Impact of magnetic resonance imaging in the local staging, risk group classification and treatment of prostate cancer patients with combination of high dose rate brachytherapy and external beam radiotherapy
Bibliographic record
Abstract
reports of practical oncology and radiotherapy 1 8 ( 2 0 1 3 ) S309-S336 S321Results.RTOG acute toxicity was GU: G0 9(13%), G1 44(63.7%),G2 14(20,3%), G3 2(3%); GI G0 31(45%), G1 31(45%), G2 7 (11%), G3 0. RTOG late toxicity was GU G0 46(66.6%),G1 18(26%), G2 4(5.8%),G3 1(1.4%);GI G0 61(88,4%), G1 7(10.1%),G2 1(1.5%).IPSS score: 11 before RT, 16.5 after and 9 at 3 months.Quality of life due to urinary symptoms was better at 3 months.QLQ-C30 global health status was similar.QLQ-C30 functional scales: slight drop in physical and role functioning.QLQ-C30 symptoms scales: fatigue and insomnia were slightly higher at 3 months.QLQ-PR25 functional scales of sexual activity and functioning were low in this population and remained lower at 3 months.QLQ-PR25 symptoms scales: worsening of urinary and bowel symptoms after RT but with recovery at 3 months.With a medium follow-up of 12 months there is not any biochemical relapse.Conclusions.Acute and late toxicity of Hypofractionated VMAT-IGRT were light and similar than other series.QLQ impairment was mild and acceptable.Further following is required to assess long term toxicity and disease control.
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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 | 0.001 | 0.003 |
| 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".