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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

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Abstract

The purpose of this study was to investigate the diagnostic accuracy of non-overlapping 10-mm axial and coronal maximum intensity projections (MIP) in comparison with standard axial 1-mm and 5-mm slices in the detection of pulmonary nodules. Sixty patients with suspected nodules who underwent multislice spiral CT of the chest were evaluated. Axial 1-mm and 5-mm slices as well as non-overlapping 10-mm axial/coronal MIPs were interpreted independently by three blinded radiologists. After initial review, a retrospective consensus session was performed for agreement on final nodule counts using the axial 1-mm slices as gold standard. Small nodules of less than 5 mm in size were most accurately detected by the axial MIPs. Receiver operating characteristic (ROC) analysis of these small nodules showed that 5-mm slices were not capable of a statistically significant differentiation of nodules from other focal lesions in two observers (p=0.034 and p=0.012, respectively) whereas 1-mm slices and coronal/axial MIPs did allow a statistically significant differentiation in all observers (p<0.001). Nodules larger than 5 mm were equally well depicted with all modalities. Non-overlapping 10-mm axial MIPs improve the accuracy in the detection of small pulmonary nodules.

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References

  1. Austin JH, Muller NL, Friedman PJ, Hansell DM, Naidich DP, Remy-Jardin M, Webb WR, Zerhouni EA (1996) Glossary of terms for CT of the lungs: recommendations of the Nomenclature Committee of the Fleischner Society. Radiology 200:327–331

    PubMed  Google Scholar 

  2. Remy-Jardin M, Remy J, Giraud F, Marquette CH (1993) Pulmonary nodules: detection with thick-section spiral CT versus conventional CT. Radiology 187:513–520

    PubMed  Google Scholar 

  3. Tan BB, Flaherty KR, Kazerooni EA, Iannettoni MD (2003) The solitary pulmonary nodule. Chest 123:89S–96S

    Article  PubMed  Google Scholar 

  4. Fischbach F, Knollmann F, Griesshaber V, Freund T, Akkol E, Felix R (2003) Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness. Eur Radiol 13:2378–2383

    Article  PubMed  Google Scholar 

  5. Gruden JF, Ouanounou S, Tigges S, Norris SD, Klausner TS (2002) Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT. Am J Roentgenol 179:149–157

    PubMed  Google Scholar 

  6. Diederich S, Lentschig MG, Overbeck TR, Wormanns D, Heindel W (2001) Detection of pulmonary nodules at spiral CT: comparison of maximum intensity projection sliding slabs and single-image reporting. Eur Radiol 11:1345–1350

    Article  PubMed  Google Scholar 

  7. Coakley FV, Cohen MD, Johnson MS, Gonin R, Hanna MP (1998) Maximum intensity projection images in the detection of simulated pulmonary nodules by spiral CT. Br J Radiol 71:135–140

    PubMed  Google Scholar 

  8. Eibel R, Turk TR, Kulinna C, Herrmann K, Reiser MF (2001) Multidetector-row CT of the lungs: multiplanar reconstructions and maximum intensity projections for the detection of pulmonary nodules. Rofo Fortschr Geb Rontgenstrahlen Neuen Bildgeb Verfahr 173:815–821

    Article  Google Scholar 

  9. Remy-Jardin M, Remy J, Artaud D, Deschildre F, Duhamel A (1996) Diffuse infiltrative lung disease: clinical value of sliding-thin-slab maximum intensity projection CT scans in the detection of mild micronodular patterns. Radiology 200:333–339

    PubMed  Google Scholar 

  10. Seltzer SE, Judy PF, Adams DF, Jacobson FL, Stark P, Kikinis R, Swensson RG, Hooton S, Head B, Feldman U (1995) Spiral CT of the chest: comparison of cine and film-based viewing. Radiology 197:73–78

    PubMed  Google Scholar 

  11. Eibel R, Turk T, Kulinna C, Schopf UJ, Bruning R, Reiser MF (2001) Value of multiplanar reformations (MPR) in multi-slice spiral CT of the lung. Rofo Fortschr Geb Rontgenstrahlen Neuen Bildgeb Verfahr 173:57–64

