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Record W3148972285 · doi:10.4021/ijcp122e

Importance of Ultrasound Imaging in Pheochromocytoma in a Child: Case Report and Review of Literature

2013· article· en· W3148972285 on OpenAlexvenueno aff
Dincel

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2013
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePheochromocytomaUltrasoundBlood pressureCatecholamineScintigraphySecondary hypertensionRadiologyInternal medicinePediatrics

Abstract

fetched live from OpenAlex

Pheochromocytomas are rare tumors, originating from adrenal medulla (80-90%), diagnosed at 0.1% of cases with hypertension. Not very rare (40%), diagnosis can be insidious during ultrasound imaging (US) for a non-specific complaint. We are presenting a 13 years old boy who had suffered from non-specific headache without hypertension and any of autonomic disorders, diagnosed by increased urine catecholamine after a mass seen in US. A 13 years old boy has admitted to emergency with blood pressure measurement of 160/110 mmHg. He had severe headache for 18 months without hypertension. In physical exam, hypertension, tachycardia, tremor, and Marfanoid morphology were found. Ultrasound revealed an incidental mass of 33 ? 68 mm, with increased vascularization, on pre- and para-aortic sides. Urinary catecholamine and metabolites were grossly elevated. Iodine-131-metaiodobenzylguanidine scintigraphy also showed the heterogeneous mass located in the right para-aortic region, neighboring the liver. Pheochromocytoma is a rare catecholamine-producing tumor, and has life-threatening consequences. Clinical manifestations can be non-specific. It can be easily diagnosed if it is suspected or screened by US. Here we want to emphasize that such an easy and cheap method (screening by US) can lead us to know earlier this high complicated and incidental disease. Int J Clin Pediatr. 2013;2(2):78-82 doi: http://dx.doi.org/10.4021/ijcp122e

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.381
Teacher spread0.363 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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