Cargando…

Partial-volume correction in dynamic PET-CT: effect on tumor kinetic parameter estimation and validation of simplified metrics

BACKGROUND: Partial-volume effects generally result in an underestimation of tumor tracer uptake on PET-CT for small lesions, necessitating partial-volume correction (PVC) for accurate quantification. However, investigation of PVC in dynamic oncological PET studies to date is scarce. The aim of this...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cysouw, M. C. F., Golla, S. V. S., Frings, V., Smit, E. F., Hoekstra, O. S., Kramer, G. M., Boellaard, R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2019
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362178/ https://www.ncbi.nlm.nih.gov/pubmed/30715647 http://dx.doi.org/10.1186/s13550-019-0483-z

Ejemplares similares

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

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)

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising
por: Golla, Sandeep S. V., et al.
Publicado: (2017)

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

Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [(18)F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation
por: van Velden, Floris H. P., et al.
Publicado: (2016)

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)

Sensitivity of (18)F-fluorodihydrotestosterone PET-CT to count statistics and reconstruction protocol in metastatic castration-resistant prostate cancer
por: Cysouw, Matthijs C. F., et al.
Publicado: (2019)

Updating PET/CT performance standards and PET/CT interpretation criteria should go hand in hand
por: Boellaard, Ronald, et al.
Publicado: (2019)

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

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)

Harmonisation of PET/CT contrast recovery performance for brain studies
por: Verwer, E. E., et al.
Publicado: (2021)

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)

Reproducibility of Standardized Uptake Values Including Volume Metrics Between TOF-PET-MR and TOF-PET-CT
por: Tanaka, Aruki, et al.
Publicado: (2022)

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)

Classification of negative and positive (18)F-florbetapir brain PET studies in subjective cognitive decline patients using a convolutional neural network
por: de Vries, Bart Marius, et al.
Publicado: (2020)

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)

Consequences of using a simplified Kinetic Model for dynamic PET data
por: Coxson, P G, et al.
Publicado: (1995)

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)

Guidelines for quality control of PET/CT scans in a multicenter clinical study
por: Hristova, Ivalina, et al.
Publicado: (2017)

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

A Clinical and Experimental Comparison of Time of Flight PET/MRI and PET/CT Systems
por: Oprea-Lager, Daniela E., et al.
Publicado: (2015)

Quantitative implications of the updated EARL 2019 PET–CT performance standards
por: Kaalep, Andres, et al.
Publicado: (2019)

Combatting the effect of image reconstruction settings on lymphoma [(18)F]FDG PET metabolic tumor volume assessment using various segmentation methods
por: Ferrández, Maria C., et al.
Publicado: (2022)

Reply to: FDG PET and PET/CT: EANM procedure guideline for tumour PET imaging
por: Boellaard, Ronald, et al.
Publicado: (2010)

Machine learning-based analysis of [(18)F]DCFPyL PET radiomics for risk stratification in primary prostate cancer
por: Cysouw, Matthijs C. F., et al.
Publicado: (2020)

The feasibility of (11)C‐PIB‐PET/CT for amyloid plaque burden: validation of the effectiveness of CT‐based partial volume correction
por: Sasaki, Kei, et al.
Publicado: (2016)

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)

A novel partial volume correction method for accurate quantification of [(18)F] flortaucipir in the hippocampus
por: Wolters, Emma E., et al.
Publicado: (2018)

Model selection criteria for dynamic brain PET studies
por: Golla, Sandeep S. V., et al.
Publicado: (2017)

FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0
por: Boellaard, Ronald, et al.
Publicado: (2009)

Comparison of biological target volume metrics based on FDG PET-CT and 4DCT for primary non-small-cell lung cancer
por: Zhang, Yingjie, et al.
Publicado: (2017)

The Strategies to Homogenize PET/CT Metrics: The Case of Onco-Haematological Clinical Trials
por: Chauvie, Stephane, et al.
Publicado: (2016)

Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients
por: Weisman, Amy J., et al.
Publicado: (2020)

Diagnostic Value of Volume-Based Fluorine-18-Fluorodeoxyglucose PET/CT Parameters for Characterizing Thyroid Incidentaloma
por: Shi, Huazheng, et al.
Publicado: (2018)

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

Impact of PET/CT system, reconstruction protocol, data analysis method, and repositioning on PET/CT precision: An experimental evaluation using an oncology and brain phantom
por: Mansor, Syahir, et al.
Publicado: (2017)

Sensitivity of an AI method for [(18)F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols
por: Ferrández, Maria C., et al.
Publicado: (2023)

Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia
por: Johnston, Barbara M., et al.
Publicado: (2017)

Optimization and validation of (18)F-DCFPyL PET radiomics-based machine learning models in intermediate- to high-risk primary prostate cancer
por: Luining, Wietske I., et al.
Publicado: (2023)

[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)

Cannot write session to /tmp/vufind_sessions/sess_dcmpa77klcj420egtfc7jr53oh