Radiomics in medical imaging—“how-to” guide and critical reflection
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Title
Radiomics in medical imaging—“how-to” guide and critical reflection
Authors
Keywords
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Journal
Insights into Imaging
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-08-12
DOI
10.1186/s13244-020-00887-2
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Note: Only part of the references are listed.- Effects of simulated dose variation on contrast-enhanced CT-based radiomic analysis for Non-Small Cell Lung Cancer
- (2020) Tobias Hepp et al. EUROPEAN JOURNAL OF RADIOLOGY
- T2w‐MRI signal normalization affects radiomics features reproducibility
- (2020) Elisa Scalco et al. MEDICAL PHYSICS
- Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs
- (2020) Alejandra Valladares et al. MEDICAL PHYSICS
- PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis
- (2020) Linda Bianchini et al. Physica Medica-European Journal of Medical Physics
- Effects of MRI image normalization techniques in prostate cancer radiomics
- (2020) Lars J. Isaksson et al. Physica Medica-European Journal of Medical Physics
- Machine learning helps identifying volume-confounding effects in radiomics
- (2020) Alberto Traverso et al. Physica Medica-European Journal of Medical Physics
- Robust, independent and relevant prognostic 18F-fluorodeoxyglucose positron emission tomography radiomics features in non-small cell lung cancer: Are there any?
- (2020) Tom Konert et al. PLoS One
- Optimal Statistical Incorporation of Independent Feature Stability Information into Radiomics Studies
- (2020) Michael Götz et al. Scientific Reports
- Impact of contouring variability on oncological PET radiomics features in the lung
- (2020) F. Yang et al. Scientific Reports
- The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker Research
- (2020) Alexander Mühlberg et al. Scientific Reports
- The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
- (2020) Alex Zwanenburg et al. RADIOLOGY
- Multicenter CT phantoms public dataset for radiomics reproducibility tests
- (2019) Petros Kalendralis et al. MEDICAL PHYSICS
- Radiomic Analysis of Myocardial Native T1 Imaging Discriminates Between Hypertensive Heart Disease and Hypertrophic Cardiomyopathy
- (2019) Ulf Neisius et al. JACC-Cardiovascular Imaging
- Reproducibility and non-redundancy of radiomic features extracted from arterial phase CT scans in hepatocellular carcinoma patients: impact of tumor segmentation variability
- (2019) Qingtao Qiu et al. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
- Assessing robustness of radiomic features by image perturbation
- (2019) Alex Zwanenburg et al. Scientific Reports
- Gray-level discretization impacts reproducible MRI radiomics texture features
- (2019) Loïc Duron et al. PLoS One
- Investigation of thoracic four-dimensional CT-based dimension reduction technique for extracting the robust radiomic features
- (2019) Shohei Tanaka et al. Physica Medica-European Journal of Medical Physics
- Impact of acquisition count statistics reduction and SUV discretization on PET radiomic features in pediatric 18F-FDG-PET/MRI examinations
- (2019) Marco Branchini et al. Physica Medica-European Journal of Medical Physics
- Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR
- (2019) Diem Vuong et al. MEDICAL PHYSICS
- Reliability of tumor segmentation in glioblastoma: impact on the robustness of MRI ‐radiomic features
- (2019) Florent Tixier et al. MEDICAL PHYSICS
- Repeatability of texture features derived from magnetic resonance and computed tomography imaging and use in predictive models for non-small cell lung cancer outcome
- (2019) Rebecca Nichole Mahon et al. PHYSICS IN MEDICINE AND BIOLOGY
- Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics
- (2019) Fanny Orlhac et al. RADIOLOGY
- Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
- (2019) Alex Zwanenburg EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
- (2019) Ji Eun Park et al. EUROPEAN RADIOLOGY
- Reliability of CT-based texture features: Phantom study
- (2019) Bino A. Varghese et al. Journal of Applied Clinical Medical Physics
- Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
- (2019) Hyemin Um et al. PHYSICS IN MEDICINE AND BIOLOGY
- Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction
- (2019) Qian Du et al. PLoS One
- Cardiac MRI and Texture Analysis of Myocardial T1 and T2 Maps in Myocarditis with Acute versus Chronic Symptoms of Heart Failure
- (2019) Bettina Baessler et al. RADIOLOGY
- Repeatability and reproducibility of MRI-based radiomic features in cervical cancer
- (2019) Sandra Fiset et al. RADIOTHERAPY AND ONCOLOGY
- Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer
