Effect of slab thickness on the CT detection of pulmonary nodules: Use of sliding thin-slab maximum intensity projection and volume rendering

American Journal of Roentgenology

Volumn 192, Issue 5, 2009, Pages 1324-1329

  Kawel, Nadine ^a,b   Seifert, Burkhardt ^c   Luetolf, Marcus ^a   Boehm, Thomas ^a  

^a KANTONSSPITAL GRAUBÜNDEN   (Switzerland)

^b UNIVERSITY HOSPITAL BASEL   (Switzerland)

^c UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

CT technique; Lung cancer; Lung nodules; Maximum intensity projection; Slab thickness; Volume rendering

Indexed keywords

ACCUPAQUE; IODINE; IOHEXOL; UNCLASSIFIED DRUG; CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ADULT; ARTICLE; CANCER DIAGNOSIS; CONTROLLED STUDY; FEMALE; HEALTH SURVEY; HUMAN; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; RESPIRATORY TRACT EXAMINATION; SENSITIVITY ANALYSIS; ADOLESCENT; AGED; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; LUNG TUMOR; METHODOLOGY; MIDDLE AGED; NONPARAMETRIC TEST; PROSPECTIVE STUDY; RADIOGRAPHY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CONTRAST MEDIA; FEMALE; HUMANS; IOHEXOL; LUNG NEOPLASMS; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; STATISTICS, NONPARAMETRIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 65649090236     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/AJR.08.1689     Document Type: Article

References (28)

1. Rubin GD. Data explosion: the challenge of multidetector-row CT. Eur J Radiol 2000; 36:74-80
2. Seltzer SE, Judy PF, Adams DF, et al. Spiral CT of the chest: comparison of cine and film-based viewing. Radiology 1995; 197:73-78
3. Gruden JF, Ouanounou S, Tigges S, Norris SD, Klausner TS. Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT. AJR 2002; 179:149-157 (Pubitemid 34694828)
4. Peloschek P, Sailer J, Weber M, Herold CJ, Prokop M, Schaefer-Prokop C. Pulmonary nodules: sensitivity of maximum intensity projection versus that of volume rendering of 3D multidetector CT data. Radiology 2007; 243:561-569 (Pubitemid 46649713)
5. Jankowski A, Martinelli T, Timsit JF, et al. Pulmonary nodule detection on MDCT images: evaluation of diagnostic performance using thin axial images, maximum intensity projections, and computer-assisted detection. Eur Radiol 2007; 17:3148-3156 (Pubitemid 350142340)
6. Yoneda K, Ueno J, Nishihara S, et al. Postprocessing technique with MDCT data improves the accuracy of the detection of lung nodules. Radiat Med 2007; 25:511-515
7. Fishman EK, Ney DR, Heath DG, Corl FM, Horton KM, Johnson PT. Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why. RadioGraphics 2006; 26:905-922
8. Das M, Muhlenbruch G, Mahnken AH, et al. Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. Radiology 2006; 241:564-571 (Pubitemid 44632904)
9. 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; 200:327-331 (Pubitemid 26249879)
10. Beigelman-Aubry C, Hill C, Grenier PA. Management of an incidentally discovered pulmonary nodule. Eur Radiol 2007; 17:449-466 (Pubitemid 46140316)
11. Munden RF, Hess KR. "Ditzels" on chest CT: survey of members of the Society of Thoracic Radiology. AJR 2001; 176:1363-1369 (Pubitemid 32510242)
12. Yang ZG, Sone S, Takashima S, et al. High-resolution CT analysis of small peripheral lung adenocarcinomas revealed on screening helical CT. AJR 2001; 176:1399-1407 (Pubitemid 32510250)
13. 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. Radiology 2005; 237:395-400 (Pubitemid 41507873)
14. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33:159-174 (Pubitemid 8054849)
15. Eibel R, Turk TR, Kulinna C, Herrmann K, Reiser MF. Multidetector-row CT of the lungs: multiplanar reconstructions and maximum intensity projections for the detection of pulmonary nodules [in German]. Rofo 2001; 173:815-821 (Pubitemid 32895857)
16. Diederich S, Lentschig MG, Overbeck TR, Wormanns D, Heindel W. Detection of pulmonary nodules at spiral CT: comparison of maximum intensity projection sliding slabs and single-image reporting. Eur Radiol 2001; 11:1345-1350 (Pubitemid 32755617)
17. Awai K, Murao K, Ozawa A, et al. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. Radiology 2004; 230:347-352 (Pubitemid 38133790)
18. Brown MS, Goldin JG, Rogers S, et al. Computer-aided lung nodule detection in CT: results of large-scale observer test. Acad Radiol 2005; 12:681-686 (Pubitemid 40791084)
19. Brown MS, Goldin JG, Suh RD, McNitt-Gray MF, Sayre JW, Aberle DR. Lung micronodules: automated method for detection at thin-section CT - initial experience. Radiology 2003; 226: 256-262 (Pubitemid 36163938)
20. Lee JW, Goo JM, Lee HJ, Kim JH, Kim S, Kim YT. The potential contribution of a computer-aided detection system for lung nodule detection in multidetector row computed tomography. Invest Radiol 2004; 39:649-655 (Pubitemid 39425956)
21. Marten K, Seyfarth T, Auer F, et al. Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists. Eur Radiol 2004; 14:1930-1938 (Pubitemid 39386644)
22. Rubin GD, Lyo JK, Paik DS, et al. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology 2005; 234:274-283 (Pubitemid 39658396)
23. Yuan R, Vos PM, Cooperberg PL. Computer-aided detection in screening CT for pulmonary nodules. AJR 2006; 186:1280-1287 (Pubitemid 46115734)
24. Wormanns D, Beyer F, Diederich S, Ludwig K, Heindel W. Diagnostic performance of a commercially available computer-aided diagnosis system for automatic detection of pulmonary nodules: comparison with single and double reading. Rofo 2004; 176:953-958 (Pubitemid 38937299)
25. Valencia R, Denecke T, Lehmkuhl L, Fischbach F, Felix R, Knollmann F. Value of axial and coronal maximum intensity projection (MIP) images in the detection of pulmonary nodules by multislice spiral CT: comparison with axial 1-mm and 5-mm slices. Eur Radiol 2006; 16:325-332 (Pubitemid 43149631)
26. Remy-Jardin M, Remy J, Artaud D, Deschildre F, Duhamel A. Diffuse infiltrative lung disease: clinical value of sliding-thin-slab maximum intensity projection CT scans in the detection of mild micronodular patterns. Radiology 1996; 200:333-339 (Pubitemid 26249880)
27. Schreiner S, Paschal CB, Galloway RL. Comparison of projection algorithms used for the construction of maximum intensity projection images. J Comput Assist Tomogr 1996; 20:56-67 (Pubitemid 26044030)
28. Coakley FV, Cohen MD, Johnson MS, Gonin R, Hanna MP. Maximum intensity projection images in the detection of simulated pulmonary nodules by spiral CT. Br J Radiol 1998; 71:135-140 (Pubitemid 28075826)