Determination of lipid-rich plaques by artificial intelligence-enabled quantitative computed tomography using near-infrared spectroscopy as reference.
Omori H, Matsuo H, Fujimoto S, Sobue Y, Nozaki Y, Nakazawa G, Takahashi K, Osawa K, Okubo R, Kaneko U, Sato H, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Saji M, Iguchi N, Ijichi T, Mikamo H, Kurata A, Moroi M, Iijima R, Malkasian S, Crabtree T, Min JK, Earls JP, Nakanishi R.
Omori H, et al.
Atherosclerosis. 2023 Dec;386:117363. doi: 10.1016/j.atherosclerosis.2023.117363. Epub 2023 Oct 29.
Atherosclerosis. 2023.
PMID: 37944269
Free article.
BACKGROUND AND AIMS: Artificial intelligence quantitative CT (AI-QCT) determines coronary plaque morphology with high efficiency and accuracy. ...Additionally, vessel area, lumen area, plaque burden, and lesion length derived from AI-QCT strongly correlated with res …
BACKGROUND AND AIMS: Artificial intelligence quantitative CT (AI-QCT) determines coronary plaque morphology with high efficiency and …