The Dosimetric Consequences of Intensity Modulated Radiotherapy for Cervix Cancer: The Impact of Organ Motion, Deformation and Tumour Regression
Bibliographic record
Abstract
Cervix cancer affects women of all ages and causes significant morbidity and mortality. Locally advanced disease is curable with radiotherapy (RT) in about 50% of patients, although often at the expense of serious side effects. In order to improve the therapeutic ratio of tumour control versus normal tissue toxicity, conformal intensity-modulated radiotherapy (IMRT) is being investigated. However, inter- and intra-fractional motion of cervix cancer can contribute to both geographical miss of the target and overdosing of surrounding normal tissues, particularly in the setting of conformal IMRT with steep dose gradients. Defining the target volume accurately and understanding the dose consequence of these complex intra-pelvic organ dynamics during external beam radiotherapy forms the essential foundations for future treatment optimization and adaptation. This in turn will lead to improvements in tumour control and disease-free survival while minimising treatment toxicity.
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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 | 0.001 |
| Scholarly communication | 0.001 | 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".