Literature DB >> 35232879

Principles of Tracer Kinetic Analysis in Oncology, Part I: Principles and Overview of Methodology.

Austin R Pantel1, Varsha Viswanath2, Mark Muzi3, Robert K Doot2, David A Mankoff2.   

Abstract

Learning
Objectives: On successful completion of this activity, participants should be able to describe (1) describe principles of PET tracer kinetic analysis for oncologic applications; (2) list methods used for PET kinetic analysis for oncology; and (3) discuss application of kinetic modeling for cancer-specific diagnostic needs.Financial Disclosure: This work was supported by KL2 TR001879, R01 CA211337, R01 CA113941, R33 CA225310, Komen SAC130060, R50 CA211270, and K01 DA040023. Dr. Pantel is a consultant or advisor for Progenics and Blue Earth Diagnostics and is a meeting participant or lecturer for Blue Earth Diagnostics. Dr. Mankoff is on the scientific advisory boards of GE Healthcare, Philips Healthcare, Reflexion, and ImaginAb and is the owner of Trevarx; his wife is the chief executive officer of Trevarx. The authors of this article have indicated no other relevant relationships that could be perceived as a real or apparent conflict of interest.CME Credit: SNMMI is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to sponsor continuing education for physicians. SNMMI designates each JNM continuing education article for a maximum of 2.0 AMA PRA Category 1 Credits. Physicians should claim only credit commensurate with the extent of their participation in the activity. For CE credit, SAM, and other credit types, participants can access this activity through the SNMMI website (http://www.snmmilearningcenter.org) through March 2025PET enables noninvasive imaging of regional in vivo cancer biology. By engineering a radiotracer to target specific biologic processes of relevance to cancer (e.g., cancer metabolism, blood flow, proliferation, and tumor receptor expression or ligand binding), PET can detect cancer spread, characterize the cancer phenotype, and assess its response to treatment. For example, imaging of glucose metabolism using the radiolabeled glucose analog 18F-FDG has widespread applications to all 3 of these tasks and plays an important role in cancer care. However, the current clinical practice of imaging at a single time point remote from tracer injection (i.e., static imaging) does not use all the information that PET cancer imaging can provide, especially to address questions beyond cancer detection. Reliance on tracer measures obtained only from static imaging may also lead to misleading results. In this 2-part continuing education paper, we describe the principles of tracer kinetic analysis for oncologic PET (part 1), followed by examples of specific implementations of kinetic analysis for cancer PET imaging that highlight the added benefits over static imaging (part 2). This review is designed to introduce nuclear medicine clinicians to basic concepts of kinetic analysis in oncologic imaging, with a goal of illustrating how kinetic analysis can augment our understanding of in vivo cancer biology, improve our approach to clinical decision making, and guide the interpretation of quantitative measures derived from static images.
© 2022 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PET/CT; dynamic imaging; kinetic analysis

Mesh:

Year:  2022        PMID: 35232879      PMCID: PMC8978199          DOI: 10.2967/jnumed.121.263518

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  58 in total

1.  On the undecidability among kinetic models: from model selection to model averaging.

Authors:  Federico E Turkheimer; Rainer Hinz; Vincent J Cunningham
Journal:  J Cereb Blood Flow Metab       Date:  2003-04       Impact factor: 6.200

2.  Comparison of bolus and infusion methods for receptor quantitation: application to [18F]cyclofoxy and positron emission tomography.

Authors:  R E Carson; M A Channing; R G Blasberg; B B Dunn; R M Cohen; K C Rice; P Herscovitch
Journal:  J Cereb Blood Flow Metab       Date:  1993-01       Impact factor: 6.200

3.  In vivo validation of 3'deoxy-3'-[(18)F]fluorothymidine ([(18)F]FLT) as a proliferation imaging tracer in humans: correlation of [(18)F]FLT uptake by positron emission tomography with Ki-67 immunohistochemistry and flow cytometry in human lung tumors.

Authors:  Hubert Vesselle; John Grierson; Mark Muzi; Jeffrey M Pugsley; Rodney A Schmidt; Peter Rabinowitz; Lanell M Peterson; Eric Vallières; Douglas E Wood
Journal:  Clin Cancer Res       Date:  2002-11       Impact factor: 12.531

Review 4.  Total-Body PET: Maximizing Sensitivity to Create New Opportunities for Clinical Research and Patient Care.

Authors:  Simon R Cherry; Terry Jones; Joel S Karp; Jinyi Qi; William W Moses; Ramsey D Badawi
Journal:  J Nucl Med       Date:  2017-09-21       Impact factor: 10.057

5.  Tomographic measurement of local cerebral glucose metabolic rate in humans with (F-18)2-fluoro-2-deoxy-D-glucose: validation of method.

Authors:  M E Phelps; S C Huang; E J Hoffman; C Selin; L Sokoloff; D E Kuhl
Journal:  Ann Neurol       Date:  1979-11       Impact factor: 10.422

6.  Kinetic modeling of 3'-deoxy-3'-fluorothymidine in somatic tumors: mathematical studies.

Authors:  Mark Muzi; David A Mankoff; John R Grierson; Joanne M Wells; Hubert Vesselle; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2005-02       Impact factor: 10.057

7.  Quantitative imaging of estrogen receptor expression in breast cancer with PET and 18F-fluoroestradiol.

Authors:  Lanell M Peterson; David A Mankoff; Thomas Lawton; Kevin Yagle; Erin K Schubert; Svetlana Stekhova; Allen Gown; Jeanne M Link; Timothy Tewson; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2008-02-20       Impact factor: 10.057

8.  2-[C-11]thymidine imaging of malignant brain tumors.

Authors:  J F Eary; D A Mankoff; A M Spence; M S Berger; A Olshen; J M Link; F O'Sullivan; K A Krohn
Journal:  Cancer Res       Date:  1999-02-01       Impact factor: 12.701

9.  Glucose metabolic rate kinetic model parameter determination in humans: the lumped constants and rate constants for [18F]fluorodeoxyglucose and [11C]deoxyglucose.

Authors:  M Reivich; A Alavi; A Wolf; J Fowler; J Russell; C Arnett; R R MacGregor; C Y Shiue; H Atkins; A Anand
Journal:  J Cereb Blood Flow Metab       Date:  1985-06       Impact factor: 6.200

10.  Errors introduced by tissue heterogeneity in estimation of local cerebral glucose utilization with current kinetic models of the [18F]fluorodeoxyglucose method.

Authors:  K Schmidt; G Lucignani; R M Moresco; G Rizzo; M C Gilardi; C Messa; F Colombo; F Fazio; L Sokoloff
Journal:  J Cereb Blood Flow Metab       Date:  1992-09       Impact factor: 6.200

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  1 in total

1.  Principles of Tracer Kinetic Analysis in Oncology, Part II: Examples and Future Directions.

Authors:  Austin R Pantel; Varsha Viswanath; Mark Muzi; Robert K Doot; David A Mankoff
Journal:  J Nucl Med       Date:  2022-04       Impact factor: 11.082

  1 in total

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