Clinical Radiology
Volume 65, Issue 8 , Pages 609-615 , August 2010

Detection of small pulmonary nodules on chest radiographs: efficacy of dual-energy subtraction technique using flat-panel detector chest radiography

  • S. Oda

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • Corresponding Author InformationGuarantor and correspondent: Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan. Tel.: +81 96 373 5261; fax: +81 96 362 4330.
    • ,
  • K. Awai

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • Y. Funama

      Affiliations

    • Department of Radiological Sciences, School of Health Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • D. Utsunomiya

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • Y. Yanaga

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • K. Kawanaka

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • T. Nakaura

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • T. Hirai

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • R. Murakami

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan
    • ,
  • H. Nomori

      Affiliations

    • Division of General Thoracic Surgery, Department of Surgery, School of Medicine, Keio University, Tokyo, Japan
    • ,
  • Y. Yamashita

      Affiliations

    • Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1 1 1 Honjo, Kumamoto 860 8556, Japan

Received 28 October 2009 ,Revised 20 February 2010 ,Accepted 25 February 2010.

References 

  1. Kaneko M, Eguchi K, Ohmatsu H, et al. Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology. 1996;201:798–802
  2. Quekel LG, Kessels AG, Goei R, et al. Miss rate of lung cancer on the chest radiograph in clinical practice. Chest. 1999;115:720–724
  3. Sone S, Takashima S, Li F, et al. Mass screening for lung cancer with mobile spiral computed tomography scanner. Lancet. 1998;351:1242–1245
  4. Woodring JH. Pitfalls in the radiologic diagnosis of lung cancer. AJR Am J Roentgenol. 1990;154:1165–1175
  5. Tsubamoto M, Kuriyama K, Kido S, et al. Detection of lung cancer on chest radiographs: analysis on the basis of size and extent of ground-glass opacity at thin-section CT. Radiology. 2002;224:139–144
  6. Shah PK, Austin JH, White CS, et al. Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology. 2003;226:235–241
  7. Ide K, Mogami H, Murakami T, et al. Detection of lung cancer using single-exposure dual-energy subtraction chest radiography. Radiat Med. 2007;25:195–201
  8. Uemura M, Miyagawa M, Yasuhara Y, et al. Clinical evaluation of pulmonary nodules with dual-exposure dual-energy subtraction chest radiography. Radiat Med. 2005;23:391–397
  9. Bacher K, Smeets P, Bonnarens K, et al. Dose reduction in patients undergoing chest imaging: digital amorphous silicon flat-panel detector radiography versus conventional film-screen radiography and phosphor-based computed radiography. AJR Am J Roentgenol. 2003;181:923–929
  10. Henschke CI, Yankelevitz DF, Mirtcheva R, et al. CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. AJR Am J Roentgenol. 2002;178:1053–1057
  11. Metz CE, Herman BA, Shen JH. Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. Stat Med. 1998;17:1033–1053
  12. Kelcz F, Zink FE, Peppler WW, et al. Conventional chest radiography vs dual-energy computed radiography in the detection and characterization of pulmonary nodules. AJR Am J Roentgenol. 1994;162:271–278
  13. Tagashira H, Arakawa K, Yoshimoto M, et al. Detectability of lung nodules using flat panel detector with dual energy subtraction by two shot method: evaluation by ROC method. Eur J Radiol. 2007;64:279–284
  14. Ricke J, Fischbach F, Freund T, et al. Clinical results of CsI-detector-based dual-exposure dual energy in chest radiography. Eur Radiol. 2003;13:2577–2582
  15. Rühl R, Wozniak MM, Werk M, et al. CsI-detector-based dual-exposure dual energy in chest radiography for lung nodule detection: results of an international multicenter trial. Eur Radiol. 2008;18:1831–1839
  16. Noguchi M, Morikawa A, Kawasaki M, et al. Small adenocarcinoma of the lung. Histologic characteristics and prognosis. Cancer. 1995;75:2844–2852
  17. Floyd CE, Warp RJ, Dobbins JT, et al. Imaging characteristics of an amorphous silicon flat-panel detector for digital chest radiography. Radiology. 2001;218:683–688
  18. Hamer OW, Volk M, Zorger Z, et al. Amorphous silicon, flat-panel, x-ray detector versus storage phosphor-based computed radiography: contrast-detail phantom study at different tube voltages and detector entrance doses. Invest Radiol. 2003;38:212–220
  19. Suzuki K, Abe H, MacMahon H, et al. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging. 2006;25:406–416
  20. Oda S, Awai K, Suzuki K, et al. Detection of small pulmonary nodules on chest radiographs: effect of rib suppression by a massive training artificial neural network (MTANN) technique on the performance of radiologists. AJR Am J Roentgenol. 2009;193:W397–402

PII: S0009-9260(10)00117-0

doi: 10.1016/j.crad.2010.02.012

Clinical Radiology
Volume 65, Issue 8 , Pages 609-615 , August 2010

Article Tools

* Image Usage & Resolution