Extranodal lymphoma arising within the maxillary alveolus: a case report
Bibliographic record
Abstract
Objective Extranodal lymphomas affecting the head and neck arise infrequently within the bones of the jaws. This is a report of a symptom-free patient whose general dentist detected a radiolucency as an incidental finding on conventional radiography. Study Design The conventional radiography of lesions in the maxilla displayed “floating teeth” indicative of malignancy. This case was then imaged by cone beam computed tomography (CBCT), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI). The lymphoma grew rapidly in less than a week between the MDCT and the MRI. All the above cross-sectional modalities elicited a provisional diagnosis of a squamous cell carcinoma (SCC). Conclusions Evaluation of the extent of the lesion and its encroachment on adjacent structures is limited by conventional radiography. Nevertheless, conventional radiography can display features that are suggestive of malignant disease. Although cross-sectional imaging of lesions within the anatomically-complex-maxilla has generally taken the form of MDCT and MRI, CBCT has a role. In hindsight, the absence of central necrosis should have directed the inclusion of “extranodal lymphoma arising within the maxillary alveolus” in the provisional diagnosis. Extranodal lymphomas affecting the head and neck arise infrequently within the bones of the jaws. This is a report of a symptom-free patient whose general dentist detected a radiolucency as an incidental finding on conventional radiography. The conventional radiography of lesions in the maxilla displayed “floating teeth” indicative of malignancy. This case was then imaged by cone beam computed tomography (CBCT), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI). The lymphoma grew rapidly in less than a week between the MDCT and the MRI. All the above cross-sectional modalities elicited a provisional diagnosis of a squamous cell carcinoma (SCC). Evaluation of the extent of the lesion and its encroachment on adjacent structures is limited by conventional radiography. Nevertheless, conventional radiography can display features that are suggestive of malignant disease. Although cross-sectional imaging of lesions within the anatomically-complex-maxilla has generally taken the form of MDCT and MRI, CBCT has a role. In hindsight, the absence of central necrosis should have directed the inclusion of “extranodal lymphoma arising within the maxillary alveolus” in the provisional diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".