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Estimating Patient Size From a Single Radiograph

NCT03341546 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2019-06-11

Study results available
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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.

Conditions

  • Testing a Computational Model to Estimate Patient Size

Interventions

OTHER

A single measurement of the patient's abdominal depth

A single measurement of the patient's anterior-posterior abdominal depth

Sponsors & Collaborators

  • University of Dundee

    collaborator OTHER

  • NHS Tayside

    lead OTHER_GOV

Principal Investigators

  • Sarah Vinnicombe, MD · University of Dundee

Eligibility

Min Age
17 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-03-13
Primary Completion
2018-05-07
Completion
2018-08-24

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03341546 on ClinicalTrials.gov