Surgically Important Bowel and/or Mesenteric Injury in Blunt Trauma: Accuracy of Multidetector CT for Evaluation
Bibliographic record
Abstract
PURPOSE: To determine the accuracy of multidetector computed tomography (CT) in the detection of surgically important blunt bowel and/or mesenteric injury, to identify and describe the most reliable CT features of bowel and/or mesenteric injury, and to evaluate the performance of readers with different levels of expertise. MATERIALS AND METHODS: Institutional review board approval was obtained for this retrospective case-control study of 96 subjects with laparotomy-confirmed findings: 54 consecutive patients with bowel and/or mesenteric injury (surgically important and unimportant) (32 male patients, 22 female patients; mean age, 40.4 years +/- 17.6 [standard deviation]; range, 16-86 years) and 42 matched patients without bowel and/or mesenteric injury (22 male patients, 20 female patients; mean age, 36.8 years +/- 20.1; range, 14-84 years) who underwent four-detector CT prior to surgery. A second-year radiology resident, an abdominal imaging fellow, and a staff abdominal radiologist, blinded to patient outcome, independently reviewed CT studies and recorded the probability of bowel and/or mesenteric injury on a five-point scale. Sensitivity and specificity were calculated for each reviewer, and areas under the receiver operating characteristic curve (AUCs) were compared. RESULTS: Thirty-eight (40%) of 96 patients had surgically important bowel and/or mesenteric injury, and 58 (60%) of 96 patients had either no or surgically unimportant bowel and/or mesenteric injury. Sensitivities of the three reviewers in the diagnosis of surgically important bowel and/or mesenteric injury ranged from 87% (33 of 38) to 95% (36 of 38); specificities ranged from 48% (28 of 58) to 84% (49 of 58). The only significantly better AUC belonged to the staff radiologist for surgically important mesenteric injury (P = .01). Bowel wall defect, extraluminal contrast material, thick large bowel, mesenteric vessel beading, abrupt termination of mesenteric vessels, and mesenteric vessel extravasation showed the best positive likelihood ratios for surgically important bowel and/or mesenteric injury; absence of peritoneal fluid showed the best negative likelihood ratio. CONCLUSION: Multidetector CT findings accurately reveal surgically important bowel and/or mesenteric injury and have a high negative predictive value.
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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 | 0.003 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".