Real-time Quantitative Optical Perfusion Imaging in Surgery

NCT ID: NCT02902549

Last Updated: 2018-02-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

26 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-10-31

Study Completion Date

2017-12-31

Brief Summary

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Surgeons are nowadays unable to visualize and quantitatively evaluate microvascularisation in real-time during surgery. Complications due to vascular compromise are a major problem, especially in reconstructive surgery. Poor blood perfusion leads to ischemia and even tissue necrosis. If, however, perfusion and ischemia could be monitored during surgery, then surgeons could change their reconstructive design and the anaesthesiologists could improve perfusion with fluids, inotropes or vasopressors, if necessary. Surgeons therefore need a tool that is able to image in high resolution (microvascularisation), direct, intra-operative, in 3D (to image thrombosis, luminal narrowing or distinct overlaying vessels) and that produces quantitative data to objectify image interpretation.

Optical techniques, based on the interaction of light with tissue, are able to image tissue at high resolution and in real-time. These techniques are FDA-approved and have emerged as powerful diagnostic tools in different departments of medicine, such as ophthalmology for visualizing retina vascularisation and dermatology for skin diagnostics.

In this study, investigators hypothesize that four novel optical technologies: Fluorescence Imaging, Laser Speckle Contrast Imaging, Optical Coherence Tomography and Sidestream Darkfield Microscopy are able to quantitatively image perfusion in real-time during surgery.

Detailed Description

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Primary objective - Perfusion will be measured with all the techniques focussed on 4 areas; from 'good' to 'decreased' perfusion (biologically)

Fluorescence Imaging (FI): Time to intensity measurements at four sides Laser Speckle Contrast Imaging (LSCI): Perfusion Units Optical Coherence Tomography (OCT): Vessel density \& decorrelation time Sidestream Darkfield Microscopy (SDF): Total vessel density, proportion of perfused vessels, perfused vessel density, max flow index, De Backer score, perfusion in mm/sec.

Differences in parameters between the four sites will be statistically be compared.

Secondary objectives

\- Relation of parameters to patient outcome in terms of adverse events.

Conditions

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Complications of Perfusion

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Age ≥ 18 years - Scheduled for reconstructive surgery with free flap reconstruction or laparoscopic transhiatal and 3-stage transthoracic gastric tube surgery.

Exclusion Criteria

* Allergic to iodide (indocyanine green)
* Hyper-thyroidism
* Breastfeeding
* No informed consent
* Allergic to ephedrine
* Ischaemic heart disease
* Thyrotoxicosis
* Autonomic thyroid adenomas
* Intraoperative hypertension or tachycardia
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Quest Medical Imaging

INDUSTRY

Sponsor Role collaborator

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

OTHER

Sponsor Role lead

Responsible Party

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S.S. Gisbertz

dr.

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Academic Medical Center

Amsterdam, , Netherlands

Site Status

Countries

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Netherlands

References

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Jansen SM, de Bruin DM, van Berge Henegouwen MI, Strackee SD, Veelo DP, van Leeuwen TG, Gisbertz SS. Can we predict necrosis intra-operatively? Real-time optical quantitative perfusion imaging in surgery: study protocol for a prospective, observational, in vivo pilot study. Pilot Feasibility Stud. 2017 Nov 25;3:65. doi: 10.1186/s40814-017-0204-1. eCollection 2017.

Reference Type DERIVED
PMID: 29209513 (View on PubMed)

Other Identifiers

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NL52377.018.15

Identifier Type: -

Identifier Source: org_study_id

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