Evidence map›Paper›PMID 39745868›Full record

ReviewRadiographics : a review publication of the Radiological Society of North America, Inc2025

CT Angiography of the Upper Extremities: Review of Acute Arterial Entities.

Daniel D Friedman, Michael J Ponkowski, Anup Shashindra Shetty, Mark Jeffrey Hoegger, Malak Itani, Mohamed Z Rajput, Vincent M Mellnick, Constantine Apostolos Raptis, Benjamin E Northrup, David Ballard and 2 more

Abstract readReview
In one paragraph

Review in Radiographics : a review publication of the Radiological Society of North America, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Daniel D Friedman *From the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Michael J Ponkowski *From the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Anup Shashindra ShettyFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0003-0333-9221
Mark Jeffrey HoeggerFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0002-8214-8177
Malak ItaniFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Mohamed Z RajputFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0001-5697-7038
Vincent M MellnickFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0003-4241-890X
Constantine Apostolos RaptisFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0003-0924-2447
Benjamin E NorthrupFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.
David BallardFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0001-7470-3364
Jorge A Cabrera LebronFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Richard TsaiFrom the Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO 63110.ORCID 0000-0002-3464-3210

Funding

Training OPportunities in Translational Imaging Education and Research (TOP-TIER)T32EB021955 · NIBIB · WASHINGTON UNIVERSITY · PI Hongyu An, Joseph Edward Ippolito · 2017 to 2026
$2.4M
NIBIB NIH HHS T32 EB021955
6 · The paper itself

Abstract

Historically, evaluation of the upper extremity vasculature was performed using digital subtraction angiography. With the advancement of cross-sectional imaging and submillimeter isotropic data acquisition, CT angiography (CTA) has become an excellent noninvasive diagnostic tool for evaluation of the vasculature of the upper extremities. CTA allows quick evaluation of vessel patency and irregularity and achievement of the anatomic detail needed in preoperative planning. When interpreting CTA of the upper extremities, radiologists must be familiar with the normal vascular anatomy, common vascular anomalies, and pitfalls or artifacts that may mimic or mask abnormality. In this review, the authors provide an overview of the utility of CTA of the upper extremities. Also discussed are CTA techniques and the use of several newer technologies including dual-energy and photon-counting detector CT. The utility of CTA in patients with upper extremity trauma is explored, with a focus on assessing vascular injury. Other vascular abnormalities including infection, acute limb ischemia, and vasculitis are discussed. It is imperative for radiologists to be accustomed to CTA of the upper extremities in diagnosing acute vascular abnormalities and to recognize common pitfalls and mimics of these abnormalities.

Indexed as

Computed Tomography AngiographyUpper ExtremityAcute DiseaseArteriesHumansVascular Diseases

Identifiers

PMID39745868
PMCPMC11736060

What OpenQuestion holds

Textmetadata
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.