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Angina is a common clinical symptom of ischemic heart disease, affecting up to 11 million people in the United States alone, and 112 million people globally. Despite this, 4 in 10 patients undergoing elective coronary angiography for angina and ischemia do not have evidence of obstructive coronary artery disease (CAD). This condition of ischemia with no obstructive CAD (INOCA) is associated with high clinical and economic morbidity, as these patients have a higher rate of repeat procedures and hospitalizations, worse quality of life, future adverse cardiovascular events and frequent time missed from work. The overall objective of this study is to develop and validate a non-invasive algorithm for diagnosis and management of patients with INOCA and suspected microvascular dysfunction centered around cardiac PET MPI. A secondary goal of the study is to assess for improvement in patient sym
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