To review the sensitivity and positive predictive value of a lung nodule CT computer-aided detection (CAD) method at Mackay Base Hospital.

Background: Serial CT Chest studies are a key investigation in Oncology patients as lung nodules may represent metastatic disease[1]. Additionally, lung cancer is the leading cause of cancer death in both men and women[2]. Specifically, 5200 male and 3900 female lung cancer deaths occurred in 2019 in Australia[3]. When detected early curative intervention is often possible[4]. CT chest studies may be used directly for the indication of nodule detection or surveillance, however CT Chest imaging performed for other indications also provides a valuable opportunity for...

Among the 76 cases meeting study requirements the mean age was 63.4 (range (24 to 87) and there was an even gender split (M: 37, F: 39). The primary outcomes were: CAD Sensitivity: 86% CAD PPV: 27% [Fig 4] Secondary outcomes included: The average number of nodules detected by CAD was markedly greater than that documented by the Radiologist (2.2 vs 0.7 per study). CAD identified a total of 122 nodules and the Radiologists documented a total of 51 nodules. On review of the size...

Our study yielded a lung nodule sensitivity of 86% and positive predicted value of 27% for a CAD in the practical setting at a Queensland Hospital. We conclude that this high sensitivity demonstrates the excellent potential utility of this tool, particularly given the high morbidity and mortality of lung cancer and the greater options for treatment when identified early. If a Radiologist were to miss a nodule, this would suggest that there is a good chance the CAD system would raise it as a candidate...

M. Dentry: Nothing to disclose

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