Myeloid Sarcoma of the Orbit Preceding Acute Myeloid Leukaemia: A Diagnostic Challenge
Bibliographic record
Abstract
Objective: Myeloid sarcoma is a rare form of acute myeloid leukaemia characterized by extramedullary proliferation of myeloid blasts which can occur as an isolated lesion in any organ. Even rarer it may occur in the orbit as the initial presentation without a leukaemic phase and diagnosis may be challenging when it is not suspected. Methods: We report a case of orbital myeloid sarcoma as the initial presentation of acute myeloid leukaemia in an adult who was misdiagnosed and treated as a case of a pseudotumour with resultant significant disease progression and worsening of the clinical condition. There was a lag of four months from the onset of eye mass to the development of acute myeloid leukaemia. Result: Due to patients worsening condition and tumour progression, a repeat biopsy for a second histology opinion at a different facility, immunophenotyping and immunohistochemistry were employed to arrive at the correct diagnosis. Following chemotherapy, the orbital mass reduced markedly and clinical condition improved. The patient was indigent and could not sustain further funding of his treatment because he had already spent much on for management of complications he developed before a definitive diagnosis could be made. Conclusion: Myeloid sarcoma can present as an orbital mass without a leukemic disease. Therefore a high index of suspicion, meticulous examination of biopsy, immunohistochemistry and collaboration between oncologists and ophthalmologists, are required to arrive at an early accurate diagnosis.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".