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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

Background Accuracy 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...

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Published in:Medical physics (Lancaster) 2022-05, Vol.49 (5), p.3093-3106
Main Authors: Kalisvaart, Gijsbert M., Velden, Floris H.P., Hernández‐Girón, Irene, Meijer, Karin M., Ghesquiere‐Dierickx, Laura M.H., Brink, Wyger M., Webb, Andrew, Geus‐Oei, Lioe‐Fee, Slump, Cornelis H., Kuznetsov, Dimitri V., Schaart, Dennis R., Grootjans, Willem
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container_issue 5
container_start_page 3093
container_title Medical physics (Lancaster)
container_volume 49
creator Kalisvaart, Gijsbert M.
Velden, Floris H.P.
Hernández‐Girón, Irene
Meijer, Karin M.
Ghesquiere‐Dierickx, Laura M.H.
Brink, Wyger M.
Webb, Andrew
Geus‐Oei, Lioe‐Fee
Slump, Cornelis H.
Kuznetsov, Dimitri V.
Schaart, Dennis R.
Grootjans, Willem
description Background Accuracy 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. Methods A 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 99mTc‐pertechnetate, 18F‐fluorodeoxyglucose ([18F]FDG), iodine‐ and gadolinium‐based contrast agents for SPECT, PET, CT, and T1‐weighted MR imaging respectively. Image acquisition was performed using standard oncological protocols on all modalities and repeated five times for repeatability assessment. A total of 93 radiomic features were calculated. Variability was assessed by determining the coefficient of quartile variation (CQV) of the features. Comparison of feature repeatability at different modalities and spatial scales was performed using Kruskal‐Wallis‐, Mann‐Whitney U‐, one‐way ANOVA‐ and independent t‐tests. Results Heterogeneous 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 
doi_str_mv 10.1002/mp.15537
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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. Methods A 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 99mTc‐pertechnetate, 18F‐fluorodeoxyglucose ([18F]FDG), iodine‐ and gadolinium‐based contrast agents for SPECT, PET, CT, and T1‐weighted MR imaging respectively. Image acquisition was performed using standard oncological protocols on all modalities and repeated five times for repeatability assessment. A total of 93 radiomic features were calculated. Variability was assessed by determining the coefficient of quartile variation (CQV) of the features. Comparison of feature repeatability at different modalities and spatial scales was performed using Kruskal‐Wallis‐, Mann‐Whitney U‐, one‐way ANOVA‐ and independent t‐tests. Results Heterogeneous 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 &lt; 10%). Conclusion The phantom was suitable for simulating heterogeneous uptake and enhancement patterns in [18F]FDG‐PET, 99mTc‐SPECT, CT, and T1‐weighted MR images. The results of this work indicate that the phantom might be useful for the further development and optimization of imaging protocols for radiomic quantification in hybrid imaging modalities.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1002/mp.15537</identifier><identifier>PMID: 35178781</identifier><language>eng</language><publisher>United States: John Wiley and Sons Inc</publisher><subject>3D printing ; Feasibility Studies ; Fluorodeoxyglucose F18 ; hybrid imaging ; Image Processing, Computer-Assisted - methods ; Multimodal Imaging ; multimodality imaging ; phantom studies ; Phantoms, Imaging ; Positron-Emission Tomography ; QUANTITATIVE IMAGING AND IMAGE PROCESSING ; radiomics ; repeatability</subject><ispartof>Medical physics (Lancaster), 2022-05, Vol.49 (5), p.3093-3106</ispartof><rights>2022 The Authors. published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.