The Impact of Hippocampal-Sparing Whole-Brain Radiotherapy on Survival and Cognitive Function in Patients with Brain Metastases.
Bibliographic record
Abstract
Objective: To explore the effects on cognitive function and survival time of whole-brain intensity-modulated radiotherapy using radiotherapy equipment to protect the hippocampus. Methods: Thirty-six patients with brain metastases treated at Qianjiang Central Hospital were enrolled in this study from January 2019 to September 2022. The patients were randomly divided into 2 groups: 15 patients received hippocampal-protection whole-brain radiotherapy, and 21 patients received conventional whole-brain radiotherapy. The Montreal Cognitive Assessment was used to evaluate the cognitive function of patients before and 24 hours, 2 months, 6 months, and 12 months after radiotherapy. Cognitive dysfunction and survival time were compared between the 2 groups. Results: The overall mean differences in the Montreal Cognitive Assessment scores between the hippocampal-protection group and the conventional whole-brain radiotherapy group were statistically significant at 6 months (P = .006) and 12 months (P = .04) after radiotherapy. The median overall survival was 16 months (95% CI, 11.54-20.46) for the hippocampal-protection group and 14 months (95% CI, 12.9-15.21) for the conventional whole-brain radiotherapy group (P = .578). The median progression-free survival was 12 months (95% CI, 9.74-14.26) for the hippocampal-protection group and 9 months (95% CI, 6.60-11.44) for the conventional whole-brain radiotherapy group (P = .494). Conclusion: Whole-brain radiotherapy for protecting the hippocampus can delay cognitive dysfunction in patients to some extent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".