Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study.
Lin A, Manral N, McElhinney P, Killekar A, Matsumoto H, Kwiecinski J, Pieszko K, Razipour A, Grodecki K, Park C, Otaki Y, Doris M, Kwan AC, Han D, Kuronuma K, Flores Tomasino G, Tzolos E, Shanbhag A, Goeller M, Marwan M, Gransar H, Tamarappoo BK, Cadet S, Achenbach S, Nicholls SJ, Wong DT, Berman DS, Dweck M, Newby DE, Williams MC, Slomka PJ, Dey D.
Lin A, et al.
Lancet Digit Health. 2022 Apr;4(4):e256-e265. doi: 10.1016/S2589-7500(22)00022-X.
Lancet Digit Health. 2022.
PMID: 35337643
Free PMC article.
The mean per-patient deep learning plaque analysis time was 5.65 s (SD 1.87) versus 25.66 min (6.79) taken by experts. Over a median follow-up of 4.7 years (IQR 4.0-5.7), myocardial infarction occurred in 41 (2.5%) of 1611 patients from the SCOT-HEART trial. ...INTERPRETAT …
The mean per-patient deep learning plaque analysis time was 5.65 s (SD 1.87) versus 25.66 min (6.79) taken by experts. Over a median …