Evidence map›Paper›PMID 35178781›Full record

ArticleMedical physics2022

Design and evaluation of a modular multimodality imaging phantom to simulate heterogeneous uptake and enhancement patterns for radiomic quantification in hybrid imaging: A feasibility study.

Gijsbert M Kalisvaart, Floris H P van Velden, Irene Hernández-Girón, Karin M Meijer, Laura M H Ghesquiere-Dierickx, Wyger M Brink, Andrew Webb, Lioe-Fee de Geus-Oei, Cornelis H Slump, Dimitri V Kuznetsov and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Gijsbert M KalisvaartDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Floris H P van VeldenDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Irene Hernández-GirónDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Karin M MeijerDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Laura M H Ghesquiere-DierickxDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Wyger M BrinkDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Andrew WebbDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Lioe-Fee de Geus-OeiDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Cornelis H SlumpRobotics and Mechatronics, University of Twente, Enschede, The Netherlands.
Dimitri V KuznetsovElectronic and Mechanical Support Division, Delft University of Technology, Delft, The Netherlands.
Dennis R SchaartRadiation Science and Technology, Delft University of Technology, Delft, The Netherlands.
Willem GrootjansDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLDelft University of Technology · NLHeidelberg University · DEUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccuracy and precision assessment in radiomic features is important for the determination of their potential to characterize cancer lesions. In this regard, simulation of different imaging conditions using specialized phantoms is increasingly being investigated. In this study, the design and evaluation of a modular multimodality imaging phantom to simulate heterogeneous uptake and enhancement patterns for radiomics quantification in hybrid imaging is presented.

methodsA modular multimodality imaging phantom was constructed that could simulate different patterns of heterogeneous uptake and enhancement patterns in positron emission tomography (PET), single-photon emission computed tomography (SPECT), computed tomography (CT), and magnetic resonance (MR) imaging. The phantom was designed to be used as an insert in the standard NEMA-NU2 IEC body phantom casing. The entire phantom insert is composed of three segments, each containing three separately fillable compartments. The fillable compartments between segments had different sizes in order to simulate heterogeneous patterns at different spatial scales. The compartments were separately filled with different ratios of

resultsHeterogeneous uptake and enhancement could be simulated on all four imaging modalities. Radiomic features in SPECT were significantly less stable than in all other modalities. Features in PET were significantly less stable than in MR and CT. A total of 20 features, particularly in the gray-level co-occurrence matrix (GLCM) and gray-level run-length matrix (GLRLM) class, were found to be relatively stable in all four modalities for all three spatial scales of heterogeneous patterns (with CQV < 10%).

conclusionThe phantom was suitable for simulating heterogeneous uptake and enhancement patterns in [

Indexed as

Fluorodeoxyglucose F18Image Processing, Computer-AssistedFeasibility StudiesMultimodal ImagingPhantoms, ImagingPositron-Emission TomographyFluorodeoxyglucose F183D printinghybrid imagingmultimodality imagingphantom studiesradiomicsrepeatability

Identifiers

PMID35178781
PMCPMC9314050
OpenAlexW4212930421

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.