</rights><rights>2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3717-665d68aa282401fa0db691e0513fba0219da23801cf75f7cf4471c39e934f693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmp.15537$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmp.15537$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,315,786,790,891,27957,27958,50923,51032</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35178781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kalisvaart, Gijsbert M.</creatorcontrib><creatorcontrib>Velden, Floris H.P.</creatorcontrib><creatorcontrib>Hernández‐Girón, Irene</creatorcontrib><creatorcontrib>Meijer, Karin M.</creatorcontrib><creatorcontrib>Ghesquiere‐Dierickx, Laura M.H.</creatorcontrib><creatorcontrib>Brink, Wyger M.</creatorcontrib><creatorcontrib>Webb, Andrew</creatorcontrib><creatorcontrib>Geus‐Oei, Lioe‐Fee</creatorcontrib><creatorcontrib>Slump, Cornelis H.</creatorcontrib><creatorcontrib>Kuznetsov, Dimitri V.</creatorcontrib><creatorcontrib>Schaart, Dennis R.</creatorcontrib><creatorcontrib>Grootjans, Willem</creatorcontrib><title>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</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Background Accuracy 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. Methods A 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 99mTc‐pertechnetate, 18F‐fluorodeoxyglucose ([18F]FDG), iodine‐ and gadolinium‐based contrast agents for SPECT, PET, CT, and T1‐weighted MR imaging respectively. Image acquisition was performed using standard oncological protocols on all modalities and repeated five times for repeatability assessment. A total of 93 radiomic features were calculated. Variability was assessed by determining the coefficient of quartile variation (CQV) of the features. Comparison of feature repeatability at different modalities and spatial scales was performed using Kruskal‐Wallis‐, Mann‐Whitney U‐, one‐way ANOVA‐ and independent t‐tests. Results Heterogeneous 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 &lt; 10%). Conclusion The phantom was suitable for simulating heterogeneous uptake and enhancement patterns in [18F]FDG‐PET, 99mTc‐SPECT, CT, and T1‐weighted MR images. The results of this work indicate that the phantom might be useful for the further development and optimization of imaging protocols for radiomic quantification in hybrid imaging modalities.</description><subject>3D printing</subject><subject>Feasibility Studies</subject><subject>Fluorodeoxyglucose F18</subject><subject>hybrid imaging</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Multimodal Imaging</subject><subject>multimodality imaging</subject><subject>phantom studies</subject><subject>Phantoms, Imaging</subject><subject>Positron-Emission Tomography</subject><subject>QUANTITATIVE IMAGING AND IMAGE PROCESSING</subject><subject>radiomics</subject><subject>repeatability</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kctu1TAURS0EopeCxBcgD5mk2HEeNwyQqvKUimDQuXXi2LkHYju1naJ8HP-GuWkLDBhZlpfW2d6HkOecnXHGyld2PuN1LdoHZFdWrSiqknUPyY6xrirKitUn5EmM3xhjjajZY3Iiat7u2z3fkZ9vdcTRUXAD1TcwLZDQO-oNBWr9sEwQqF2mhPkCE6aVooUR3UjnA7jkLU2eRswIJE0POungR-20XyJd5gTf9aZ2mVbaapfoDClTLlLjAw0woLeo6PWSdWhQbQHQ0cPaBxzu5r2m59RoiNjjMUZMy7A-JY8MTFE_uz1PydX7d1cXH4vLLx8-XZxfFkq0vC2aph6aPUC5z2VwA2zom45rVnNhemAl7wYoxZ5xZdratMpUVcuV6HQnKtN04pS82bTz0ls9qPyLAJOcQ84WVukB5b8vDg9y9DeyEzy3z7Lg5a0g-OtFxyQtRqWnCY5NybIRrBNMlPwPqoKPMWhzP4Yz-XvZ0s7yuOyMvvg71j14t90MFBvwAye9_lckP3_dhL8Afgm5EA</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Kalisvaart, Gijsbert M.</creator><creator>Velden, Floris H.P.</creator><creator>Hernández‐Girón, Irene</creator><creator>Meijer, Karin M.</creator><creator>Ghesquiere‐Dierickx, Laura M.H.</creator><creator>Brink, Wyger M.</creator><creator>Webb, Andrew</creator><creator>Geus‐Oei, Lioe‐Fee</creator><creator>Slump, Cornelis H.</creator><creator>Kuznetsov, Dimitri V.</creator><creator>Schaart, Dennis R.