Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives

Dimitrakopoulou-Strauß, Antonia; Pan, Leyun; Sachpekidis, Christos

doi:10.1007/s00259-020-04843-6

Cited by 130 publications

(125 citation statements)

References 90 publications

Supporting

Mentioning

123

Contrasting

Unclassified

Order By: Relevance

“…Although it is expected that any kinetic model or graphical analysis method would benefit from the use of a long AFOV system, the degree of improvement in accuracy and precision cannot be directly inferred from the findings of this study, as each method is characterized by a different level of robustness to noise. Additionally, there are organs, most commonly the liver, with nonzero k 4 when imaging with FDG and alternative modeling approaches may be necessary when k 4 is positive [52]. However, the TACs that were used to embed the spheres were generated using a two-tissue-compartment model with k 4 = 0.…”

Section: Discussionmentioning

confidence: 99%

Quantifying Bias and Precision of Kinetic Parameter Estimation on the PennPET Explorer, a Long Axial Field-of-View Scanner

Viswanath

Pantel

Daube-Witherspoon

et al. 2020

IEEE Trans. Radiat. Plasma Med. Sci.

View full text Add to dashboard Cite

Long axial field-of-view (AFOV) PET scanners allow for full-body dynamic imaging in a single bed-position at very high sensitivity. However, the benefits for kinetic parameter estimation have yet to be studied. This work uses 1) a dynamic Geant4 Application for Tomographic Emission (GATE) simulation of [ 18 F]-fluorothymidine (FLT) in a modified NEMA IQ phantom and 2) a lesion embedding study of spheres in a dynamic [ 18 F]-fluorodeoxyglucose (FDG) human subject imaged on the PennPET Explorer. Both studies were designed using published kinetic data of lung and liver cancers and modeled using two tissue compartments. Data were reconstructed at various emulated doses. Sphere time-activity curves (TACs) were measured on resulting dynamic images, and TACs were fit using a twotissue-compartment model (k 4 = 0) for the FLT study and both a two-tissue-compartment model (k 4 = 0) and Patlak graphical analysis for the FDG study to estimate flux (K i) and delivery (K 1) parameters. Quantification of flux and K 1 shows lower bias and better precision for both radiotracers on the long AFOV scanner, especially at low doses. Dynamic imaging on a long AFOV system can be achieved for a greater range of injected doses, as low as 0.5-2 mCi depending on the sphere size and flux, compared to a standard AFOV scanner, while maintaining good kinetic parameter estimation. Index Terms-Dynamic imaging, fluorodeoxyglucose (FDG), fluorothymidine (FLT), Geant4 Application for Tomographic Emission (GATE) simulations, lesion embedding, long axial field of view PET, PennPET explorer. I. INTRODUCTION D YNAMIC PET imaging offers biologic information beyond what is available from static images. When analyzed within the context of a two-tissue-compartment model, parameters of biologic relevance can be quantified, such as Manuscript

show abstract

Section: Discussionmentioning

confidence: 99%

Quantifying Bias and Precision of Kinetic Parameter Estimation on the PennPET Explorer, a Long Axial Field-of-View Scanner

Viswanath

Pantel

Daube-Witherspoon

et al. 2020

IEEE Trans. Radiat. Plasma Med. Sci.

View full text Add to dashboard Cite

show abstract

“…The potential of kinetic quantification in clinical oncology and neurology imaging have also been widely investigated, though not routinely applied in clinical practice yet. The readers are referred to the specific review articles [4], [61]. Section III discusses some relevant emerging opportunities.…”

Section: ) Motion Correctionmentioning

confidence: 99%

PET Parametric Imaging: Past, Present, and Future

Wang

Rahmim

Gunn

2020

IEEE Trans. Radiat. Plasma Med. Sci.

View full text Add to dashboard Cite

Positron emission tomography (PET) is actively used in a diverse range of applications in oncology, cardiology, and neurology. The use of PET in the clinical setting focuses on static (single time frame) imaging at a specific time-point post radiotracer injection and is typically considered as semi-quantitative; e.g., standardized uptake value (SUV) measures. In contrast, dynamic PET imaging requires increased acquisition times but has the advantage that it measures the full spatiotemporal distribution of a radiotracer and, in combination with tracer kinetic modeling, enables the generation of multiparametric images that more directly quantify underlying biological parameters of interest, such as blood flow, glucose metabolism, and receptor binding. Parametric images have the potential for improved detection and for more accurate and earlier therapeutic response assessment. Parametric imaging with dynamic PET has witnessed extensive research in the past four decades. In this article, we provide an overview of past and present activities and discuss emerging opportunities in the field of parametric imaging for the future.

show abstract

“…Noise in the time-activity curves (TACs) and, in particular, inappropriate input (TACs) have an impact on the assessed rates. A robust solution to overcome these problems has been published by a group, based on machine learning approaches and a large oncological reference database [31,33].…”

Section: Pet/ct Data Analysismentioning

confidence: 99%

Can 18F-NaF PET/CT before Autologous Stem Cell Transplantation Predict Survival in Multiple Myeloma?

Sachpekidis

Kopp‐Schneider

Merz

et al. 2020

Cancers

Self Cite

View full text Add to dashboard Cite

There is an unmet need for positron emission tomography (PET) radiotracers that can image bone disease in multiple myeloma (MM) in a more sensitive and specific way than the widely used 18F-fluorodeoxyglucose (18F-FDG). Sodium fluoride (18F-NaF) is a highly sensitive tracer of bone reconstruction, evolving as an important imaging agent for the assessment of malignant bone diseases. We attempted to investigate for the first time the prognostic significance of 18F-NaF PET/CT in newly diagnosed, symptomatic MM patients planned for autologous stem cell transplantation (ASCT). Forty-seven patients underwent dynamic and static PET/CT with 18F-NaF before treatment. After correlation with the respective findings on CT and 18F-FDG PET/CT that served as reference, the 18F-NaF PET findings were compared with established factors of high-risk disease, like cytogenetic abnormalities as well as bone marrow plasma cell infiltration rate. Furthermore, the impact of 18F-NaF PET/CT on progression-free survival (PFS) was analyzed. Correlation analysis revealed a moderate, significant correlation of the 18F-NaF parameters SUVaverage and K1 in reference tissue with bone marrow plasma cell infiltration rate. However, no significant correlation was observed regarding all other 18F-NaF PET parameters. Survival analysis revealed that patients with a pathologic 18F-NaF PET/CT have a shorter PFS (median = 36.2 months) than those with a physiologic scan (median = 55.6 months) (p = 0.02). Nevertheless, no quantitative 18F-NaF parameter could be shown to adversely affect PFS. In contrast, the respective analysis for quantitative dynamic 18F-FDG PET/CT revealed that the parameters SUVmax, fractional blood volume (VB), k3 and influx from reference tissue as well as SUVaverage from MM lesions had a significant negative impact on patient survival. The herein presented findings highlight the rather limited role of 18F-NaF PET/CT as a single PET approach in MM.

show abstract

Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives

Cited by 130 publications

References 90 publications

Quantifying Bias and Precision of Kinetic Parameter Estimation on the PennPET Explorer, a Long Axial Field-of-View Scanner

Quantifying Bias and Precision of Kinetic Parameter Estimation on the PennPET Explorer, a Long Axial Field-of-View Scanner

PET Parametric Imaging: Past, Present, and Future

Can 18F-NaF PET/CT before Autologous Stem Cell Transplantation Predict Survival in Multiple Myeloma?

Contact Info

Product

Resources

About