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Record W2077969734 · doi:10.1159/000082439

Large Hepatic Mesenchymal Hamartoma Leading to Mid-Trimester Fetal Demise

2005· review· en· W2077969734 on OpenAlexaff
Jean‐Martin Laberge, Yves Patenaude, Valérie Désilets, Lola Cartier, Sarah Khalifé, Luc Jutras, Moy-Fong Chen

Bibliographic record

VenueFetal Diagnosis and Therapy · 2005
Typereview
Languageen
FieldMedicine
TopicCongenital Anomalies and Fetal Surgery
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicinePolyhydramniosFetusPrenatal diagnosisCystAutopsyHamartomaPlacentaAbdominal massObstetricsPregnancySurgeryPathology

Abstract

fetched live from OpenAlex

This report describes a fetus with a large multiloculated cystic liver mass. Two small abdominal cysts were seen on ultrasound at 19 weeks of gestation but the patient was referred to us at 23 weeks, after the mass had grown to 8.0 x 5.6 x 7.0 cm, displacing intra-abdominal organs, heart and diaphragm. There was a small amount of ascites but no hydrops. There was polyhydramnios and a thick hyperechoic placenta. After detailed sonograms and MRI suggested the diagnosis of cystic mesenchymal hamartoma of the liver, cyst decompression was favored and consent was obtained. Unfortunately, absence of fetal cardiac activity was noted on the day of the planned intervention. Autopsy confirmed the diagnosis and demonstrated placental changes consistent with mesenchymal stem villous hyperplasia of the placenta. Large fetal cystic abdominal masses that compress the heart, lungs and other organs may benefit from prenatal decompression. This is the first report of cystic hamartoma of the liver apparent on second-trimester sonography, and the fourth time such a lesion is associated with fetal or neonatal death out of 11 cases diagnosed prenatally.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.058
GPT teacher head0.340
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreReview

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

Citations62
Published2005
Admission routes1
Has abstractyes

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