Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies.

Autor:	Ger RB; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA. rbger@mdanderson.org.; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA. rbger@mdanderson.org., Zhou S; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Chi PM; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Lee HJ; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Layman RR; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Jones AK; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Goff DL; Medical & Radiation Physics, Inc, San Antonio, Texas, USA., Fuller CD; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.; Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Howell RM; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA., Li H; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA., Stafford RJ; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Court LE; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Mackin DS; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.; MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.
Jazyk:	angličtina
Zdroj:	Scientific reports [Sci Rep] 2018 Aug 29; Vol. 8 (1), pp. 13047. Date of Electronic Publication: 2018 Aug 29.
DOI:	10.1038/s41598-018-31509-z
Abstrakt:	Radiomics has shown promise in improving models for predicting patient outcomes. However, to maximize the information gain of the radiomics features, especially in larger patient cohorts, the variability in radiomics features owing to differences between scanners and scanning protocols must be accounted for. To this aim, the imaging variability of radiomics feature values was evaluated on 100 computed tomography scanners at 35 clinics by imaging a radiomics phantom using a controlled protocol and the commonly used chest and head protocols of the local clinic. We used a linear mixed-effects model to determine the degree to which the manufacturer and individual scanners contribute to the overall variability. Using a controlled protocol reduced the overall variability by 57% and 52% compared to the local chest and head protocols respectively. The controlled protocol also reduced the relative contribution of the manufacturer to the total variability. For almost all variabilities (manufacturer, scanner, and residual with different preprocesssing), the controlled protocol scans had a significantly smaller variability than the local protocol scans did. For most radiomics features, the imaging variability was small relative to the inter-patient feature variability in non-small cell lung cancer and head and neck squamous cell carcinoma patient cohorts. From this study, we conclude that using controlled scans can reduce the variability in radiomics features, and our results demonstrate the importance of using controlled protocols in prospective radiomics studies.
Databáze:	MEDLINE
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