Bone suppressed images improve radiologists' detection performancefor pulmonary nodules in chest radiographs

European Journal of Radiology

Volumn 82, Issue 12, 2013, Pages 2399-2405

  Schalekamp, Steven ^a   Ginneken, Bram Van ^a   Meiss, Louis ^b   Peters Bax, Liesbeth ^a   Quekel, Lorentz G B A ^b   Snoeren, Miranda M ^a   Tiehuis, Audrey M ^b   Wittenberg, Rianne ^b   Karssemeijer, Nico ^a   Schaefer Prokop, Cornelia M ^a,b  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b MEANDER MEDICAL CENTER   (Netherlands)

Author keywords

Area under curve; Computer assisted; Diagnosis; Lung radiography; Radiography; Solitary pulmonary nodule diagnosis; Solitary pulmonary nodule radiography; Thoracic methods

Indexed keywords

ADULT; ARTICLE; BONE; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; FEMALE; HUMAN; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RADIOLOGIST; RESIDENT; THORAX RADIOGRAPHY;

AREA UNDER CURVE; DIAGNOSIS, COMPUTER-ASSISTED; LUNG/RADIOGRAPHY; RADIOGRAPHY, THORACIC/METHODS; SOLITARY PULMONARY NODULE/DIAGNOSIS; SOLITARY PULMONARY NODULE/RADIOGRAPHY;

AGED; BONE AND BONES; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; OBSERVER VARIATION; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; SUBTRACTION TECHNIQUE;

EID: 84890806985     PISSN: 0720048X     EISSN: 18727727     Source Type: Journal    
DOI: 10.1016/j.ejrad.2013.09.016     Document Type: Article

References (25)

1. Muhm JR, Miller WE, Fontana RS, Sanderson DR, Uhlenhopp MA. Lung can-cer detected during a screening program using four-month chest radiographs.Radiology 1983;148:609-15.
2. Quekel LG, Kessels AG, Goei R, Engelshoven JMv. Miss rate of lung cancer onthe chest radiograph in clinical practice. Chest 1999;115:720-4.
3. Flehinger BJ, Kimmel M, Melamed MR. The effect of surgical treatment onsurvival from early lung cancer. Implications for screening. Chest 1992;101:1013-8.
4. Heelan RT, Flehinger BJ, Melamed MR, et al. Non-small-cell lung cancer: resultsof the New York screening program. Radiology 1984;151:289-93.
5. Monnier-Cholley L, Arrivé L, Porcel A, et al. Characteristics of missed lung canceron chest radiographs: a French experience. Eur Radiol 2001;11:597-605.
6. Shah PK, Austin JHM, White CS, et al. Missed non-small cell lung cancer: radio-graphic findings of potentially resectable lesions evident only in retrospect.Radiology 2003;226:235-41.
7. de Hoop B, Schaefer-Prokop CM, Gietema HA, et al. Screening for lung cancerwith digital chest radiography: sensitivity and number of secondary work-upCT examinations. Radiology 2010;255:629-37.
8. Wu M, Gotway MB, Lee TJ, et al. Features of non-small cell lung carcinomasoverlooked at digital chest radiography. Clin Radiol 2008;63:518-28.
9. Szucs-Farkas Z, Patak MA, Yuksel-Hatz S, Ruder T, Vock P. Improved detection ofpulmonary nodules on energy-subtracted chest radiographs with a commercialcomputer-aided diagnosis software: comparison with human observers. EurRadiol 2010;20:1289-96.
10. Li F, Engelmann R, Pesce LL, Doi K, Metz CE, Macmahon H. Small lung can-cers: improved detection by use of bone suppression imaging-comparisonwith dual-energy subtraction chest radiography. Radiology 2011;261:937-49.
11. Ide K, Mogami H, Murakami T, Yasuhara Y, Miyagawa M, Mochizuki T. Detectionof lung cancer using single-exposure dual-energy subtraction chest radiogra-phy. Radiat Med 2007;25:195-201.
12. Oda S, Awai K, Funama Y, et al. Detection of small pulmonary nodules on chestradiographs: efficacy of dual-energy subtraction technique using flat-paneldetector chest radiography. Clin Radiol 2010;65:609-15.
13. Rühl R, Wozniak MM, Werk M, et al. CsI-detector-based dual-exposure dualenergy in chest radiography for lung nodule detection: results of an interna-tional multicenter trial. Eur Radiol 2008;18:1831-9.
14. Freedman MT, Lo SCB, Seibel JC, Bromley CM. Lung nodules: improved detec-tion with software that suppresses the rib and clavicle on chest radiographs.Radiology 2011;260:265-73.
15. Kuhnigk JM, Dicken V, Bornemann L, et al. Morphological segmentation andpartial volume analysis for volumetry of solid pulmonary lesions in thoracic CTscans. IEEE Trans Med Imaging 2006;25:417-34.
16. Dorfman DD, Berbaum KS, Metz CE. Receiver operating characteristic ratinganalysis: generalization to the population of readers and patients with thejackknife method. Invest Radiol 1992;27:723-31.
17. Roe CA, Metz CE. Variance-component modeling in the analysis of receiveroperating characteristic index estimates. Acad Radiol 1997;4:587-600.
18. Hillis SL, Berbaum KS, Metz CE. Recent developments in theDorfman-Berbaum-Metz procedure for multireader ROC study analysis.Acad Radiol 2008;15:647-61.
19. Austin JH, Müller NL, Friedman PJ, et al. Glossary of terms for CT of the lungs:recommendations of the Nomenclature Committee of the Fleischner Society.Radiology 1996;200:327-31.
20. Ishigaki T, Sakuma S, Horikawa Y, Ikeda M, Yamaguchi H. One-shot dual-energysubtraction imaging. Radiology 1986;161:271-3.
21. Li F, Hara T, Shiraishi J, Engelmann R, MacMahon H, Doi K. Improved detection ofsubtle lung nodules by use of chest radiographs with bone suppression imag-ing: receiver operating characteristic analysis with and without localization.AJR Am J Roentgenol 2011;196:W535-41.
22. Li F, Engelmann R, Pesce L, Armato 3rd SG, Macmahon H. Improved detectionof focal pneumonia by chest radiography with bone suppression imaging. EurRadiol 2012;22:2729-35.
23. Oken MM, Hocking WG, Kvale PA, et al. Screening by chest radiograph and lungcancer mortality: the Prostate, Lung, Colorectal, and Ovarian (PLCO) random-ized trial. JAMA 2011;306:1865-73.
24. Aberle DR, Adams AM, Berg CD, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 2011;365:395-409.
25. Marcus PM, Bergstralh EJ, Fagerstrom RM, et al. Lung cancer mortality inthe Mayo Lung Project: impact of extended follow-up. J Natl Cancer Inst2000;92:1308-16.