Melkerrson-Rosenthal Syndrome, a rare case report of chronic eyelid swelling
Bibliographic record
Abstract
Melkerrson-Rosenthal syndrome is a rare disorder of unknown etiology. The classical triad of recurrent facial paralysis, swelling of the face, lips and deep furrowed tongue (Lingua Plicata) is seen in very few cases, majority of the patients often present with one or two symptoms only, which often leads to misdiagnosis and mismanagement. Clinically these symptoms vary from days to years, which further delay the definitive diagnosis and symptoms may eventually become permanent. The cause of this entity is not very well understood, but thought to be attributable to multiple entities including genetic and Infectious. As this entity has been associated with numerous other clinical entities, diagnosis often remains an exclusion process. METHODS: A middle age male with a chronic history of heavy eyelids with skin indurations predominately around left eye was presented to ophthalmology clinic. Physical examination revealed a deep furrowed tongue. The skin biopsy from left eyelid revealed a non-specific granulomatous lesion. The clinical correlation of facial swelling and deep plicated tongue prompted the differential of MRS Results: Histologically a non-specific granulomatous lesion was seen in dermis. As a rule, other causes of granulomatous diseases were ruled out especially Crohn's disease and sarcoidosis. Polarization failed to reveal any foreign body. CONCLUSIONS: The finding of granulomatous lesion and clinical picture led to the definite diagnosis of Melkerrson-Rosenthal syndrome. Association with rosacea was other findings. Clinically his sign and symptoms are under control and no occurrence of symptoms has been noted so far. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1647494495993706.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".