Literature DB >> 15122055

A new method of color Doppler perfusion measurement via dynamic sonographic signal quantification in renal parenchyma.

Thomas Scholbach1, Ingo Dimos, Jakob Scholbach.   

Abstract

OBJECTIVE: Perfusion quantification of tissues is an important goal to evaluate the state of blood supply of an organ. We developed a method to quantify tissue perfusion via color Doppler signal quantification from sonographic videos and applied this to describe renal parenchymal perfusion in healthy kidneys.
METHOD: Color Doppler sonographic videos of renal perfusion from both kidneys of 87 healthy children (age 2 weeks to 16 years) were recorded under defined conditions. Perfusion data (color hue, color area) were measured in a standardized region of interest automatically. Signal intensity was calculated as whole ROIs (regions of interest) mean flow velocity (cm/s) encoded by color Doppler signals during one full heart cycle.
RESULTS: Normal signal intensity values are: 1.86 cm/s in the region encompassing central 50% of the renal cortex and 0.56 cm/s in the peripheral 50% of the renal cortex. These differences are significant. Signal intensity of both kidneys did not differ.
CONCLUSION: Signal intensity of cortical tissue in healthy kidneys was quantified noninvasively from color Doppler signal data in an easily accomplishable manner with new measurement software. Normal values for this technique have been calculated. Possible further applications might be all situations, where perfusion changes could be expected like inflammation, renal insufficiency, vascular diseases and tumors. Copyright 2004 S. Karger AG, Basel

Entities:  

Mesh:

Year:  2004        PMID: 15122055     DOI: 10.1159/000077380

Source DB:  PubMed          Journal:  Nephron Physiol        ISSN: 1660-2137


  13 in total

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3.  Quantitative analysis of renal blood flow during thoracic endovascular aortic repair in type B aortic dissection using syngo iFlow.

Authors:  Kun Fang; Jiawei Zhao; Mingyao Luo; Yunfei Xue; Hui Wang; Luming Ye; Xuelan Zhang; Liancun Zheng; Chang Shu
Journal:  Quant Imaging Med Surg       Date:  2021-08

4.  Renal perfusion index reflects cardiac systolic function in chronic cardio-renal syndrome.

Authors:  Arkadiusz Lubas; Robert Ryczek; Grzegorz Kade; Stanisław Niemczyk
Journal:  Med Sci Monit       Date:  2015-04-17

5.  Impact of cardiovascular organ damage on cortical renal perfusion in patients with chronic renal failure.

Authors:  Arkadiusz Lubas; Robert Ryczek; Grzegorz Kade; Jerzy Smoszna; Stanisław Niemczyk
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6.  Vascularity of the urethra in continent women using colour doppler high-frequency endovaginal ultrasonography.

Authors:  Farah Lone; Abdul H Sultan; Aleksandra Stankiewicz; Ranee Thakar; Andrzej Pawel Wieczorek
Journal:  Springerplus       Date:  2014-10-20

7.  Color-Doppler sonographic tissue perfusion measurements reveal significantly diminished renal cortical perfusion in kidneys with vesicoureteral reflux.

Authors:  T M Scholbach; C Sachse
Journal:  Indian J Nephrol       Date:  2016 Mar-Apr

8.  Color Doppler dynamic tissue perfusion measurement: a novel tool in the assessment of renal parenchymal perfusion in children with vesicoureteral reflux.

Authors:  Magdalena M Woźniak; Thomas M Scholbach; Jakob Scholbach; Agata Pawelec; Paweł Nachulewicz; Andrzej P Wieczorek; Agnieszka Brodzisz; Maria M Zajączkowska; Halina Borzęcka
Journal:  Arch Med Sci       Date:  2015-05-29       Impact factor: 3.318

9.  Correlation of histopathologic and dynamic tissue perfusion measurement findings in transplanted kidneys.

Authors:  Thomas Scholbach; Hsin-Kai Wang; An-Hang Yang; Che-Chuan Loong; Tsai-Hong Wu
Journal:  BMC Nephrol       Date:  2013-07-11       Impact factor: 2.388

10.  Ultrasonic evaluation of renal cortex arterial area enables differentiation between hypertensive and glomerulonephritis-related chronic kidney disease.

Authors:  Arkadiusz Lubas; Grzegorz Kade; Robert Ryczek; Piotr Banasiak; Przemysław Dyrla; Katarzyna Szamotulska; Daniel Schneditz; Stanisław Niemczyk
Journal:  Int Urol Nephrol       Date:  2017-06-01       Impact factor: 2.370

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