DOENÇA DE ERDHEIM-CHESTER: ACOMETIMENTO TORÁCICO, ABDOMINAL E OFTALMOLÓGICO
Bibliographic record
Abstract
A doença de Erdheim-Chester é uma doença sistêmica rara, caracterizada pela infiltração difusa de tecidos e múltiplos orgãos por células do sistema reticuloendotelial, caracterizando uma histiocitose não-Langerhans.Nosso caso ilustra o caráter multissitêmico da doença, com acometimento torácico, abdominal e oftalmológico. HISTÓRICO CLÍNICOPaciente do sexo feminino, 61 anos, com história de tosse seca há 1 mês associada a alteração bilateral da visão.Antecedentes: hipertensão arterial sistêmica, arritmia cardíaca, policitemia vera, hipotireoidismo e insuficiência renal crônica.Nega alergias e cirurgias prévias.Sem antecedente oncológico.Ao exame físico se evidenciou proptose bilateral. ACHADOS RADIOLÓGICOSRealizou-se avaliação inicial de imagem com radiografia simples (RX) de tórax (Fig. 1) que evidenciou obliteração do recesso ázigo-esofágico.Após achados no ecocardiograma, foi indicado estudo de ressonância magnética (RM) de tórax (Fig.2) e do abdome (Fig. 3), que evidenciaram formação tecidual mediastinal envolvendo a aorta ascendente e descendente, tronco braquiocefálico, veia cava superior, átrio direito, veia pulmonar inferior direita e os rins.Para estudo da face, foi indicada RM de orbitas (Fig. 4) que mostrou massa infiltrativa de partes moles retro-orbitária bilateral.Após biopsia do tecido retro-orbitário, o estudo anatomopatológico confirmou o diagnóstico de doença de Erdheim-Chester (DEC).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".