Embryo Sign on Abdominal CT as the Footprint of Cecal Volvulus: Improved Practice Through Lessons Learned from a Case Report
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".