Diagnostic Imaging of Vascular Malformations Using MSOT and ULM
NCT ID: NCT06994260
Last Updated: 2025-06-22
Study Results
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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NOT_YET_RECRUITING
15 participants
OBSERVATIONAL
2025-08-01
2026-06-01
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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Venous Malformation
Patients with venous malformations.
Multispectral Optoacoustic Tomography
MSOT is an advanced imaging technology that combines laser-induced ultrasound and light absorption to visualize biological tissues. By detecting ultrasound waves generated from tissue absorption of multispectral light, MSOT provides high-resolution, real-time images with functional and molecular information. One of its use is in biomedical research and clinical applications to study blood oxygenation and tissue composition, making it valuable for areas such as vascular research.
In this study, we aim to utilize MSOT to differentiate between venous, arteriovenous and lymphatic malformations.
Ultrasound Localization Microscopy
ULM is a cutting-edge imaging technique that significantly enhances the resolution of traditional ultrasound by tracking the movement of microbubble contrast agents within blood vessels. This approach enables the visualization of microvascular structures and blood flow dynamics at a super-resolution scale, beyond the diffraction limit of conventional ultrasound.
In this study, we aim to utilize ULM to differentiate between venous, arteriovenous and lymphatic malformations.
Arteriovenous Malformations
Patients with arteriovenous malformations.
Multispectral Optoacoustic Tomography
MSOT is an advanced imaging technology that combines laser-induced ultrasound and light absorption to visualize biological tissues. By detecting ultrasound waves generated from tissue absorption of multispectral light, MSOT provides high-resolution, real-time images with functional and molecular information. One of its use is in biomedical research and clinical applications to study blood oxygenation and tissue composition, making it valuable for areas such as vascular research.
In this study, we aim to utilize MSOT to differentiate between venous, arteriovenous and lymphatic malformations.
Ultrasound Localization Microscopy
ULM is a cutting-edge imaging technique that significantly enhances the resolution of traditional ultrasound by tracking the movement of microbubble contrast agents within blood vessels. This approach enables the visualization of microvascular structures and blood flow dynamics at a super-resolution scale, beyond the diffraction limit of conventional ultrasound.
In this study, we aim to utilize ULM to differentiate between venous, arteriovenous and lymphatic malformations.
Lymphatic Malformations
Patients with lymphatic malformations.
Multispectral Optoacoustic Tomography
MSOT is an advanced imaging technology that combines laser-induced ultrasound and light absorption to visualize biological tissues. By detecting ultrasound waves generated from tissue absorption of multispectral light, MSOT provides high-resolution, real-time images with functional and molecular information. One of its use is in biomedical research and clinical applications to study blood oxygenation and tissue composition, making it valuable for areas such as vascular research.
In this study, we aim to utilize MSOT to differentiate between venous, arteriovenous and lymphatic malformations.
Ultrasound Localization Microscopy
ULM is a cutting-edge imaging technique that significantly enhances the resolution of traditional ultrasound by tracking the movement of microbubble contrast agents within blood vessels. This approach enables the visualization of microvascular structures and blood flow dynamics at a super-resolution scale, beyond the diffraction limit of conventional ultrasound.
In this study, we aim to utilize ULM to differentiate between venous, arteriovenous and lymphatic malformations.
Interventions
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Multispectral Optoacoustic Tomography
MSOT is an advanced imaging technology that combines laser-induced ultrasound and light absorption to visualize biological tissues. By detecting ultrasound waves generated from tissue absorption of multispectral light, MSOT provides high-resolution, real-time images with functional and molecular information. One of its use is in biomedical research and clinical applications to study blood oxygenation and tissue composition, making it valuable for areas such as vascular research.
In this study, we aim to utilize MSOT to differentiate between venous, arteriovenous and lymphatic malformations.
Ultrasound Localization Microscopy
ULM is a cutting-edge imaging technique that significantly enhances the resolution of traditional ultrasound by tracking the movement of microbubble contrast agents within blood vessels. This approach enables the visualization of microvascular structures and blood flow dynamics at a super-resolution scale, beyond the diffraction limit of conventional ultrasound.
In this study, we aim to utilize ULM to differentiate between venous, arteriovenous and lymphatic malformations.
Eligibility Criteria
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Inclusion Criteria
* ≥18 years old and able to give their consent
Exclusion Criteria
* 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).
18 Years
ALL
No
Sponsors
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PD Dr. med. Ferdinand Knieling, Department of pediatrics, University of Erlangen-Nürnberg
UNKNOWN
University Hospital Erlangen
OTHER
Responsible Party
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Ulrich Rother
Senior Consultant, Department of Vascular Surgery, University Hospital Erlangen
Locations
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University Hospital Erlangen, Department of Vascular Surgery
Erlangen, Bavaria, Germany
Countries
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Central Contacts
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Facility Contacts
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References
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Seront E, Vikkula M, Boon LM. Venous Malformations of the Head and Neck. Otolaryngol Clin North Am. 2018 Feb;51(1):173-184. doi: 10.1016/j.otc.2017.09.003.
Kansy K, Bodem J, Engel M, Freudlsperger C, Mohlenbruch MA, Herweh C, Bendszus M, Hoffmann J, Kargus S. Interdisciplinary treatment algorithm for facial high-flow arteriovenous malformations, and review of the literature. J Craniomaxillofac Surg. 2018 May;46(5):765-772. doi: 10.1016/j.jcms.2018.03.002. Epub 2018 Mar 9.
Gray RL, Ortiz RA, Bastidas N. Combined Surgery and Intraoperative Sclerotherapy for Vascular Malformations of the Head/Neck: The Hybrid Approach. Ann Plast Surg. 2018 Apr;80(4 Suppl 4):S156-S157. doi: 10.1097/SAP.0000000000001366.
Dompmartin A, Vikkula M, Boon LM. Venous malformation: update on aetiopathogenesis, diagnosis and management. Phlebology. 2010 Oct;25(5):224-35. doi: 10.1258/phleb.2009.009041.
Demene C, Robin J, Dizeux A, Heiles B, Pernot M, Tanter M, Perren F. Transcranial ultrafast ultrasound localization microscopy of brain vasculature in patients. Nat Biomed Eng. 2021 Mar;5(3):219-228. doi: 10.1038/s41551-021-00697-x. Epub 2021 Mar 15.
Carqueja IM, Sousa J, Mansilha A. Vascular malformations: classification, diagnosis and treatment. Int Angiol. 2018 Apr;37(2):127-142. doi: 10.23736/S0392-9590.18.03961-5. Epub 2018 Feb 8.
Other Identifiers
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MSOT_ULM_malfo
Identifier Type: -
Identifier Source: org_study_id
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