Literature DB >> 32430580

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

Antonia Dimitrakopoulou-Strauss1, Leyun Pan2, Christos Sachpekidis2.   

Abstract

Dynamic PET (dPET) studies have been used until now primarily within research purposes. Although it is generally accepted that the information provided by dPET is superior to that of conventional static PET acquisitions acquired usually 60 min post injection of the radiotracer, the duration of dynamic protocols, the limited axial field of view (FOV) of current generation clinical PET systems covering a relatively small axial extent of the human body for a dynamic measurement, and the complexity of data evaluation have hampered its implementation into clinical routine. However, the development of new-generation PET/CT scanners with an extended FOV as well as of more sophisticated evaluation software packages that offer better segmentation algorithms, automatic retrieval of the arterial input function, and automatic calculation of parametric imaging, in combination with dedicated shorter dynamic protocols, will facilitate the wider use of dPET. This is expected to aid in oncological diagnostics and therapy assessment. The aim of this review is to present some general considerations about dPET analysis in oncology by means of kinetic modeling, based on compartmental and noncompartmental approaches, and parametric imaging. Moreover, the current clinical applications and future perspectives of the modality are outlined.

Entities:  

Keywords:  Dynamic PET; Feature extraction; Kinetic modeling; Oncology; Parametric imaging

Year:  2020        PMID: 32430580      PMCID: PMC7835173          DOI: 10.1007/s00259-020-04843-6

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  100 in total

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3.  First Human Imaging Studies with the EXPLORER Total-Body PET Scanner.

Authors:  Ramsey D Badawi; Hongcheng Shi; Pengcheng Hu; Shuguang Chen; Tianyi Xu; Patricia M Price; Yu Ding; Benjamin A Spencer; Lorenzo Nardo; Weiping Liu; Jun Bao; Terry Jones; Hongdi Li; Simon R Cherry
Journal:  J Nucl Med       Date:  2019-02-07       Impact factor: 10.057

Review 4.  Monitoring of patients with metastatic melanoma treated with immune checkpoint inhibitors using PET-CT.

Authors:  Antonia Dimitrakopoulou-Strauss
Journal:  Cancer Immunol Immunother       Date:  2018-08-19       Impact factor: 6.968

Review 5.  PET-based molecular imaging in personalized oncology: potential of the assessment of therapeutic outcome.

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Journal:  Future Oncol       Date:  2015       Impact factor: 3.404

6.  Pharmacokinetic Analysis of Dynamic 18F-Fluoromisonidazole PET Data in Non-Small Cell Lung Cancer.

Authors:  Jazmin Schwartz; Milan Grkovski; Andreas Rimner; Heiko Schöder; Pat B Zanzonico; Sean D Carlin; Kevin D Staton; John L Humm; Sadek A Nehmeh
Journal:  J Nucl Med       Date:  2017-02-23       Impact factor: 10.057

7.  Treatment response evaluation with 18F-FDG PET/CT and 18F-NaF PET/CT in multiple myeloma patients undergoing high-dose chemotherapy and autologous stem cell transplantation.

Authors:  Christos Sachpekidis; J Hillengass; H Goldschmidt; B Wagner; U Haberkorn; K Kopka; A Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-08-29       Impact factor: 9.236

8.  Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation.

Authors:  Nicolas A Karakatsanis; Martin A Lodge; Y Zhou; Richard L Wahl; Arman Rahmim
Journal:  Phys Med Biol       Date:  2013-09-30       Impact factor: 3.609

9.  Total-Body Dynamic Reconstruction and Parametric Imaging on the uEXPLORER.

Authors:  Xuezhu Zhang; Zhaoheng Xie; Eric Berg; Martin S Judenhofer; Weiping Liu; Tianyi Xu; Yu Ding; Yang Lv; Yun Dong; Zilin Deng; Songsong Tang; Hongcheng Shi; Pengcheng Hu; Shuguang Chen; Jun Bao; Hongdi Li; Jian Zhou; Guobao Wang; Simon R Cherry; Ramsey D Badawi; Jinyi Qi
Journal:  J Nucl Med       Date:  2019-07-13       Impact factor: 10.057

10.  Dynamic FDG-PET/CT in the Initial Staging of Primary Breast Cancer: Clinicopathological Correlations.

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Journal:  Pathol Oncol Res       Date:  2019-04-03       Impact factor: 3.201

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2.  Synthetic 18F-FDG PET Image Generation Using a Combination of Biomathematical Modeling and Machine Learning.

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3.  First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-01-04       Impact factor: 10.057

4.  Quantifying bias and precision of kinetic parameter estimation on the PennPET Explorer, a long axial field-of-view scanner.

Authors:  Varsha Viswanath; Austin R Pantel; Margaret E Daube-Witherspoon; Robert Doot; Mark Muzi; David A Mankoff; Joel S Karp
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-09-02

Review 5.  Analysis of Four-Dimensional Data for Total Body PET Imaging.

Authors:  Varsha Viswanath; Rhea Chitalia; Austin R Pantel; Joel S Karp; David A Mankoff
Journal:  PET Clin       Date:  2021-01

Review 6.  Pitfalls on PET/CT Due to Artifacts and Instrumentation.

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Journal:  Semin Nucl Med       Date:  2021-07-07       Impact factor: 4.446

7.  Dynamic 68Ga-DOTATATE PET/MRI in the Diagnosis and Management of Intracranial Meningiomas.

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Journal:  Radiol Imaging Cancer       Date:  2022-03

Review 8.  Total-Body PET Kinetic Modeling and Potential Opportunities Using Deep Learning.

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9.  Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function.

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10.  Positron emission tomography and magnetic resonance imaging in primary central nervous system lymphoma-a narrative review.

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