Computer-aided detection of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction

European Journal of Radiology
Mark O WielpützBertram J Jobst

Abstract

To evaluate the influence of exposure parameters and raw-data based iterative reconstruction (IR) on the performance of computer-aided detection (CAD) of pulmonary nodules on chest multidetector computed tomography (MDCT). Seven porcine lung explants were inflated in a dedicated ex vivo phantom shell and prepared with n=162 artificial nodules of a clinically relevant volume and maximum diameter (46-1063 μl, and 6.2-21.5 mm). n=118 nodules were solid and n=44 part-solid. MDCT was performed with different combinations of 120 and 80 kV with 120, 60, 30 and 12 mA*s, and reconstructed with both filtered back projection (FBP) and IR. Subsequently, 16 datasets per lung were subjected to dedicated CAD software. The rate of true positive, false negative and false positive CAD marks was measured for each reconstruction. The rate of true positive findings ranged between 88.9-91.4% for FBP and 88.3-90.1% for IR (n.s.) with most exposure settings, but was significantly lower with the combination of 80 kV and 12 mA*s (80.9% and 81.5%, respectively, p<0.05). False positive findings ranged between 2.3-8.1 annotations per lung. For nodule volumes <200 μl the rate of true positives was significantly lower than for >300 μl (p<0.05). Similarly, it...Continue Reading

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Citations

Sep 27, 2016·European Journal of Radiology·Joseph BenzakounMarie-Pierre Revel
Oct 25, 2016·European Journal of Radiology·Takeshi KuboHiroto Hatabu
Dec 22, 2017·European Respiratory Review : an Official Journal of the European Respiratory Society·Anna Rita LariciLorenzo Bonomo
Jan 17, 2021·European Journal of Radiology·Stephan P BlazisCarine O Martins Jarnalo

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