Minimally invasive input function for 2-18F-fluoro-A-85380 brain PET studies

PurposeQuantitative neuroreceptor positron emission tomography (PET) studies often require arterial cannulation to measure input function. While population-based input function (PBIF) would be a less invasive alternative, it has only rarely been used in conjunction with neuroreceptor PET tracers. The aims of this study were (1) to validate the use of PBIF for 2-18F-fluoro-A-85380, a tracer for nicotinic receptors; (2) to compare the accuracy of measures obtained via PBIF to those obtained via blood-scaled image-derived input function (IDIF) from carotid arteries; and (3) to explore the possibility of using venous instead of arterial samples for both PBIF and IDIF.MethodsTen healthy volunteers underwent a dynamic 2-18F-fluoro-A-85380 brain PET scan with arterial and, in seven subjects, concurrent venous serial blood sampling. PBIF was obtained by averaging the normalized metabolite-corrected arterial input function and subsequently scaling each curve with individual blood samples. IDIF was obtained from the carotid arteries using a blood-scaling method. Estimated Logan distribution volume (VT) values were compared to the reference values obtained from arterial cannulation.ResultsFor all subjects, PBIF curves scaled with arterial samples were similar in shape and magnitude to the reference arterial input function. The Logan VT ratio was 1.00 ± 0.05; all subjects had an estimation error <10%. IDIF gave slightly less accurate results (VT ratio 1.03 ± 0.07; eight of ten subjects had an error <10%). PBIF scaled with venous samples yielded inaccurate results (VT ratio 1.13 ± 0.13; only three of seven subjects had an error <10%). Due to arteriovenous differences at early time points, IDIF could not be calculated using venous samples.ConclusionPBIF scaled with arterial samples accurately estimates Logan VT for 2-18F-fluoro-A-85380. Results obtained with PBIF were slightly better than those obtained with IDIF. Due to arteriovenous concentration differences, venous samples cannot be substituted for arterial samples.

[1]  Jeih-San Liow,et al.  Image-Derived Input Function for Human Brain Using High Resolution PET Imaging with [11C](R)-rolipram and [11C]PBR28 , 2011, PloS one.

[2]  Nelleke Tolboom,et al.  Image-derived input functions for PET brain studies , 2009, European Journal of Nuclear Medicine and Molecular Imaging.

[3]  Y Yonekura,et al.  Noninvasive estimation of FDG input function for quantification of cerebral metabolic rate of glucose: optimization and multicenter evaluation. , 2000, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[4]  V. Dhawan,et al.  Input functions for 6-[fluorine-18]fluorodopa quantitation in parkinsonism: comparative studies and clinical correlations. , 1994, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[5]  C Nahmias,et al.  Regions of interest in the venous sinuses as input functions for quantitative PET. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[6]  Li Yao,et al.  An automated normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display , 2006, SPIE Medical Imaging.

[7]  Philippe Hantraye,et al.  Decrease of Nicotinic Receptors in the Nigrostriatal System in Parkinson's Disease , 2009, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[8]  Claude Comtat,et al.  Comparison of 3 Methods of Automated Internal Carotid Segmentation in Human Brain PET Studies: Application to the Estimation of Arterial Input Function , 2009, Journal of Nuclear Medicine.

[9]  Stefan Eberl,et al.  Evaluation of two population-based input functions for quantitative neurological FDG PET studies , 1997, European Journal of Nuclear Medicine.

[10]  M. Hori,et al.  Evaluation of the use of a standard input function for compartment analysis of [123I]iomazenil data: Factors influencing the quantitative results , 2004, Annals of nuclear medicine.

[11]  Philipp T. Meyer,et al.  Simplified quantification of small animal [18F]FDG PET studies using a standard arterial input function , 2006, European Journal of Nuclear Medicine and Molecular Imaging.

[12]  G. Alexander,et al.  A preliminary fluorodeoxyglucose positron emission tomography study in healthy adults reporting dream-enactment behavior. , 2006, Sleep.

[13]  Masahiro Fujita,et al.  Kinetic analysis in human brain of [11C](R)-rolipram, a positron emission tomographic radioligand to image phosphodiesterase 4: A retest study and use of an image-derived input function , 2011, NeuroImage.

[14]  A. Hufnagel,et al.  Alteration of the in vivo nicotinic receptor density in ADNFLE patients: a PET study. , 2006, Brain : a journal of neurology.

