Evidence map›Paper›PMID 24136773›Full record

ArticleEinstein (Sao Paulo, Brazil)

Coronary computed tomography angiography with 320-row detector and using the AIDR-3D: initial experience.

Roberto Sasdelli Neto, Cesar Higa Nomura, Ana Carolina Sandoval Macedo, Danilo Perussi Bianco, Fernando Uliana Kay, Gilberto Szarf, Gustavo Borges da Silva Teles, Hamilton Shoji, Pedro Vieira Santana Netto, Rodrigo Bastos Duarte Passos and 7 more

Open access · diamondAbstract read
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Article in Einstein (Sao Paulo, Brazil). 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
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
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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

17 authors at 2 institutions in 1 country.

Roberto Sasdelli Neto
Cesar Higa Nomura
Ana Carolina Sandoval Macedo
Danilo Perussi Bianco
Fernando Uliana Kay
Gilberto Szarf
Gustavo Borges da Silva Teles
Hamilton Shoji
Pedro Vieira Santana Netto
Rodrigo Bastos Duarte Passos
Rodrigo Caruso Chate
Walther Yoshiharu Ishikawa
João Paulo Bacellar Costa Lima
Marcelo Assis Rocha
Vinícius Neves Marcos
Bruna Bonaventura Failla
Marcelo Buarque de Gusmão Funari
Hospital Israelita Albert Einstein · BRUniversidade Metodista de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary computed tomography angiography (coronary CTA) is a powerful non-invasive imaging method to evaluate coronary artery disease. Nowadays, coronary CTA estimated effective radiation dose can be dramatically reduced using state-of-the-art scanners, such as 320-row detector CT (320-CT), without changing coronary CTA diagnostic accuracy. To optimize and further reduce the radiation dose, new iterative reconstruction algorithms were released recently by several CT manufacturers, and now they are used routinely in coronary CTA. This paper presents our first experience using coronary CTA with 320-CT and the Adaptive Iterative Dose Reduction 3D (AIDR-3D). In addition, we describe the current indications for coronary CTA in our practice as well as the acquisition standard protocols and protocols related to CT application for radiation dose reduction. In conclusion, coronary CTA radiation dose can be dramatically reduced following the "as low as reasonable achievable" principle by combination of exam indication and well-documented technics for radiation dose reduction, such as beta blockers, low-kV, and also the newest iterative dose reduction software as AIDR-3D.

Indexed as

Coronary AngiographyCoronary Artery DiseaseHumansMultidetector Computed TomographyRadiation DosageRadiographic Image Interpretation, Computer-Assisted

Identifiers

PMID24136773
PMCPMC4878605
OpenAlexW2059294118

What OpenQuestion holds

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Registered trials

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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.