Cargando…

Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [(18)F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation

PURPOSE: To assess (1) the repeatability and (2) the impact of reconstruction methods and delineation on the repeatability of 105 radiomic features in non-small-cell lung cancer (NSCLC) 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomorgraphy/computed tomography (PET/CT) studies....

Descripción completa

Detalles Bibliográficos
Autores principales:	van Velden, Floris H. P., Kramer, Gerbrand M., Frings, Virginie, Nissen, Ida A., Mulder, Emma R., de Langen, Adrianus J., Hoekstra, Otto S., Smit, Egbert F., Boellaard, Ronald
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5010602/ https://www.ncbi.nlm.nih.gov/pubmed/26920355 http://dx.doi.org/10.1007/s11307-016-0940-2

Ejemplares similares

Repeatability of [(18)F]FDG PET/CT total metabolic active tumour volume and total tumour burden in NSCLC patients
por: Kolinger, Guilherme D., et al.
Publicado: (2019)

Effects of Tracer Uptake Time in Non–Small Cell Lung Cancer (18)F-FDG PET Radiomics
por: Kolinger, Guilherme D., et al.
Publicado: (2022)

Impact of [(18)F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology
por: Cheebsumon, Patsuree, et al.
Publicado: (2011)

Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies
por: van Velden, Floris H. P., et al.
Publicado: (2011)

Partial volume correction strategies for quantitative FDG PET in oncology
por: Hoetjes, Nikie J., et al.
Publicado: (2010)

Repeatability of (18)F‐FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method
por: Pfaehler, Elisabeth, et al.
Publicado: (2018)

Measuring response to therapy using FDG PET: semi-quantitative and full kinetic analysis
por: Cheebsumon, Patsuree, et al.
Publicado: (2011)

Effects of Reusing Baseline Volumes of Interest by Applying (Non-)Rigid Image Registration on Positron Emission Tomography Response Assessments
por: van Velden, Floris H. P., et al.
Publicado: (2014)

Measurement of metabolic tumor volume: static versus dynamic FDG scans
por: Cheebsumon, Patsuree, et al.
Publicado: (2011)

Early response evaluation of PD-1 blockade in NSCLC patients through FDG-PET-CT and T cell profiling of tumor-draining lymph nodes
por: Borm, Frank J., et al.
Publicado: (2023)

Radiomics analysis of pre-treatment [(18)F]FDG PET/CT for patients with metastatic colorectal cancer undergoing palliative systemic treatment
por: van Helden, E. J., et al.
Publicado: (2018)

Potential advantages of FDG‐PET radiomic feature map for target volume delineation in lung cancer radiotherapy
por: Falahatpour, Zahra, et al.
Publicado: (2022)

Metabolically active tumour volume segmentation from dynamic [(18)F]FLT PET studies in non-small cell lung cancer
por: Hoyng, Lieke L, et al.
Publicado: (2015)

Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features
por: Eertink, Jakoba J., et al.
Publicado: (2022)

[(18)F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas
por: Noortman, Wyanne A., et al.
Publicado: (2022)

Volume of interest delineation techniques for (18)F-FDG PET-CT scans during neoadjuvant extremity soft tissue sarcoma treatment in adults: a feasibility study
por: Stevenson, Marc G., et al.
Publicado: (2018)

Impact of partial-volume correction in oncological PET studies: a systematic review and meta-analysis
por: Cysouw, Matthijs C. F., et al.
Publicado: (2017)

The Influence of the Exclusion of Central Necrosis on [(18)F]FDG PET Radiomic Analysis
por: Noortman, Wyanne A., et al.
Publicado: (2021)

Partial-volume correction in dynamic PET-CT: effect on tumor kinetic parameter estimation and validation of simplified metrics
por: Cysouw, M. C. F., et al.
Publicado: (2019)

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET
por: Pfaehler, Elisabeth, et al.
Publicado: (2021)

(18)F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma
por: Eertink, Jakoba J., et al.
Publicado: (2021)

Predictive value of quantitative (18)F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma
por: Martens, Roland M., et al.
Publicado: (2020)

Pemetrexed Induced Thymidylate Synthase Inhibition in Non-Small Cell Lung Cancer Patients: A Pilot Study with 3′-Deoxy-3′-[(18)F]fluorothymidine Positron Emission Tomography
por: Frings, Virginie, et al.
Publicado: (2013)

Validation of [(18)F]FLT as a perfusion-independent imaging biomarker of tumour response in EGFR-mutated NSCLC patients undergoing treatment with an EGFR tyrosine kinase inhibitor
por: Iqbal, R., et al.
Publicado: (2018)

Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules
por: de Koster, Elizabeth J., et al.
Publicado: (2022)

Evaluation of FET PET Radiomics Feature Repeatability in Glioma Patients
por: Gutsche, Robin, et al.
Publicado: (2021)

Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with (18)F-FDG PET Radiomics Based Machine Learning Classification
por: Beukinga, Roelof J., et al.
Publicado: (2022)

Early (18)F-FDG PET/CT Evaluation Shows Heterogeneous Metabolic Responses to Anti-EGFR Therapy in Patients with Metastatic Colorectal Cancer
por: van Helden, Erik J., et al.
Publicado: (2016)

[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)

Evaluation of FDG-PET/CT Use in Children with Suspected Infection or Inflammation
por: Ropers, Fabienne G., et al.
Publicado: (2020)

Effects of rigid and non-rigid image registration on test-retest variability of quantitative [(18)F]FDG PET/CT studies
por: van Velden, Floris HP, et al.
Publicado: (2012)

On the Added Value of Baseline FDG-PET in Malignant Lymphoma
por: Quarles van Ufford, Henriette, et al.
Publicado: (2009)

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)

Delineation of lung cancer with FDG PET/CT during radiation therapy
por: Ganem, J., et al.
Publicado: (2018)

Assessment of tumour size in PET/CT lung cancer studies: PET- and CT-based methods compared to pathology
por: Cheebsumon, Patsuree, et al.
Publicado: (2012)

(18)F-FDG PET/CT to predict tumor PD-L1 expression and response to PD-(L)1 blockade in patients with non-small-cell lung cancer
por: Borm, Frank Johannes, et al.
Publicado: (2020)

Response Prediction and Evaluation Using PET in Patients with Solid Tumors Treated with Immunotherapy
por: Borm, Frank J., et al.
Publicado: (2021)

Adding the temporal domain to PET radiomic features
por: Noortman, Wyanne A., et al.
Publicado: (2020)

Congruency of tumour volume delineated by FET PET and MRSI
por: Mauler, Jörg, et al.
Publicado: (2015)

Prognostic model using (18)F-FDG PET radiomics predicts progression-free survival in relapsed/refractory Hodgkin lymphoma
por: Driessen, Julia, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_vgmhojs90utg08tidibqp4thot