P21 Artificial intelligence assessment of the thoracic aorta is accurate, reliable and has potential clinical impact
ObjectiveTo assess the diagnostic accuracy, reliability and clinical impact of artificial intelligence (AI) derived thoracic aorta analysis (AI-Rad Companion, Siemens) on routine clinical gated and non-gated chest CT.MethodsThis was a single centre retrospective study. AI diagnostic accuracy was ass...
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Published in | Heart (British Cardiac Society) Vol. 108; no. Suppl 2; p. A10 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BMJ Publishing Group Ltd and British Cardiovascular Society
21.09.2022
BMJ Publishing Group LTD |
Subjects | |
Online Access | Get full text |
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Summary: | ObjectiveTo assess the diagnostic accuracy, reliability and clinical impact of artificial intelligence (AI) derived thoracic aorta analysis (AI-Rad Companion, Siemens) on routine clinical gated and non-gated chest CT.MethodsThis was a single centre retrospective study. AI diagnostic accuracy was assessed on 210 consecutive CT aortas and compared to cardiothoracic radiologist reference standard. AI test-retest accuracy was assessed on immediate sequential pre- and post-contrast CT aortas in 29 patients. Real-world AI clinical impact was assessed in 197 non-gated CT chests with comparison to manual radiology reports and patient electronic records to establish the detection rate of previously unknown aortopathy.ResultsAI analysis was feasible in 97% (421/436 scans). Diagnostic accuracy of AI was good to excellent (intraclass correlation coefficient [ICC] 0.87–0.96). Test-retest accuracy of expert reader (ICC 0.88–0.98) and AI (ICC 0.82–0.94) for the ascending aorta were good to excellent. AI identified new aortopathy in 27% of non-gated scans versus routine clinical reports (X2 51, p<0.001).ConclusionAI provides measurements of the thoracic aorta comparable to an expert reader with similar reliability. Whereas manual reporting of non-dedicated studies significantly underreports thoracic aneurysms, AI identifies previously unknown aortopathy in a significant proportion (27%) of non-gated CT chests. The use of AI software in non-dedicated CT chest imaging could support earlier diagnosis of thoracic aneurysms before potentially fatal complications. |
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Bibliography: | British Society of Cardiovascular Imaging Annual Meeting, Bath, 2022 |
ISSN: | 1355-6037 1468-201X |
DOI: | 10.1136/heartjnl-2022-BSCI.26 |