NDLI: Factor analysis and kinetic modeling for PET: are they relevant for clinical applications?

Content Provider	IEEE Xplore Digital Library
Author	Schiepers, C. Sung-Cheng Huang Dahlbom, M.
Copyright Year	2007
Description	Author affiliation: Univ. of California, Los Angeles (Schiepers, C.; Sung-Cheng Huang; Dahlbom, M.)
Abstract	Anatomic and functional aspects of biologic processes are studied with multi-modality imaging. PET can perform this in-vivo and almost real-time. The dynamics and kinetics of new drugs, their optimal dose and individual response need to be determined. In human cancer, non-responders to therapy need to be separated from responders, and patients surveyed to detect recurrence. We explored the potential of factor analysis (FA) by extracting vessels and tissues from the dynamic images. With thresholding techniques a volume-of-interest (VOI) is delineated and regional blood clearance (input function) and tissue uptake (output function) measured. kinetic modeling (KM) estimates the rate constants between compartments representing the underlying biologic pathways. Tracers used were: $^{11}C-acetate,$ $^{13}N-ammonia,$ $^{18}F-fluoride,$ $^{18}F-$ FDOPA, $^{18}F-FLT$ and $^{18}F-FDG.$ Dynamic studies were acquired with high temporal sampling during the first 2 minutes, decreasing over the next phase to 5 min frames. Total image acquisition varied from 20-75 min dependent on tracer and organ investigated. Breast and prostate cancer, brain tumor, myocardial perfusion, and osteoporosis were evaluated. FA was successful in all cases and produced clear parametric images. Accurate input functions could be derived for all situations. Tissue or tumor uptake can be low and images noisy, yielding sub-optimal output functions. Comparison of the FA input function to plasma blood samples in breast cancer showed excellent concordance. KM provided rate constants that did not reveal significant differences between input curves from blood samples vs FA derived. KM may help elucidating the metabolic pathways, e.g. $^{18}F-FDOPA$ revealed a different mechanism for tumor than striatum. $^{11}C-acetate$ kinetics in prostate cancer differ completely from those in myocardium. $^{18}F-FLT$ uptake reflects cell proliferation and shows the greatest decrease within 1 week after treatment in responders. Our procedure is automated and virtually user independent; this processing tool facilitates PET as a reproducible quantification method in routine clinical applications.
Starting Page	3273
Ending Page	3276
File Size	118725
Page Count	4
File Format	PDF
ISBN	9781424409228
ISSN	10957863
DOI	10.1109/NSSMIC.2007.4436836
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kinetic theory Positron emission tomography Blood Breast neoplasms Biological system modeling Prostate cancer Myocardium Drugs Humans Medical treatment
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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