Marty research poster
1
Introduction “True” quantification of myocardial perfusion is important because it can help detect coronary artery disease before it even becomes clinically apparent, which is immensely helpful, given that CAD remains a leading cause of death in Canada (CDC, 2015). This poster provides a brief sample overview of one of many compartmental models involved in ongoing rubidium-82 PET quantification research, and looks at potential impacts on nuclear medicine and preventative diagnosis of heart disease. •Endothelial dysfunction precedes structural changes in coronary arteries; PET quantitation is attractive because it can detect abnormalities before obvious structural changes occur (Bann, 2014). Methodology and processing •Gated ECG imaging begins about 2 minutes after tracer injection, and stress imaging can be done as soon as persantine has taken maximal effect and the tracer re- administered. •A topogram is obtained to mark anatomy before proceeding with CT or rubidium-82 administration (Di Carli, 2007). •Images are processed much like a typical MIBI SPECT; the PET data is fused with CT and registered to generate an attenuation-corrected reconstructed volume and TAC. Acknowledgments I would like to thank the ACMDTT for hosting the conference, as well as the University of Alberta Hospital diagnostic imaging department for allowing me to access processed studies for reference. I would also like to thank Marek Draszka for reviewing my poster and Bob Bann for providing information on underlying theory. Conclusions Quantification of PET myocardial perfusion has great prospects to potentially revolutionize cardiac health assessment. CAD is a leading cause of death, and PET presents an opportunity to prevent progression of the disease with early diagnosis and treatment. Given this information, and the imminent closing of chalk river, what this could mean for nuclear medicine is that MIBI heart scans may become less represented proportionally, as more CAD assessments shift over to PET – although this study is limited to locations with cyclotrons or strontium-82 generators. SAIT Polytechnic, Calgary, Alberta, Canada. Marty Blois References Bailing, H. (2013). PET tracers and techniques for measuring myocardial blood flow in patients with coronary artery disease. Journal of Biomedical Research, 27(6). 452-459. Bann, B. (2014). PET Quantification of Myocardial Perfusion [powerpoint slides] . Retriened April 1, 2015 from University of Alberta. SPECT/CT workstation. Di Carli, M. et al. (2007). Clinical Myocardial Perfusion PET/CT. Journal of Nuclear Medicine, 48(5).784-787. PET myocardial perfusion study [photographs]. (2015). Retrieved April 2, 2015 from University of Alberta Hospital, Edmonton, AB. Leading Causes of Death. (2015, February 6). Retrieved April 10, 2015, from http://www.cdc.gov/nchs/fastats/leading -causes-of-death.htm Figure 1. Processing sample for PET. Stress and rest transaxial slices with curves representing myocardium tracer concentration with respect to time in a gated rubidium-82 PET study. (University of Alberta Hospital, 2015). University of Alberta Hospital. (2015). Figure 2. Single compartment physiological flow model. q1 and q2 represent mass of 82 Rb-Cl in capillary bed and myocardium, at time t, respectively. K1 and K2 are the transfer rate coefficients from compartment 1 to 2 (in ml/min/g) and vice-versa (Bailing, 2013). Figure 3. 82 Rb-Cl polar plots generated from a gated PET study. These provide a qualitative assessment of quantitative stress and rest MBF data for a given region of the heart, measured in ml/g/min (University of Alberta Hospital, 2015).
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Transcript of Marty research poster
Introduction“True” quantification of myocardial perfusion is important because it can help detect coronary artery disease before it even becomes clinically apparent, which is immensely helpful, given that CAD remains a leading cause of death in Canada (CDC, 2015).
This poster provides a brief sample overview of one of many compartmental models involved in ongoing rubidium-82 PET quantification research, and looks at potential impacts on nuclear medicine and preventative diagnosis of heart disease.
•Endothelial dysfunction precedes structural changes in coronary arteries; PET quantitation is attractive because it can detect abnormalities before obvious structural changes occur (Bann, 2014).
Methodology and processing•Gated ECG imaging begins about 2 minutes after tracer injection, and stress imaging can be done as soon as persantine has taken maximal effect and the tracer re-administered.•A topogram is obtained to mark anatomy before proceeding with CT or rubidium-82 administration (Di Carli, 2007).•Images are processed much like a typical MIBI SPECT; the PET data is fused with CT and registered to generate an attenuation-corrected reconstructed volume and TAC. Acknowledgments
I would like to thank the ACMDTT for hosting the conference, as well as the University of Alberta Hospital diagnostic imaging department for allowing me to access processed studies for reference. I would also like to thank Marek Draszka for reviewing my poster and Bob Bann for providing information on underlying theory.
ConclusionsQuantification of PET myocardial perfusion has great prospects to potentially revolutionize cardiac health assessment. CAD is a leading cause of death, and PET presents an opportunity to prevent progression of the disease with early diagnosis and treatment. Given this information, and the imminent closing of chalk river, what this could mean for nuclear medicine is that MIBI heart scans may become less represented proportionally, as more CAD assessments shift over to PET – although this study is limited to locations with cyclotrons or strontium-82 generators.
SAIT Polytechnic, Calgary, Alberta, Canada.Marty Blois
ReferencesBailing, H. (2013). PET tracers and techniques for measuring
myocardial blood flow in patients with coronary artery disease. Journal of Biomedical Research, 27(6). 452-459.
Bann, B. (2014). PET Quantification of Myocardial Perfusion [powerpoint slides] . Retriened April 1, 2015 from University of Alberta. SPECT/CT workstation.
Di Carli, M. et al. (2007). Clinical Myocardial Perfusion PET/CT. Journal of Nuclear Medicine, 48(5).784-787.
PET myocardial perfusion study [photographs]. (2015). Retrieved April 2, 2015 from University of Alberta Hospital, Edmonton, AB.
Leading Causes of Death. (2015, February 6). Retrieved April 10, 2015, from http://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm
Figure 1. Processing sample for PET. Stress and rest transaxial slices with curves representing myocardium tracer concentration with respect to time in a gated rubidium-82 PET study. (University of Alberta Hospital, 2015).
University of Alberta Hospital. (2015).
Figure 2. Single compartment physiological flow model. q1 and q2 represent mass of 82Rb-Cl in capillary bed and myocardium, at time t, respectively. K1 and K2 are the transfer rate coefficients from compartment 1 to 2 (in ml/min/g) and vice-versa (Bailing, 2013).
Figure 3. 82Rb-Cl polar plots generated from a gated PET study. These provide a qualitative assessment of quantitative stress and rest MBF data for a given region of the heart, measured in ml/g/min (University of Alberta Hospital, 2015).
