Fig. 2 | Scientific Reports

Fig. 2

From: Relationship and prognostic value of the triglyceride-glucose index and optical coherence tomography-derived physiological index in patients with acute coronary syndrome

Fig. 2

Typical examples of non-culprit lesions identified through deep learning algorithms for the simultaneous detection of both morphological and physiological characteristics. (A) Coronary angiography shows a moderate lesion in the proximal segment of the left circumflex artery, identified as a non-culprit lesion. (B) OCT reveals lipid and fibrous plaques (B1–B3). (C) The calculated OFR measurements are depicted using a color-coded method. (D) Three-dimensional reconstruction of the lumen, with overlaying plaque composition. (E) OFR values are color-coded and displayed on the lumen diameter distribution plot. The most distal OFR value is 0.87. CAG coronary angiography, LCx left circumflex artery, OCT optical coherence tomography, OFR optical flow ratio;

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