</creator><creator>Grootjans, Willem</creator><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202205</creationdate><title>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</title><author>Kalisvaart, Gijsbert M. ; Velden, Floris H.P. ; Hernández‐Girón, Irene ; Meijer, Karin M. ; Ghesquiere‐Dierickx, Laura M.H. ; Brink, Wyger M. ; Webb, Andrew ; Geus‐Oei, Lioe‐Fee ; Slump, Cornelis H. ; Kuznetsov, Dimitri V. ; Schaart, Dennis R. ; Grootjans, Willem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3717-665d68aa282401fa0db691e0513fba0219da23801cf75f7cf4471c39e934f693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>3D printing</topic><topic>Feasibility Studies</topic><topic>Fluorodeoxyglucose F18</topic><topic>hybrid imaging</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Multimodal Imaging</topic><topic>multimodality imaging</topic><topic>phantom studies</topic><topic>Phantoms, Imaging</topic><topic>Positron-Emission Tomography</topic><topic>QUANTITATIVE IMAGING AND IMAGE PROCESSING</topic><topic>radiomics</topic><topic>repeatability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kalisvaart, Gijsbert M.</creatorcontrib><creatorcontrib>Velden, Floris H.P.</creatorcontrib><creatorcontrib>Hernández‐Girón, Irene</creatorcontrib><creatorcontrib>Meijer, Karin M.</creatorcontrib><creatorcontrib>Ghesquiere‐Dierickx, Laura M.H.</creatorcontrib><creatorcontrib>Brink, Wyger M.</creatorcontrib><creatorcontrib>Webb, Andrew</creatorcontrib><creatorcontrib>Geus‐Oei, Lioe‐Fee</creatorcontrib><creatorcontrib>Slump, Cornelis H.</creatorcontrib><creatorcontrib>Kuznetsov, Dimitri V.</creatorcontrib><creatorcontrib>Schaart, Dennis R.</creatorcontrib><creatorcontrib>Grootjans, Willem</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kalisvaart, Gijsbert M.</au><au>Velden, Floris H.P.</au><au>Hernández‐Girón, Irene</au><au>Meijer, Karin M.</au><au>Ghesquiere‐Dierickx, Laura M.H.</au><au>Brink, Wyger M.</au><au>Webb, Andrew</au><au>Geus‐Oei, Lioe‐Fee</au><au>Slump, Cornelis H.</au><au>Kuznetsov, Dimitri V.</au><au>Schaart, Dennis R.</au><au>Grootjans, Willem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2022-05</date><risdate>2022</risdate><volume>49</volume><issue>5</issue><spage>3093</spage><epage>3106</epage><pages>3093-3106</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Background Accuracy 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. Methods A 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 99mTc‐pertechnetate, 18F‐fluorodeoxyglucose ([18F]FDG), iodine‐ and gadolinium‐based contrast agents for SPECT, PET, CT, and T1‐weighted MR imaging respectively. Image acquisition was performed using standard oncological protocols on all modalities and repeated five times for repeatability assessment. A total of 93 radiomic features were calculated. Variability was assessed by determining the coefficient of quartile variation (CQV) of the features. Comparison of feature repeatability at different modalities and spatial scales was performed using Kruskal‐Wallis‐, Mann‐Whitney U‐, one‐way ANOVA‐ and independent t‐tests. Results Heterogeneous 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 &lt; 10%). Conclusion The phantom was suitable for simulating heterogeneous uptake and enhancement patterns in [18F]FDG‐PET, 99mTc‐SPECT, CT, and T1‐weighted MR images. The results of this work indicate that the phantom might be useful for the further development and optimization of imaging protocols for radiomic quantification in hybrid imaging modalities.</abstract><cop>United States</cop><pub>John Wiley and Sons Inc</pub><pmid>35178781</pmid><doi>10.1002/mp.15537</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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2473-4209
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subjects 3D printing
Feasibility Studies
Fluorodeoxyglucose F18
hybrid imaging
Image Processing, Computer-Assisted - methods
Multimodal Imaging
multimodality imaging
phantom studies
Phantoms, Imaging
Positron-Emission Tomography
QUANTITATIVE IMAGING AND IMAGE PROCESSING
radiomics
repeatability
title 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
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