Evidence map›Paper›PMID 31214728›Full record

ReviewAbdominal radiology (New York)2019

What a difference a delay makes! CT urogram: a pictorial essay.

Abraham Noorbakhsh, Lejla Aganovic, Noushin Vahdat, Soudabeh Fazeli, Romy Chung, Fiona Cassidy

Abstract readReview
In one paragraph

Review in Abdominal radiology (New York), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Urologic oncologic emergencies: a radiologist's guide.Abdominal radiology (New York) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
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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

6 authors.

Abraham NoorbakhshDepartment of Radiology, University of California, San Diego Health, San Diego, USA.ORCID 0000-0002-4487-0724
Lejla AganovicDepartment of Radiology, University of California, San Diego Health, San Diego, USA.
Noushin VahdatDepartment of Radiology, University of California, San Diego Health, San Diego, USA.
Soudabeh FazeliDepartment of Radiology, University of California, San Diego Health, San Diego, USA.
Romy ChungDepartment of Radiology, University of California, San Diego Health, San Diego, USA.
Fiona CassidyDepartment of Radiology, University of California, San Diego Health, San Diego, USA. fcassidyhughes@yahoo.com.

Funding

Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
NIBIB NIH HHS T32 EB005970
6 · The paper itself

Abstract

purposeThe aim of this pictorial essay is to demonstrate several cases where the diagnosis would have been difficult or impossible without the excretory phase image of CT urography.

methodsA brief discussion of CT urography technique and dose reduction is followed by several cases illustrating the utility of CT urography.

resultsCT urography has become the primary imaging modality for evaluation of hematuria, as well as in the staging and surveillance of urinary tract malignancies. CT urography includes a non-contrast phase and contrast-enhanced nephrographic and excretory (delayed) phases. While the three phases add to the diagnostic ability of CT urography, it also adds potential patient radiation dose. Several techniques including automatic exposure control, iterative reconstruction algorithms, higher noise tolerance, and split-bolus have been successfully used to mitigate dose. The excretory phase is timed such that the excreted contrast opacifies the urinary collecting system and allows for greater detection of filling defects or other abnormalities. Sixteen cases illustrating the utility of excretory phase imaging are reviewed.

conclusionsExcretory phase imaging of CT urography can be an essential tool for detecting and appropriately characterizing urinary tract malignancies, renal papillary and medullary abnormalities, CT radiolucent stones, congenital abnormalities, certain chronic inflammatory conditions, and perinephric collections.

Indexed as

AlgorithmsContrast MediaDiagnosis, DifferentialHumansRadiation DosageRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedUrographyUrologic DiseasesContrast MediaCT urographyLow-dose techniquesPictorial essay

Identifiers

PMID31214728
PMCPMC8882435

What OpenQuestion holds

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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.