Evidence map›Paper›PMID 29754702›Full record

ArticleUltrasound in medicine & biology2018

Evaluating Renal Transplant Status Using Viscoelastic Response (VisR) Ultrasound.

Md Murad Hossain, Mallory R Selzo, Robert M Hinson, Leslie M Baggesen, Randal K Detwiler, Wui K Chong, Lauren M Burke, Melissa C Caughey, Melrose W Fisher, Sonya B Whitehead and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 36 citations in OpenAlex.

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  14. Local Phase Velocity Based Imaging of Viscoelastic Phantoms and Tissues.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  15. Article
  16. Article
  17. Update on imaging-based diagnosis of acute renal allograft rejection.American journal of nuclear medicine and molecular imaging · 2019
    Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Md Murad HossainJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, North Carolina, USA.
Mallory R SelzoUltrasound Business Unit, Siemens Healthcare, Issaquah, Washington, USA.
Robert M HinsonDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Leslie M BaggesenKaiser Permanente, Northern California Regional Program Office, Berkeley, California, USA.
Randal K DetwilerDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Wui K ChongDepartment of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA.
Lauren M BurkeDepartment of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA.
Melissa C CaugheyDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Melrose W FisherJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, North Carolina, USA.
Sonya B WhiteheadDepartment of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA.
Caterina M GallippiJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, North Carolina, USA; Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina, USA; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, North Carolina, USA. Electronic address: cmgallip@email.unc.edu.
University of North Carolina at Chapel Hill · USNorth Carolina State University · USImaging Center · USKaiser Permanente · USSiemens Healthcare (United States) · US

Funding

Transcutaneous ARFI Ultrasound for Differentiating Carotid Plaque with High Stroke RiskR01HL092944 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2009 to 2022
$5.5M
VisR Ultrasound for Noninvasively Monitoring Renal Allograft HealthR01DK107740 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Caterina M Gallippi · 2016 to 2026
$5.2M
DP ARF Ultrasound for Monitoring Muscle Degeneration in Duchenne Muscular DystropR01NS074057 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2011 to 2015
$2.0M
Independent Scientist: ARFI and RWI Ultrasound for Improved Atherosclerosis ImagiK02HL105659 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2010 to 2014
$509k
NHLBI NIH HHS K02 HL105659NHLBI NIH HHS R01 HL092944NIDDK NIH HHS R01 DK107740NINDS NIH HHS R01 NS074057
6 · The paper itself

Abstract

Chronic kidney disease is most desirably and cost-effectively treated by renal transplantation, but graft survival is a major challenge. Although irreversible graft damage can be averted by timely treatment, intervention is delayed when early graft dysfunction goes undetected by standard clinical metrics. A more sensitive and specific parameter for delineating graft health could be the viscoelastic properties of the renal parenchyma, which are interrogated non-invasively by Viscoelastic Response (VisR) ultrasound, a new acoustic radiation force (ARF)-based imaging method. Assessing the performance of VisR imaging in delineating histologically confirmed renal transplant pathologies in vivo is the purpose of the study described here. VisR imaging was performed in patients with (n = 19) and without (n = 25) clinical indication for renal allograft biopsy. The median values of VisR outcome metrics (τ, relative elasticity [RE] and relative viscosity [RV]) were calculated in five regions of interest that were manually delineated in the parenchyma (outer, center and inner) and in the pelvis (outer and inner). The ratios of a given VisR metric for all possible region-of-interest combinations were calculated, and the corresponding ratios were statistically compared between biopsied patients subdivided by diagnostic categories versus non-biopsied, control allografts using the two-sample Wilcoxon test (p <0.05). Although τ ratios non-specifically differentiated allografts with vascular disease, tubular/interstitial scarring, chronic allograft nephropathy and glomerulonephritis from non-biopsied control allografts, RE distinguished only allografts with vascular disease and tubular/interstitial scarring, and RV distinguished only vascular disease. These results suggest that allografts with scarring and vascular disease can be identified using non-invasive VisR RE and RV metrics.

Indexed as

Kidney TransplantationAdultElasticityElasticity Imaging TechniquesFemaleHumansImage Processing, Computer-AssistedKidneyMaleMiddle AgedPostoperative ComplicationsProspective StudiesViscosityAcoustic radiation force impulseChronic kidney diseaseKidney transplantRenal rejectionUltrasoundViscoelasticityViscoelastic response (VisR)

Identifiers

PMID29754702
PMCPMC6026561
OpenAlexW2800420795

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.