    Article  Google Scholar 

  12. Awai K, Murao K, Ozawa A, Komi M, Hayakawa H, Hori S, Nishimura Y (2004) Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists’ detection performance. Radiology 230:347–352

    PubMed  Google Scholar 

  13. Armato SG III, McLennan G, McNitt-Gray MF, Meyer CR, Yankelevitz D, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Reeves AP, Croft BY, Clarke LP (2004) Lung image database consortium: developing a resource for the medical imaging research community. Radiology 232:739–748

    PubMed  Google Scholar 

  14. Marten K, Grillhösl A, Seyfarth T, Obenauer S, Rummeny EJ, Engelke C (2005) Computer-assisted detection of pulmonary nodules: evaluation of diagnostic performance using an expert knowledge-based detection system with variable reconstruction slice thickness settings. Eur Radiol 15:203–212

    Article  PubMed  Google Scholar 

  15. Marten K, Seyfarth T, Auer F, Wiener E, Grillhösl A, Obenauer S, Rummeny EJ, Engelke C (2004) 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 14:1930–1938

    Article  PubMed  Google Scholar 

  16. Wormanns D, Ludwig K, Beyer F, Heindel W, Diederich S (2005) Detection of pulmonary nodules at multirow-detector CT: effectiveness of double reading to improve sensitivity at standard-dose and low-dose chest CT. Eur Radiol 15:14–22

    Article  PubMed  Google Scholar 

  17. Diederich S, Wormanns D, Semik M, Thomas M, Lenzen H, Roos N, Heindel W (2002) Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers. Radiology 222:773–781

    PubMed  Google Scholar 

  18. Swensen SJ, Jett JR, Sloan JA, Midthun DE, Hartman TE, Sykes AM, Aughenbaugh GL, Zink FE, Hillman SL, Noetzel GR, Marks RS, Clayton AC, Pairolero PC (2002) Screening for lung cancer with low-dose spiral computed tomography. Am J Respir Crit Care Med 165:508–513

    PubMed  Google Scholar 

  19. Henschke CI, McCauley DI, Yankelevitz DF, Naidich DP, McGuinness G, Miettinen OS, Libby DM, Pasmantier MW, Koizumi J, Altorki NK, Smith JP (1999) Early lung cancer action project: overall design and findings from baseline screening. Lancet 354:99–105

    Article  PubMed  Google Scholar 

  20. Wormanns D, Diederich S (2004) Characterization of small pulmonary nodules by CT. Eur Radiol 14:1380–1391

    PubMed  Google Scholar 

  21. Benjamin MS, Drucker EA, McLoud TC, Shepard JA (2003) Small pulmonary nodules: detection at chest CT and outcome. Radiology 226:489–493

    PubMed  Google Scholar 

  22. Greene RE (1992) Missed lung nodules: lost opportunities for cancer cure. Radiology 182:8–9

    PubMed  Google Scholar 

  23. Diederich S, Semik M, Lentschig MG, Winter F, Scheld HH, Roos N, Bongartz G (1999) Helical CT of pulmonary nodules in patients with extrathoracic malignancy: CT-surgical correlation. Am J Roentgenol 172:353–360

    Google Scholar 

  24. Wormanns D, Diederich S, Lentschig MG, Winter F, Heindel W (2000) Spiral CT of pulmonary nodules: interobserver variation in assessment of lesion size. Eur Radiol 10:710–713

    Article  PubMed  Google Scholar 

  25. Rubin GD (2000) Data explosion: the challenge of multidetector-row CT. Eur J Radiol 36:74–80

    Article  PubMed  Google Scholar 

  26. Jhaveri KS, Saini S, Levine LA, Piazzo DJ, Doncaster RJ, Halpern EF, Jordan PF, Thrall JH (2001) Effect of multislice CT technology on scanner productivity. Am J Roentgenol 177:769–772

    Google Scholar 

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Correspondence to Ray Valencia.

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Valencia, R., Denecke, T., Lehmkuhl, L. et al. 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 16, 325–332 (2006). https://doi.org/10.1007/s00330-005-2871-1

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  • DOI: https://doi.org/10.1007/s00330-005-2871-1

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