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Published in: Journal of Digital Imaging 1/2016

01-02-2016

Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules

Authors: Steve G. Langer, Brian D. Graner, Beth A. Schueler, Kenneth A. Fetterly, James M. Kofler, Jayawant N. Mandrekar, Brian J. Bartholmai

Published in: Journal of Imaging Informatics in Medicine | Issue 1/2016

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Abstract

Thoracic computed tomography (CT) is considered the gold standard for detection lung pathology, yet its efficacy as a screening tool in regards to cost and radiation dose continues to evolve. Chest radiography (CXR) remains a useful and ubiquitous tool for detection and characterization of pulmonary pathology, but reduced sensitivity and specificity compared to CT. This prospective, blinded study compares the sensitivity of digital tomosynthesis (DTS), to that of CT and CXR for the identification and characterization of lung nodules. Ninety-five outpatients received a posteroanterior (PA) and lateral CXR, DTS, and chest CT at one care episode. The CXR and DTS studies were independently interpreted by three thoracic radiologists. The CT studies were used as the gold standard and read by a fourth thoracic radiologist. Nodules were characterized by presence, location, size, and composition. The agreement between observers and the effective radiation dose for each modality was objectively calculated. One hundred forty-five nodules of greatest diameter larger than 4 mm and 215 nodules less than 4 mm were identified by CT. DTS identified significantly more >4 mm nodules than CXR (DTS 32 % vs. CXR 17 %). CXR and DTS showed no significant difference in the ability to identify the smaller nodules or central nodules within 3 cm of the hilum. DTS outperformed CXR in identifying pleural nodules and those nodules located greater than 3 cm from the hilum. Average radiation dose for CXR, DTS, and CT were 0.10, 0.21, and 6.8 mSv, respectively. Thoracic digital tomosynthesis requires significantly less radiation dose than CT and nearly doubles the sensitivity of that of CXR for the identification of lung nodules greater than 4 mm. However, sensitivity and specificity for detection and characterization of lung nodules remains substantially less than CT. The apparent benefits over CXR, low cost, rapid acquisition, and minimal radiation dose of thoracic DTS suggest that it may be a useful procedure. Work-up of a newly diagnosed nodule will likely require CT, given its superior cross-sectional characterization. Further investigation of DTS as a diagnostic, screening, and surveillance tool is warranted.
Literature
1.
go back to reference Jemal A, Siegel R, Ward E, Murray T, Xu J, Thun MJ: Cancer statistics, 2007. CA: a Cancer Journal for Clinicians 57:43–66, 2007 Jemal A, Siegel R, Ward E, Murray T, Xu J, Thun MJ: Cancer statistics, 2007. CA: a Cancer Journal for Clinicians 57:43–66, 2007
2.
go back to reference Henschke CI, McCauley DI, Yankelevitz DF, et al: Early Lung Cancer Action Project: overall design and findings from baseline screening. [see comment]. Lancet 354:99–105, 1999CrossRefPubMed Henschke CI, McCauley DI, Yankelevitz DF, et al: Early Lung Cancer Action Project: overall design and findings from baseline screening. [see comment]. Lancet 354:99–105, 1999CrossRefPubMed
3.
go back to reference International Early Lung Cancer Action Program I, Henschke CI, Yankelevitz DF, et al: Survival of patients with stage I lung cancer detected on CT screening. [see comment] [erratum appears in N Engl J Med. 2008 Apr 24;358(17):1862; PMID: 18385492]. New England Journal of Medicine 355:1763–1771, 2006CrossRef International Early Lung Cancer Action Program I, Henschke CI, Yankelevitz DF, et al: Survival of patients with stage I lung cancer detected on CT screening. [see comment] [erratum appears in N Engl J Med. 2008 Apr 24;358(17):1862; PMID: 18385492]. New England Journal of Medicine 355:1763–1771, 2006CrossRef
4.
go back to reference Aberle DR, Adams AM, Berg CD, et al: Reduced lung-cancer mortality with low-dose computed tomographic screening. New England Journal of Medicine 365:395–409, 2011 Aberle DR, Adams AM, Berg CD, et al: Reduced lung-cancer mortality with low-dose computed tomographic screening. New England Journal of Medicine 365:395–409, 2011
5.
