Functional outcomes after surgical reconstruction of the base of tongue using the radial forearm free flap in patients with oropharyngeal carcinoma
Bibliographic record
Abstract
BACKGROUND: Historically, the prevention of functional morbidity after multimodal treatment for squamous cell carcinoma in patients with large base of tongue lesions has been challenging. The purpose of the present research is to report prospectively collected speech and swallowing outcomes for patients with disease that encompassed half or more of the base of tongue. METHODS: Speech and swallowing data were gathered at 4 evaluation times that spanned the first year of treatment for 32 patients treated with surgery and adjuvant radiation therapy. RESULTS: Speech intelligibility remained above 90% for most patients. In the early postoperative period, patients with 100% of their base of tongue resected experienced decreased intelligibility, which improved by the half-way mark of the evaluations. The majority of patients resumed normal oral feeding, with those who lacked dentition needing to puree their food. Modified barium swallow studies revealed that only 3 patients aspirated thin liquid at the final evaluation. Five patients used a feeding tube at some point over the year of evaluation. At the final evaluation, only 3 patients required enteral feeding, with 2 of these using the tube in combination with oral feeding and 1 using the tube for primary nutrition. CONCLUSIONS: The results of this study suggest that surgical reconstruction of the base of tongue using the radial forearm free flap in patients with large base of tongue lesions can lead to functional speech and swallowing results.
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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) | 0.001 | 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".