Evidence map›Paper›PMID 27122742›Full record

ArticleActa Cardiologica Sinica2013

Image Quality of 256-Slice Computed Tomography for Coronary Angiography.

Shu-Ping Chao, Jyh-Gang Leu, Wai-Yip Law, Chu-Jen Kuo, Kou-Gi Shyu

Abstract read
In one paragraph

Article in Acta Cardiologica Sinica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 82% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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 2 countries.

Shu-Ping ChaoDivision of Cardiology;
Jyh-Gang LeuDivision of Nephrology;
Wai-Yip LawDepartment of Diagnostic Radiology, Shin Kong Wu Ho-Su Memorial Hospital;
Chu-Jen KuoDepartment of Diagnostic Radiology, Shin Kong Wu Ho-Su Memorial Hospital;
Kou-Gi ShyuDivision of Cardiology; ; Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan.
Memorial Hospital · USInstitute of Cardiology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the image quality of 256-slice computed tomographic angiography (CTA) and to identify possible impact factors associated with image quality.

methodsFrom November 2009 to January 2010, 506 patients underwent 256-slice CTA at our institute. A total of 451 patients were enrolled in our study, after 55 patients were excluded because of prior bypass surgery and stenting. CTA image quality was graded by two observers using a 4-point scale: excellent (score 1), good (score 2), moderate (score 3), poor and non-diagnostic (score 4). The coronary arteries were divided into 15 segments. Image quality was correlated to the subjects' age, gender, body mass index, heart rate, and calcium scores.

resultsWe evaluated 6650 coronary segments from CTA images of our enrolled 451 patients. The mean image quality score of all coronary segments was 1.14. Most coronary segments (99.7%) were assessable, and only 21 segments (0.3%) were non-diagnostic. A total of 5824 coronary segments were classified as having excellent image quality. Forty-two patients (9.3%) required control of heart rate with beta-blockers before CTA could be performed. Male patients had better image quality than female patients. Heart rate and severity of calcification were impact factors associated with image quality.

conclusionsExamination with 256-slice CTA provides good image quality and can effectively evaluate most coronary segments. KEY WORDS: Coronary angiography; Heart rate; Image quality; Multi-slice computed tomography.

Identifiers

PMID27122742
PMCPMC4804794
OpenAlexW2172201896

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.