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The diagnostic accuracy of multidetector computed tomography with multiplanar reformatted imaging and virtual cystoscopy in the early detection and evaluation of bladder carcinoma: comparison with conventional cystoscopy

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Abstract

Purpose

To evaluate the diagnostic accuracy of multidetector computed tomography (MDCT) with multiplanar reformatted imaging and virtual cystoscopy (VC) in early detection and evaluation of bladder masses with comparison with conventional cystoscopic findings.

Materials and methods

This prospective study included 35 patients with suspected bladder cancer were studied by computed tomographic cystography (CTC) and virtual cystography (VC) in both the supine and prone positions after distending the bladder with air. The patient population was divided into three groups based on lesion size at conventional cystoscopy (CC). Results of the CT study were compared with those of CC.

Main outcome measures

Sensitivity, specificity, positive, and negative predictive value was used to study the association between VC and CC as regarding lesion detection.

Results

The size of the tumors varied from 2 mm to occupying more than three quarters of the bladder. Of the 71 lesions detected on CC, 47 lesions were positive in histopathology, 28 were <4 mm (19 were positive and 9 were negative for neoplasia), and four of these were missed on VC, with one of 3 mm missed on CC and correctly located by VC. Thus, all lesions of >4 mm were detected by VC and 24 of 28 <4 mm. The locations of all were correctly described at VC when compared with CC. The overall sensitivity of VC vs. CC was 94.36%, specificity 71.42%, PPV was 97.1%, and NPV was 55.55%.

Conclusion

Cystoscopy remains the standard of reference for the evaluation of the urinary bladder, but MDCT is indicated for examination of patients on whom CC is contraindicated, difficult to perform, unsatisfactory in interpretation, and as an adjuvant tool in the evaluation of areas difficult to assess with CC.

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References

  1. Cheng L, Cheville JC, Neumann RM, et al. (1999) Survival of patients with carcinoma in situ of the urinary bladder. Cancer 85:2469–2474

    Article  PubMed  CAS  Google Scholar 

  2. Soloway MS (1989) Diagnosis and management of superficial bladder cancer. Semin Surg Oncol 5:247–254

    Article  PubMed  CAS  Google Scholar 

  3. American Cancer Society. Cancer facts and figures. Accessed March 18, 2002. http://www.cancer.org/docroot/NWS/content/WS_1_1x_Spirial_CT_Scan_Finds_Bladder_Cancer_-in_Those_at_High_Risk.asp

  4. Johansson SL, Cohen SM (1991) Epidemiology and etiology of bladder cancer. Semin Surg Oncol 713:291–298

    Google Scholar 

  5. Soloway MS, Perito PE (1992) Superficial bladder cancer: diagnosis, surveillance and treatment. J Cell Biochem 16I(suppl):120S–127S

    Article  Google Scholar 

  6. Soloway MS (1987) Selecting initial therapy for bladder cancer. Cancer 60:502–551

    Article  PubMed  CAS  Google Scholar 

  7. Nambirajan T, Sohaib SA, Muller-Pollard C, Reznek R, Chinegwundoh FI (2004) Virtual cystoscopy from computed tomography: a pilot study. BJU Int 94(6):828–831

    Article  PubMed  Google Scholar 

  8. Beer A, Saar B, Rummeny EJ (2003) Tumors of the urinary bladder: technique, current use and perspective of MR and CT cystography. Abdom Imaging 28(6):868–876

    Article  PubMed  CAS  Google Scholar 

  9. Oosterlinck W, Lobel B, Jakse G, et al. (2002) Guidelines on bladder cancer. Eur Urol 41:105–112

    Article  PubMed  Google Scholar 

  10. Panebianco V, Osimani M, Lisi D, et al. (2009) 64-Detector row CT cystography with virtual cystoscopy in the detection of bladder carcinoma: preliminary experience in selected patients. Radiol Med 114(1):52–69

    Article  PubMed  CAS  Google Scholar 

  11. Fenlon HM, Bell TV, Ahari HK, Hussain S (1997) Virtual cystoscopy: early clinical experience. Radiology 205:272–275

    PubMed  CAS  Google Scholar 

  12. Narumi Y, Kumatani T, Sawai Y, et al. (1996) The bladder and bladder tumours: imaging with three-dimensional display of helical CT data. AJR Am J Roentgenol 167:1134–1135

    PubMed  CAS  Google Scholar 

  13. Karabacak OR, Cakmakci E, Ozturk U, et al. (2011) Virtual cystoscopy: the evaluation of bladder lesions with computed tomographic virtual cystoscopy. Can Urol Assoc J 5(1):34–37

