Quantitative Assessment and Characterization of Microvascular Function Using Diffuse Optical Tomography
DOT
1 other identifier
interventional
19
1 country
1
Brief Summary
Atherosclerosis is accompanied by microvascular dysfunction (an impairment of blood vessels to dilate or constrict in response to demand). The ability to reliably measure microvascular dysfunction would help identify patients at risk of myocardial infarction and test new treatments. All existing measures of microvascular dysfunction suffer significant limitations. Near Infrared Spectroscopy (NIRS) is an imaging method that uses an infrared light-source and detector (called optodes) to painlessly shines light into tissue and collect reflected light at different wavelengths. This data allows quantification of the amount of haemoglobin (blood) in the tissue and whether it is oxygenated or de-oxygenated. Diffuse optical tomography (DOT) is a powerful analysis technique for data collected from multiple NIRH optodes. Unlike most NIRS studies that use a single pair of optodes and collects a single datapoint for each wavelength over time, DOT allows three-dimensional spatial reconstruction of haemodynamic and anatomic changes in a large region of tissue over time. In preliminary work DOT had the potential to measure forearm reactive hyperaemia, a key indicator of microvascular function. Team will test whether DOT can detect differences between patients and healthy volunteers. In this work, 30 patients will be recruited with type 2 diabetes, 30 patients who have had a previous myocardial infarction and 30 healthy volunteers. The Investigator will also recruit 50 patients who are on waiting lists for coronary angiography. The DOT will be used to measure participants' microvascular function after brachial artery occlusion by a blood pressure cuff. The Investigator will then examine whether DOT can detect differences between healthy volunteers, diabetics, and patients with a previous heart attack, and whether DOT is able to predict existence of coronary artery disease on angiography. If successful, DOT can be developed for assessment of microvascular function to the point where it could be applied to clinical studies.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jan 2016
Longer than P75 for not_applicable
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
January 11, 2016
CompletedFirst Submitted
Initial submission to the registry
December 18, 2017
CompletedFirst Posted
Study publicly available on registry
January 26, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 26, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
March 26, 2020
CompletedMay 17, 2022
May 1, 2022
4.2 years
December 18, 2017
May 10, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Can diffuse optical tomography detect microvascular function?
Measuring microvascular function with diffuse optical tomography
3 years from start date
Secondary Outcomes (3)
Detecting differences in microvascular function in atherosclerosis
3 years from start date
Detecting differences in microvascular function in diabetes
3 years from start date
Predicting coronary artery disease before angiography
3 years from start date
Study Arms (2)
Vascular function
EXPERIMENTALDiffuse optical tomography detection of differences in vascular function between healthy volunteers and patients with proven heart disease or diabetes.
Coronary artery disease
EXPERIMENTALDiffuse optical tomography prediction of presence or severity of coronary artery disease on angiography.
Interventions
Optical tomography is a form of computed tomography that creates a digital volumetric model of an object by reconstructing images made from light transmitted and scattered through an object.
Eligibility Criteria
You may qualify if:
- Age 18-80 of either sex
- Ability to read and speak English to a level allowing understanding of the patient information and to give consent to participate
- Diagnosed as type 2 diabetic for at least 12 months
- No painful arms or health problems preventing blood pressure cuff inflation
- No lymphoedema of the arm
- Not diabetic or known to have suffered a myocardial infarction in the past
You may not qualify if:
- Any patients that do not meet the above criteria will be excluded
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Northern General Hospital
Sheffield, South Yorkshire, S5 7AU, United Kingdom
Related Publications (10)
Marzilli M, Merz CN, Boden WE, Bonow RO, Capozza PG, Chilian WM, DeMaria AN, Guarini G, Huqi A, Morrone D, Patel MR, Weintraub WS. Obstructive coronary atherosclerosis and ischemic heart disease: an elusive link! J Am Coll Cardiol. 2012 Sep 11;60(11):951-6. doi: 10.1016/j.jacc.2012.02.082.
PMID: 22954239BACKGROUNDTooke JE. Microvascular function in human diabetes. A physiological perspective. Diabetes. 1995 Jul;44(7):721-6. doi: 10.2337/diab.44.7.721.
PMID: 7789639BACKGROUNDPyke KE, Tschakovsky ME. Peak vs. total reactive hyperemia: which determines the magnitude of flow-mediated dilation? J Appl Physiol (1985). 2007 Apr;102(4):1510-9. doi: 10.1152/japplphysiol.01024.2006. Epub 2006 Dec 14.
PMID: 17170205BACKGROUNDCharakida M, Masi S, Luscher TF, Kastelein JJ, Deanfield JE. Assessment of atherosclerosis: the role of flow-mediated dilatation. Eur Heart J. 2010 Dec;31(23):2854-61. doi: 10.1093/eurheartj/ehq340. Epub 2010 Sep 23.
PMID: 20864485BACKGROUNDHuang AL, Silver AE, Shvenke E, Schopfer DW, Jahangir E, Titas MA, Shpilman A, Menzoian JO, Watkins MT, Raffetto JD, Gibbons G, Woodson J, Shaw PM, Dhadly M, Eberhardt RT, Keaney JF Jr, Gokce N, Vita JA. Predictive value of reactive hyperemia for cardiovascular events in patients with peripheral arterial disease undergoing vascular surgery. Arterioscler Thromb Vasc Biol. 2007 Oct;27(10):2113-9. doi: 10.1161/ATVBAHA.107.147322. Epub 2007 Aug 23.
PMID: 17717291BACKGROUNDMitchell GF, Parise H, Vita JA, Larson MG, Warner E, Keaney JF Jr, Keyes MJ, Levy D, Vasan RS, Benjamin EJ. Local shear stress and brachial artery flow-mediated dilation: the Framingham Heart Study. Hypertension. 2004 Aug;44(2):134-9. doi: 10.1161/01.HYP.0000137305.77635.68. Epub 2004 Jul 12.
PMID: 15249547BACKGROUNDRubinshtein R, Kuvin JT, Soffler M, Lennon RJ, Lavi S, Nelson RE, Pumper GM, Lerman LO, Lerman A. Assessment of endothelial function by non-invasive peripheral arterial tonometry predicts late cardiovascular adverse events. Eur Heart J. 2010 May;31(9):1142-8. doi: 10.1093/eurheartj/ehq010. Epub 2010 Feb 24.
PMID: 20181680BACKGROUNDBonetti PO, Pumper GM, Higano ST, Holmes DR Jr, Kuvin JT, Lerman A. Noninvasive identification of patients with early coronary atherosclerosis by assessment of digital reactive hyperemia. J Am Coll Cardiol. 2004 Dec 7;44(11):2137-41. doi: 10.1016/j.jacc.2004.08.062.
PMID: 15582310BACKGROUNDDhawan AP, D'Alessandro B, Fu X. Optical imaging modalities for biomedical applications. IEEE Rev Biomed Eng. 2010;3:69-92. doi: 10.1109/RBME.2010.2081975.
PMID: 22275202BACKGROUNDTakagishi Y, Yamamura H. Purkinje cell abnormalities and synaptogenesis in genetically jaundiced rats (Gunn rats). Brain Res. 1989 Jul 17;492(1-2):116-28. doi: 10.1016/0006-8993(89)90894-9.
PMID: 2752293BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Timothy Chico
University of Sheffield
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 18, 2017
First Posted
January 26, 2018
Study Start
January 11, 2016
Primary Completion
March 26, 2020
Study Completion
March 26, 2020
Last Updated
May 17, 2022
Record last verified: 2022-05