Evidence map›Paper›PMID 29429016›Full record

ArticleRadiological physics and technology2018

Usefulness of model-based iterative reconstruction in semi-automatic volumetry for ground-glass nodules at ultra-low-dose CT: a phantom study.

Shuki Maruyama, Yasuhiro Fukushima, Yuta Miyamae, Koji Koizumi

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Article in Radiological physics and technology, 2018. 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

4 authors.

Shuki MaruyamaDivision of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Syogoin, Sakyo-ku, Kyoto, Kyoto, 606-8507, Japan. smaruym@kuhp.kyoto-u.ac.jp.
Yasuhiro FukushimaDivision of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Syogoin, Sakyo-ku, Kyoto, Kyoto, 606-8507, Japan.
Yuta MiyamaeDepartment of Radiological Technology, Radiological Diagnosis, National Cancer Center Hospital, Tokyo, Japan.
Koji KoizumiDivision of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Syogoin, Sakyo-ku, Kyoto, Kyoto, 606-8507, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the effects of parameter presets of the forward projected model-based iterative reconstruction solution (FIRST) on the accuracy of pulmonary nodule volume measurement. A torso phantom with simulated nodules [diameter: 5, 8, 10, and 12 mm; computed tomography (CT) density: - 630 HU] was scanned with a multi-detector CT at tube currents of 10 mA (ultra-low-dose: UL-dose) and 270 mA (standard-dose: Std-dose). Images were reconstructed with filtered back projection [FBP; standard (Std-FBP), ultra-low-dose (UL-FBP)], FIRST Lung (UL-Lung), and FIRST Body (UL-Body), and analyzed with a semi-automatic software. The error in the volume measurement was determined. The errors with UL-Lung and UL-Body were smaller than that with UL-FBP. The smallest error was 5.8% ± 0.3 for the 12-mm nodule with UL-Body (middle lung). Our results indicated that FIRST Body would be superior to FIRST Lung in terms of accuracy of nodule measurement with UL-dose CT.

Indexed as

Models, TheoreticalPhantoms, ImagingRadiation DosageAlgorithmsAutomationImage Processing, Computer-AssistedLung NeoplasmsTomography, X-Ray ComputedIterative reconstructionLow-dose CTLung cancerPulmonary noduleVolumetry

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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.