Evidence map›Paper›PMID 31258933›Full record

ArticleActa radiologica open2019

Iterative CT reconstruction in abdominal low-dose CT used for hybrid SPECT-CT applications: effect on image quality, image noise, detectability, and reader's confidence.

Oliver S Grosser, Juri Ruf, Dennis Kupitz, Damian Czuczwara, David Loewenthal, Markus Thormann, Christian Furth, Jens Ricke, Timm Denecke, Maciej Pech and 2 more

Abstract read
In one paragraph

Article in Acta radiologica open, 2019. 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
–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

5 citing papers in PubMed.

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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

12 authors.

Oliver S GrosserDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.ORCID https://orcid.org/0000-0002-0826-0734
Juri RufDepartment of Nuclear Medicine, Medical Centre, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Dennis KupitzDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Damian CzuczwaraDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
David LoewenthalDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Markus ThormannDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Christian FurthDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Jens RickeDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Timm DeneckeCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Radiology, Berlin, Germany.
Maciej PechDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Michael C KreisslDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
Holger AmthauerDepartment of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIterative computed tomography (CT) image reconstruction shows high potential for the preservation of image quality in diagnostic CT while reducing patients' exposure; it has become available for low-dose CT (LD-CT) in high-end hybrid imaging systems (e.g. single-photon emission computed tomography [SPECT]-CT). PURPOSE: To examine the effect of an iterative CT reconstruction algorithm on image quality, image noise, detectability, and the reader's confidence for LD-CT data by a subjective assessment. MATERIAL AND

methodsThe LD-CT data were validated for 40 patients examined by an abdominal hybrid SPECT-CT (U = 120 kV, I = 40 mA, pitch = 1.375). LD-CT was reconstructed using either filtered back projection (FBP) or an iterative image reconstruction algorithm (Adaptive Statistical Iterative Reconstruction [ASIR]®) with different parameters (ASIR levels 50% and 100%). The data were validated by two independent blinded readers using a scoring system for image quality, image noise, detectability, and reader confidence, for a predefined set of 16 anatomic substructures.

resultsThe image quality was significantly improved by iterative reconstruction of the LD-CT data compared with FBP (

conclusionAn ASIR level of 50% represents a good compromise in abdominal LD-CT image reconstruction. The specific ASIR level improved image quality (reduced image noise) and reader confidence, while preserving detectability of bone structure.

Indexed as

computed tomographyimage reconstructionmultimodal imagingSingle-photon emission computed tomographySPECT CTX-ray

Identifiers

PMID31258933
PMCPMC6587393

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