Your browser doesn't support javascript.
loading
Predictive value of thrombolysis in myocardial infarction frame count for coronary microvascular dysfunction evaluated with an angiography-derived index of microcirculatory resistance in patients with coronary slow flow.
Li, Menghuan; Su, Hu; Jiang, Ming; Zuo, Zhi; Su, Zhenyang; Hao, Lijun; Yang, Jiaming; Zhang, Zhiyong; Wang, Hui; Kong, Xiangqing.
Affiliation
  • Li M; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Su H; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Jiang M; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Zuo Z; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Su Z; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Hao L; Department of Cardiology, Sir-Run-Run Hospital of Nanjing Medical University, Nanjing, China.
  • Yang J; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Zhang Z; Department of Cardiology, Suqian First People's Hospital of Suqian City, Suqian, China.
  • Wang H; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Kong X; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Quant Imaging Med Surg ; 12(10): 4942-4952, 2022 Oct.
Article in En | MEDLINE | ID: mdl-36185054

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Quant Imaging Med Surg Year: 2022 Document type: Article Affiliation country: China Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Quant Imaging Med Surg Year: 2022 Document type: Article Affiliation country: China Country of publication: China