Cargando…

Test–Retest Data for Radiomics Feature Stability Analysis: Generalizable or Study-Specific?

Radiomics is an objective method for extracting quantitative information from medical images. However, in radiomics, standardization, overfitting, and generalization are major challenges to be overcome. Test–retest experiments can be used to select robust radiomic features that have minimal variatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	van Timmeren, Janna E., Leijenaar, Ralph T.H., van Elmpt, Wouter, Wang, Jiazhou, Zhang, Zhen, Dekker, André, Lambin, Philippe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Grapho Publications, LLC 2016
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037932/ https://www.ncbi.nlm.nih.gov/pubmed/30042967 http://dx.doi.org/10.18383/j.tom.2016.00208

Ejemplares similares

(18)F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) – A prospective externally validated study
por: Carvalho, Sara, et al.
Publicado: (2018)

Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence
por: van Timmeren, Janna E., et al.
Publicado: (2019)

Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics
por: van Timmeren, Janna E., et al.
Publicado: (2019)

The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
por: Leijenaar, Ralph T.H., et al.
Publicado: (2015)

Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial
por: Peerlings, Jurgen, et al.
Publicado: (2019)

Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability
por: Granzier, R.W.Y., et al.
Publicado: (2021)

Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures
por: Larue, Ruben T H M, et al.
Publicado: (2017)

Phantom-based radiomics feature test–retest stability analysis on photon-counting detector CT
por: Hertel, Alexander, et al.
Publicado: (2023)

The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset
por: Ibrahim, Abdalla, et al.
Publicado: (2021)

Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
por: Parmar, Chintan, et al.
Publicado: (2015)

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
por: Parmar, Chintan, et al.
Publicado: (2014)

Defining the biological basis of radiomic phenotypes in lung cancer
por: Grossmann, Patrick, et al.
Publicado: (2017)

MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability
por: Granzier, R. W. Y., et al.
Publicado: (2020)

Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
por: Aerts, Hugo J.W.L., et al.
Publicado: (2014)

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
por: Aerts, Hugo J. W. L., et al.
Publicado: (2014)

Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
por: Huynh, Bao Ngoc, et al.
Publicado: (2023)

Decision Support Systems in Oncology
por: Walsh, Seán, et al.
Publicado: (2019)

Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians
por: Frix, Anne-Noëlle, et al.
Publicado: (2021)

[18F]FDG PET/CT-based response assessment of stage IV non-small cell lung cancer treated with paclitaxel-carboplatin-bevacizumab with or without nitroglycerin patches
por: de Jong, Evelyn E. C., et al.
Publicado: (2016)

Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives
por: Park, Ji Eun, et al.
Publicado: (2019)

Optimal gating compared to 3D and 4D PET reconstruction for characterization of lung tumours
por: van Elmpt, Wouter, et al.
Publicado: (2011)

Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study
por: Wu, Guangyao, et al.
Publicado: (2020)

A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images
por: Keek, Simon A., et al.
Publicado: (2021)

Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features
por: Wang, Lu, et al.
Publicado: (2021)

Repeatability and Reproducibility of Radiomic Features: A Systematic Review
por: Traverso, Alberto, et al.
Publicado: (2018)

Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability
por: Zhang, Jiang, et al.
Publicado: (2023)

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
por: Ibrahim, Abdalla, et al.
Publicado: (2021)

Application of radiomics feature captured from MRI for prediction of recurrence for glioma patients
por: Liu, Canyu, et al.
Publicado: (2022)

Radiomics in medical imaging—“how-to” guide and critical reflection
por: van Timmeren, Janita E., et al.
Publicado: (2020)

Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
por: Leijenaar, Ralph TH, et al.
Publicado: (2018)

Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics
por: Keek, Simon A., et al.
Publicado: (2022)

Validation of three deformable image registration algorithms for the thorax
por: Latifi, Kujtim, et al.
Publicado: (2013)

Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation
por: Park, Yae Won, et al.
Publicado: (2022)

Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19
por: Guiot, Julien, et al.
Publicado: (2020)

Multichannel Investigation of Interoception: Sensitivity Is Not a Generalizable Feature
por: Ferentzi, Eszter, et al.
Publicado: (2018)

[(18)F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
por: Ferreira, Marta, et al.
Publicado: (2021)

External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients
por: Leijenaar, Ralph T. H., et al.
Publicado: (2023)

Repeatability of Cardiac Magnetic Resonance Radiomics: A Multi-Centre Multi-Vendor Test-Retest Study
por: Raisi-Estabragh, Zahra, et al.
Publicado: (2020)

Radiomics features on radiotherapy treatment planning CT can predict patient survival in locally advanced rectal cancer patients
por: Wang, Jiazhou, et al.
Publicado: (2019)

Correction to: [(18)F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation
por: Ferreira, Marta, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5c67kj8agqm0dc90u3buv25aqq