Evidence map›Paper›PMID 36128360›Full record

ArticleJournal of clinical imaging science2022

Optimizing low contrast volume thoracic CT angiography: From the basics to the advanced.

Katherine Kaproth-Joslin, Susan Hobbs, Prabhakar Rajiah, Apeksha Chaturvedi, Abhishek Chaturvedi

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical imaging science, 2022. 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
0.7field-weighted citation impact, top 37% 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, 9 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Katherine Kaproth-JoslinDepartment of Imaging Sciences, University of Rochester, Rochester, New York, United States.
Susan HobbsDepartment of Imaging Sciences, University of Rochester, Rochester, New York, United States.
Prabhakar RajiahDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States.
Apeksha ChaturvediDepartment of Imaging Sciences, University of Rochester, Rochester, New York, United States.
Abhishek ChaturvediDepartment of Imaging Sciences, University of Rochester, Rochester, New York, United States.
University of Rochester · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast-enhanced CT angiography (CTA) is a widely used, noninvasive imaging technique for evaluating cardiovascular structures. Contrast-induced nephrotoxicity is a concern in renal disease; however, the true nephrotoxic potential of iodinated contrast media (CM) is unknown. If a renal impaired patient requires CTA, it is important to protect the kidneys from further harm by reducing total iodinated CM volume while still obtaining diagnostic quality imaging. These same reduced volume CM techniques can also be applied to nonrenal impaired patients in times of CM shortage. This educational review discusses several modifications to CTA that can be adapted to both conventional 64-slice and the newer generation CT scanners which enable subsecond acquisition with a reduced CM volume technique. Such modifications include hardware and software adjustments and changes to both the volume and flow rate of administered CM, with the goal to reduce the dose of CM without compromising diagnostic yield.

Indexed as

Bolus trackingComputed tomography angiographyContrast mediaReduced volumeTest bolus

Identifiers

PMID36128360
PMCPMC9479554
OpenAlexW4288709726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.