Preservation of long-term neurocognitive function by hippocampal avoidance whole-brain radiotherapy in patients with brain metastases.
Bibliographic record
Abstract
124 Background: To investigate the preservation of long-term neurocognitive function in patients after hippocampal avoidance whole-brain radiotherapy (HA-WBRT). Methods: For the retrospective analysis, 50 patients diagnosed with brain metastases were selected and divided into two groups from 2015-01-01 to 2017-12-31 at the Department of Oncology, Jiangsu Subei People's Hospital. Group A (n=27) was hippocampal avoidance whole-brain radiotherapy group; group B (n=23) was whole brain radiation therapy (WBRT) group. Neurocognitive function was statistically analyzed at 3, 6, 9, 12, and 24 months after radiotherapy, as scored by the MMSE (Mine-Mental State Examination) scales and the MoCA (Montreal Cognitive Assessment) scales. The OS, PFS and tumor recurrence sites of the two groups was also analyzed. Results: After 12, 24 months after radiotherapy, there was a significant difference between the two groups. The cognitive function of the hippocampal protection group was significantly higher than that of the non-hippocampal protection group (P<0.05). There was no significant difference in OS (P=0.2) and PFS (P=0.18) between the two groups. 14 patents in group A and 12 patents in group B had brain tumor recurrence after radiation, only one patient in group A occurred 5 mm within the edge of the hippocampus (P>0.05). Conclusions: First, HA-WBRT has a protective effect on long-term neurocognitive function. Second, there was no statistically significant different on OS and PFS in patients who underwent HA-WBRT or WBRT. Third, HA-WBRT didn’t increase the risk of brain tumor recurrence within the edge of the hippocampus.
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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 | 0.000 |
| 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) | 0.001 | 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".