2016
DOI: 10.1007/s11307-016-0940-2
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Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [18F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation

Abstract: PurposeTo assess (1) the repeatability and (2) the impact of reconstruction methods and delineation on the repeatability of 105 radiomic features in non-small-cell lung cancer (NSCLC) 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomorgraphy/computed tomography (PET/CT) studies.ProceduresEleven NSCLC patients received two baseline whole-body PET/CT scans. Each scan was reconstructed twice, once using the point spread function (PSF) and once complying with the European Association for Nuclear Med… Show more

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Cited by 226 publications
(214 citation statements)
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“…Furthermore, the choice and definitions of the textural analysis metrics vary widely and the evaluation techniques differ substantially, thus, rendering a comparison between studies almost impossible [260,297]. The need for standardization efforts in the field of textural analyses has been highlighted previously [260,298,299], and efforts are currently under way to address this challenge [260,[300][301][302].…”
Section: Multi-centre Standardizationmentioning
confidence: 99%
“…Furthermore, the choice and definitions of the textural analysis metrics vary widely and the evaluation techniques differ substantially, thus, rendering a comparison between studies almost impossible [260,297]. The need for standardization efforts in the field of textural analyses has been highlighted previously [260,298,299], and efforts are currently under way to address this challenge [260,[300][301][302].…”
Section: Multi-centre Standardizationmentioning
confidence: 99%
“…Further work is also needed to more extensively explore the impact of PSF reconstructions, voxel size and number of iterations/subsets on the variability of quantitative metrics of clinical datasets. Some reports have already been published showing that the repeatability and ICC of SUVmax, SUVpeak and SUVmean are at an acceptable level [58]. …”
Section: Discussionmentioning
confidence: 99%
“…Radiomic features can reflect the heterogeneity of FDG uptake and have the potential to enhance prediction of response to chemoradiotherapy [43], patient outcome [13], and histopathology [44]. At the same time, radiomic features are influenced by different imaging processes, and there have been some efforts, as also mentioned in the introduction, to investigate sensitivity of radiomic features to different parameters/modes, data acquisition, reconstruction, and analysis [19,[23][24][25][26]45]. So far, to our knowledge, there have been no studies of robustness of radiomic features in PET imaging of nasopharyngeal carcinoma or, in fact, any radiomic analysis for [ 11 C]choline PET.…”
Section: Discussionmentioning
confidence: 99%