Human [123I]5-I-A-85380 dynamic SPECT studies in normals: Kinetic analysis and parametric imaging

Yun Zhou, James R Brasic, John L. Musachio, Stephen R. Zukin, Hiroto Kuwabara, Andrew Crabb, Christopher J. Endres, John Hilton, Hong Fan, Dean Foster Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

[123I]5-I-A-85380 ([123I]5-IA) is a ligand specific for the α4β2 nicotinic acetylcholine receptor (nAChR) subtype. It was reported that distribution volume (DV) is an appropriate measurement for α4β2 nAChR density in baboon [123I]5-IA dynamic SPECT studies. To evaluate the kinetics obtained from human [123I]5-IA dynamic SPECT, three different methods were applied to region of interest (ROI) kinetics analysis as folows: A: a 2-compartment 3-parameters model, B: 3-compartment 5-parameter model, and C: same model as in B but fitting with a constraint of ratio of K1/k2e estimated by fitting occipital kinetics to model in A. The DV was estimated as DV = K1/k2 for A, and DV=(K1/k2)(1+k3/k4) for B and C. Nonlinear least squares fitting using Marquardt algorithm was performed for A-C. Akaike information criterion (AIC) and R2 were used for evaluation of fitting results. A linear parametric imaging algorithm derived from model in method A was used for generating images of K1 and DV. Four normal human [123I]5-IA dynamic studies were evaluated by A-C. In each study, after a bolus of [123I]5-IA (5∼10 mCi, specific activity>10 Ci/umol) was injected intravenously, a dynamic scanning with 20 acquisitions over 6 hour was started immediately on a Trionix TriadXLT scanner. 30-40 arterial plasma samples were taken during the study and HPLC was performed to determine the metabolite-corrected arterial plasma radioactivity as input function. The ROI regions (cerebellum, frontal cortex, occipital cortex, pones, and thalamus) were drawn on co-registered MRI images. Results show that A fits to all ROI kinetics very well (R2>0.99), and paired T-test for AIC showed there is no statistical significantly improvement of model fitting from B, C methods The K1 and DV images are of good image quality. Conclusion: A is best for ROI kinetic analysis and parametric imaging for DV and K1.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
Pages1335-1340
Number of pages6
Volume3
StatePublished - 2001
Event2001 IEEE Nuclear Science Symposium Conference Record - San Diego, CA, United States
Duration: Nov 4 2001Nov 10 2001

Other

Other2001 IEEE Nuclear Science Symposium Conference Record
CountryUnited States
CitySan Diego, CA
Period11/4/0111/10/01

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Imaging techniques
Kinetics
Plasmas
Radioactivity
Metabolites
Magnetic resonance imaging
Image quality
Ligands
Scanning

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Zhou, Y., Brasic, J. R., Musachio, J. L., Zukin, S. R., Kuwabara, H., Crabb, A., ... Wong, D. F. (2001). Human [123I]5-I-A-85380 dynamic SPECT studies in normals: Kinetic analysis and parametric imaging. In IEEE Nuclear Science Symposium and Medical Imaging Conference (Vol. 3, pp. 1335-1340)

Human [123I]5-I-A-85380 dynamic SPECT studies in normals : Kinetic analysis and parametric imaging. / Zhou, Yun; Brasic, James R; Musachio, John L.; Zukin, Stephen R.; Kuwabara, Hiroto; Crabb, Andrew; Endres, Christopher J.; Hilton, John; Fan, Hong; Wong, Dean Foster.

IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3 2001. p. 1335-1340.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhou, Y, Brasic, JR, Musachio, JL, Zukin, SR, Kuwabara, H, Crabb, A, Endres, CJ, Hilton, J, Fan, H & Wong, DF 2001, Human [123I]5-I-A-85380 dynamic SPECT studies in normals: Kinetic analysis and parametric imaging. in IEEE Nuclear Science Symposium and Medical Imaging Conference. vol. 3, pp. 1335-1340, 2001 IEEE Nuclear Science Symposium Conference Record, San Diego, CA, United States, 11/4/01.
Zhou Y, Brasic JR, Musachio JL, Zukin SR, Kuwabara H, Crabb A et al. Human [123I]5-I-A-85380 dynamic SPECT studies in normals: Kinetic analysis and parametric imaging. In IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3. 2001. p. 1335-1340
Zhou, Yun ; Brasic, James R ; Musachio, John L. ; Zukin, Stephen R. ; Kuwabara, Hiroto ; Crabb, Andrew ; Endres, Christopher J. ; Hilton, John ; Fan, Hong ; Wong, Dean Foster. / Human [123I]5-I-A-85380 dynamic SPECT studies in normals : Kinetic analysis and parametric imaging. IEEE Nuclear Science Symposium and Medical Imaging Conference. Vol. 3 2001. pp. 1335-1340
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title = "Human [123I]5-I-A-85380 dynamic SPECT studies in normals: Kinetic analysis and parametric imaging",
abstract = "[123I]5-I-A-85380 ([123I]5-IA) is a ligand specific for the α4β2 nicotinic acetylcholine receptor (nAChR) subtype. It was reported that distribution volume (DV) is an appropriate measurement for α4β2 nAChR density in baboon [123I]5-IA dynamic SPECT studies. To evaluate the kinetics obtained from human [123I]5-IA dynamic SPECT, three different methods were applied to region of interest (ROI) kinetics analysis as folows: A: a 2-compartment 3-parameters model, B: 3-compartment 5-parameter model, and C: same model as in B but fitting with a constraint of ratio of K1/k2e estimated by fitting occipital kinetics to model in A. The DV was estimated as DV = K1/k2 for A, and DV=(K1/k2)(1+k3/k4) for B and C. Nonlinear least squares fitting using Marquardt algorithm was performed for A-C. Akaike information criterion (AIC) and R2 were used for evaluation of fitting results. A linear parametric imaging algorithm derived from model in method A was used for generating images of K1 and DV. Four normal human [123I]5-IA dynamic studies were evaluated by A-C. In each study, after a bolus of [123I]5-IA (5∼10 mCi, specific activity>10 Ci/umol) was injected intravenously, a dynamic scanning with 20 acquisitions over 6 hour was started immediately on a Trionix TriadXLT scanner. 30-40 arterial plasma samples were taken during the study and HPLC was performed to determine the metabolite-corrected arterial plasma radioactivity as input function. The ROI regions (cerebellum, frontal cortex, occipital cortex, pones, and thalamus) were drawn on co-registered MRI images. Results show that A fits to all ROI kinetics very well (R2>0.99), and paired T-test for AIC showed there is no statistical significantly improvement of model fitting from B, C methods The K1 and DV images are of good image quality. Conclusion: A is best for ROI kinetic analysis and parametric imaging for DV and K1.",
author = "Yun Zhou and Brasic, {James R} and Musachio, {John L.} and Zukin, {Stephen R.} and Hiroto Kuwabara and Andrew Crabb and Endres, {Christopher J.} and John Hilton and Hong Fan and Wong, {Dean Foster}",
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AU - Zukin, Stephen R.

