The Impact of Radiotherapy Dose in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma Receiving Preoperative Chemoradiotherapy
Bibliographic record
Abstract
Objective: For patients with esophageal squamous cell carcinoma, preoperative chemoradiotherapy followed by planned esophagectomy is used as a curative treatment modality. However, the impact of radiotherapy dose remains undefined. Method: A total of 141 patients with stage III esophageal squamous cell carcinoma (ESCC; as defined by the 7th American Joint Committee on Cancer), receiving preoperative chemoradiotherapy followed by esophagectomy between 2000 and 2015 at Kaohsiung Chang Gung Memorial Hospital, Taiwan, were retrospectively reviewed. The radiotherapy dose of preoperative chemoradiotherapy (36 Gy before 2009 and 50–50.4 Gy after 2009) and other clinicopathological parameters were collected and correlated with the response to chemoradiotherapy and treatment outcome. Result: Of these 141 patients, the radiotherapy dose was 36 Gy in 59 (42%) patients and 50 Gy in 82 (58%) patients. A complete pathological response was noted in 12 (20%) of 59 patients receiving 36 Gy radiotherapy, and 37 (45%) of 82 patients receiving 50 Gy radiotherapy (p = 0.002). The three-year overall survival and disease-free survival rates were 31% and 25% in patients receiving 36 Gy radiotherapy, and 54% and 46% in patients receiving 50–50.4 Gy radiotherapy, respectively (p = 0.023 for overall survival; p = 0.047 for disease-free survival). Multivariate analysis showed that a higher radiotherapy dose was associated with increased pathological complete response (p = 0.003, hazard ratio: 3.215), better overall survival (p = 0.024, hazard ratio: 1.585), and superior disease-free survival (p = 0.049, hazard ratio: 1.493). However, higher radiotherapy doses revealed more surgical complications, including acute respiratory distress syndrome (p = 0.048) and anastomosis leaks (p = 0.004). Conclusion: For patients with locally advanced ESCC, preoperative chemoradiotherapy with higher radiotherapy doses led to increased pathologic complete response rates and improved survival.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".