Evidence map›Paper›PMID 29085569›Full record

ArticleWorld journal of gastrointestinal oncology2017

Low-dose computed tomography with 4

Davide Ippolito, Alessandra Silvia Casiraghi, Cammillo Talei Franzesi, Davide Fior, Franca Meloni, Sandro Sironi

Abstract read
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In one paragraph

Article in World journal of gastrointestinal oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Davide IppolitoDepartment of Diagnostic Radiology, "San Gerardo" Hospital, 20900 Monza, Italy.
Alessandra Silvia CasiraghiDepartment of Diagnostic Radiology, "San Gerardo" Hospital, 20900 Monza, Italy.
Cammillo Talei FranzesiDepartment of Diagnostic Radiology, "San Gerardo" Hospital, 20900 Monza, Italy.
Davide FiorDepartment of Diagnostic Radiology, "San Gerardo" Hospital, 20900 Monza, Italy.
Franca MeloniSchool of Medicine, University of Milano-Bicocca, 20900 Monza, Italy.
Sandro SironiSchool of Medicine, University of Milano-Bicocca, 20900 Monza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo compare radiation dose and image quality of low-dose computed tomography (CT) protocol combined with hybrid-iterative reconstruction algorithm with standard-dose CT examinations for follow-up of oncologic patients.

methodsFifty-one patients with known malignant diseases which underwent, during clinical follow-up, both standard-dose and low-dose whole-body CT scans were enrolled. Low-dose CT was performed on 256-row scanner, with 120 kV and automated mA modulation, and iterative reconstruction algorithm. Standard-dose CT was performed on 16-rows scanner, with 120 kV, 200-400 mAs (depending on patient weight). We evaluated density values and signal-to-noise ratio, along with image noise (SD), sharpness and diagnostic quality with 4-point scale.

resultsDensity values in liver, spleen and aorta were higher in low-dose images (liver 112.55 HU

conclusionAutomatic tube-current modulation combined with hybrid-iterative algorithm allows radiation dose reduction of 28.9% without loss of diagnostic quality, being useful in reducing dose exposure in oncologic patients.

Indexed as

Computed tomographyLow-dose computed tomographyOncologic imagingRadiation doseTube current modulation

Identifiers

PMID29085569
PMCPMC5648986

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