Evidence map›Paper›PMID 35145319›Full record

ArticleNature methods2022

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

Akanksha Bhargava, Benjamin Monteagudo, Priyanka Kushwaha, Janaka Senarathna, Yunke Ren, Ryan C Riddle, Manisha Aggarwal, Arvind P Pathak

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Akanksha BhargavaRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Benjamin MonteagudoBiomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Priyanka KushwahaDepartments of Orthopedic Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Janaka SenarathnaRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yunke RenBiomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ryan C RiddleDepartments of Orthopedic Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-7265-6939
Manisha AggarwalRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Arvind P PathakRussell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. pathak@mri.jhu.edu.ORCID http://orcid.org/0000-0002-2068-9445
Johns Hopkins University · USUnited States Department of Veterans Affairs · US

Funding

Multiscale Image-based Modeling of Antiangiogenic Resistance in Breast CancerR01CA196701 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2015 to 2026
$3.6M
Next-Gen Oncosurveillance: Wireless Multi-Function Microscopy of In Vivo Brain Cancer DynamicsR01CA237597 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2020 to 2026
$2.6M
Oxygen-eluting scaffolds for cranial bone regenerationR01DE027957 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI GRAYSON, WARREN L, PATHAK, ARVIND P · 2019 to 2023
$2.4M
Acquisition of a Nano Computed Tomography Instrument for shared Cornell Imaging fS10OD012287 · OD · CORNELL UNIVERSITY · PI HERNANDEZ, CHRISTOPHER JOHN · 2013 to 2013
$755k
NCI NIH HHS R01 CA196701NCI NIH HHS R01 CA237597NIDCR NIH HHS R01 DE027957NIH HHS S10 OD012287
6 · The paper itself

Abstract

Despite advances in imaging, image-based vascular systems biology has remained challenging because blood vessel data are often available only from a single modality or at a given spatial scale, and cross-modality data are difficult to integrate. Therefore, there is an exigent need for a multimodality pipeline that enables ex vivo vascular imaging with magnetic resonance imaging, computed tomography and optical microscopy of the same sample, while permitting imaging with complementary contrast mechanisms from the whole-organ to endothelial cell spatial scales. To achieve this, we developed 'VascuViz'-an easy-to-use method for simultaneous three-dimensional imaging and visualization of the vascular microenvironment using magnetic resonance imaging, computed tomography and optical microscopy in the same intact, unsectioned tissue. The VascuViz workflow permits multimodal imaging with a single labeling step using commercial reagents and is compatible with diverse tissue types and protocols. VascuViz's interdisciplinary utility in conjunction with new data visualization approaches opens up new vistas in image-based vascular systems biology.

Indexed as

AnimalsBrainCerebrovascular CirculationContrast MediaData VisualizationFemaleHemodynamicsHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiceMice, Inbred StrainsMultimodal ImagingSystems BiologyTomography, X-Ray ComputedContrast Media

Identifiers

PMID35145319
PMCPMC8842955
OpenAlexW4211111396

What OpenQuestion holds

Textmetadata
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.