Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
BMC Medical Imaging
Published in: BMC Medical Imaging 1/2016

Open Access 01-12-2016 | Research article

Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography

Authors: Inyoung Song, Jeong Geun Yi, Jeong Hee Park, Kyung Soo Lee, Myung Jin Chung

Published in: BMC Medical Imaging | Issue 1/2016

Login to get access

Abstract

Background

To compare the capability of lung nodule detection and characterization between dual-energy radiography with color-representation (DCR) and conventional gray scale chest radiography (GSR).

Methods

A total of 130 paired chest radiographs (DCR and GSR) obtained from 65 patients (14 with normal scans and 51 with pulmonary nodules) were evaluated. After analysis, 45 non-calcified and 21 calcified nodules were identified. DCR was obtained by adding color space within material-decomposed data (blue for high attenuation and red for low attenuation) and by compounding the manipulated data to one color image. Three radiologists marked suggested nodules on radiographic images and assessed the level of confidence of lesion presence and probability of nodule calcification by using a nine-point rating scale. The jackknife active free-response receiver operating characteristics (JAFROC) analysis was used to evaluate lesion detectability, and multi-reader multi-case receiver operating characteristics (MRMC ROC) analysis was used for the evaluation of the accuracy of nodule calcification prediction.

Results

Figures of merit (FOM) from JAFROC was 0.807 for DCR and 0.811 for GSR, respectively; nodule detectability was not significantly different between DCR and GSR (p = 0.93). Areas under curve (AUC) from MRMC ROC were 0.944 for DCR and 0.828 for GSR, respectively; performance of DCR in predicting lung nodule calcification was significantly higher than that of GSR (p = 0.04).

