Esthesioneuroblastoma: Summary of Single-center Experiences with Focus on Adjuvant Therapy and Overall Survival
Bibliographic record
Abstract
Esthesioneuroblastoma (ENB) is a rare malignant tumor of the nasal cavity. The genetic basis of its development is still under study and has not been fully delineated. It has varying symptoms depending on the lesion's location within the nasal cavity. The most commonly used systems for such lesions are the Kadish staging and Haymes grading systems. The objectives are to review the most recent published literature evaluating the different treatments/ combination of treatment and assess the most appropriate treatment modality that can provide the longest progression-free survival and overall survival for ENB patients. Moreover, a look at what the latest literature suggests when it comes to adjuvant treatments and their effect on survival is also key to further the body of knowledge for neurosurgeons, Ears, Nose, and Throat (ENT) physicians and all the different subspecialties that deal and serve these population of patients. The published literature was reviewed starting from 1990. The focus was made on single-center experiences given their availability and easy access. The most recently published systematic review was used as the benchmark; research published after that was included in this study. The database search in OVID was conducted using the following keywords: "Esthesioneuroblastoma", "ENB", "Olfactory Neuroblastoma", Nose neoplasm", skull base neoplasm", "radiation", and "resection". The database search found 17 papers which included 14 single-center reports, one systematic review, and two nationwide multi-center reviews. Surgery plus adjuvant radiation therapy appears to provide the best overall survival and progression-free survival especially in patients with high Kadesh grade. On the other hand, surgery alone or biopsy followed with radiation therapy provided the lower progression-free survival and overall survival from time of diagnosis. The role of chemotherapy, however, requires further investigation to assess its potentially harmful effects. The use of surgery as a stand-alone modality of treatment should be cautiously and rarely used in patients with lower staging scores and multiple negative resection margins.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".