Evidence map›Paper›PMID 33514818›Full record

ArticleScientific reports2021

The usefulness of SwiftScan technology for bone scintigraphy using a novel anthropomorphic phantom.

Takayuki Shibutani, Masahisa Onoguchi, Yuka Naoi, Hiroto Yoneyama, Takahiro Konishi, Ringo Tatami, Kenichi Nakajima

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  9. Optimization ofJournal of applied clinical medical physics · 2022
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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

7 authors.

Takayuki ShibutaniDepartment of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
Masahisa OnoguchiDepartment of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan. onoguchi@staff.kanazawa-u.ac.jp.
Yuka NaoiClinical Imaging Center for Healthcare, Nippon Medical School, Tokyo, Japan.
Hiroto YoneyamaDepartment of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan.
Takahiro KonishiDepartment of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan.
Ringo TatamiDepartment of Radiological Technology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan.
Kenichi NakajimaDepartment of Functional Imaging and Artificial Intelligence, Kanazawa University, Kanazawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to demonstrate the usefulness of SwiftScan with a low-energy high-resolution and sensitivity (LEHRS) collimator for bone scintigraphy using a novel bone phantom simulating the human body. SwiftScan planar image of lateral view was acquired in clinical condition; thereafter, each planar image of different blend ratio (0-80%) of Crality 2D processing were created. SwiftScan planar images with reduced acquisition time by 25-75% were created by Poisson's resampling processing. SwiftScan single photon emission computed tomography (SPECT) was acquired with step-and-shoot and continuous mode, and SPECT images were reconstructed using a three-dimensional ordered subset expectation maximization incorporating attenuation, scatter and spatial resolution corrections. SwiftScan planar image showed a high contrast to noise ratio (CNR) and low percent of the coefficient of variance (%CV) compared with conventional planar image. The CNR of the tumor parts in SwiftScan SPECT was higher than that of the conventional SPECT image of step and shoot acquisition, while the %CV showed the lowest value in all systems. In conclusion, SwiftScan planar and SPECT images were able to reduce the image noise compared with planar and SPECT image with a low-energy high-resolution collimator, so that SwiftScan planar and SPECT images could be obtained a high CNR. Furthermore, the SwiftScan planar image was able to reduce the acquisition time by 25% when the blend ratio of Clarity 2D processing set to more than 40%.

Indexed as

Image Processing, Computer-AssistedRadionuclide ImagingAlgorithmsBone and BonesHumansImaging, Three-DimensionalPhantoms, ImagingTomography, Emission-Computed, Single-PhotonTomography, X-Ray Computed

Identifiers

PMID33514818
PMCPMC7846574

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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.