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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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Dib FR, Duarte G, Sala MM, Ferriani RA, Berezowski AT. Prospective evaluation of renal artery resistance and pulsatility indices in normal pregnant women. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2003; 22:515-519. [PMID: 14618666 DOI: 10.1002/uog.240] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
OBJECTIVES To establish normal values for renal artery resistance index (RI) and pulsatility index (PI) during gestation and, by comparison with non-pregnant controls, to determine if pregnancy affects these indices. METHODS This was a prospective longitudinal study involving 36 normal pregnant women who underwent a total of 280 examinations at 4-week intervals from the 6th gestational week to the end of pregnancy. High-resolution ultrasound equipment with 'triplex' Doppler facilities was used. RI and PI were obtained for the main arteries of both kidneys. The same evaluation was performed in 15 non-pregnant women as controls. RESULTS The mean RI in pregnant and non-pregnant women was the same (0.65 +/- 0.03 for controls and 0.65 +/- 0.02 for the pregnant women). For PI, the values were 1.25 +/- 0.12 for non-pregnant women and 1.18 +/- 0.09 for pregnant women. The only statistical difference (P < 0.05) was found between the PI of the left renal artery in the control group (1.29 +/- 0.20) and that in the pregnant group at the 8-12-week interval of gestational age (1.08 +/- 0.14). CONCLUSIONS No significant alterations in renal artery RI and PI occur during normal pregnancy, except for in a subgroup of patients between 8 and 12 weeks of gestation.
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Affiliation(s)
- F R Dib
- Departamento de Ginecologia e Obstetrícia da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo-USP, Brazil.
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