ArticlePloS one2016
A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Repeatability and Reproducibility of Radiomic Features: A Systematic Review.International journal of radiation oncology, biology, physics · 2018Pooled it
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- Multicentric study on the reproducibility and robustness of PET-based radiomics features with a realistic activity painting phantom.PloS one · 2024Article
- A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings.Frontiers in nuclear medicine · 2023Article
- Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F]FDOPA PET/CT.European journal of nuclear medicine and molecular imaging · 2022Article
- A multi-modality physical phantom for mimicking tumor heterogeneity patterns in PET/CT and PET/MRI.Medical physics · 2022Article
- Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study.Tomography (Ann Arbor, Mich.) · 2022Article
- Development and validation of nomograms by radiomic features on ultrasound imaging for predicting overall survival in patients with primary nodal diffuse large B-cell lymphoma.Frontiers in oncology · 2022Article
- Impact of Interfractional Error on Dosiomic Features.Frontiers in oncology · 2022Article
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- Effect of grey-level discretization on texture feature on different weighted MRI images of diverse disease groups.PloS one · 2021Article
- Radiomics in medical imaging-"how-to" guide and critical reflection.Insights into imaging · 2020Review
- Quantitative accuracy of radiomic features of low-doseTranslational cancer research · 2020Article
- Reproducibility of Segmentation-based Myocardial Radiomic Features with Cardiac MRI.Radiology. Cardiothoracic imaging · 2020Article
- Radiogenomics Based on PET Imaging.Nuclear medicine and molecular imaging · 2020Review
- Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs.Medical physics · 2020Review
- Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis.European journal of nuclear medicine and molecular imaging · 2019Review
Corrections and comments
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12 authors.
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Abstract
Textural analysis might give new insights into the quantitative characterization of metabolically active tumors. More than thirty textural parameters have been investigated in former F18-FDG studies already. The purpose of the paper is to declare basic requirements as a selection strategy to identify the most appropriate heterogeneity parameters to measure textural features. Our predefined requirements were: a reliable heterogeneity parameter has to be volume independent, reproducible, and suitable for expressing quantitatively the degree of heterogeneity. Based on this criteria, we compared various suggested measures of homogeneity. A homogeneous cylindrical phantom was measured on three different PET/CT scanners using the commonly used protocol. In addition, a custom-made inhomogeneous tumor insert placed into the NEMA image quality phantom was imaged with a set of acquisition times and several different reconstruction protocols. PET data of 65 patients with proven lung lesions were retrospectively analyzed as well. Four heterogeneity parameters out of 27 were found as the most attractive ones to characterize the textural properties of metabolically active tumors in FDG PET images. These four parameters included Entropy, Contrast, Correlation, and Coefficient of Variation. These parameters were independent of delineated tumor volume (bigger than 25-30 ml), provided reproducible values (relative standard deviation< 10%), and showed high sensitivity to changes in heterogeneity. Phantom measurements are a viable way to test the reliability of heterogeneity parameters that would be of interest to nuclear imaging clinicians.
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