go back to reference Bartholmai BJ, Koo CW, Johnson GB, White DB, Raghunath SM, Rajagopalan S, Moynagh MR, Lindell RM, Hartman TE: Pulmonary nodule characterization, including computer analysis and quantitative features. Journal of Thoracic Imaging 30(2):139–56, 2015 Bartholmai BJ, Koo CW, Johnson GB, White DB, Raghunath SM, Rajagopalan S, Moynagh MR, Lindell RM, Hartman TE: Pulmonary nodule characterization, including computer analysis and quantitative features. Journal of Thoracic Imaging 30(2):139–56, 2015
6.
go back to reference Dobbins 3rd, JT, Godfrey DJ: Digital x-ray tomosynthesis: current state of the art and clinical potential. Physics in Medicine & Biology 48:R65–106, 2003CrossRef Dobbins 3rd, JT, Godfrey DJ: Digital x-ray tomosynthesis: current state of the art and clinical potential. Physics in Medicine & Biology 48:R65–106, 2003CrossRef
7.
go back to reference Vikgren J, Zachrisson S, Svalkvist A, et al: Comparison of chest tomosynthesis and chest radiography for detection of pulmonary nodules: human observer study of clinical cases. Radiology 249:1034–1041, 2008CrossRefPubMed Vikgren J, Zachrisson S, Svalkvist A, et al: Comparison of chest tomosynthesis and chest radiography for detection of pulmonary nodules: human observer study of clinical cases. Radiology 249:1034–1041, 2008CrossRefPubMed
8.
go back to reference Svalkvist A, Zachrisson S, Mansson L, Bath M: Investigation of the dosimetry of chest tomosynthesis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7258, 2009 Svalkvist A, Zachrisson S, Mansson L, Bath M: Investigation of the dosimetry of chest tomosynthesis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7258, 2009
9.
go back to reference Lindell RM, Hartman TE, Swensen SJ, et al: Five-year lung cancer screening experience: CT appearance, growth rate, location, and histologic features of 61 lung cancers.[see comment]. Radiology 242:555–562, 2007CrossRefPubMed Lindell RM, Hartman TE, Swensen SJ, et al: Five-year lung cancer screening experience: CT appearance, growth rate, location, and histologic features of 61 lung cancers.[see comment]. Radiology 242:555–562, 2007CrossRefPubMed
10.
go back to reference Hart D, Jones D, Wall B: Normalized organ doses for medical X-ray examinations calculated using Monte Carlo Techniques. In: National Radiological Protection Board (NRPB) Report, NRPB-SR 262. HMSO, London, 1994 Hart D, Jones D, Wall B: Normalized organ doses for medical X-ray examinations calculated using Monte Carlo Techniques. In: National Radiological Protection Board (NRPB) Report, NRPB-SR 262. HMSO, London, 1994
11.
go back to reference McCollough C, al. E. The Measurement, Reporting, and Management of Radiation Dose in CT. American Association of Physicists in Medicine 2007; AAPM Report No. 96 McCollough C, al. E. The Measurement, Reporting, and Management of Radiation Dose in CT. American Association of Physicists in Medicine 2007; AAPM Report No. 96
12.
go back to reference MacMahon H, Austin JH, Gamsu G, et al: Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.[see comment]. Radiology 237:395–400, 2005CrossRefPubMed MacMahon H, Austin JH, Gamsu G, et al: Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.[see comment]. Radiology 237:395–400, 2005CrossRefPubMed
13.
go back to reference Zhao F, Zeng Y, Peng G, et al: Experimental study of detection of nodules showing ground-glass opacity and radiation dose by using anthropomorphic chest phantom: digital tomosynthesis and multidetector CT. J Comput Assist Tomogr 36:523–7, 2012CrossRefPubMed Zhao F, Zeng Y, Peng G, et al: Experimental study of detection of nodules showing ground-glass opacity and radiation dose by using anthropomorphic chest phantom: digital tomosynthesis and multidetector CT. J Comput Assist Tomogr 36:523–7, 2012CrossRefPubMed
14.
go back to reference Gordic S, Morsbach F: Ultralow-dose chest computed tomography for pulmonary nodule detection: First performance evaluation of single energy scanning with spectral shaping. Invest Radiol 49:465–473, 2014CrossRefPubMed Gordic S, Morsbach F: Ultralow-dose chest computed tomography for pulmonary nodule detection: First performance evaluation of single energy scanning with spectral shaping. Invest Radiol 49:465–473, 2014CrossRefPubMed
Metadata
Title
Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules
Authors
Steve G. Langer
Brian D. Graner
Beth A. Schueler
Kenneth A. Fetterly
James M. Kofler
Jayawant N. Mandrekar
Brian J. Bartholmai
Publication date
01-02-2016
Publisher
Springer US
Published in
Journal of Imaging Informatics in Medicine / Issue 1/2016
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-015-9818-0

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