A Case of Tuberous Sclerosis Without Multiorgan Involvement
Bibliographic record
Abstract
Tuberous sclerosis or Tuberous sclerosis complex (TSC) is a relatively rare autosomal dominant and progressive neurocutaneous disorder involves multiple organs mainly brain, heart, kidney, lung, liver, skin and eye. The diagnosis is typically made clinically. Here, we are reporting a case of TSC presented mainly with dermatologic findings and only neurologic manifestations on MRI. A 15-year-old female with intellectual disability is followed up at neurology clinic for history of seizure. Intelligence evaluation showed that she has intellectual disability. She had wart like lesions distributed in form of butterfly over the face especially involving nose. She did not have any sign and symptom of heart, kidney, lung, bone and eye involvement. Also, her laboratory tests were normal. Despite the physical examination showed absolutely intact neurologic examination, but brain MRI and CT scan revealed several cortical and subcortical tubers, and subependymal glial nodules; no evidence of giant cell astrocytomas and aneurysm. Hypesignal foci are seen at subcortical white matter on long TR images. Fibers are involved. In this case, there is no evidence of giant cell astrocytomas and aneurysm. It seems that TSC could be the prevalent disorder and referring intellectual disability patients in birth with normal organs could be diagnosed as TSC. Therefore, there is necessary need to design genetic natal and post natal tests for diagnosis of TSC cases. Also, there is pivotal that similar cases must be reported; perhaps TSC is more prevalent than to be considered.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".