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OpenTrials
Completed

NCT Number: NCT03341546

Estimating Patient Size From a Single Radiograph

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.

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Key information

Age range

17 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

NHS Tayside

Dundee, Angus, DD1 9SY, United Kingdom

About this study

A non-commercial computational model has been developed in-house to estimate the patient's anterior-posterior or lateral depth using the radiographic image and the known exposure factors with which it was undertaken. This model has been tested using single composition phantoms and found to be accurate. If it was found to be accurate for real clinical examinations, this would automate the measurement of patient size and give institutions the estimate of patient size required for local paediatric patient dose audit. In turn, this would provide the national data required to propose national reference values for paediatric x-ray examinations, which would give all institutions an important comparator for their performance. This would lead to optimisation in those sites most requiring it; nationally, paediatric x-ray imaging would improve in time.

This pilot study is necessary to determine if the computational model is accurate enough to be relied upon. Accuracy will be determined by comparing the estimate made by the computational model for each patient with an actual measurement of the patient's anterior-posterior abdomen depth made at the time of the examination.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

A single measurement of the patient's abdominal depth

Other

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

Primary outcomes

  1. Accuracy of the Computational Model

    Time frame: 2 months

    The computational model was used to estimate the patient's anterior-posterior abdominal depth using the digital radiographic image, the exposure factors with which it was acquired and a priori knowledge relating to the x-ray unit and digital detector.

    The outcome measure was the accuracy with which the computational model estimates the patient's anterior-posterior abdominal depth. It was determined by comparing the estimate to measured anterior-posterior abdominal depth (measured at the time of the x-ray examination). Results are expressed as a percentage deviation; a low % deviation is more accurate, a high % deviation less accurate.

Sponsors and collaborators

Lead sponsor

NHS Tayside

Other Gov

Collaborators

  • University of Dundee

Registry information

Official study title

Validation of a Computational Model to Estimate Patient Anterior-posterior Dimension From an Abdominal Radiograph

Acronym: VocMepAdar

Important dates

Study start
2018
Primary completion
2018
Study completion
2018
First posted
Nov 14, 2017
Registry last updated
Jun 11, 2019

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.