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1.
Eur Radiol ; 32(8): 5210-5221, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35258672

ABSTRACT

OBJECTIVES: To propose a novel functional Coronary Artery Disease-Reporting and Data System (CAD-RADS) category system integrated with coronary CT angiography (CCTA)-derived fractional flow reserve (FFRCT) and to validate its effect on therapeutic decision and prognosis in patients with coronary artery disease (CAD). METHODS: Firstly, we proposed a novel functional CAD-RADS and evaluated the performance of functional CAD-RADS for guiding treatment strategies with actual clinical treatment as a reference standard in a retrospective multicenter cohort with CCTA and invasive FFR performed in all patients (n = 466). Net reclassification improvement (NRI) of functional CAD-RADS over anatomical CAD-RADS was calculated. Secondly, the prognostic value of functional CAD-RADS in a prospective two-arm cohort (566 [FFRCT arm] vs. 567 [CCTA arm]) was calculated, after a 1-year follow-up, functional CAD-RADS in FFRCT arm (n = 513) and anatomical CAD-RADS in CCTA arm (n = 511) to determine patients at risk of adverse outcomes were compared with a Cox hazard proportional model. RESULTS: Functional CAD-RADS demonstrated superior value over anatomical CAD-RADS (AUC: 0.828 vs. 0.681, p < 0.001) and comparable performance to FFR (AUC: 0.828 vs. 0.848, p = 0.253) in guiding therapeutic decisions. Functional CAD-RADS resulted in the revision of management plan as determined by anatomical CAD-RADS in 30.0% of patients (n = 140) (NRI = 0.369, p < 0.001). Functional CAD-RADS was an independent predictor for 1-year outcomes with indexes of concordance of 0.795 and the corresponding value was 0.751 in anatomical CAD-RADS. CONCLUSION: The novel functional CAD-RADS gained incremental value in guiding therapeutic decision-making compared with anatomical CAD-RADS and comparable power in 1-year prognosis with anatomical CAD-RADS in a real-world scenario. KEY POINTS: • The novel functional CAD-RADS category system with FFRCT integrated into the anatomical CAD-RADS categories was originally proposed. • The novel functional CAD-RADS category system was validated superior value over anatomical CAD-RADS (AUC: 0.828 vs. 0.681, p < 0.001) in guiding therapeutic decisions and revised management plan in 30.0% of patients as determined by anatomical CAD-RADS (net reclassification improvement index = 0.369, p < 0.001). • Functional CAD-RADS was an independent predictor with an index of concordance of 0.795 and 0.751 in anatomical CAD-RADS for 1-year prognosis of adverse outcomes.


Subject(s)
Coronary Artery Disease , Coronary Stenosis , Fractional Flow Reserve, Myocardial , Computed Tomography Angiography/methods , Coronary Angiography/methods , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/therapy , Humans , Predictive Value of Tests , Prognosis , Prospective Studies , Tomography, X-Ray Computed
2.
J Thorac Imaging ; 35(4): 239-245, 2020 Jul.
Article in English | MEDLINE | ID: mdl-32384412

ABSTRACT

The COVID-19 global pandemic has emerged as an unprecedented health care crisis. To reduce risks of severe acute respiratory syndrome coronavirus 2 transmission in the Radiology Department, this article describes measures to increase the preparedness of Radiology Department, such as careful screening of staff and patients, thorough disinfection of equipments and rooms, appropriate use of personal protection equipment, and early isolation of patients with incidentally detected computed tomography findings suspicious for COVID-19. The familiarity of radiologists with clinical and imaging manifestations of COVID-19 pneumonia and their prognostic implications is essential to provide optimal care to patients.


Subject(s)
Betacoronavirus , Coronavirus Infections/diagnostic imaging , Coronavirus Infections/prevention & control , Pandemics/prevention & control , Personal Protective Equipment , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/prevention & control , Practice Guidelines as Topic , Tomography, X-Ray Computed/methods , COVID-19 , Humans , Lung/diagnostic imaging , SARS-CoV-2
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