Improved detection of focal pneumonia by chest radiography with bone suppression imaging

European Radiology

Volumn 22, Issue 12, 2012, Pages 2729-2735

  Li, Feng ^a   Engelmann, Roger ^a   Pesce, Lorenzo ^a   Armato III, Samuel G ^a   MacMahon, Heber ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Image processing, computer assisted; Pneumonia; Radiography, thoracic; ROC curve; Task performance and analysis

Indexed keywords

ADULT; AGED; ARTICLE; BONE SUPPRESSION IMAGING; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; FEMALE; FOCAL PNEUMONIA; HUMAN; IMAGE PROCESSING; IMAGING SYSTEM; INTERMETHOD COMPARISON; MALE; OBSERVATIONAL STUDY; PNEUMONIA; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; THORAX RADIOGRAPHY;

ADULT; AGED; BONE AND BONES; FEMALE; HUMANS; MALE; MIDDLE AGED; PNEUMONIA; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; RETROSPECTIVE STUDIES; ROC CURVE; SOFTWARE;

EID: 84870368873     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-012-2550-y     Document Type: Article

References (29)

1. Katz DS, Leung AN (1999) Radiology of pneumonia. Clin Chest Med 20: 549-562
2. Vilar J, Domingo ML, Soto C, Cogollos J (2004) Radiology of bacterial pneumonia. Eur J Radiol 51: 102-113
3. Trotman-Dickenson B (2003) Radiology in the intensive care unit (Part 1). J Intensiv Care Med 18: 198-210
4. Trotman-Dickenson B (2003) Radiology in the intensive care unit (Part 2). J Intensiv Care Med 18: 239-252
5. Schaefer-Prokop C, Neitzel U, Venema HW, Uffmann MU, Prokop M (2008) Digital chest radiography: an update on modern technology, dose containment and control of image quality. Eur Radiol 18: 1818-1830
6. MacMahon H, Li F, Engelmann R, Robeerts R, Armato S (2008) Dual-energy subtraction and temporal subtraction chest radiography. J Thorac Imaging 23: 77-85
7. Armato SG III, Doshi DJ, Engelmann R, Caligiuri P, MacMahon H (2006) Temporal subtraction of dual-energy chest radiographs. Med Phys 33: 1911-1919
8. Szucs-Farkas Z, Patak MA, Yuksel-Hatz S, Ruder T, Vock P (2008) Single-exposure dual-energy subtraction chest radiography: detection of pulmonary nodules and masses in clinical practice. Eur Radiol 18: 24-31
9. Kashani H, Varon CA, Paul NS et al (2010) Diagnostic performance of a prototype dual-energy chest imaging system: ROC analysis. Acad Radiol 17: 298-308
10. Li F, Engelmann R, Doi K, MacMahon H (2008) Improved detection of small lung cancers with dual-energy subtraction chest radiography. AJR 190: 886-891
11. Tsubamoto M, Johkoh T, Kozuka T et al (2002) Temporal subtraction for the detection of hazy pulmonary opacities on chest radiography. AJR 179: 467-471
12. Kakeda S, Nakamura K, Kamada K et al (2002) Improved detection of lung nodules by using a temporal subtraction technique. Radiology 224: 145-151
13. Loog M, Ginneken BV, Schilham AMR (2006) Filter learning: application to suppression of bony structures from chest radiographs. Med Image Anal 10: 826-840
14. Suzuki K, Abe H, MacMahon H, Doi K (2006) Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging 25: 406-416
15. Oda S, Awai K, Suzuki K et al (2009) Performance of radiologists in detection of small pulmonary nodules on chest radiographs: effect of rib suppression with a massive-training artificial neural network. AJR 193: 886-891
16. Li F, Hara T, Shiraishi J, Engelmann R, MacMahon H, Doi K (2011) Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: ROC analysis with and without localization. AJR 196:W535-W541
17. Li F, Engelmann R, Pesce L, Doi K, Metz CE, MacMahon H (2011) Improved detection of small lung cancers by use of bone suppression imaging: comparison with dual-energy subtraction chest radiographs. Radiology 261: 937-949
18. Metz CE, Herman BA, Shen JH (1998) Maximum-likelihood estimation of receiver operating (ROC) curves from continuously distributed data. Stat Med 17: 1033-1053
19. Dorfman DD, Berbaum KS, Metz CE (1992) ROC rating analysis: generalization to the population of readers and cases with the jackknife method. Invest Radiol 27: 723-731
20. Hillis SL, Berbaun KS, Metz CE (2008) Recent development in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis. Acad Radiol 15: 647-661
21. Starr SJ, Metz CE, Lusted LB, Goodenough DJ (1975) Visual detection and localization of radiographic images. Radiology 116: 533-538
22. Metz CE, Pan X (1999) "Proper" binormal ROC curves: theory and maximum-likelihood estimation. Math Psychol 43: 1-33
23. Young M, Marrie TJ (1994) Interobserver variability in the interpretation of chest roentgenograms of patients with possible pneumonia. Arch Intern Med 154: 2729-2732
24. Albaum MN, Hill LC, Murphy M et al (1996) Interobserver reliability of the chest radiograph in community-acquired pneumonia. Chest 110: 343-350
25. Ojutiku O, Haramati LB, Rakoff S, Sprayregen S (2005) Radiology residents' on-call interpretation of chest radiographs for pneumonia. Acad Radiol 12: 658-664
26. Austin JHM, Romney BM, Goldsmith LS (1992) Missed bronchogenic carcinoma: radiographic findings in 27 patients with potentially resectable lesion evident in retrospect. Radiology 182: 115-122
27. Monnier-cholley L, Carrat F, Cholley BP, Tubiana JM, Arrive L (2004) Detection of lung cancer on radiographs: receiver operating characteristic analysis of radiologists', pulmonologists' and anesthesiologists' performance. Radiology 233: 799-805
28. Li F, Arimura H, Suzuki K et al (2005) Computer-aided diagnosis for detection of missed peripheral lung cancers on CT: ROC and LROC analysis. Radiology 237: 684-690
29. Shiraishi J, Pesce LL, Metz CE, Doi K (2009) On experimental design and data analysis in receiver operating characteristic (ROC) studies: lessons learned from papers published in RADIOLOGY from 1997 to 2006. Radiology 253: 822-830