Your browser doesn't support javascript.
loading
The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter study.
Di Jiang, Meng; Zhang, Xiao Lei; Liu, Hui; Tang, Chun Xiang; Li, Jian Hua; Wang, Yi Ning; Xu, Peng Peng; Zhou, Chang Sheng; Zhou, Fan; Lu, Meng Jie; Zhang, Jia Yin; Yu, Meng Meng; Hou, Yang; Zheng, Min Wen; Zhang, Bo; Zhang, Dai Min; Yi, Yan; Xu, Lei; Hu, Xiu Hua; Yang, Jian; Lu, Guang Ming; Ni, Qian Qian; Zhang, Long Jiang.
Afiliação
  • Di Jiang M; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Zhang XL; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Liu H; Department of Radiology, Guangdong General Hospital, Guangzhou, 510080, China.
  • Tang CX; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Li JH; Department of Cardiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Wang YN; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
  • Xu PP; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Zhou CS; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Zhou F; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Lu MJ; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Zhang JY; Institute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
  • Yu MM; Institute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
  • Hou Y; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110001, China.
  • Zheng MW; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi, China.
  • Zhang B; Department of Radiology, Jiangsu Taizhou People's Hospital, Taizhou, 225300, China.
  • Zhang DM; Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China.
  • Yi Y; Institute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
  • Xu L; Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 10029, China.
  • Hu XH; Department of Radiology, Shaoyifu Hospital Affiliated to Medical College of Zhejiang University, Hangzhou, 310016, China.
  • Yang J; Department of Radiology, the First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
  • Lu GM; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Ni QQ; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China. nqqnjumed@hotmail.com.
  • Zhang LJ; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China. kevinzhlj@163.com.
Eur Radiol ; 31(3): 1482-1493, 2021 Mar.
Article em En | MEDLINE | ID: mdl-32929641
OBJECTIVE: To investigate the effect of coronary calcification morphology and severity on the diagnostic performance of machine learning (ML)-based coronary CT angiography (CCTA)-derived fractional flow reserve (CT-FFR) with FFR as a reference standard. METHODS: A total of 442 patients (61.2 ± 9.1 years, 70% men) with 544 vessels who underwent CCTA, ML-based CT-FFR, and invasive FFR from China multicenter CT-FFR study were enrolled. The effect of calcification arc, calcification remodeling index (CRI), and Agatston score (AS) on the diagnostic performance of CT-FFR was investigated. CT-FFR ≤ 0.80 and lumen reduction ≥ 50% determined by CCTA were identified as vessel-specific ischemia with invasive FFR as a reference standard. RESULTS: Compared with invasive FFR, ML-based CT-FFR yielded an overall sensitivity of 0.84, specificity of 0.94, and accuracy of 0.90 in a total of 344 calcification lesions. There was no statistical difference in diagnostic accuracy, sensitivity, or specificity of CT-FFR across different calcification arc, CRI, or AS levels. CT-FFR exhibited improved discrimination of ischemia compared with CCTA alone in lesions with mild-to-moderate calcification (AUC, 0.89 vs. 0.69, p < 0.001) and lesions with CRI ≥ 1 (AUC, 0.89 vs. 0.71, p < 0.001). The diagnostic accuracy and specificity of CT-FFR were higher than CCTA alone in patients and vessels with mid (100 to 299) or high (≥ 300) AS. CONCLUSION: Coronary calcification morphology and severity did not influence diagnostic performance of CT-FFR in ischemia detection, and CT-FFR showed marked improved discrimination of ischemia compared with CCTA alone in the setting of calcification. KEY POINTS: • CT-FFR provides superior diagnostic performance than CCTA alone regardless of coronary calcification. • No significant differences in the diagnostic performance of CT-FFR were observed in coronary arteries with different coronary calcification arcs and calcified remodeling indexes. • No significant differences in the diagnostic accuracy of CT-FFR were observed in coronary arteries with different coronary calcification score levels.
Assuntos
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estenose Coronária / Reserva Fracionada de Fluxo Miocárdico Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estenose Coronária / Reserva Fracionada de Fluxo Miocárdico Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China