Scan-rescan reproducibility of segmental aortic wall shear stress as assessed by phase-specific segmentation with 4D flow MRI in healthy volunteers

被引:32
|
作者
van der Palen, Roel L. F. [1 ]
Roest, Arno A. W. [1 ]
van den Boogaard, Pieter J. [2 ]
de Roos, Albert [2 ]
Blom, Nico A. [1 ]
Westenberg, Jos J. M. [2 ]
机构
[1] Leiden Univ, Div Pediat Cardiol, Dept Pediat, Med Ctr, Albinusdreef 2, NL-2333 ZA Leiden, Netherlands
[2] Leiden Univ, Dept Radiol, Med Ctr, Albinusdreef 2, NL-2333 ZA Leiden, Netherlands
关键词
4D flow MRI; Wall shear stress; Aorta; Aortopathy; BLOOD-FLOW; VALVE; QUANTIFICATION;
D O I
10.1007/s10334-018-0688-6
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: The aim was to investigate scan-rescan reproducibility and observer variability of segmental aortic 3D systolic wall shear stress (WSS) by phase-specific segmentation with 4D flow MRI in healthy volunteers. Materials and methods: Ten healthy volunteers (age 26.5 +/- 2.6years) underwent aortic 4D flow MRI twice. Maximum 3D systolic WSS (WSSmax) and mean 3D systolic WSS (WSSmean) for five thoracic aortic segments over five systolic cardiac phases by phase-specific segmentations were calculated. Scan-rescan analysis and observer reproducibility analysis were performed. Results: San-rescan data showed overall good reproducibility for WSSmean (coefficient of variation, COV 10-15%) with moderate-to-strong intraclass correlation coefficient (ICC 0.63-0.89). The variability in WSSmax was high (COV 16-31%) with moderate-to-good ICC (0.55-0.79) for different aortic segments. Intra- and interobserver reproducibility was good-to-excellent for regional aortic WSSmax (ICC >= 0.78; COV <= 17%) and strong-to-excellent for WSSmean (ICC >= 0.86; COV <= 11%). In general, ascending aortic segments showed more WSSmax/WSSmean variability compared to aortic arch or descending aortic segments for scan-rescan, intraobserver and interobserver comparison. Conclusions: Scan-rescan reproducibility was good for WSSmean and moderate for WSSmax for all thoracic aortic segments over multiple systolic phases in healthy volunteers. Intra/interobserver reproducibility for segmental WSS assessment was good-to-excellent. Variability of WSSmax is higher and should be taken into account in case of individual follow-up or in comparative rest-stress studies to avoid misinterpretation.
引用
收藏
页码:653 / 663
页数:11
相关论文
共 50 条
  • [1] Scan–rescan reproducibility of segmental aortic wall shear stress as assessed by phase-specific segmentation with 4D flow MRI in healthy volunteers
    Roel L. F. van der Palen
    Arno A. W. Roest
    Pieter J. van den Boogaard
    Albert de Roos
    Nico A. Blom
    Jos J. M. Westenberg
    Magnetic Resonance Materials in Physics, Biology and Medicine, 2018, 31 : 653 - 663
  • [2] Reproducibility of Aorta Segmentation on 4D Flow MRI in Healthy Volunteers
    Juffermans, Joe F.
    Westenberg, Jos J. M.
    van den Boogaard, Pieter J.
    Roest, Arno A. W.
    van Assen, Hans C.
    van der Palen, Roel L. F.
    Lamb, Hildo J.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2021, 53 (04) : 1268 - 1279
  • [3] Editorial for "Reproducibility of Aorta Segmentation on 4D Flow MRI in Healthy Volunteers"
    Wentland, Andrew L.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2021, 53 (04) : 1280 - 1281
  • [4] Evaluating a Phase-Specific Approach to Aortic Flow: A 4D Flow MRI Study
    Ramaekers, Mitch J. F. G.
    Westenberg, Jos J. M.
    Venner, Max F. G. H. M.
    Juffermans, Joe F.
    van Assen, Hans C.
    te Kiefte, Bastiaan J. C.
    Adriaans, Bouke P.
    Lamb, Hildo J.
    Wildberger, Joachim E.
    Schalla, Simon
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 59 (03) : 1056 - 1067
  • [5] Scan-rescan reproducibility of diastolic left ventricular kinetic energy, viscous energy loss and vorticity assessment using 4D flow MRI: analysis in healthy subjects
    Kamphuis, Vivian P.
    Westenberg, J. M.
    van der Palen, Roel L. F.
    van den Boogaard, Pieter J.
    van der Geest, Rob J.
    de Roos, Albert
    Blom, Nico A.
    Roest, Arno A. W.
    Elbaz, Mohammed S. M.
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2018, 34 (06): : 905 - 920
  • [6] Editorial for "Evaluating a Phase-Specific Approach to Aortic Flow: A 4D Flow MRI Study"
    Cebull, Hannah L.
    Oshinski, John N.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 59 (03) : 1068 - 1069
  • [7] Multiyear Interval Changes in Aortic Wall Shear Stress in Patients with Bicuspid Aortic Valve Assessed by 4D Flow MRI
    Maroun, Anthony
    Scott, Michael B.
    Catania, Roberta
    Berhane, Haben
    Jarvis, Kelly
    Allen, Bradley D.
    Barker, Alex J.
    Markl, Michael
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (06) : 2580 - 2589
  • [8] In-Scan and Scan-Rescan Assessment of LV In- and Outflow Volumes by 4D Flow MRI Versus 2D Planimetry
    Kamphuis, Vivian P.
    van der Palen, Roel L. F.
    de Koning, Patrick J. H.
    Elbaz, Mohammed S. M.
    van der Geest, Rob J.
    de Roos, Albert
    Roest, Arno A. W.
    Westenberg, Jos J. M.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 47 (02) : 511 - 522
  • [9] Editorial for "Multiyear Interval Changes in Aortic Wall Shear Stress in Patients With Bicuspid Aortic Valve Assessed by 4D Flow MRI"
    Guala, Andrea
    Ferrer-Cornet, Marta
    Dux-Santoy, Lydia
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (06) : 2590 - 2591
  • [10] WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI
    Ferdian, Edward
    Dubowitz, David J.
    Mauger, Charlene A.
    Wang, Alan
    Young, Alistair A.
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 8