6533b81ffe1ef96bd127857a
RESEARCH PRODUCT
Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
Phan TrangGiuseppe BarbagalloViviana BenfanteFrancesco CertoSebastiano CosentinoSelene RichiusaAntonino TuttolomondoMassimo IppolitoGiorgio Ivan RussoAlbert ComelliRoberto AltieriAlessandro StefanoAntonio Linkoln Alves Borges LealMaria Gabriella Sabinisubject
TechnologyTomografía de emisión de positronesNeoplasias encefálicasCorrelation coefficientImagen por resonancia magnética:Phenomena and Processes::Mathematical Concepts::Probability::Uncertainty [Medical Subject Headings]QH301-705.5Computer scienceQC1-999:Diseases::Neoplasms::Neoplasms by Site::Nervous System Neoplasms::Central Nervous System Neoplasms::Brain Neoplasms [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Magnetic Resonance Imaging [Medical Subject Headings]Co registrationFluid-attenuated inversion recovery:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]Magnetic resonance imagingRadiomicsRobustness (computer science):Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Techniques Radioisotope::Radionuclide Imaging::Tomography Emission-Computed::Positron-Emission Tomography [Medical Subject Headings]Resamplingradiomics feature robustness; imaging quantification; [11C]-methionine positron emission tomography; PET/MRI co-registration Appl.medicineGeneral Materials ScienceBiology (General)QD1-999InstrumentationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFluid Flow and Transfer Processesmedicine.diagnostic_testbusiness.industryTPhysicsProcess Chemistry and TechnologyRadiomics feature robustnessGeneral EngineeringPET/MRI co-registrationMagnetic resonance imagingPattern recognitionEngineering (General). Civil engineering (General)Imaging quantificationComputer Science ApplicationsChemistry:Chemicals and Drugs::Amino Acids Peptides and Proteins::Amino Acids::Amino Acids Essential::Methionine [Medical Subject Headings]Positron emission tomography[11C]-methionine positron emission tomography:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Prognosis [Medical Subject Headings]Artificial intelligenceTA1-2040businessdescription
Radiomics holds great promise in the field of cancer management. However, the clinical application of radiomics has been hampered by uncertainty about the robustness of the features extracted from the images. Previous studies have reported that radiomics features are sensitive to changes in voxel size resampling and interpolation, image perturbation, or slice thickness. This study aims to observe the variability of positron emission tomography (PET) radiomics features under the impact of co-registration with magnetic resonance imaging (MRI) using the difference percentage coefficient, and the Spearman’s correlation coefficient for three groups of images: (i) original PET, (ii) PET after co-registration with T1-weighted MRI and (iii) PET after co-registration with FLAIR MRI. Specifically, seventeen patients with brain cancers undergoing [11C]-Methionine PET were considered. Successively, PET images were co-registered with MRI sequences and 107 features were extracted for each mentioned group of images. The variability analysis revealed that shape features, first-order features and two subgroups of higher-order features possessed a good robustness, unlike the remaining groups of features, which showed large differences in the difference percentage coefficient. Furthermore, using the Spearman’s correlation coefficient, approximately 40% of the selected features differed from the three mentioned groups of images. This is an important consideration for users conducting radiomics studies with image co-registration constraints to avoid errors in cancer diagnosis, prognosis, and clinical outcome prediction.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-10-30 | Applied Sciences |