation algorithm was used to segment hippocampi in each hemisphere into CA1, CA2/3, dentate gyrus (DG)/CA4, stratum radiatum/lacunosum/moleculare (SR/SL/SM) and subiculum. A subset of patients completed a paired associate verbal memory test from the Children's or Wechsler's Memory Scale (n = 11). RESULTS: Global hippocampal volumes were reduced bilaterally in PBTS (p = 0.002), but not all subfields differed significantly between groups. Bilateral DG/CA4 (p = 0.049) and SR/SL/SM (p = 0.019) were significantly smaller in patients. Diagnosis age in patients correlated with DG/CA4 (r = 0.57) and SR/SL/SM (r = 0.77) volumes, with younger diagnosis age predicting smaller volumes. Left DG/CA4 volume correlated with memory performance (r = 0.72), with smaller volume predicting poorer performance. CONCLUSION: Hippocampal subfields are differentially vulnerable to CRT, with DG/CA4 and SR/SL/SM displaying particular compromise. Patients diagnosed at younger ages may be at the greatest risk for volume loss. The brain-behavior relationship that we observed suggests that DG/CA4 compromise may contribute to impaired memory in PBTS.
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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 | 0.001 |
| 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) | 0.002 | 0.000 |
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".