Patient-specific non-invasive estimation of the aortic blood pressure waveform by ultrasound and tonometry

被引:0
|
作者
Zhou, Shuran [1 ,2 ]
Xu, Kai [3 ]
Fang, Yi [3 ]
Alastruey, Jordi [4 ]
Vennin, Samuel [4 ]
Yang, Jun [5 ]
Wang, Junli [5 ]
Xu, Lisheng [1 ,6 ,7 ]
Wang, Xiaocheng [2 ]
Greenwald, Steve E. [8 ]
机构
[1] Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang 110169, Peoples R China
[2] Air Force Med Univ, Aerosp Clin Med Ctr, Sch Aerosp Med, Xian 710032, Peoples R China
[3] Gen Hosp Northern Theater Command, Dept Cardiol, Shenyang 110840, Peoples R China
[4] St Thomas Hosp, Kings Coll London, Div Imaging Sci & Biomed Engn, London SE1 7EH, England
[5] China Med Univ, Hosp 1, Dept Cardiovasc Ultrasound, Shenyang 110122, Peoples R China
[6] Minist Educ, Engn Res Ctr Med Imaging & Intelligent Anal, Shenyang 110169, Peoples R China
[7] Neusoft Res Intelligent Healthcare Technol Co Ltd, Shenyang 110169, Peoples R China
[8] Queen Mary Univ London, Barts & London Sch Med & Dent, Blizard Inst, London E1 4NS, England
基金
中国国家自然科学基金;
关键词
Aortic blood pressure; Flow velocity; Diameter; Pulse wave velocity; Ultrasound; PULSE-WAVE; VELOCITY; VALIDATION; ARTERIES; SPEED; DERIVATION;
D O I
10.1016/j.cmpb.2024.108082
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Background and Objective: Aortic blood pressure (ABP) is a more effective prognostic indicator of cardiovascular disease than peripheral blood pressure. A highly accurate algorithm for non-invasively deriving the ABP wave, based on ultrasonic measurement of aortic flow combined with peripheral pulse wave measurements, has been proposed elsewhere. However, it has remained at the proof-of-concept stage because it requires a priori knowledge of the ABP waveform to calculate aortic pulse wave velocity (PWV). The objective of this study is to transform this proof-of-concept algorithm into a clinically feasible technique. Methods: We used the Bramwell-Hill equation to non-invasively calculate aortic PWV which was then used to reconstruct the ABP waveform from non-invasively determined aortic blood flow velocity, aortic diameter, and radial pressure. The two aortic variables were acquired by an ultrasound system from 90 subjects, followed by recordings of radial pressure using a SphygmoCor device. The ABPs estimated by the new algorithm were compared with reference values obtained by cardiac catheterization (invasive validation, 8 subjects aged 62.3 +/- 12.7 years) and a SphygmoCor device (non-invasive validation, 82 subjects aged 45.0 +/- 17.8 years). Results: In the invasive comparison, there was good agreement between the estimated and directly measured pressures: the mean error in systolic blood pressure (SBP) was 1.4 +/- 0.8 mmHg; diastolic blood pressure (DBP), 0.9 +/- 0.8 mmHg; mean blood pressure (MBP), 1.8 +/- 1.2 mmHg and pulse pressure (PP), 1.4 +/- 1.1 mmHg. In the non-invasive comparison, the estimated and directly measured pressures also agreed well: the errors being: SBP, 2.0 +/- 1.4 mmHg; DBP, 0.8 +/- 0.1 mmHg; MBP, 0.1 +/- 0.1 mmHg and PP, 2.3 +/- 1.6 mmHg. The significance of the differences in mean errors between calculated and reference values for SBP, DBP, MBP and PP were assessed by paired t -tests. The agreement between the reference methods and those obtained by applying the new approach was also expressed by correlation and Bland-Altman plots. Conclusion: The new method proposed here can accurately estimate ABP, allowing this important variable to be obtained non-invasively, using standard, well validated measurement techniques. It thus has the potential to relocate ABP estimation from a research environment to more routine use in the cardiac clinic. Short Abstract: A highly accurate algorithm for non-invasively deriving the ABP wave has been proposed elsewhere. However, it has remained at the proof-of-concept stage because it requires a priori knowledge of the ABP waveform to calculate aortic pulse wave velocity (PWV). This study aims to transform this proof-of-concept algorithm into a clinically feasible technique. We used the Bramwell-Hill equation to non-invasively calculate aortic PWV which was then used to reconstruct the ABP waveform. The ABPs estimated by the new algorithm were compared with reference values obtained by cardiac catheterization or a SphygmoCor device. The results showed that there was good agreement between the estimated and directly measured pressures. The new method proposed can accurately estimate ABP, allowing this important variable to be obtained non -invasively, using standard, well validated measurement techniques. It thus has the potential to relocate ABP estimation from a research environment to more routine use in the cardiac clinic.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Fast, Non-invasive, and Patient-specific Assessment for Ischemic Severity of Arterial Stenosis
    Yu, Huidan W.
