OBJECTIVE: The purpose of this study was to study the feasibility and diagnostic capability of preoperative cardiac CT for depicting aortic valvular pseudoaneurysms and vegetations in patients referred for aortic endocarditis requiring surgical intervention. MATERIALS AND METHODS: Consecutive patients presenting with active aortic endocarditis requiring surgical intervention were included. CT scan examinations were performed for assessing coronary artery status. Aortic valves were retrospectively analyzed. Contrast-enhanced CT scans were retrospectively gated to the ECG and obtained without the administration of a beta-blocker. The CT and intraoperative findings were systematically compared. RESULTS: During a 4-year period, 19 consecutive patients (18 men and one woman) were included (mean age +/- SD, 55 +/- 13 years). Results are expressed on a per-patient basis. The sensitivity, specificity, positive predictive value, and negative predictive value of MDCT in depicting aortic valve pseudoaneurysms were 100%, 87.5%, 91.7%, and 100%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of the MDCT in depicting the extension of the aortic valve pseudoaneurysms into the intervalvular fibrous body were each 100%. The sensitivity, specificity, positive predictive value, and negative predictive value of MDCT in depicting aortic valve vegetations were 71.4%, 100%, 100%, and 55.5%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of MDCT for depicting aortic valve vegetations larger than 1 cm were all 100%. CONCLUSION: Our study shows the feasibility of preoperative CT in aortic infective endocarditis for providing relevant data about the presence and relationships of aortic valvular pseudoaneurysms. A larger prospective study including a systematic comparison with transesophageal echocardiography should be performed to determine the respective value of each technique.
OBJECTIVE: The purpose of this study was to study the feasibility and diagnostic capability of preoperative cardiac CT for depicting aortic valvular pseudoaneurysms and vegetations in patients referred for aortic endocarditis requiring surgical intervention. MATERIALS AND METHODS: Consecutive patients presenting with active aortic endocarditis requiring surgical intervention were included. CT scan examinations were performed for assessing coronary artery status. Aortic valves were retrospectively analyzed. Contrast-enhanced CT scans were retrospectively gated to the ECG and obtained without the administration of a beta-blocker. The CT and intraoperative findings were systematically compared. RESULTS: During a 4-year period, 19 consecutive patients (18 men and one woman) were included (mean age +/- SD, 55 +/- 13 years). Results are expressed on a per-patient basis. The sensitivity, specificity, positive predictive value, and negative predictive value of MDCT in depicting aortic valve pseudoaneurysms were 100%, 87.5%, 91.7%, and 100%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of the MDCT in depicting the extension of the aortic valve pseudoaneurysms into the intervalvular fibrous body were each 100%. The sensitivity, specificity, positive predictive value, and negative predictive value of MDCT in depicting aortic valve vegetations were 71.4%, 100%, 100%, and 55.5%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of MDCT for depicting aortic valve vegetations larger than 1 cm were all 100%. CONCLUSION: Our study shows the feasibility of preoperative CT in aortic infective endocarditis for providing relevant data about the presence and relationships of aortic valvular pseudoaneurysms. A larger prospective study including a systematic comparison with transesophageal echocardiography should be performed to determine the respective value of each technique.
Authors: Paola Anna Erba; Patrizio Lancellotti; Isidre Vilacosta; Oliver Gaemperli; Francois Rouzet; Marcus Hacker; Alberto Signore; Riemer H J A Slart; Gilbert Habib Journal: Eur J Nucl Med Mol Imaging Date: 2018-05-24 Impact factor: 9.236
Authors: Shahmir Kamalian; Shervin Kamalian; Stuart R Pomerantz; Teerath P Tanpitukpongse; Rajiv Gupta; Javier M Romero; Douglas S Katz Journal: Emerg Radiol Date: 2013-03-22
Authors: Srikanth Koneru; Steven S Huang; Jorge Oldan; Jorge Betancor; Zoran B Popovic; L Leonardo Rodriguez; Nabin K Shrestha; Steven Gordon; Gosta Pettersson; Michael A Bolen Journal: Cardiovasc Diagn Ther Date: 2018-08