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Record W2110759563 · doi:10.1097/mph.0b013e3181b79613

INI1 (BAF 47) Immunohistochemistry is an Essential Diagnostic Tool for Children With Hepatic Tumors and Low Alpha Fetoprotein

2010· article· en· W2110759563 on OpenAlexaff
Anwar Al Nassan, Maher A. Sughayer, Ismail Matalka, Khalil Ghandour, Main Masarweh, Arthur Zimmermann, Iyad Sultan

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineDifferential diagnosisImmunohistochemistryMalignancyImmunostainingHepatic tumorAlpha-fetoproteinPathologyAlpha (finance)RadiologyInternal medicineHepatocellular carcinomaSurgery

Abstract

fetched live from OpenAlex

Malignant rhabdoid tumor (MRT) of the liver is a rare malignancy with grave prognosis. This entity should be considered in the differential diagnosis of any aggressive liver tumor with low levels of alpha fetoprotein. We report 2 cases of hepatic MRT presenting in infancy. In these 2 cases, we show that loss of INI1 facilitates making the correct diagnosis of primary hepatic MRT utilizing BAF 47 (INI1 gene product) immunostains. Difficulty encountered in making this rare diagnosis, including the need for repeated biopsies, can be avoided if MRT is considered in the differential diagnosis early on and BAF 47 immunohistochemistry is ordered.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0010.000
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 head0.005
GPT teacher head0.273
Teacher spread0.268 · 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 designBench or experimental
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

Citations25
Published2010
Admission routes1
Has abstractyes

Explore more

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