Literature DB >> 31573404

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

Alec W Welsh1, J Brian Fowlkes1, Stephen Z Pinter1, Kimberly A Ives1, Gabe E Owens1, Jonathan M Rubin1, Oliver D Kripfgans1, Pádraig Looney1, Sally L Collins1, Gordon N Stevenson1.   

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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Year:  2019        PMID: 31573404      PMCID: PMC6800606          DOI: 10.1148/radiol.2019190248

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  23 in total

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Authors:  S L Collins; G N Stevenson; J A Noble; L Impey; A W Welsh
Journal:  Ultrasound Obstet Gynecol       Date:  2012-07       Impact factor: 7.299

2.  In vivo perfusion estimation using subharmonic contrast microbubble signals.

Authors:  Flemming Forsberg; Ji-Bin Liu; William T Shi; Raymond Ro; Kathryn J Lipcan; Xuedong Deng; Anne L Hall
Journal:  J Ultrasound Med       Date:  2006-01       Impact factor: 2.153

3.  Normalizing fractional moving blood volume estimates with power Doppler US: defining a stable intravascular point with the cumulative power distribution function.

Authors:  J M Rubin; R O Bude; J B Fowlkes; R S Spratt; P L Carson; R S Adler
Journal:  Radiology       Date:  1997-12       Impact factor: 11.105

4.  Gain setting in power Doppler US.

Authors:  C Martinoli; L E Derchi
Journal:  Radiology       Date:  1997-01       Impact factor: 11.105

5.  User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP.

Authors:  Paul A Yushkevich; Artem Pashchinskiy; Ipek Oguz; Suyash Mohan; J Eric Schmitt; Joel M Stein; Dženan Zukić; Jared Vicory; Matthew McCormick; Natalie Yushkevich; Nadav Schwartz; Yang Gao; Guido Gerig
Journal:  Neuroinformatics       Date:  2019-01

6.  Renal perfusion: noninvasive measurement with multidetector CT versus fluorescent microspheres in a pig model.

Authors:  Sandrine Lemoine; Matthieu Papillard; Amélie Belloi; Nicolas Rognant; Denis Fouque; Maurice Laville; Olivier Rouvière; Laurent Juillard
Journal:  Radiology       Date:  2011-06-14       Impact factor: 11.105

7.  An Automated Approach for Kidney Segmentation in Three-Dimensional Ultrasound Images.

Authors:  Mahdi Marsousi; Konstantinos N Plataniotis; Stergios Stergiopoulos
Journal:  IEEE J Biomed Health Inform       Date:  2016-06-13       Impact factor: 5.772

8.  Power Doppler US: a potentially useful alternative to mean frequency-based color Doppler US.

Authors:  J M Rubin; R O Bude; P L Carson; R L Bree; R S Adler
Journal:  Radiology       Date:  1994-03       Impact factor: 11.105

9.  Perfusion estimation using contrast-enhanced 3-dimensional subharmonic ultrasound imaging: an in vivo study.

Authors:  Anush Sridharan; John R Eisenbrey; Ji-Bin Liu; Priscilla Machado; Valgerdur G Halldorsdottir; Jaydev K Dave; Hongjia Zhao; Yu He; Suhyun Park; Scott Dianis; Kirk Wallace; Kai E Thomenius; Flemming Forsberg
Journal:  Invest Radiol       Date:  2013-09       Impact factor: 6.016

10.  3D fractional moving blood volume (3D-FMBV) demonstrates decreased first trimester placental vascularity in pre-eclampsia but not the term, small for gestation age baby.

Authors:  Sally L Collins; Alec W Welsh; Lawrence Impey; J Alison Noble; Gordon N Stevenson
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

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  6 in total

1.  Three-dimensional US Measurements of Blood Flow: One Step Closer to Clinical Practice.

Authors:  Flemming Forsberg
Journal:  Radiology       Date:  2020-06-30       Impact factor: 11.105

2.  Toward Rapid Noninvasive Measurement of Kidney Perfusion.

Authors:  Glen R Morrell
Journal:  Radiology       Date:  2019-10-01       Impact factor: 11.105

3.  Ultrasonographic Tissue Perfusion in Peri-implant Health and Disease.

Authors:  S Barootchi; L Tavelli; J Majzoub; H L Chan; H L Wang; O D Kripfgans
Journal:  J Dent Res       Date:  2021-09-13       Impact factor: 6.116

4.  Ultrasonographic tissue perfusion analysis at implant and palatal donor sites following soft tissue augmentation: A clinical pilot study.

Authors:  Lorenzo Tavelli; Shayan Barootchi; Jad Majzoub; Hsun-Liang Chan; William V Giannobile; Hom-Lay Wang; Oliver D Kripfgans
Journal:  J Clin Periodontol       Date:  2021-02-03       Impact factor: 8.728

5.  Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment.

Authors:  Padraig Looney; Yi Yin; Sally L Collins; Kypros H Nicolaides; Walter Plasencia; Malid Molloholli; Stavros Natsis; Gordon N Stevenson
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-05-25       Impact factor: 3.267

6.  VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology.

Authors:  Akanksha Bhargava; Benjamin Monteagudo; Priyanka Kushwaha; Janaka Senarathna; Yunke Ren; Ryan C Riddle; Manisha Aggarwal; Arvind P Pathak
Journal:  Nat Methods       Date:  2022-02-10       Impact factor: 47.990

  6 in total

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