Fiberoptic Endoscopic Evaluation of Swallowing (FEES) in Head and Neck Cancer Patients with Late Radiation-Associated Dysphagia: Swallowing Safety, Efficacy, and Dysphagia Phenotype
Bibliographic record
Abstract
Late radiation-associated dysphagia (late-RAD) remains a challenge in head and neck cancer (HNC) survivorship, despite advancements in treatment methods. Although Fiberoptic Endoscopic Evaluation of Swallowing (FEES) stands as the preferred diagnostic approach for oropharyngeal dysphagia assessment in the HNC population, current studies lack a FEES-derived swallowing parameter characterization and phenotypic classification within this specific cohort. This study sought to employ FEES-based assessment to characterize swallowing safety and efficacy profiles, identify distinct phenotypes in HNC patients suffering from late-RAD, and examine potential correlations between safety and efficacy parameters. A retrospective analysis included twenty-four post-radiotherapy HNC patients evaluated using standardized FEES protocols across three bolus consistencies (liquid, semisolid, and solid). Swallowing safety was quantified using the Penetration–Aspiration Scale (PAS), while efficacy was measured via the Yale Pharyngeal Residue Severity Rating Scale (YPRSRS). Additionally, six distinct dysphagia phenotypes were characterized within the cohort. Propulsion deficit was the predominant phenotype (92%), followed by delayed pharyngeal phase (37.5%) and protective deficit (25%), with 46% of patients exhibiting multiple phenotypes. Unsafe swallowing occurred most frequently with liquid consistency (62.5%), while residue was most prevalent with semisolid (82.6% valleculae, 52.2% pyriform sinuses) and solid consistencies (92.3% valleculae, 53.8% pyriform sinuses). Significant correlations were found between penetration–aspiration and pharyngeal residue scores across consistencies (p < 0.05). FEES examination revealed distinct phenotypes in late radiation-associated dysphagia, with a predominance of propulsion deficit and significant interdependence between safety and efficacy parameters.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".