Conclusions

DCR showed similar performance in terms of lung nodule detection compared with GSR. However, DCR does provide a significant benefit in predicting the presence of nodule calcification.
Literature
1.
Henschke CI, McCauley DI, Yankelevitz DF, Naidich DP, McGuinness G, Miettinen OS, Libby DM, Pasmantier MW, Koizumi J, Altorki NK, et al. Early Lung Cancer Action Project: overall design and findings from baseline screening. Lancet. 1999;354(9173):99–105.CrossRefPubMed
2.
Shah PK, Austin JH, White CS, Patel P, Haramati LB, Pearson GD, Shiau MC, Berkmen YM. Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology. 2003;226(1):235–41.CrossRefPubMed
3.
Quekel LG, Kessels AG, Goei R, van Engelshoven JM. Miss rate of lung cancer on the chest radiograph in clinical practice. Chest. 1999;115(3):720–4.CrossRefPubMed
4.
Austin JH, Romney BM, Goldsmith LS. Missed bronchogenic carcinoma: radiographic findings in 27 patients with a potentially resectable lesion evident in retrospect. Radiology. 1992;182(1):115–22.CrossRefPubMed
5.
Monnier-Cholley L, Arrive L, Porcel A, Shehata K, Dahan H, Urban T, Febvre M, Lebeau B, Tubiana JM. Characteristics of missed lung cancer on chest radiographs: a French experience. Eur Radiol. 2001;11(4):597–605.CrossRefPubMed
6.
Ricke J, Fischbach F, Freund T, Teichgraber U, Hanninen EL, Rottgen R, Engert U, Eichstadt H, Felix R. Clinical results of CsI-detector-based dual-exposure dual energy in chest radiography. Eur Radiol. 2003;13(12):2577–82.CrossRefPubMed
7.
Li F, Engelmann R, Doi K, MacMahon H. Improved detection of small lung cancers with dual-energy subtraction chest radiography. AJR Am J Roentgenol. 2008;190(4):886–91.CrossRefPubMed
8.
Niklason LT, Hickey NM, Chakraborty DP, Sabbagh EA, Yester MV, Fraser RG, Barnes GT. Simulated pulmonary nodules: detection with dual-energy digital versus conventional radiography. Radiology. 1986;160(3):589–93.CrossRefPubMed
9.
Kelcz F, Zink FE, Peppler WW, Kruger DG, Ergun DL, Mistretta CA. Conventional chest radiography vs dual-energy computed radiography in the detection and characterization of pulmonary nodules. AJR Am J Roentgenol. 1994;162(2):271–8.CrossRefPubMed
10.
Szucs-Farkas Z, Patak MA, Yuksel-Hatz S, Ruder T, Vock P. Single-exposure dual-energy subtraction chest radiography: detection of pulmonary nodules and masses in clinical practice. Eur Radiol. 2008;18(1):24–31.CrossRefPubMed
11.
Ishigaki T, Sakuma S, Ikeda M. One-shot dual-energy subtraction chest imaging with computed radiography: clinical evaluation of film images. Radiology. 1988;168(1):67–72.CrossRefPubMed
12.
Fraser RG, Hickey NM, Niklason LT, Sabbagh EA, Luna RF, Alexander CB, Robinson CA, Katzenstein AL, Barnes GT. Calcification in pulmonary nodules: detection with dual-energy digital radiography. Radiology. 1986;160(3):595–601.CrossRefPubMed
13.
Chakraborty DP, Berbaum KS. Observer studies involving detection and localization: modeling, analysis, and validation. Med Phys. 2004;31(8):2313–30.CrossRefPubMed
14.
Chakraborty DP. A status report on free-response analysis. Radiat Prot Dosim. 2010;139(1–3):20–5.CrossRef
15.
Berger WG, Erly WK, Krupinski EA, Standen JR, Stern RG. The solitary pulmonary nodule on chest radiography: can we really tell if the nodule is calcified? AJR Am J Roentgenol. 2001;176(1):201–4.CrossRefPubMed
16.
Obuchowski NA. New methodological tools for multiple-reader ROC studies. Radiology. 2007;243(1):10–2.CrossRefPubMed
17.
Dorfman DD, Berbaum KS, Metz CE. Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. Investig Radiol. 1992;27(9):723–31.CrossRef
18.
McAdams HP, Samei E, Dobbins III J, Tourassi GD, Ravin CE. Recent Advances in Chest Radiography 1. Radiology. 2006;241(3):663–83.CrossRefPubMed
19.
Hansell DM, Lynch DA, McAdams HP, Bankier AA. Imaging of Diseases of the Chest, 5 edn. Philadelphia: Mosby Elsevier; 2010.
20.
Ergun DL, Mistretta CA, Brown DE, Bystrianyk RT, Sze WK, Kelcz F, Naidich DP. Single-exposure dual-energy computed radiography: improved detection and processing. Radiology. 1990;174(1):243–9.CrossRefPubMed
21.
Gilkeson RC, Sachs PB. Dual energy subtraction digital radiography: technical considerations, clinical applications, and imaging pitfalls. J Thorac Imaging. 2006;21(4):303–13.CrossRefPubMed
22.
Ruhl R, Wozniak MM, Werk M, Laurent F, Mager G, Montaudon M, Pattermann A, Scherrer A, Tasu JP, Pech M, et al. CsI-detector-based dual-exposure dual energy in chest radiography for lung nodule detection: results of an international multicenter trial. Eur Radiol. 2008;18(9):1831–9.CrossRefPubMed
23.
Kumar SG, Garg MK, Khandelwal N, Gupta P, Gupta D, Aggarwal AN, Bansal SC. Role of digital tomosynthesis and dual energy subtraction digital radiography in detecting pulmonary nodules. Eur J Radiol. 2015;84(7):1383–91.CrossRefPubMed
24.
Kashani H, Varon CA, Paul NS, Gang GJ, Van Metter R, Yorkston J, Siewerdsen JH. Diagnostic performance of a prototype dual-energy chest imaging system ROC analysis. Acad Radiol. 2010;17(3):298–308.CrossRefPubMed
25.
Prins HR, Katz JL, Billmeyer Jr FW. Investigations in colored radiography. Am J Roentgenol Radium Therapy, Nucl Med. 1966;98(4):966–78.CrossRef
26.
Bonann LJ, Dowdy AH. LogEtronic simplification in simulated color radiography. Radiology. 1958;70(4):585–7.CrossRefPubMed
27.
28.
Pirkey EL, Parker Jr JE, Shook FW. Color as a teaching aid for diagnostic roentgenology. Radiology. 1951;57(1):81–2.CrossRefPubMed
29.
30.
31.
Ogata Y, Naito H, Tomiyama N, Hamada S, Tsubamoto M, Inoue A, Murai S, Sumikawa H, Ueguchi T, Matsumoto M, et al. Evaluation of usefulness of color digital summation radiography for solitary pulmonary nodules on chest radiographs. Radiat Med. 2006;24(5):351–7.CrossRefPubMed
32.
Ogata Y, Naito H, Tomiyama N, Hamada S, Kozuka T, Koyama M, Tsubamoto M, Murai S, Ueguchi T, Matsumoto M, et al. Evaluation of the usefulness of color digital summation radiography in temporally sequential digital radiographs: a phantom study. Radiat Med. 2006;24(3):182–6.CrossRefPubMed
33.
Fischbach F, Freund T, Röttgen R, Engert U, Felix R, Ricke J. Dual-Energy Chest Radiography with a Flat-Panel Digital Detector: Revealing Calcified Chest Abnormalities. Am J Roentgenol. 2003;181(6):1519–24.CrossRef
34.
Metadata
Title
Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography
Authors
Inyoung Song
Jeong Geun Yi
Jeong Hee Park
Kyung Soo Lee
Myung Jin Chung
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2016
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-016-0155-7

Other articles of this Issue 1/2016

BMC Medical Imaging 1/2016 Go to the issue

Technical advance

A semi-automated measuring system of brain diffusion and perfusion magnetic resonance imaging abnormalities in patients with multiple sclerosis based on the integration of coregistration and tissue segmentation procedures

Reviewer acknowledgement

BMC Medical Imaging reviewer acknowledgement 2015

Research article

Clinical value of endoluminal ultrasonography in the diagnosis of rectovaginal fistula

Research Article

A deformable template method for describing and averaging the anatomical variation of the human nasal cavity

Technical advance

Near-infrared operating lamp for intraoperative molecular imaging of a mediastinal tumor

TECHNICAL ADVANCE

Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier