ArticleAcademic radiology2019
Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI.
Article in Academic radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Intra-voxel incoherent motion biomarker repeatability in healthy volunteers and sensitivity to chemoradiotherapy-induced changes in patients with uterine cervical cancer.Frontiers in oncology · 2025Article
- Oxygen-Enhanced MRI Detects Incidence, Onset, and Heterogeneity of Radiation-Induced Hypoxia Modification in HPV-Associated Oropharyngeal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons.Scientific data · 2024Article
- A Technique to Enable Efficient Adaptive Radiation Therapy: Automated Contouring of Prostate and Adjacent Organs.Advances in radiation oncology · 2024Article
- Parametric maps of spatial two-tissue compartment model for prostate dynamic contrast enhanced MRI - comparison with the standard tofts model in the diagnosis of prostate cancer.Physical and engineering sciences in medicine · 2023Article
- The arterial input function: Spatial dependence within the imaging volume and its influence on 3D quantitative dynamic contrast-enhanced MRI for head and neck cancer.Magnetic resonance imaging · 2023Article
- Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI.Journal of digital imaging · 2022Article
- Bridging the macro to micro resolution gap with angiographic optical coherence tomography and dynamic contrast enhanced MRI.Scientific reports · 2022Article
- Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis.Entropy (Basel, Switzerland) · 2022Article
- Quantitative Imaging Informatics for Cancer Research.JCO clinical cancer informatics · 2020Article
- Quantitative DCE Dynamics on Transformed MR Imaging Discriminates Clinically Significant Prostate Cancer.Cancer control : journal of the Moffitt Cancer CenterArticle
- Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
RATIONALE AND
objectivesAnalysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging is notable for the variability of calculated parameters. The purpose of this study was to evaluate the level of measurement variability and error/variability due to modeling in DCE magnetic resonance imaging parameters. MATERIALS AND
methodsTwo prostate DCE scans were performed on 11 treatment-naïve patients with suspected or confirmed prostate peripheral zone cancer within an interval of less than two weeks. Tumor-suspicious and normal-appearing regions of interest (ROI) in the prostate peripheral zone were segmented. Different Tofts-Kety based models and different arterial input functions, with and without bolus arrival time (BAT) correction, were used to extract pharmacokinetic parameters. The percent repeatability coefficient (%RC) of fitted model parameters K
resultsAlthough goodness-of-fit criteria favored the four-parameter extended Tofts-Kety model with the BAT correction included, the simplest two-parameter Tofts-Kety model overall yielded the best repeatability scores. The best %RC in the tumor-suspicious ROI was 63% for k
conclusionThe parameter k
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Registered trials
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