MedPath

Diagnostic Imaging of Vascular Malformations Using MSOT and ULM

Not yet recruiting
Conditions
Vascular Malformation
Arteriovenous Malformation
Lymphatic Malformation
Venous Malformations
Registration Number
NCT06994260
Lead Sponsor
University Hospital Erlangen
Brief Summary

This clinical study evaluates the efficacy and accuracy of Multispectral Optoacoustic Tomography (MSOT) and Ultrasound Localization Microscopy (ULM) for imaging and diagnosing vascular malformations (venous, arteriovenous, lymphatic). The study aims to enhance diagnostic precision and improve treatment planning through advanced non-invasive imaging techniques.

Detailed Description

This study aims to investigate whether Multispectral Optoacoustic Tomography (MSOT) and Ultrasound Localization Microscopy (ULM) can accurately differentiate between lymphatic, venous, and arteriovenous vascular malformations. MSOT can determine oxygen levels based on the expected low oxygen content in venous blood, high oxygen content in arterial blood, and the absence of oxygen in lymphatic fluid. Additionally, ULM, utilizing microbubbles, measures blood flow velocities, which may help identify and distinguish these malformations or their mixed forms.

To date, vascular malformations of blood and lymphatic vessels are commonly diagnosed using cross-sectional imaging techniques such as ultrasound, computed tomography (CT), or magnetic resonance imaging (MRI). MSOT introduces a novel, non-invasive diagnostic approach that enables the assessment of oxygenated hemoglobin concentrations and oxygen levels in blood and tissue. Previous studies (e.g., MSOT_IC, MSOT_PI) demonstrated the capability of MSOT to visualize muscle perfusion in patients with peripheral arterial disease. Moreover, it has successfully identified muscle structures and the clinical severity of Duchenne muscular dystrophy by detecting endogenous biomarkers like collagen and lipids.

The objective of this study is to utilize MSOT and ULM as supplementary diagnostic tools to conventional imaging methods to accurately identify and distinguish between venous, arteriovenous, and lymphatic malformations in patients. This approach has the potential to reduce exposure to ionizing radiation from CT scans and minimize the need for resource-intensive MRI procedures in the future.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
15
Inclusion Criteria
  • Confirmed vascular malformations (arteriovenous, venous, or lymphatic).
  • ≥18 years old and able to give their consent
Exclusion Criteria
  • No imaging for diagnostic confirmation has been performed or is planned.
  • Lack of written consent
  • <18 years old
  • Safety concerns of the study physician (a patient with physical, psychological, or psychiatric conditions that, in the opinion of the study physician, could compromise the patient's safety or the quality of the data, thereby making the patient an unsuitable candidate for the study).

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Quantitative signal of total hemoglobin (HbT), oxygenated hemoglobin (HbO2), deoxygenated hemoglobin (Hb), and oxygen saturation (mSO2).through study completion, an average of 1 year

using MSOT

Quantification of perfusion dynamics in the respective vessel.through study completion, an average of 1 year

using ULM

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

University Hospital Erlangen, Department of Vascular Surgery

🇩🇪

Erlangen, Bavaria, Germany

University Hospital Erlangen, Department of Vascular Surgery
🇩🇪Erlangen, Bavaria, Germany
Ulrich Rother, PD Dr. med.
Contact
+4991318542028
ulrich.rother@uk-erlangen.de
Rabah F. Sankari
Sub Investigator

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.