Cited by 31Renal and Vascular PathologiesMedical Image Segmentation TechniquesUltrasound Imaging and Elastography

Three-dimensional US Fractional Moving Blood Volume: Validation of Renal Perfusion Quantification

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Welsh, Alec W., Fowlkes, J. Brian, Pinter, Stephen Z., Ives, Kimberly A., Owens, Gabe E., Rubin, Jonathan M., Kripfgans, Oliver D., Looney, Pádraig +2 more·2019·Radiology

Abstract

Background Three-dimensional (3D) fractional moving blood volume (FMBV) derived from 3D power Doppler US has been proposed for noninvasive approximation of perfusion. However, 3D FMBV has never been applied in animals against a ground truth. Purpose To determine the correlation between 3D FMBV and the reference standard of fluorescent microspheres (FMS) for measurement of renal perfusion in a porcine model. Materials and Methods From February 2017 to September 2017, adult pigs were administered FMS before and after measurement of renal 3D FMBV at baseline (100%) and approximately 75%, 50%, and 25% flow levels by using US machines from two different vendors. The 3D power Doppler US volumes were converted and segmented, and correlations between FMS and 3D FMBV were made with simple linear regression (r2). Similarity and reproducibility of manual segmentation were determined with the Dice similarity coefficient and 3D FMBV reproducibility (intraclass correlation coefficient [ICC]). Results Thirteen pigs were studied with 33 flow measurements. Kidney volume (mean Dice similarity coefficient ± standard deviation, 0.89 ± 0.01) and renal segmentation (coefficient of variation = 12.6%; ICC = 0.86) were consistent. The 3D FMBV calculations had high reproducibility (ICC = 0.97; 95% confidence interval: 0.96, 0.98). The 3D FMBV per-pig correlation showed excellent correlation for US machines from both vendors (mean r2 = 0.96 [range, 0.92–1.0] and 0.93 [range, 0.78–1.0], respectively). The correlation between 3D FMBV and perfusion measured with microspheres was high for both US machines (r2 = 0.80 [P < .001] and 0.70 [P < .001], respectively). Conclusion The strong correlation between three-dimensional (3D) fractional moving blood volume (FMBV) and fluorescent microspheres indicates that 3D FMBV shows excellent correlation to perfusion and good reproducibility. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Morrell et al in this issue.

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  1. [11]Cox RW, Ashburner J, Breman H, Fissell K, Haselgrove C, Holmes CJ, Lancaster JL, Rex DE, Smith SM, Woodward JB. A (Sort of) new image data format standard: NIfTI-1: WE 150. Neuroimage 2004; 22: e1440.
  2. [14]Stevenson GN, Collins SL, Welsh AW, Impey LW, Noble JA. A Technique for the Estimation of Fractional Moving Blood Volume by Using Three-dimensional Power Doppler US. Radiology 2015; 274: 230– 237. doi: 10.1148/radiol.14132363 25117590 · DOI · Paper page
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Authors
Welsh, A. W., Fowlkes, J. B., Pinter, S. Z., Ives, K. A., Owens, G. E., Rubin, J. M., Kripfgans, O. D., Looney, P., Collins, S. L., & Stevenson, G. N.
Affiliations
University of Michigan (US)
Corresponding author
Stevenson, Gordon N.
Venue
Radiology
Published
2019-11
Volume
293
Issue
2
Pages
460-468
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2979227121
Cited by
31
References
28
Citations by year
2026: 4 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 2 · 2021: 8 · 2020: 3 · 2019: 1
FWCI
2.57
Type
journal article
Language
en
Open access
Locations
  • Radiology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
Funders
University of New South Wales
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Renal and Vascular Pathologies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
Keywords
fractional moving blood volume, 3D power Doppler ultrasound, renal perfusion, fluorescent microspheres, porcine model, perfusion quantification, reproducibility, kidney segmentation, ground truth validation
MeSH terms
Animals, Blood Flow Velocity, Blood Volume, Fluorescence, Kidney, Microspheres, Swine, Reproducibility of Results, Ultrasonography, Doppler, Imaging, Three-Dimensional, Models, Animal

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