[HTML][HTML] The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review
The field of radiomics is at the forefront of personalized medicine. However, there is concern
that high variation in imaging parameters will impact robustness of radiomic features and …
that high variation in imaging parameters will impact robustness of radiomic features and …
[HTML][HTML] A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
Abstract Background and Purpose Although quantitative image biomarkers (radiomics)
show promising value for cancer diagnosis, prognosis, and treatment assessment, these …
show promising value for cancer diagnosis, prognosis, and treatment assessment, these …
Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study
F Michallek, U Genske, SM Niehues, B Hamm… - European …, 2022 - Springer
Objectives To compare image quality of deep learning reconstruction (AiCE) for radiomics
feature extraction with filtered back projection (FBP), hybrid iterative reconstruction (AIDR …
feature extraction with filtered back projection (FBP), hybrid iterative reconstruction (AIDR …
Impact of image quality on radiomics applications
Y Cui, FF Yin - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Radiomics features extracted from medical images have been widely reported to be useful
in the patient specific outcome modeling for variety of assessment and prediction purposes …
in the patient specific outcome modeling for variety of assessment and prediction purposes …
Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters
L Rinaldi, SP De Angelis, S Raimondi, S Rizzo… - European Radiology …, 2022 - Springer
Background We investigated to what extent tube voltage, scanner model, and reconstruction
algorithm affect radiomic feature reproducibility in a single-institution retrospective database …
algorithm affect radiomic feature reproducibility in a single-institution retrospective database …
Quality control of radiomic features using 3D-printed CT phantoms
Purpose: The lack of standardization in quantitative radiomic measures of tumors seen on
computed tomography (CT) scans is generally recognized as an unresolved issue. To …
computed tomography (CT) scans is generally recognized as an unresolved issue. To …
HeLLePhant: A phantom mimicking non-small cell lung cancer for texture analysis in CT images
L Rinaldi, F Pezzotta, T Santaniello, P De Marco… - Physica Medica, 2022 - Elsevier
Purpose Phantoms mimicking human tissue heterogeneity and intensity are required to
establish radiomic features robustness in Computed Tomography (CT) images. We …
establish radiomic features robustness in Computed Tomography (CT) images. We …
[HTML][HTML] Development of a radiomics prediction model for histological type diagnosis in solitary pulmonary nodules: the combination of CT and FDG PET
M Yan, W Wang - Frontiers in Oncology, 2020 - frontiersin.org
Purpose To develop a diagnostic model for histological subtypes in lung cancer combined
CT and FDG PET. Methods Machine learning binary and four class classification of a cohort …
CT and FDG PET. Methods Machine learning binary and four class classification of a cohort …
[HTML][HTML] Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer
Background No evidence supports the choice of specific imaging filtering methodologies in
radiomics. As the volume of the primary tumor is a well-recognized prognosticator, our …
radiomics. As the volume of the primary tumor is a well-recognized prognosticator, our …
Influence of adaptive statistical iterative reconstructions on CT radiomic features in oncologic patients
Iterative reconstructions (IR) might alter radiomic features extraction. We aim to evaluate the
influence of Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on CT radiomic features …
influence of Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on CT radiomic features …