Sex Differences in Detection of Acute Coronary Syndrome Culprit Lesion Using Conventional and AI-Enhanced Coronary CT Angiography.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ahn Hyun Jin, Yang Seokhun, Jung Jae Wook, Park Sang-Hyeon, Zhang Jinlong, Lee Keehwan, Hwang Doyeon, Lee Kyu-Sun, Na Sang-Hoon, Doh Joon-Hyung, Nam Chang-Wook, Kim Tae Hyun, Shin Eun-Seok, Chun Eun Ju, Choi Su-Yeon, Kim Hyun Kuk, Hong Young Joon, Park Hun-Jun, Kim Song-Yi, Husic Mirza, Lambrechtsen Jess, Jensen Jesper M, Nørgaard Bjarne L, Andreini Daniele, Maurovich-Horvat Pal, Merkely Bela, Penicka Martin, de Bruyne Bernard, Ihdayhid Abdul, Ko Brian, Tzimas Georgios, Leipsic Jonathon, Sanz Javier, Rabbat Mark G, Katchi Farhan, Shah Moneal, Tanaka Nobuhiro, Nakazato Ryo, Asano Taku, Terashima Mitsuyasu, Takashima Hiroaki, Amano Tetsuya, Sobue Yoshihiro, Matsuo Hitoshi, Otake Hiromasa, Kubo Takashi, Takahata Masahiro, Akasaka Takashi, Kido Teruhito, Mochizuki Teruhito, Yokoi Hiroyoshi, Okonogi Taichi, Kawasaki Tomohiro, Nakao Koichi, Sakamoto Tomohiro, Yonetsu Taishi, Kakuta Tsunekazu, Yamauchi Yohei, Taylor Charles A, Bax Jeroen J, Stone Peter H, Narula Jagat, Shaw Leslee J, Koo Bon-Kwon
Аннотация
METHODS AND RESULTS: In this sub-study of the EMERALD II trial (NCT03591328), patients with ACS who underwent CCTA 1 month to 3 years prior to the event were analyzed. Culprit and non-culprit lesions were defined by invasive coronary angiography at the time of ACS. Diagnostic performance of obstructive stenosis (CAD-RADS ≥3) and high-risk plaque (HRP) criteria was compared between women and men. Information gain-based feature selection identified sex-specific AI-QCPHA best predictors across five feature clusters, and their incremental predictive value was evaluated using receiver operating characteristics reported as area under the curve (AUC). A total of 351 patients (90 women, 261 men) with 2,451 lesions were included. Conventional CCTA performed similarly across sexes for obstructive stenosis, whereas HRP differed by sex. AI-QCPHA identified the same best features for ACS culprit prediction in both sexes, and integration of these features improved discriminatory performance beyond conventional CCTA (women AUC 0.84 vs. 0.78, p = 0.002; men 0.82 vs. 0.75, p < 0.001). Among individual predictors, delta FFRCT yielded the highest discriminatory performance in both women and men.
CONCLUSION: AI-QCPHA enhances culprit lesion prediction in obstructive ACS beyond conventional CCTA in both sexes, supporting its potential role for improved culprit-lesion discrimination.