In-depth learning improves the diagnosis of coronary artery disease



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The diagnosis of coronary artery disease, the most common type of heart disease in the United States, can be improved by bird flu, according to a new multicenter international study published in The journal of nuclear medicine.

Currently, coronary artery disease, or coronary artery disease, is often diagnosed by single-photon emission computed tomography (MPI) imaging in the upright and supine position, which reveals the ability of the heart to pump and examine blood flow through the body. heart during exercise. . Images are systematically taken in two positions: semi-upright and recumbent, used to calculate combined combined perfusion deficit (PDT) to badyze MPI data.

For the study, researchers at Cedars-Sinai Medical Center in Los Angeles compared the standard TPD badysis of 1,160 non-coronary heart disease patients to an in-depth badysis of two-position MPI data. To collect the images, new-generation solid state SPECT scanners were used in four different centers, stress-induced MPI patients, on-site clinical reading, and invasive coronary angiography correlation. within six months of the MPI.

Of more than 1,100 patients, 62%, or 712, and 37%, or 1,272, of 3,480 arteries were obstructive – defined as being a narrowing of at least 70% of the three main coronary arteries and of the necrosis. at least 50% of the main left artery. coronary artery.

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