Unusual cardiac presentation in neurofibromatosis type 1
Bibliographic record
Abstract
A 21-year-old man was evaluated due to past history of recurrent ventricular tachycardia in infancy in the setting of previously documented neurofibromatosis type 1. Physical examination was remarkable for below-knee amputation undertaken for a painful tibial tumour. Electrocardiogram revealed anterior leads T-wave inversion. Transthoracic echocardiography showed possibly two echobright masses embedded within the ventricular septal myocardium and extending towards the left ventricular (LV) apex (Panel A, arrows; Supplementary data online, Movie S1) with no evidence of flow within the masses by colour Doppler. The remarkable size of the masses was best demonstrated by cardiac magnetic resonance (CMR). A large heterogeneous hypointense mass measuring (5.1 × 7.4 × 6.0 cm) was noted on cine imaging within the ventricular septum extending into both ventricular apices, suggestive of fibrous tumour, with no evidence of inflow/outflow obstruction of either ventricle (Panel B, arrow; Supplementary data online, Movies S2–4). Dynamic gadolinium contrast-enhanced CMR perfusion imaging demonstrated a non-contrast enhancing mass encircled by a thin layer of normally perfused myocardium (Supplementary data online, Movie S5). Delayed enhancement images illustrated intense enhancement of two masses separated by a thin wall of non-enhancing normal myocardium (Panel C, arrow) consistent with two septal fibrous tumours.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".