Abstract
OBJECTIVE:\r\n\r\nTo evaluate the role of quantitative digital subtraction angiography (Q-DSA) with parametric color coding (PCC) in assessing patients with type B chronic thoracic aortic dissection (TBCAD) during thoracic endovascular aortic repair (TEVAR) procedures.\r\nPATIENTS AND METHODS:\r\n\r\nA total of 11 patients electively treated in our Department for a TBCAD were retrospectively enrolled. All cases were treated with TEVAR for false lumen aneurysm of the thoracic descending aorta. For digital subtraction angiography (DSA) series post-processing, a newly implemented PCC algorithm was used to turn consecutive two-dimensional images into a single color-coded picture (syngo iFLOW, Siemens AG, Forchheim, Germany). In consensus reading, two clinicians experienced in vascular imaging evaluated the DSA series in blinded assessment and compared them to the color-coded images. PCC was assessed for its accuracy in identifying the true and false lumen as well as whether it could provide improved visualization in pre-deployment stent grafting and the final evaluation of treatment.\r\nRESULTS:\r\n\r\nPCC facilitated the visualization of the aortic dissection angioarchitecture in terms of contemporary true and false lumen vision in 81.8% of the cases. In 72.7% of the procedures, Q-DSA was estimated to improve aorta information assessment in terms of false lumen viewing, and it was possible to identify the proximal entry tear position in 45.4% of the cases. After stent graft deployment, in 72.7% of the cases (all 8 patients in which the aortic arch false lumen was visible in pre-treatment), Q-DSA confirmed the absence of early false lumen reperfusion.\r\nCONCLUSIONS:\r\n\r\nOur results indicate that Q-DSA could be useful in the intraprocedural evaluation of patients with aortic dissection during TEVAR procedures without additional x-ray costs and contrast exposure.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 516-522 |
| Numero di pagine | 7 |
| Rivista | European Review for Medical and Pharmacological Sciences |
| Volume | 22 |
| Numero di pubblicazione | 2 |
| Stato di pubblicazione | Pubblicato - 2018 |
All Science Journal Classification (ASJC) codes
- Farmacologia (medica)
Keywords
- digital subtraction
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