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Record W4417109982 · doi:10.3390/life15121873

Embryo Sign on Abdominal CT as the Footprint of Cecal Volvulus: Improved Practice Through Lessons Learned from a Case Report

2025· article· en· W4417109982 on OpenAlexaff
Antonio Pierro, Alessandro Posa, Paolo Mirco, Dario Di Maio, Antonio Vallo, Marcello Lippi, Roberto Cristino, Pierluigi Barbieri, P Oriente, Antonio Totaro, Roberto Iezzi

Bibliographic record

VenueLife · 2025
Typearticle
Languageen
FieldMedicine
TopicIntestinal Malrotation and Obstruction Disorders
Canadian institutionsUniversity Hospital Foundation
FundersNextGenerationEU
KeywordsCecumVolvulusComputed tomographyAscending colonEmergency departmentBowel obstructionAbdomenAcute abdomen

Abstract

fetched live from OpenAlex

Cecal volvulus is a rare cause of acute abdominal pain, resulting from torsion of the cecum and ascending colon due to abnormal mobility caused by inadequate peritoneal fixation. Clinical presentation is often vague and nonspecific, which can delay diagnosis and treatment. Computed tomography (CT) is the imaging modality of choice, as it not only confirms the presence and location of the volvulus but also identifies serious complications such as ischemia or perforation. Abdominal radiographs may be inconclusive, especially when the twisted bowel loop is fluid-filled, aligned antero-posteriorly, or obscured by adjacent gas-filled loops. We present the case of a 65-year-old woman who arrived at the emergency department with sudden-onset abdominal pain. Abdominal CT revealed classic signs of cecal volvulus, including the rarely reported 'embryo sign,' which proved crucial for swift diagnosis and intervention. Recognizing both common and less common CT features, such as the embryo sign, is paramount for rapid diagnosis and appropriate management in emergency situations. Familiarity with the full radiologic spectrum of this condition can significantly improve patient outcomes.

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)0.000
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.367
Teacher spread0.320 · 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 designNot applicable
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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