Evidence map›Paper›PMID 32471540›Full record

ReviewRadiologic clinics of North America2020

Imaging Thoracic Aortic Aneurysm.

Kimberly G Kallianos, Nicholas S Burris

Open access · greenAbstract readReview
In one paragraph

Review in Radiologic clinics of North America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Huge aortic arch aneurysm presenting with subacute cough: a case report.Indian journal of thoracic and cardiovascular surgery · 2025
    Article
  4. Article
  5. Review
  6. Anesthetic Considerations for Repair of Thoracoabdominal Aortic Aneurysms.Seminars in cardiothoracic and vascular anesthesia · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

2 authors at 1 institution in 1 country.

Kimberly G KallianosDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143-0628, USA.
Nicholas S BurrisUniversity of Michigan, Frankel Cardiovascular Center, Room 5588, 1500 East Medical Center Drive, Ann Arbor, MI 48109-5868, USA. Electronic address: nburris@med.umich.edu.
University of California, San Francisco · US

Funding

Vascular Deformation Mapping (VDM) for Automated, 3D Assessment of Thoracic Aortic AneurysmR44HL145953 · NHLBI · IMBIO, LLC · PI BURRIS, NICHOLAS SCOTT, HATT, CHARLES R · 2019 to 2022
$1.5M
NHLBI NIH HHS L30 HL143671NHLBI NIH HHS R44 HL145953
6 · The paper itself

Abstract

High-quality aortic imaging plays a central role in the management of patients with thoracic aortic aneurysm. Computed tomography angiography and magnetic resonance angiography are the most commonly used techniques for thoracic aortic aneurysm diagnosis and imaging surveillance, with each having unique strengths and limitations that should be weighed when deciding patient-specific applications. To ensure optimal patient care, imagers must be familiar with potential sources of artifact and measurement error, and dedicate effort to ensure high-quality and reproducible aortic measurements are generated. This review summarizes the imaging evaluation and underlying pathology relevant to the diagnosis of thoracic aortic aneurysm.

Indexed as

Magnetic Resonance AngiographyTomography, X-Ray ComputedAortic Aneurysm, ThoracicHumansAneurysmAortaAortopathyEctasiaThoracic

Identifiers

PMID32471540
PMCPMC7269689
OpenAlexW3025858990

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.