Public articles linked to the same research event.
EuroIntervention Using the TARGET All Comers randomised trial of 1,551 patients, this study developed an artificial intelligence algorithm for real-time automated assessment of radial wall strain (RWS) from routine angiography and evaluated its prognostic value in 1,384 non-target vessels from 802 patients, finding that baseline maximal RWS (RWSmax) ≥13% independently predicted the 5-year non-target vessel-oriented composite endpoint (NT-VOCE) with an adjusted hazard ratio of 4.82 (95% CI 3.14-7.40) and an adjusted AUC of 0.73, with the highest predictive accuracy for non-target vessel revascularisation (adjusted AUC 0.92) and even greater performance in the high-quality angiographic image subgroup (adjusted HR 6.89).
Using the TARGET All Comers randomised trial of 1,551 patients, this study developed an artificial intelligence algorithm for real-time automated assessment of radial wall strain (RWS) from routine angiography and evaluated its prognostic value in 1,384 non-target vessels from 802 patients, finding that baseline maximal RWS (RWSmax) ≥13% independently predicted the 5-year non-target vessel-oriented composite endpoint (NT-VOCE) with an adjusted hazard ratio of 4.82 (95% CI 3.14-7.40) and an adjusted AUC of 0.73, with the highest predictive accuracy for non-target vessel revascularisation (adjusted AUC 0.92) and even greater performance in the high-quality angiographic image subgroup (adjusted HR 6.89).
Using the TARGET All Comers randomised trial of 1,551 patients, this study developed an artificial intelligence algorithm for real-time automated assessment of radial wall strain (RWS) from routine angiography and evaluated its prognostic value in 1,384 non-target vessels from 802 patients, finding that baseline maximal RWS (RWSmax) ≥13% independently predicted the 5-year non-target vessel-oriented composite endpoint (NT-VOCE) with an adjusted hazard ratio of 4.82 (95% CI 3.14-7.40) and an adjusted AUC of 0.73, with the highest predictive accuracy for non-target vessel revascularisation (adjusted AUC 0.92) and even greater performance in the high-quality angiographic image subgroup (adjusted HR 6.89).
Using the TARGET All Comers randomised trial of 1,551 patients, this study developed an artificial intelligence algorithm for real-time automated assessment of radial wall strain (RWS) from routine angiography and evaluated its prognostic value in 1,384 non-target vessels from 802 patients, finding that baseline maximal RWS (RWSmax) ≥13% independently predicted the 5-year non-target vessel-oriented composite endpoint (NT-VOCE) with an adjusted hazard ratio of 4.82 (95% CI 3.14-7.40) and an adjusted AUC of 0.73, with the highest predictive accuracy for non-target vessel revascularisation (adjusted AUC 0.92) and even greater performance in the high-quality angiographic image subgroup (adjusted HR 6.89).