Myelolipomatous Adrenal Adenoma and Adrenal Scintigraphy: A Case Presentation and Review of Literature
Bibliographic record
Abstract
Adrenal myelolipomas are usually benign and non-functioning masses. On the other hand, adrenal myelolipomatous adenoma that may mimic adrenal myelolipoma on conventional imaging may be a rare cause of subclinical Cushing’s disease. Adrenal scintigraphy (with 131 I-6beta-iodomethyl-19-norcholesterol) can be used to demonstrate increased uptake in a functioning adrenal myelolipomatous adenoma to distinguish it from an adrenal myelolipoma, when the source of the excess hormone secretion after biochemical evaluation is unclear. Treating physicians should be familiar with the occasional use of this imaging modality that can help distinguish functional adrenal tumors from non-functioning ones when conventional imaging fails to do so. A 66-year-old female was found to have an incidental 6.5 cm right adrenal mass during a routine abdominal ultrasound. Complete biochemical evaluation was suggestive of subclinical Cushing’s syndrome. Imaging studies were consistent with adrenal myelolipoma. Adrenal scintigraphy showed a unilateral increased uptake at the site of the adrenal mass. She successfully underwent laparoscopic adrenalectomy of the 6.5 cm mass and she had significant clinical improvement. Myelolipomatous adrenal adenoma (that may mimic adrenal myelolipoma on conventional imaging) may be a rare cause of subclinical Cushing’s, and adrenal scintigraphy may be a useful imaging technique that may help in localizing the lesion, which can then be treated surgically. J Endocrinol Metab. 2014;4(5-6):148-150 doi: http://dx.doi.org/10.14740/jem254w
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".