RESEARCH ARTICLE


Comparison of Chest Dual-Energy Subtraction Digital Tomosynthesis and Conventional Digital Tomosynthesis for the Detection of Simulated Pulmonary Nodules with Calcifications: Phantom Study



Tsutomu Gomi*, 1, Masahiro Nakajima2, Hiroki Fujiwara2
1 School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan
2 Dokkyo Medical University Hospital, Koshigaya, Saitama, Japan


© 2011 Gomi et al.;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the School of Allied Health Sciences, Kitasato University, Kitasato 1-15-1, Minami-ku, Sagamihara, Kanagawa 252-0373, Japan; Tel: +81 (0)42-778-9617; Fax: +81 (0)42-778-9628; E-mail: gomi@kitasato-u.ac.jp


Abstract

To compare the effectiveness of chest dual-energy subtraction digital tomosynthesis (DES-DT) with that of conventional digital tomosynthesis for the detection of calcifications superimposed over simulated pulmonary nodules. A DES-DT system with pulsed X-rays and rapid kV switching was used to examine calcifications in simulated pulmonary nodules. Low-voltage, high-voltage, and soft-tissue or bone-subtracted tomograms of the desired layer thicknesses were reconstructed from the image data acquired during a single tomographic scan, bone-subtracted images, and a scan angle of 40°. Our analysis took into account the signal-to-noise ratio (SNR) of the different degrees of calcification in the simulated pulmonary nodules. For DES-DT, the SNR for the simulated pulmonary nodules increased about 63%. Based on the results of receiver operating characteristic performance analysis, the detection ability of our DES-DT was significantly better than that of conventional digital tomosynthesis (P < 0.03). The study results confirmed with a further study to assess influence of reconstruction and filtering for detection of simulated nodules. DES-DT provided greater sensitivity than conventional digital tomosynthesis.

Keywords: Tomosynthesis, dual-energy subtraction, pulmonary nodules.