Small lung cancers: Improved detection by use of bone suppression imaging - Comparison with dual-energy subtraction chest radiography

Radiology

Volumn 261, Issue 3, 2011, Pages 937-949

  Li, Feng ^a   Engelmann, Roger ^a   Pesce, Lorenzo L ^a   Doi, Kunio ^a   Metz, Charles E ^a   MacMahon, Heber ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BONE SUPPRESSION IMAGING; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DUAL ENERGY SUBTRACTION CHEST RADIOGRAPHY; FEMALE; HUMAN; INFORMED CONSENT; INTERMETHOD COMPARISON; LARGE CELL CARCINOMA; LUNG ADENOCARCINOMA; LUNG CANCER; LUNG NON SMALL CELL CANCER; LUNG SMALL CELL CANCER; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SMALL LUNG CANCER; SQUAMOUS CELL CARCINOMA; THORAX RADIOGRAPHY;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, DUAL-ENERGY SCANNED PROJECTION; RADIOGRAPHY, THORACIC; ROC CURVE; SUBTRACTION TECHNIQUE;

EID: 81555204323     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.11110192     Document Type: Article

References (25)

1. McAdams HP, Samei E, Dobbins J 3rd, Tourassi GD, Ravin CE. Recent advances in chest radiography. Radiology 2006;241(3):663-683. (Pubitemid 46190532)
2. MacMahon H, Li F, Engelmann R, Roberts R, Armato S. Dual energy subtraction and temporal subtraction chest radiography. J Thorac Imaging 2008;23(2):77-85.
3. 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):271-278. (Pubitemid 24065418)
4. 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. (Pubitemid 351217274)
5. 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):886-891. (Pubitemid 351571484)
6. Li F, Engelmann R, Metz CE, Doi K, MacMahon H. Lung cancers missed on chest radiographs: results obtained with a commercial computer-aided detection program. Radiology 2008;246(1):273-280. (Pubitemid 350305053)
7. Metz CE, Herman BA, Shen JH. Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. Stat Med 1998;17(9):1033-1053. (Pubitemid 28203832)
8. Dorfman DD, Berbaum KS, Metz CE. Receiver operating characteristic rating analysis: generalization to the population of readers and patients with the jackknife method. Invest Radiol 1992;27(9):723-731.
9. Hillis SL, Berbaum KS, Metz CE. Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis. Acad Radiol 2008;15(5):647-661. (Pubitemid 351515893)
10. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143(1):29-36. (Pubitemid 12142173)
11. Metz CE. Quantification of failure to demonstrate statistical significance: the usefulness of confidence intervals. Invest Radiol 1993;28(1):59-63. (Pubitemid 23086390)
12. Shah PK, Austin JHM, White CS, et al. Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology 2003;226(1):235-241. (Pubitemid 36163935)
13. Li F, Engelmann R, Doi K, MacMahon H. Small nodular lung cancers on chest radiographs: obscuration by bones and mean size at the time of detection (abstr). In: Radiological Society of North America scientific assembly and annual meeting program. Oak Brook, Ill: Radiological Society of North America, 2007; 326.
14. Loog M, van Ginneken B, Schilham AMR. Filter learning: application to suppression of bony structures from chest radiographs. Med Image Anal 2006;10(6):826-840. (Pubitemid 44804130)
15. Suzuki K, Abe H, MacMahon H, Doi K. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging 2006;25(4):406-416.
16. MacMahon H, Engelmann R, Behlen FM, et al. Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test. Radiology 1999;213(3):723-726.
17. Quekel LG, Kessels AG, Goei R, van Engelshoven JM. Detection of lung cancer on the chest radiograph: a study on observer performance. Eur J Radiol 2001;39(2):111-116. (Pubitemid 32755929)
18. Monnier-Cholley L, Carrat F, Cholley BP, Tubiana JM, Arrivé L. Detection of lung cancer on radiographs: receiver operating characteristic analyses of radiologists', pulmonologists', and anesthesiologists' performance. Radiology 2004;233(3):799-805.
19. Kundel HL, Nodine CF, Krupinski EA. Searching for lung nodules: visual dwell indicates locations of false-positive and false-negative decisions. Invest Radiol 1989;24(6):472-478. (Pubitemid 19160372)
20. Manning D, Barker-Mill SC, Donovan T, Crawford T. Time-dependent observer errors in pulmonary nodule detection. Br J Radiol 2006;79(940):342-346.
21. Kakeda S, Kamada K, Hatakeyama Y, et al. Effect of temporal subtraction technique on interpretation time and diagnostic accuracy of chest radiography. AJR Am J Roentgenol 2006;187(5):1253-1259. (Pubitemid 44630829)
22. Oestmann JW, Greene R, Kushner DC, Bourgouin PM, Linetsky L, Llewellyn HJ. Lung lesions: correlation between viewing time and detection. Radiology 1988;166(2):451-453. (Pubitemid 18030757)
23. Kobayashi T, Xu XW, MacMahon H, Metz CE, Doi K. Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology 1996;199(3):843-848. (Pubitemid 26157494)
24. Obuchowski NA, Meziane M, Dachman AH, Lieber ML, Mazzone PJ. What's the control in studies measuring the effect of computer-aided detection (CAD) on observer performance? Acad Radiol 2010;17(6):761-767.
25. Glantz SA. Primer of biostatistics. 5th ed. New York, NY : McGraw-Hill, 2002.