    Article  PubMed  Google Scholar 

  14. Vining DJ, Zagoria RJ, Liu K, et al. (1996) CT cystoscopy: an innovation in bladder imaging. AJR Am J Roentgenol 166:409–410

    PubMed  CAS  Google Scholar 

  15. Gualdi GF, Casciani E, Rojas M, et al. (1999) Virtual cystoscopy of bladder neoplasms. Preliminary experience. Radiol Med (Torino) 97:506–509

    CAS  Google Scholar 

  16. Calhoun PS, Kuszyk BS, Heath DG, et al. (1999) Three-dimensional volume rendering of spiral CT data: theory and method. Radiographics 19:745–764

    PubMed  CAS  Google Scholar 

  17. Masulović D, Saranović Dj, Sagić D, et al. (2007) CT endoscopy in urinary bladder lesions detection. Acta Chir Iugosl 54:63–66

    Article  PubMed  Google Scholar 

  18. Marini M, Stasolla A, D’Aprile MR, et al. (2003) CT cystoscopy in the evaluation of bladder tumours. J Exp Clin Cancer Res 22:35–39

    PubMed  CAS  Google Scholar 

  19. Song JH, Francis IR, Platt JF, et al. (2001) Bladder tumour detection at virtual cystoscopy. Radiology 218:95–100

    PubMed  CAS  Google Scholar 

  20. Kim JK, Ahn JH, Park T, et al. (2002) Virtual cystoscopy of the contrast material-filled bladder in patients with gross hematuria. AJR Am J Roentgenol 179:763–768

    PubMed  Google Scholar 

  21. Browne RF, Murphy SM, Grainger R, et al. (2005) CT cystography and virtual cystoscopy in the assessment of new and recurrent bladder neoplasms. Eur J Radiol 53:147–153

    Article  PubMed  CAS  Google Scholar 

  22. Tsili ACh, Tsampoulas C, Chatziparaskevas N, et al. (2004) Computed tomographic virtual cystoscopy for the detection of urinary bladder neoplasms. Eur Urol 46:579–585

    Article  PubMed  Google Scholar 

  23. Fielding JR, Hoyte LX, Okon SA, et al. (2002) Tumour detection by virtual cystoscopy with color mapping of bladder wall thickness. J Urol 167:559–562

    Article  PubMed  Google Scholar 

  24. Bernhardt TM, Krause UW, Philipp C, Allhoff EP, Rapp-Bernhardt U (2003) Virtual cystoscopy with reduced tube current: an alternative to cystoscopy? Rofo 175:1106–1111

    Article  PubMed  CAS  Google Scholar 

  25. Hussain S, Loeffler JA, Babayan RK, et al. (1997) Thin-section helical computed tomography of the bladder: initial clinical experience with virtual reality imaging. Urology 50:685–688

    Article  PubMed  CAS  Google Scholar 

  26. Allan JD, Tolley DA (2001) Virtual endoscopy in urology. Curr Opin Urol 11:189–192

    Article  PubMed  CAS  Google Scholar 

  27. Tsampoulas C, Tsili AC, Giannakis D, et al. (2008) 16-MDCT cystoscopy in the evaluation of neoplasms of the urinary bladder. AJR Am J Roentgenol 190:729–735

    Article  PubMed  Google Scholar 

  28. Dillman JR, Caoili EM, Cohan RH (2007) Multi-detector CT urography: a one-stop renal and urinary tract imaging modality. Abdom Imaging 32(4):519–529

    Article  PubMed  Google Scholar 

  29. Panebianco V, Sciarra A, Di Martino M, et al. (2010) Bladder carcinoma: MDCT cystography and virtual cystoscopy. Abdom Imaging 35(3):257–264

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Radiology, El Minya University, El Minya High Road, El Minya, Egypt

    Mohammed Farghally Amin

  2. Department of Urology, El Minya University, El Minya, Egypt

    Amr Mohamed Abd El Hamid

Authors
  1. Mohammed Farghally Amin
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  2. Amr Mohamed Abd El Hamid
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Correspondence to Mohammed Farghally Amin.

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Amin, M.F., Abd El Hamid, A.M. The diagnostic accuracy of multidetector computed tomography with multiplanar reformatted imaging and virtual cystoscopy in the early detection and evaluation of bladder carcinoma: comparison with conventional cystoscopy. Abdom Imaging 38, 184–192 (2013). https://doi.org/10.1007/s00261-012-9902-6

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  • DOI: https://doi.org/10.1007/s00261-012-9902-6

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