    Khan, Monsurul
    Sawchuk, Alan
    Wang, Qiwen
    Lou, Haiyan
    Fang, Xin
    Zhang, Li
    Liang, Hui
    Dalsing, Michal C.
    Motaganahalli, Raghu L.
    ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, 2019, 39
  • [32] Non-invasive Estimation of Pressure Gradients in Pulsatile Flow using Ultrasound
    Olesen, Jacob Bjerring
    Hoyos, Carlos Armando Villagomez
    Traberg, Marie Sand
    Jensen, Jorgen Arendt
    2014 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2014, : 2257 - 2260
  • [33] Evaluation of a Non-Invasive Respiratory Volume Monitor Without Patient-Specific Calibration
    Harvey, Brian
    Mehta, Jaideep
    Brayanov, Jordan
    Florian, Agustin
    ANESTHESIA AND ANALGESIA, 2017, 124 : 61 - 62
  • [34] Clinical Implications of Non-Invasive Measurement of Central Aortic Blood Pressure
    Stepien, Mariusz
    Banach, Maciej
    Jankowski, Piotr
    Rysz, Jacek
    CURRENT VASCULAR PHARMACOLOGY, 2010, 8 (06) : 747 - 752
  • [35] Non-invasive assessment of central blood pressure by applanation tonometry. Pulse wave analysis
    Hermida Ameijeiras, Alvaro
    Lopez Paz, Jose Enrique
    Calvo Gomez, Carlos
    GALICIA CLINICA, 2012, 73 (04): : 161 - 168
  • [36] Non-invasive Estimation of Cerebrospinal Fluid Pressure Waveforms by Means of Retinal Venous Pulsatility and Central Aortic Blood Pressure
    S. Mojtaba Golzan
    Mi Ok Kim
    Amir Saied Seddighi
    Alberto Avolio
    Stuart L. Graham
    Annals of Biomedical Engineering, 2012, 40 : 1940 - 1948
  • [37] Non-invasive Estimation of Cerebrospinal Fluid Pressure Waveforms by Means of Retinal Venous Pulsatility and Central Aortic Blood Pressure
    Golzan, S. Mojtaba
    Kim, Mi Ok
    Seddighi, Amir Saied
    Avolio, Alberto
    Graham, Stuart L.
    ANNALS OF BIOMEDICAL ENGINEERING, 2012, 40 (09) : 1940 - 1948
  • [38] ESTIMATION OF CENTRAL AORTIC BLOOD PRESSURE FROM NON-INVASIVE CUFF PRESSURE OSCILLATION SIGNALS VIA SYSTEM IDENTIFICATION
    Ghasemi, Zahra
    Kim, Chang-Sei
    Ginsberg, Eric
    Duell, John
    Gupta, Anuj
    Hahn, Jin-Oh
    PROCEEDINGS OF THE ASME 9TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2016, VOL 1, 2017,
  • [39] The accuracy of central blood pressure waveform by novel mathematical transformation of non-invasive measurement
    Sueta, Daisuke
    Yamamoto, Eiichiro
    Tanaka, Tomoko
    Hirata, Yoshihiro
    Sakamoto, Kenji
    Tsujita, Kenichi
    Kojima, Sunao
    Nishiyama, Koichi
    Kaikita, Koichi
    Hokimoto, Seiji
    Jinnouchi, Hideaki
    Ogawa, Hisao
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2015, 189 : 244 - 246
  • [40] Non-Invasive Estimation of Systolic Blood Pressure and Diastolic Blood Pressure Using Photoplethysmograph Components
    Jeong, Incheol
    Jun, Sukhwan
    Um, Daeja
    Oh, Joonghwan
    Yoon, Hyungro
    YONSEI MEDICAL JOURNAL, 2010, 51 (03) : 345 - 353