Utility and Diagnostic Accuracy of Sonography in Detecting Appendicitis in a Community Hospital
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to determine the utility and accuracy of sonography in diagnosing acute appendicitis in patients with suspected acute appendicitis in a general community hospital. MATERIALS AND METHODS: All reports relating to appendicitis were retrospectively obtained from archived transcription reports of nine radiologists from a geographically constrained hospital between December 1999 and December 2003 by a search on the keyword "appendicitis." These files were correlated with the histopathology reports from surgical appendectomy or findings from clinical follow-up during the same period. A survey eliciting the views of five local surgeons on the utility of sonography for the detection of acute appendicitis was also collected. RESULTS: Sonography reports for 667 patients (mean age, 34 years; range, 6-93 years) were obtained. Of these, a total of 174 had pathologically proven appendicitis and 145 had positive findings for appendicitis on sonography. The accuracy was 92%; sensitivity, 83%; and specificity, 95%. The positive predictive value was 86%, and the negative predictive value was 94%. Three of the five surveyed surgeons indicated they used sonography less than 25% of the time, with none using it more than 75%. CONCLUSION: The sensitivity, specificity, accuracy, and positive and negative predicative values of sonography performed by general radiologists in a community hospital are comparable to statistics quoted in the literature for academic institutions. The most common error was the tendency to misclassify appendixes under 6 mm. Most surgeons surveyed stated their use of sonography would increase if sonography yielded a sensitivity and specificity of 85% or greater.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".