Clinical trial NCT03341546: Estimating Patient Size From a Single Radiograph
Official title: Validation of a Computational Model to Estimate Patient Anterior-posterior Dimension From an Abdominal Radiograph
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Testing a Computational Model to Estimate Patient Size
Lead sponsor: NHS Tayside
Sponsor class: OTHER_GOV
Collaborators: name: University of Dundee
First posted: 2017-11-14
Enrollment: 20
Sex: ALL
Minimum age (years): 17
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: CASE_ONLY
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Ambulatory outpatients attending Ninewells Hospital's radiology department for an anterior-posterior abdomen x-ray examination

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.

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

Primary outcomes:
measure: Accuracy of the Computational Model
timeFrame: 2 months
Secondary outcomes:
Other outcomes:
Locations:
city: Dundee
country: United Kingdom
facility: NHS Tayside
state: Angus
Study officials:
affiliation: University of Dundee
name: Sarah Vinnicombe, MD
role: STUDY_CHAIR
References: