Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS

To determine whether machine learning with histogram analysis of coronary CT angiography (CCTA) yields higher diagnostic performance for coronary plaque characterization than the conventional cut-off method using the median CT number.

Source: Journal of Cardiovascular Computed Tomography - October 20, 2018 Category: Radiology Authors: Takanori Masuda, Takeshi Nakaura, Yoshinori Funama, Tomokazu Okimoto, Tomoyasu Sato, Toru Higaki, Noritaka Noda, Naoyuki Imada, Yasutaka Baba, Kazuo Awai Tags: Research paper Source Type: research