Bannayan-Riley-Ruvalcaba Syndrome: MRI Neuroimaging Features in a Series of 7 Patients
Bibliographic record
Abstract
SUMMARY: Bannayan-Riley-Ruvalcaba syndrome is a congenital disorder characterized by macrocephaly, intestinal polyposis, lipomas, and pigmented macules of the penis. There is limited published radiologic literature on the syndrome. The purpose of this study was to review the brain MR imaging findings in Bannayan-Riley-Ruvalcaba syndrome as well as to compare and contrast the findings with other brain disorders that also have brain cysts and white matter lesions. All brain MR imaging studies were reviewed in patients with a diagnosis of Bannayan-Riley-Ruvalcaba syndrome from our hospital. All 7 patients were evaluated with brain MR imaging. MR imaging results showed white matter cysts in the parietal lobe (7/7), frontal lobe (3/7), and temporal lobe (1/7). These were predominantly surrounded by white matter T2 hyperintensities associated with macrocephaly. Cystic lesions on MR imaging in Bannayan-Riley-Ruvalcaba syndrome are prevalent, and knowledge of this differential diagnosis can allow the radiologist to suggest a diagnosis of this condition in a child with macrocephaly.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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; 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".