- (2019) Seung-Hak Lee et al. CANCER IMAGING
- Repeatability of Multiparametric Prostate MRI Radiomics Features
- (2019) Michael Schwier et al. Scientific Reports
- Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging
- (2019) Philip Whybra et al. Scientific Reports
- Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions
- (2019) Ilke Tunali et al. MEDICAL PHYSICS
- Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses
- (2019) Jooae Choe et al. RADIOLOGY
- Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI‐radiomics of the brain
- (2019) Marco Bologna et al. MEDICAL PHYSICS
- Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer
- (2019) Concetta Piazzese et al. PLoS One
- Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection
- (2019) Bettina Baessler et al. EUROPEAN RADIOLOGY
- Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma
- (2019) Hajar Moradmand et al. Journal of Applied Clinical Medical Physics
- The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups
- (2019) Xiao Zhang et al. CANCER IMAGING
- Influence of inter-observer delineation variability on radiomics stability in different tumor sites
- (2018) Matea Pavic et al. ACTA ONCOLOGICA
- Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy—Preliminary results
- (2018) Bettina Baeßler et al. EUROPEAN JOURNAL OF RADIOLOGY
- Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography
- (2018) Manoj Mannil et al. INVESTIGATIVE RADIOLOGY
- A post-reconstruction harmonization method for multicenter radiomic studies in PET
- (2018) Fanny Orlhac et al. JOURNAL OF NUCLEAR MEDICINE
- Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors
- (2018) Ashirbani Saha et al. MEDICAL PHYSICS
- Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: A simulation study utilizing ground truth
- (2018) Fei Yang et al. Physica Medica-European Journal of Medical Physics
- PET textural features stability and pattern discrimination power for radiomics analysis: An “ad-hoc” phantoms study
- (2018) L. Presotto et al. Physica Medica-European Journal of Medical Physics
- Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images
- (2018) Bettina Baessler et al. RADIOLOGY
- Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters
- (2018) Roberto Berenguer et al. RADIOLOGY
- Effect of tube current on computed tomography radiomic features
- (2018) Dennis Mackin et al. Scientific Reports
- Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study
- (2018) Harini Veeraraghavan et al. Scientific Reports
- Parameters Influencing PET Imaging Features: A Phantom Study with Irregular and Heterogeneous Synthetic Lesions
- (2018) Francesca Gallivanone et al. Contrast Media & Molecular Imaging
- Cardiac MRI Texture Analysis of T1 and T2 Maps in Patients with Infarctlike Acute Myocarditis
- (2018) Bettina Baessler et al. RADIOLOGY
- Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies
- (2018) Rachel B. Ger et al. Scientific Reports
- Voxel size and gray level normalization of CT radiomic features in lung cancer
- (2018) Muhammad Shafiq-ul-Hassan et al. Scientific Reports
- Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging
- (2018) Bettina Baeßler et al. INVESTIGATIVE RADIOLOGY
- Repeatability of 18 F-FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method
- (2018) Elisabeth Pfaehler et al. MEDICAL PHYSICS
- Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes
- (2018) Richard D Riley et al. STATISTICS IN MEDICINE
- Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method
- (2017) Mathieu Hatt et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Impact of experimental design on PET radiomics in predicting somatic mutation status
- (2017) Stephen S.F. Yip et al. EUROPEAN JOURNAL OF RADIOLOGY
- The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies
- (2017) Isaac Shiri et al. EUROPEAN RADIOLOGY
- Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms
- (2017) Baderaldeen A. Altazi et al. Journal of Applied Clinical Medical Physics
- On the impact of smoothing and noise on robustness of CT and CBCT radiomics features for patients with head and neck cancers
- (2017) Hassan Bagher-Ebadian et al. MEDICAL PHYSICS
- Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
- (2017) Muhammad Shafiq-ul-Hassan et al. MEDICAL PHYSICS
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- 4DCT imaging to assess radiomics feature stability: An investigation for thoracic cancers
- (2017) Ruben T.H.M. Larue et al. RADIOTHERAPY AND ONCOLOGY
- Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners
- (2017) Sylvain Reuzé et al. Oncotarget
- The effect of post-injection 18F-FDG PET scanning time on texture analysis of peripheral nerve sheath tumours in neurofibromatosis-1
- (2017) Eitan Lovat et al. EJNMMI Research
- Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings
- (2017) Lin Lu et al. PLoS One
- Harmonizing the pixel size in retrospective computed tomography radiomics studies
- (2017) Dennis Mackin et al. PLoS One
- 18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer
- (2016) Charline Lasnon et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non–Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort
- (2016) Marie-Charlotte Desseroit et al. JOURNAL OF NUCLEAR MEDICINE
- The Impact of Optimal Respiratory Gating and Image Noise on Evaluation of Intratumor Heterogeneity on 18F-FDG PET Imaging of Lung Cancer
- (2016) W. Grootjans et al. JOURNAL OF NUCLEAR MEDICINE
- Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features
- (2016) P. Lo et al. MEDICAL PHYSICS
- Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [18F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation
- (2016) Floris H. P. van Velden et al. MOLECULAR IMAGING AND BIOLOGY
- Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization
- (2016) Lijun Lu et al. MOLECULAR IMAGING AND BIOLOGY
- Evaluation of PET texture features with heterogeneous phantoms: complementarity and effect of motion and segmentation method
- (2016) M Carles et al. PHYSICS IN MEDICINE AND BIOLOGY
- Stability of radiomic features in CT perfusion maps
- (2016) M Bogowicz et al. PHYSICS IN MEDICINE AND BIOLOGY
- Applications and limitations of radiomics
- (2016) Stephen S F Yip et al. PHYSICS IN MEDICINE AND BIOLOGY
- Quantitative Features of Liver Lesions, Lung Nodules, and Renal Stones at Multi–Detector Row CT Examinations: Dependency on Radiation Dose and Reconstruction Algorithm
- (2016) Justin Solomon et al. RADIOLOGY
- Reproducibility with repeat CT in radiomics study for rectal cancer
- (2016) Panpan Hu et al. Oncotarget
- Respiration-Averaged CT for Attenuation Correction of PET Images – Impact on PET Texture Features in Non-Small Cell Lung Cancer Patients
- (2016) Nai-Ming Cheng et al. PLoS One
- Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials
- (2016) Clément Bailly et al. PLoS One
- A Study on the Basic Criteria for Selecting Heterogeneity Parameters of F18-FDG PET Images
- (2016) Attila Forgacs et al. PLoS One
- Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability
- (2016) Hyungjin Kim et al. PLoS One
- Reproducibility of radiomics for deciphering tumor phenotype with imaging
- (2016) Binsheng Zhao et al. Scientific Reports
- Preliminary investigation into sources of uncertainty in quantitative imaging features
- (2015) Xenia Fave et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer
- (2015) Georgia Doumou et al. EUROPEAN RADIOLOGY
- Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET
- (2015) J. Yan et al. JOURNAL OF NUCLEAR MEDICINE
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
- (2015) M Vallières et al. PHYSICS IN MEDICINE AND BIOLOGY
- Metrology Standards for Quantitative Imaging Biomarkers
- (2015) Daniel C. Sullivan et al. RADIOLOGY
- Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer
- (2015) Jasmine A. Oliver et al. Translational Oncology
- Quantitative Analysis of the Effect of Iterative Reconstruction Using a Phantom: Determining the Appropriate Blending Percentage
- (2015) Hyun Gi Kim et al. YONSEI MEDICAL JOURNAL
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
- (2015) Anastasia Chalkidou et al. PLoS One
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
- (2015) Ralph T.H. Leijenaar et al. Scientific Reports
- Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer
- (2014) David V. Fried et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Test–Retest Reproducibility Analysis of Lung CT Image Features
- (2014) Yoganand Balagurunathan et al. JOURNAL OF DIGITAL IMAGING
- Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
- (2014) Chintan Parmar et al. PLoS One
- Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study
- (2014) Binsheng Zhao et al. Translational Oncology
- Reproducibility and Prognosis of Quantitative Features Extracted from CT Images
- (2014) Yoganand Balagurunathan et al. Translational Oncology
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
- (2013) Ralph T. H. Leijenaar et al. ACTA ONCOLOGICA
- Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
- (2013) Mathieu Hatt et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- High quality machine-robust image features: Identification in nonsmall cell lung cancer computed tomography images
- (2013) Luke A. Hunter et al. MEDICAL PHYSICS
- 3D Slicer as an image computing platform for the Quantitative Imaging Network
- (2012) Andriy Fedorov et al. MAGNETIC RESONANCE IMAGING
- Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer
- (2009) Binsheng Zhao et al. RADIOLOGY
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