Hippocampal protection during preventive cranial irradiation and neurocognitive functions in patients with small cell lung cancer
Bibliographic record
Abstract
Background: In small cell lung cancer (SCLC), limiting the radiation dose in the hippocampus area during preventive cranial irradiation (PCI) can reduce nerve injury and cognitive decline. This study was done to compare changes in cognitive functions between hippocampal-protected (3D-H) and non-hippocampal-protected (3D) patients during PCI. Materials and methods: the study group included 113 patients with SCLC qualified to PCI divided in two subgroups: 3D-H (n = 74) and 3D (n = 39). Two diagnostic and screening tests, Mini-Mental State Examination (MMSE) Short Scale and Montreal Cognitive Assessment (MoCA) Scale, have been applied before the start of irradiation, immediately after and 3 months after PCI. Results: The doses delivered to the volume of the left and right hippocampus were similar and amounted to 12.00 Gy and 12.05 Gy, respectively. There were no differences between 3D-H and 3D groups in the MoCA and MMSE tests at any time point. In both groups the values in MoCA and MMSE scales differed between time points I, II and III. The patients in the 3D-H group were less likely than patients in 3D group to experience significant cognitive decline on the MoCA scale (p = 0.003), but not on the MMSE scale (p = 0.103). Conclusions: Following PCI, SCLC patients experience significant cognitive decline, even when the radiation dose in the hippocampal area is reduced. This trend continues for at least 3 months following the PCI. In hippocampal-protected patients significant cognitive decline assessed on the MoCA scale is less common than in non-hippocampal-protected patients.
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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) | 0.000 | 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 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".