N/A
Completed N=20
Estimating Patient Size From a Single Radiograph
Testing a Computational Model to Estimate Patient Size
Source: ClinicalTrials.gov NCT03341546 ↗
Enrolled (actual)
20
Serious AEs
—
Results posted
Jun 2019
Primary outcomePrimary: Accuracy of the Computational Model — 5.8 percentage agreement (est/measured)
Summary
A computational model has been created to estimate the abdominal depth of a patient from a single x-ray image. The model has been tested using phantoms and found to be accurate; this study aims to test the accuracy of the model with patients and in a clinical setting.
This will be achieved by enrolling patient's who have already been referred for an anterior-posterior abdomen x-ray examination to the trial, taking a physical measurement of their anterior-posterior abdominal depth and then comparing this measured value with a value as estimated using the computational model based on the patient's x-ray image.
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Accuracy of the Computational Model |
5.8 | — |
Eligibility Criteria
Inclusion Criteria
- Adult
- Referred to Ninewells Hospital for an anterior-posterior abdomen x-ray examination
Exclusion Criteria
- Patients unable to give consent
- Patients who have had a contrast injection in the previous 24 hours
- Patients suffering abdominal pain at the time of the examination
Data sourced from ClinicalTrials.gov (NCT03341546). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication. Informational only — not medical advice.