Role of endoscopic ultrasonography with and without fine needle aspiration cytology in the diagnosis and staging of lymphoma
Bibliographic record
Abstract
Diagnosis of lymphoma is frequently challenging. The complexity of the sub-classification of lymphomas along with the necessity of a high quality sample leads to costly and invasive procedures in order to achieve the correct diagnosis. Endoscopic ultrasound is a valuable tool for the diagnosis and staging of gastrointestinal neoplasms as well as those that involve structures in the vicinity of the digestive tract. Whereas most gastrointestinal lymphomas are diagnosed and sub-classified using endoscopic biopsies, those involving deep-seated organs or lymph nodes might be targeted by minimal invasive procedures as endoscopic ultrasound-guided fine needle aspiration cytology. Endoscopic ultrasound is also an accurate tool for the local staging of gastrointestinal lymphomas and prediction of the response to Helicobacter pylori eradication. This review summarizes the indications and evidence of endoscopic ultrasonography with or without fine needle aspiration cytology in the diagnosis and staging of lymphoma.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".