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Br J Radiol ; 92(1102): 20190344, 2019 Oct.
Article in English | MEDLINE | ID: mdl-31359789

ABSTRACT

OBJECTIVE: To assess the frequency and impact of incidental findings (IF) on CT during work-up for transcatheter aortic valve intervention (TAVI). METHODS: A consecutive cohort of patients referred for consideration of TAVI who underwent a CT scan between 2009 and 2018 were studied retrospectively. CT reports were reviewed for the presence of IFs and categorised based upon their clinical significance: (a) insignificant-findings that did not require specific treatment or follow-up; (b) intermediate-findings that did not impact on the decision-making process but required follow-up; (c) significant-findings that either required urgent investigation or meant that TAVI was clinically inappropriate. RESULTS: A total of 652 patients were included, whose median age was 82 years. One or more insignificant IF was found in 95.6% of patients. Intermediate IFs were documented in 5.4%. 91 (14%) patients had at least one significant IF. These included possible malignancy in 67 (74%). The ultimate decision to offer aortic valve intervention was only changed by the presence of an IF in 3.5% of cases. CONCLUSION: Clinically significant IFs are detected in more than 1 in 10 of patients undergoing CT as part of a TAVI work-up, although just over half of these patients still receive aortic valve intervention. ADVANCES IN KNOWLEDGE: This study is the largest UK cohort, which, when combined with a review of existing literature, provides a clear picture of the frequency and clinical impact of IFs found at CT for TAVI assessment.


Subject(s)
Incidental Findings , Preoperative Care , Tomography, X-Ray Computed , Transcatheter Aortic Valve Replacement , Aged , Aged, 80 and over , Clinical Decision-Making , Cohort Studies , Female , Humans , Male , Neoplasms/diagnostic imaging , Prevalence , Retrospective Studies , Risk , Tomography, X-Ray Computed/statistics & numerical data , Transcatheter Aortic Valve Replacement/statistics & numerical data , United Kingdom
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