[15]  N. Sadato,et al.  Noninvasive measurement of cerebral metabolic rate of glucose using standardized input function. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[16]  P. Price,et al.  Glucose metabolism in brain tumours can be estimated using [18F]2-fluorodeoxyglucose positron emission tomography and a population-derived input function scaled using a single arterialised venous blood sample. , 2005, International journal of oncology.

[17]  G. Savage,et al.  Relationship between nicotinic receptors and cognitive function in early Alzheimer’s disease: A 2-[18F]fluoro-A-85380 PET study , 2008, Neurobiology of Learning and Memory.

[18]  Yukito Shinohara,et al.  Quantitative PET cerebral glucose metabolism estimates using a single non-arterialized venous-blood sample , 2004, Annals of nuclear medicine.

[19]  R. Parsey,et al.  Simultaneous Estimation of Input Functions: An Empirical Study , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[20]  Mark Lubberink,et al.  Venous versus arterial blood samples for plasma input pharmacokinetic analysis of different radiotracer PET studies , 2011 .

[21]  Iwao Kanno,et al.  A method to quantitate cerebral blood flow using a rotating gamma camera and iodine-123 iodoamphetamine with one blood sampling , 1994, European Journal of Nuclear Medicine.

[22]  W. L. Chiou,et al.  The Phenomenon and Rationale of Marked Dependence of Drug Concentration on Blood Sampling Site , 1989, Clinical pharmacokinetics.

[23]  [Quantitative assessment of cerebral blood flow by 123I-IMP SPECT: venous sampling method with hand warming in the water bath]. , 1993, Kaku igaku. The Japanese journal of nuclear medicine.

[24]  G. Alexander,et al.  Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Kewei Chen,et al.  Image-Derived Input Function for Brain PET Studies: Many Challenges and Few Opportunities , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[26]  Marcel Ricard,et al.  Biodistribution and radiation dosimetry of 18F-fluoro-A-85380 in healthy volunteers. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[27]  C Crouzel,et al.  Imaging central nicotinic acetylcholine receptors in baboons with [18F]fluoro-A-85380. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[28]  Véronique Gaura,et al.  Simultaneous Estimation of input functions: The B-SIME method , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[29]  Sarah H Lisanby,et al.  Safety of Radial Arterial Catheterization in PET Research Subjects , 2009, Journal of Nuclear Medicine.

[30]  Kewei Chen,et al.  An input function estimation method for FDG-PET human brain studies. , 2007, Nuclear medicine and biology.

[31]  D. Feng,et al.  Noninvasive Quantification of the Cerebral Metabolic Rate for Glucose Using Positron Emission Tomography, 18F-Fluoro-2-Deoxyglucose, the Patlak Method, and an Image-Derived Input Function , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[32]  Y Imahori,et al.  Simplification for measuring input function of FDG PET: investigation of 1-point blood sampling method. , 2000, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[33]  Klaus Wienhard,et al.  Noninvasive quantification of 18F-FLT human brain PET for the assessment of tumour proliferation in patients with high-grade glioma , 2009, European Journal of Nuclear Medicine and Molecular Imaging.

[34]  E. Hoffman,et al.  TOMOGRAPHIC MEASUREMENT OF LOCAL CEREBRAL GLUCOSE METABOLIC RATE IN HUMANS WITH (F‐18)2‐FLUORO-2‐DEOXY-D‐GLUCOSE: VALIDATION OF METHOD , 1980, Annals of neurology.

[35]  El Mostafa Fadaili,et al.  Comparison of Eight Methods for the Estimation of the Image-Derived Input Function in Dynamic [18F]-FDG PET Human Brain Studies , 2009, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[36]  Christopher C Rowe,et al.  Simplified quantification of nicotinic receptors with 2[18F]F-A-85380 PET. , 2005, Nuclear medicine and biology.

[37]  C. Meltzer,et al.  Quantification of Neuroreceptors in the Living Human Brain: III. D2-Like Dopamine Receptors: Theory, Validation, and Changes during Normal Aging , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[38]  G. Alexander,et al.  Characterization of the image-derived carotid artery input function using independent component analysis for the quantitation of [18F] fluorodeoxyglucose positron emission tomography images , 2007, Physics in medicine and biology.

[39]  V. Dhawan,et al.  Noninvasive quantitative fluorodeoxyglucose PET studies with an estimated input function derived from a population-based arterial blood curve. , 1993, Radiology.

[40]  Jean-Dominique Gallezot,et al.  In vivo imaging of human cerebral nicotinic acetylcholine receptors with 2-18F-fluoro-A-85380 and PET. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.