| 001 | 178881 | ||
| 005 | 20240229143558.0 | ||
| 024 | 7 | _ | |a 10.1002/mp.15537 |2 doi |
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| 024 | 7 | _ | |a 0094-2405 |2 ISSN |
| 024 | 7 | _ | |a 1522-8541 |2 ISSN |
| 024 | 7 | _ | |a 2473-4209 |2 ISSN |
| 024 | 7 | _ | |a altmetric:123458272 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2022-00316 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Kalisvaart, Gijsbert M |b 0 |
| 245 | _ | _ | |a 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. |
| 260 | _ | _ | |a College Park, Md. |c 2022 |b AAPM |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1654086997_32 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a 2022 May;49(5):3093-3106 |
| 520 | _ | _ | |a Accuracy and precision assessment in radiomic features is important for 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.A modular multimodality imaging phantom was constructed that could simulate different patterns of heterogenous uptake and enhancement patterns in PET, SPECT, CT, and MR imaging. The phantom was designed to be used as an insert in the standard NEMA-NU2 IQ phantom casing. The entire phantom insert is composed out 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 99m Tc-pertechnetate, 18 F-fluorodeoxyglucose, iodine- and gadolinium-based contrast agents for SPECT, PET, CT, and T1 -weigthed 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.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 GLCM and GLRLM class, were found to be relatively stable in all 4 modalities for all 3 spatial scales of heterogeneous patterns (with CQVs <10%).The phantom was suitable for simulating heterogeneous uptake and enhancement patterns in [18 F]FDG-PET, 99m Tc-SPECT, CT, and T1 -weigthed 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. This article is protected by copyright. All rights reserved. |
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| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de |
| 650 | _ | 7 | |a 3D printing |2 Other |
| 650 | _ | 7 | |a hybrid imaging |2 Other |
| 650 | _ | 7 | |a multimodality imaging |2 Other |
| 650 | _ | 7 | |a phantom studies |2 Other |
| 650 | _ | 7 | |a radiomics |2 Other |
| 650 | _ | 7 | |a repeatability |2 Other |
| 700 | 1 | _ | |a van Velden, Floris H P |b 1 |
| 700 | 1 | _ | |a Hernández-Girón, Irene |b 2 |
| 700 | 1 | _ | |a Meijer, Karin M |b 3 |
| 700 | 1 | _ | |a Ghesquiere-Dierickx, Laura M H |0 P:(DE-He78)84edc78dad0b83ad6c0633bd24a0b5b7 |b 4 |u dkfz |
| 700 | 1 | _ | |a Brink, Wyger M |b 5 |
| 700 | 1 | _ | |a Webb, Andrew |b 6 |
| 700 | 1 | _ | |a de Geus-Oei, Lioe-Fee |b 7 |
| 700 | 1 | _ | |a Slump, Cornelis H |b 8 |
| 700 | 1 | _ | |a Kuznetsov, Dimitri V |b 9 |
| 700 | 1 | _ | |a Schaart, Dennis R |b 10 |
| 700 | 1 | _ | |a Grootjans, Willem |b 11 |
| 773 | _ | _ | |a 10.1002/mp.15537 |g p. mp.15537 |0 PERI:(DE-600)1466421-5 |n 5 |p 3093-3106 |t Medical physics |v 49 |y 2022 |x 0094-2405 |
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| 914 | 1 | _ | |y 2022 |
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