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Record W4417263007 · doi:10.1111/petr.70244

Angiographic Imaging of an Aberrant Splenic Artery Origin From the Superior Mesenteric Artery in a Pediatric Liver Transplant Recipient

2025· article· en· W4417263007 on OpenAlexaff
Ibrahim Alrashidi, Augusto Villegas, Manraj K. S. Heran

Bibliographic record

VenuePediatric Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsSuperior mesenteric arterySplenic arteryAngiographyCeliac arteryArteryTrunkComputed tomography angiographyLiver transplantation

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe an exceedingly rare vascular anatomical variant of the splenic artery arising from the superior mesenteric artery (SMA), termed a splenomesenteric trunk, with angiographic imaging in a pediatric patient. METHODS: Case review of a 6 year-old boy, status post liver transplantation for biliary atresia, who presented with ongoing hematemesis, melena, portal hypertension and chronic thrombocytopenia from hypersplenism. He underwent portal venous stenting, and we decided to perform a partial splenic embolization to reduce portal pressure and improve platelet counts. CT and angiographic imaging findings are presented, with literature correlation. RESULTS: CT 3D and DSA demonstrated the absence of the splenic artery on injection of the celiac trunk. Selective SMA angiography revealed a variant origin of the splenic artery from the SMA, with normal caliber and no aneurysm or stenosis. CONCLUSION: Recognition of this rare vascular variant is essential to avoid procedural complications. This represents, to our knowledge, the first angiographically documented case of a splenomesenteric trunk in a pediatric patient.

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)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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
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
Published2025
Admission routes1
Has abstractyes

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