Evaluation of the pulmonary radioaerosol mucociliary clearance scan as an adjunctive test for the diagnosis of primary ciliary dyskinesia in children
Bibliographic record
Abstract
INTRODUCTION: The accuracy of primary ciliary dyskinesia (PCD) diagnosis has improved but no single test is diagnostic and some cases remain unsolved. Data regarding the accuracy of pulmonary radioaerosol mucociliary clearance scan (PRMCC) for the diagnosis of PCD are limited to predominantly adults using a 24-hour test. This study was performed to determine the accuracy of a 60-minute PRMCC test for diagnosing PCD in children. METHODS: Tc sulfur colloid was inhaled and dynamic imaging acquired for 60 to 120 minutes. Two independent radiologists blinded to the clinical diagnosis and health records overread PRMCC studies. The PRMCC result was compared with the reference standard diagnosis of PCD made by two physicians using the cumulative health record, blinded to PRMCC results. RESULTS: From 2008 to 2018, 57 patients (6-17 years) participated, of which 16 met criteria for the reference diagnosis of PCD. The PRMCC test was conclusive in 54 patients (94.7%) and had a sensitivity of 100% (95% confidence interval [CI] = 78.2-100), specificity of 85.7% (95% CI = 69.7-95.2), positive predictive value of 75% (95% CI = 57.1-87.1), negative predictive value of 100% (95% CI = 90.2-100), and accuracy of 90% (95% CI = 78.2-96.7). CONCLUSION: The 60-minute PRMCC test is noninvasive and feasible in children with a high negative predictive value for PCD. It may be a helpful adjunctive test to rule out PCD when clinical suspicion remains after guideline recommended first-line clinical testing.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".