ArticleJournal of magnetic resonance imaging : JMRI2018
Dynamic contrast-enhanced MRI of the patellar bone: How to quantify perfusion.
Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Assessment of humeral head perfusion after proximal humeral fracture - study protocol for evaluation of MR-based imaging techniques.Journal of orthopaedic surgery and research · 2025Article
- Advanced Magnetic Resonance Imaging and Molecular Imaging of the Painful Knee.Seminars in musculoskeletal radiology · 2023Review
- Femoral Head Vascularity After Arthroscopic Femoral Osteochondroplasty: An In Vivo Dynamic Contrast-Enhanced MRI Study.Orthopaedic journal of sports medicine · 2022Article
- ICG-based dynamic contrast-enhanced fluorescence imaging guided open orthopaedic surgery: pilot patient study.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Quantitative volume and dynamic contrast-enhanced MRI derived perfusion of the infrapatellar fat pad in patellofemoral pain.Quantitative imaging in medicine and surgery · 2021Article
- Quantitative DCE-MRI demonstrates increased blood perfusion in Hoffa's fat pad signal abnormalities in knee osteoarthritis, but not in patellofemoral pain.European radiology · 2020Article
- Patellofemoral alignment and geometry and early signs of osteoarthritis are associated in patellofemoral pain population.Scandinavian journal of medicine & science in sports · 2020Article
- Blood perfusion of patellar bone measured by dynamic contrast-enhanced MRI in patients with patellofemoral pain: A case-control study.Journal of magnetic resonance imaging : JMRI · 2018Article
- Dynamic contrast-enhanced fluorescence imaging compared with MR imaging in evaluating bone perfusion during open orthopedic surgery.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo identify the optimal combination of pharmacokinetic model and arterial input function (AIF) for quantitative analysis of blood perfusion in the patellar bone using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND
methodsThis method design study used a random subset of five control subjects from an Institutional Review Board (IRB)-approved case-control study into patellofemoral pain, scanned on a 3T MR system with a contrast-enhanced time-resolved imaging of contrast kinetics (TRICKS) sequence. We systematically investigated the reproducibility of pharmacokinetic parameters for all combinations of Orton and Parker AIF models with Tofts, Extended Tofts (ETofts), and Brix pharmacokinetic models. Furthermore, we evaluated if the AIF should use literature parameters, be subject-specific, or group-specific. Model selection was based on the goodness-of-fit and the coefficient of variation of the pharmacokinetic parameters inside the patella. This extends previous studies that were not focused on the patella and did not evaluate as many combinations of arterial and pharmacokinetic models.
resultsThe vascular component in the ETofts model could not reliably be recovered (coefficient of variation [CV] of v
conclusionWe identified several good combinations of pharmacokinetic models and AIF for quantitative analysis of perfusion in the patellar bone. The recommended combination is Tofts pharmacokinetic model combined with a group-specific Parker AIF model. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:848-858.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.