Computed Tomography Imaging Features in Acute Uncomplicated Stanford Type-B Aortic Dissection Predict Late Adverse Events [Outcomes Research]

Conclusions—
Computed tomography imaging-based morphological features combined into a prediction model may be able to identify patients at high risk for late adverse events after an initially uncomplicated type-B aortic dissection.

Source: Circulation: Cardiovascular Imaging - March 30, 2017 Category: Radiology Authors: Sailer, A. M., van Kuijk, S. M. J., Nelemans, P. J., Chin, A. S., Kino, A., Huininga, M., Schmidt, J., Mistelbauer, G., Baumler, K., Chiu, P., Fischbein, M. P., Dake, M. D., Miller, D. C., Schurink, G. W. H., Fleischmann, D. Tags: Risk Factors, Computerized Tomography (CT), Cardiovascular Surgery, Complications, Aortic Dissection Outcomes Research Source Type: research