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Bianchini E, Guala A, Golemati S, Alastruey J, Climie RE, Dalakleidi K, Francesconi M, Fuchs D, Hartman Y, Malik AEF, Makūnaitė M, Nikita KS, Park C, Pugh CJA, Šatrauskienė A, Terentes-Printizios D, Teynor A, Thijssen D, Schmidt-Trucksäss A, Zupkauskienė J, Boutouyrie P, Bruno RM, Reesink KD. The Ultrasound Window Into Vascular Ageing: A Technology Review by the VascAgeNet COST Action. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:2183-2213. [PMID: 37148467 DOI: 10.1002/jum.16243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/24/2023] [Accepted: 04/14/2023] [Indexed: 05/08/2023]
Abstract
Non-invasive ultrasound (US) imaging enables the assessment of the properties of superficial blood vessels. Various modes can be used for vascular characteristics analysis, ranging from radiofrequency (RF) data, Doppler- and standard B/M-mode imaging, to more recent ultra-high frequency and ultrafast techniques. The aim of the present work was to provide an overview of the current state-of-the-art non-invasive US technologies and corresponding vascular ageing characteristics from a technological perspective. Following an introduction about the basic concepts of the US technique, the characteristics considered in this review are clustered into: 1) vessel wall structure; 2) dynamic elastic properties, and 3) reactive vessel properties. The overview shows that ultrasound is a versatile, non-invasive, and safe imaging technique that can be adopted for obtaining information about function, structure, and reactivity in superficial arteries. The most suitable setting for a specific application must be selected according to spatial and temporal resolution requirements. The usefulness of standardization in the validation process and performance metric adoption emerges. Computer-based techniques should always be preferred to manual measures, as long as the algorithms and learning procedures are transparent and well described, and the performance leads to better results. Identification of a minimal clinically important difference is a crucial point for drawing conclusions regarding robustness of the techniques and for the translation into practice of any biomarker.
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Affiliation(s)
| | - Andrea Guala
- Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain
- CIBERCV, Instituto de Salud Carlos III, Madrid, Spain
| | - Spyretta Golemati
- Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Jordi Alastruey
- Department of Biomedical Engineering, King's College London, London, UK
| | - Rachel E Climie
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- INSERM, U970, Paris Cardiovascular Research Center (PARCC), Université de Paris, Hopital Europeen Georges Pompidou - APHP, Paris, France
| | - Kalliopi Dalakleidi
- Biomedical Simulations and Imaging (BIOSIM) Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
| | - Martina Francesconi
- Institute of Clinical Physiology, CNR, Pisa, Italy
- University of Pisa, Pisa, Italy
| | - Dieter Fuchs
- Fujifilm VisualSonics, Amsterdam, The Netherlands
| | - Yvonne Hartman
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Afrah E F Malik
- CARIM School for Cardiovascular Diseases and Heart and Vascular Center, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Monika Makūnaitė
- Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania
| | - Konstantina S Nikita
- Biomedical Simulations and Imaging (BIOSIM) Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
| | - Chloe Park
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Christopher J A Pugh
- Cardiff School of Sport & Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - Agnė Šatrauskienė
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Centre of Cardiology and Angiology, Vilnius University Hospital Santaros klinikos, Vilnius, Lithuania
| | - Dimitrios Terentes-Printizios
- First Department of Cardiology, Hippokration Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Alexandra Teynor
- Faculty of Computer Science, Augsburg University of Applied Sciences, Augsburg, Germany
| | - Dick Thijssen
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arno Schmidt-Trucksäss
- Department of Sport, Exercise and Health, Division Sport and Exercise Medicine, University of Basel, Basel, Switzerland
| | - Jūratė Zupkauskienė
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Pierre Boutouyrie
- INSERM, U970, Paris Cardiovascular Research Center (PARCC), Université de Paris, Hopital Europeen Georges Pompidou - APHP, Paris, France
| | - Rosa Maria Bruno
- INSERM, U970, Paris Cardiovascular Research Center (PARCC), Université de Paris, Hopital Europeen Georges Pompidou - APHP, Paris, France
| | - Koen D Reesink
- CARIM School for Cardiovascular Diseases and Heart and Vascular Center, Maastricht University Medical Center+, Maastricht, The Netherlands
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Joseph J, Kiran R, Nabeel PM, Shah MI, Bhaskar A, Ganesh C, Seshadri S, Sivaprakasam M. ARTSENS ® Pen-portable easy-to-use device for carotid stiffness measurement: technology validation and clinical-utility assessment. Biomed Phys Eng Express 2020; 6:025013. [PMID: 33438639 DOI: 10.1088/2057-1976/ab74ff] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The conventional medical imaging modalities used for arterial stiffness measurement are non-scalable and unviable for field-level vascular screening. The need for an affordable, easy-to-operate automated non-invasive technologies remains unmet. To address this need, we present a portable image-free ultrasound device-ARTSENS® Pen, that uses a single-element ultrasound transducer for carotid stiffness evaluation. APPROACH The performance of the device was clinically validated on a cohort of 523 subjects. A clinical-grade B-mode ultrasound imaging system (ALOKA eTracking) was used as the reference. Carotid stiffness measurements were taken using the ARTSENS® Pen in sitting posture emulating field scenarios. MAIN RESULTS A statistically significant correlation (r > 0.80, p < 0.0001) with a non-significant bias was observed between the measurements obtained from the two devices. The ARTSENS® Pen device could perform highly repeatable measurements (with variation smaller than 10%) on a relatively larger percentage of the population when compared to the ALOKA system. The study results also revealed the sensitivity of ARTSENS® Pen to detect changes in arterial stiffness with age. SIGNIFICANCE The easy-to-use technology and the automated algorithms of the ARTSENS® Pen make it suitable for cardiovascular risk assessment in resource-constrained settings.
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Affiliation(s)
- Jayaraj Joseph
- Healthcare Technology Innovation Centre, Indian Institute of Technology Madras, Taramani, Chennai, Tamil Nadu-600 113, India
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