Deep Learning Applied to Plain Abdominal Radiographic Surveillance After Endovascular Aneurysm Repair (EVAR) of Abdominal Aortic Aneurysm (AAA)
DeepLearn
1 other identifier
observational
800
1 country
1
Brief Summary
Deep learning applied to plain abdominal radiographic surveillance after Endovascular Aneurysm Repair (EVAR) of Abdominal Aortic Aneurysm (AAA).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2019
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2019
CompletedFirst Submitted
Initial submission to the registry
August 4, 2020
CompletedFirst Posted
Study publicly available on registry
August 7, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 15, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2020
CompletedAugust 7, 2020
August 1, 2019
1 year
August 4, 2020
August 4, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic Accuracy
The diagnostic accuracy of deep learning based algorithm compared to trained human interpretation in the detection of stent graft migration, disintegration and distortion on plain x-rays after EVAR.
1-10 years
Eligibility Criteria
Patients (approximately n = 800) who have undergone EVAR at the Royal Liverpool University Hospital between 2005 and 2013.
You may qualify if:
- Patients who have undergone EVAR at the Royal Liverpool University Hospital between 2005 and 2013.
- Patients who were treated for standard infra-renal AAAs.
- Patients who are on our post-operative surveillance programme and have had 5 plain abdominal radiographs to date.
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Liverpool
Liverpool, Merseyside, L7 8TX, United Kingdom
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Srinivasa Rao Vallabhaneni, MD, FRCS
Royal Liverpool University Hospital NH STrust
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 4, 2020
First Posted
August 7, 2020
Study Start
October 1, 2019
Primary Completion
October 15, 2020
Study Completion
December 31, 2020
Last Updated
August 7, 2020
Record last verified: 2019-08