Estimating Patient Size From a Single Radiograph

NCT ID: NCT03341546

Last Updated: 2019-06-11

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 20 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2018-03-13
• Study Completion Date: 2018-08-24

Brief 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.

Detailed Description

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.

Conditions

Testing a Computational Model to Estimate Patient Size

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

Patient cohort

20 patients referred to Ninewells Hospital radiology department for an anterior-posterior abdomen x-ray examination. All of these patients will have a measurement of their anterior-posterior depth before undergoing their x-ray examination. An estimate of their anterior-posterior depth will then be made from their x-ray image using the computational model.

A single measurement of the patient's abdominal depth

Intervention Type: OTHER

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

Interventions

A single measurement of the patient's abdominal depth

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

Intervention Type: OTHER

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

• Minimum Eligible Age: 17 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

University of Dundee

OTHER

Sponsor Role: collaborator

NHS Tayside

OTHER_GOV

Sponsor Role: lead

Responsible Party

Mark Worrall

Radiation Protection Adviser

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Sarah Vinnicombe, MD

Role: STUDY_CHAIR

University of Dundee

Locations

NHS Tayside

Dundee, Angus, United Kingdom

Countries

United Kingdom

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

2017RA01

Identifier Type: -

Identifier Source: org_study_id