Evidence map›Paper›PMID 31202678›Full record

ArticleJournal of vascular and interventional radiology : JVIR2019

Angiographic Atlas of the Visceral Vascular Anatomy in Translational Rat Models.

Donghua Shi, Ryan M Kiefer, Hideyuki Nishiofuku, Andrea Cortes, Gregory J Nadolski, Stephen J Hunt, Rony Avritscher, Terence P F Gade

Open access · greenAbstract read
In one paragraph

Article in Journal of vascular and interventional radiology : JVIR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 5 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 3 institutions in 2 countries.

Donghua ShiPenn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Ryan M KieferPenn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Hideyuki NishiofukuDepartment of Radiology and IVR Center, Nara Medical University, Kashihara-city, Nara, Japan.
Andrea CortesDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gregory J NadolskiPenn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Stephen J HuntPenn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Rony AvritscherDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Terence P F GadePenn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: terence.gade@uphs.upenn.edu.
Hospital of the University of Pennsylvania · USThe University of Texas MD Anderson Cancer Center · USNara Medical University · JP

Funding

Image-Based Phenotyping of Hepatocellular Carcinoma Cell Survival Under Ischemic Stress: Toward Metabolic Imaging of Cancer Dormancy Using Hyperpolarized Carbon-13 TechnologyDP5OD021391 · OD · UNIVERSITY OF PENNSYLVANIA · PI GADE, TERENCE P · 2015 to 2019
$2.0M
NIH HHS DP5 OD021391
6 · The paper itself

Abstract

purposeTo characterize angiographic and cross-sectional imaging anatomy of the rat visceral vasculature in 2 translational models. MATERIALS AND

methodsAnimal studies were conducted in accordance with institutional guidelines and approval of the Institutional Animal Care and Use Committees. Retrospective review of digital subtraction arteriography was performed in 65 Wistar and 50 Sprague-Dawley male rats through a left common carotid artery or right common femoral artery approach. MR imaging of the abdomen was performed on the rats to correlate imaging modalities.

resultsAortography was performed in 3 locations, including cranial to the celiac artery, cranial to the renal arteries, and cranial to the caudal (inferior) mesenteric artery, enabling characterization of the visceral branch arteries in all 65 Wistar rats. Selective arteriography of first-, second-, and third-order branch vessels of the aorta was performed allowing characterization of normal and variant anatomy. Dedicated selective arteriography was performed of the celiac artery in 65 Wistar and 10 Sprague-Dawley rats, of the common hepatic artery in 65 Wistar and 50 Sprague-Dawley rats, and of the cranial mesenteric artery in 43 Wistar rats. MR imaging enabled correlation with the lobar and portal venous anatomy.

conclusionsAnalysis of arteriography and MR imaging in these rat models will provide translational researchers with anatomic details needed to develop new endovascular protocols for small animal research in interventional radiology.

Indexed as

Angiography, Digital SubtractionAortographyTranslational Research, BiomedicalAnimalsAortaCeliac ArteryMagnetic Resonance AngiographyMaleModels, AnimalPortal VeinPredictive Value of TestsRats, Sprague-DawleyRats, WistarRetrospective StudiesViscera

Identifiers

PMID31202678
PMCPMC7193740
OpenAlexW2949756322

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.