Evidence map›Paper›PMID 34934089›Full record

ArticleScientific reports2021

Evaluation of 2D super-resolution ultrasound imaging of the rat renal vasculature using ex vivo micro-computed tomography.

Sofie Bech Andersen, Iman Taghavi, Hans Martin Kjer, Stinne Byrholdt Søgaard, Carsten Gundlach, Vedrana Andersen Dahl, Michael Bachmann Nielsen, Anders Bjorholm Dahl, Jørgen Arendt Jensen, Charlotte Mehlin Sørensen

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

10 authors.

Sofie Bech AndersenDepartment of Biomedical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark. anne.sofie.bech.andersen@regionh.dk.
Iman TaghaviCenter for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800, Lyngby, Denmark.
Hans Martin KjerDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark.
Stinne Byrholdt SøgaardDepartment of Biomedical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
Carsten GundlachDepartment of Physics, Technical University of Denmark, 2800, Lyngby, Denmark.
Vedrana Andersen DahlDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark.
Michael Bachmann NielsenDepartment of Radiology, Rigshospitalet, 2100, Copenhagen, Denmark.
Anders Bjorholm DahlDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, 2800, Lyngby, Denmark.
Jørgen Arendt JensenCenter for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800, Lyngby, Denmark.
Charlotte Mehlin SørensenDepartment of Biomedical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution ultrasound imaging (SRUS) enables in vivo microvascular imaging of deeper-lying tissues and organs, such as the kidneys or liver. The technique allows new insights into microvascular anatomy and physiology and the development of disease-related microvascular abnormalities. However, the microvascular anatomy is intricate and challenging to depict with the currently available imaging techniques, and validation of the microvascular structures of deeper-lying organs obtained with SRUS remains difficult. Our study aimed to directly compare the vascular anatomy in two in vivo 2D SRUS images of a Sprague-Dawley rat kidney with ex vivo μCT of the same kidney. Co-registering the SRUS images to the μCT volume revealed visually very similar vascular features of vessels ranging from ~ 100 to 1300 μm in diameter and illustrated a high level of vessel branching complexity captured in the 2D SRUS images. Additionally, it was shown that it is difficult to use μCT data of a whole rat kidney specimen to validate the super-resolution capability of our ultrasound scans, i.e., validating the actual microvasculature of the rat kidney. Lastly, by comparing the two imaging modalities, fundamental challenges for 2D SRUS were demonstrated, including the complexity of projecting a 3D vessel network into 2D. These challenges should be considered when interpreting clinical or preclinical SRUS data in future studies.

Indexed as

AnimalsImaging, Three-DimensionalKidneyMaleMicrovesselsRatsRats, Sprague-DawleyUltrasonographyX-Ray Microtomography

Identifiers

PMID34934089
PMCPMC8692475

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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.