AU - Kuwabara, Hiroto

AU - Crabb, Andrew

AU - Endres, Christopher J.

AU - Hilton, John

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N2 - [123I]5-I-A-85380 ([123I]5-IA) is a ligand specific for the α4β2 nicotinic acetylcholine receptor (nAChR) subtype. It was reported that distribution volume (DV) is an appropriate measurement for α4β2 nAChR density in baboon [123I]5-IA dynamic SPECT studies. To evaluate the kinetics obtained from human [123I]5-IA dynamic SPECT, three different methods were applied to region of interest (ROI) kinetics analysis as folows: A: a 2-compartment 3-parameters model, B: 3-compartment 5-parameter model, and C: same model as in B but fitting with a constraint of ratio of K1/k2e estimated by fitting occipital kinetics to model in A. The DV was estimated as DV = K1/k2 for A, and DV=(K1/k2)(1+k3/k4) for B and C. Nonlinear least squares fitting using Marquardt algorithm was performed for A-C. Akaike information criterion (AIC) and R2 were used for evaluation of fitting results. A linear parametric imaging algorithm derived from model in method A was used for generating images of K1 and DV. Four normal human [123I]5-IA dynamic studies were evaluated by A-C. In each study, after a bolus of [123I]5-IA (5∼10 mCi, specific activity>10 Ci/umol) was injected intravenously, a dynamic scanning with 20 acquisitions over 6 hour was started immediately on a Trionix TriadXLT scanner. 30-40 arterial plasma samples were taken during the study and HPLC was performed to determine the metabolite-corrected arterial plasma radioactivity as input function. The ROI regions (cerebellum, frontal cortex, occipital cortex, pones, and thalamus) were drawn on co-registered MRI images. Results show that A fits to all ROI kinetics very well (R2>0.99), and paired T-test for AIC showed there is no statistical significantly improvement of model fitting from B, C methods The K1 and DV images are of good image quality. Conclusion: A is best for ROI kinetic analysis and parametric imaging for DV and K1.

AB - [123I]5-I-A-85380 ([123I]5-IA) is a ligand specific for the α4β2 nicotinic acetylcholine receptor (nAChR) subtype. It was reported that distribution volume (DV) is an appropriate measurement for α4β2 nAChR density in baboon [123I]5-IA dynamic SPECT studies. To evaluate the kinetics obtained from human [123I]5-IA dynamic SPECT, three different methods were applied to region of interest (ROI) kinetics analysis as folows: A: a 2-compartment 3-parameters model, B: 3-compartment 5-parameter model, and C: same model as in B but fitting with a constraint of ratio of K1/k2e estimated by fitting occipital kinetics to model in A. The DV was estimated as DV = K1/k2 for A, and DV=(K1/k2)(1+k3/k4) for B and C. Nonlinear least squares fitting using Marquardt algorithm was performed for A-C. Akaike information criterion (AIC) and R2 were used for evaluation of fitting results. A linear parametric imaging algorithm derived from model in method A was used for generating images of K1 and DV. Four normal human [123I]5-IA dynamic studies were evaluated by A-C. In each study, after a bolus of [123I]5-IA (5∼10 mCi, specific activity>10 Ci/umol) was injected intravenously, a dynamic scanning with 20 acquisitions over 6 hour was started immediately on a Trionix TriadXLT scanner. 30-40 arterial plasma samples were taken during the study and HPLC was performed to determine the metabolite-corrected arterial plasma radioactivity as input function. The ROI regions (cerebellum, frontal cortex, occipital cortex, pones, and thalamus) were drawn on co-registered MRI images. Results show that A fits to all ROI kinetics very well (R2>0.99), and paired T-test for AIC showed there is no statistical significantly improvement of model fitting from B, C methods The K1 and DV images are of good image quality. Conclusion: A is best for ROI kinetic analysis and parametric imaging for DV and K1.

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