NCT03611361

Brief Summary

This is a proof-of-concept study to collect images to train a CADe algorithm to predict the correct level of amputation in individuals scheduled for amputation secondary to PAD.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
55

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Nov 2015

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
terminated

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 18, 2015

Completed
2.7 years until next milestone

First Submitted

Initial submission to the registry

July 26, 2018

Completed
7 days until next milestone

First Posted

Study publicly available on registry

August 2, 2018

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2020

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2020

Completed
Last Updated

April 17, 2024

Status Verified

April 1, 2024

Enrollment Period

4.6 years

First QC Date

July 26, 2018

Last Update Submit

April 15, 2024

Conditions

Keywords

peripheral arterial diseasere-amputationoptical imagingComputer Assisted Detection (CADe)

Outcome Measures

Primary Outcomes (1)

  • Standardized amputation healing assessment

    Healing as indicated by: re-epithelialization of tissue within the incision site and no signs of drainage/exudate.

    30-days

Secondary Outcomes (1)

  • Standardized amputation healing assessment

    90-days

Interventions

The DeepView is an imaging device which simultaneously performs multispectral imaging (MSI) measurements across the visible and infrared spectrum to obtain a quantitative tissue viability assessment. These optical measurements are integrated using a machine learning (ML) algorithm to categorize microvascular blood flow and provide a quantitative assessment for selection of tissue healing.

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adult patients diagnosed with peripheral arterial disease in a lower extremity.

You may qualify if:

  • Patient must require amputation on a limb secondary to PAD, defined as arterial insufficiency due to atherosclerosis based on one or more of the following assessments:
  • Ankle brachial index;
  • Duplex ultrasonography showing clinically significant occlusion;
  • Arteriography; or
  • Assessment demonstrating stenosis by arterial calcification.
  • Able to give informed consent,
  • Be at least 18 years of age.

You may not qualify if:

  • No history of major amputation on the affected limb, or
  • Life expectancy less than 6 months.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Dr. Dennis Gable

Plano, Texas, 75093, United States

Location

Related Publications (3)

  • Kono Y, Muder RR. Identifying the incidence of and risk factors for reamputation among patients who underwent foot amputation. Ann Vasc Surg. 2012 Nov;26(8):1120-6. doi: 10.1016/j.avsg.2012.02.011. Epub 2012 Jul 25.

    PMID: 22840342BACKGROUND
  • Zonios G, Bykowski J, Kollias N. Skin melanin, hemoglobin, and light scattering properties can be quantitatively assessed in vivo using diffuse reflectance spectroscopy. J Invest Dermatol. 2001 Dec;117(6):1452-7. doi: 10.1046/j.0022-202x.2001.01577.x.

    PMID: 11886508BACKGROUND
  • Thatcher JE, Li W, Rodriguez-Vaqueiro Y, Squiers JJ, Mo W, Lu Y, Plant KD, Sellke E, King DR, Fan W, Martinez-Lorenzo JA, DiMaio JM. Multispectral and Photoplethysmography Optical Imaging Techniques Identify Important Tissue Characteristics in an Animal Model of Tangential Burn Excision. J Burn Care Res. 2016 Jan-Feb;37(1):38-52. doi: 10.1097/BCR.0000000000000317.

    PMID: 26594863BACKGROUND

Biospecimen

Retention: SAMPLES WITHOUT DNA

Skin punch biopsies

MeSH Terms

Conditions

Peripheral Arterial Disease

Condition Hierarchy (Ancestors)

AtherosclerosisArteriosclerosisArterial Occlusive DiseasesVascular DiseasesCardiovascular DiseasesPeripheral Vascular Diseases

Study Officials

  • Dennis Gable, MD

    Baylor College of Medicine

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
PROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 26, 2018

First Posted

August 2, 2018

Study Start

November 18, 2015

Primary Completion

July 1, 2020

Study Completion

December 1, 2020

Last Updated

April 17, 2024

Record last verified: 2024-04

Data Sharing

IPD Sharing
Will not share

Locations