Brachytherapy for Oesophageal Carcinoma: A Comprehensive Review of Literature and Techniques
Bibliographic record
Abstract
Abstract Introduction: Oesophageal carcinoma is one of the fatal cancers mainly because of its rapid spread and poor prognosis. Treatment modalities involves a multimodality approach, including surgery, radiation therapy and chemotherapy. Radiation therapy includes brachytherapy in the form of intraluminal radiation therapy. Brachytherapy permits delivery of high tumouricidal doses to superficial cancerous growth of the oesophagus while delivering much lower doses to the surrounding tissue. It is mostly given in combination with external beam radiation in patients with poor performance scores not likely to tolerate an aggressive chemoradiation regimen or as a boost to concurrent chemoradiotherapy. It is very effective in terms of local tumour control as well as in relieving symptoms in advanced/recurrent disease. Intraoperative brachytherapy and seed brachytherapy have also been tried to address the nodal disease. Methods: We undertook a review of the available literature and techniques developed in the past three decades to emphasise the role of brachytherapy in curative or palliative settings in the treatment of oesophageal carcinoma. Conclusion: Oesophageal brachytherapy will remain a tangible treatment of oesophageal cancer, although it is less commonly used due to high expertise requirement, lack of established evidence, risk of life-threatening complications and lack of interest in brachytherapy. It offers quick and useful palliation for a prolonged period, along with good quality of life and superior dosimetry. Use of novel applicators may allow dose escalation and lower toxicity. Seed brachytherapy is also emerging as a promising option in nodal recurrences.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".