Skip to main content

Advertisement

Log in

Tumor detection and serosal invasion of bladder cancer: role of three-dimensional volumetric reconstructed US

  • Published:
Abdominal Imaging Aims and scope Submit manuscript

Abstract

Background

Accurate evaluation of local extent in bladder cancer is important to determine the optimal therapeutic strategy and to predict the outcome of treatment. The purpose of this study is to evaluate the accuracy of 3D volumetric reconstructed US in the assessment of tumor detection and serosal invasion in patients with bladder cancer.

Methods

A total of 14 patients with findings of bladder cancer determined with the use of cystoscopy was examined with the use of bladder two-dimensional (2D) US and subsequent 3D US. US findings were compared with cystoscopy findings and the pathological stage after a TURB or a radical cystectomy in a double-blinded manner.

Results

The sensitivity of preoperative tumor staging was 67.9% for 2D US and sensitivity was 78.6% for 3D US. 3D US was superior sensitivity than 2D US (P < 0.05). The accuracy for serosal invasion in staging of bladder cancer was demonstrated for 88.9% in 2D US and for 100% in 3D US.

Conclusions

The accuracy for serosal invasion (T3b) in the staging of bladder cancer was demonstrated for 88.9% in 2D US and for 100% in 3D US. 3D volumetric reconstructed US is a non-invasive and accurate technique for tumor detection of bladder cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Arslan H, Ceylan K, Harman M, et al. (2006) Virtual computed tomography cystoscopy in bladder pathologies. Int Braz J Urol 32:147–154; discussion 154

    Article  PubMed  Google Scholar 

  2. Chatterton K, Ray E, O’Brien TS (2006) Fluorescence diagnosis of bladder cancer. Br J Nurs 15:595–597

    CAS  PubMed  Google Scholar 

  3. Wong-You-Cheong JJ, Woodward PJ, Manning MA, et al. (2006) From the archives of the AFIP: neoplasmas of the urinary bladder: radiologic–pathologic correlation. Radiographics 26:553–580

    Article  PubMed  Google Scholar 

  4. Wagner B, Nesslauer T, Bartsch G, et al. (2005) Staging bladder carcinoma by three-dimensional ultrasound rendering. Ultrasound Med Biol 31:301–305

    Article  PubMed  Google Scholar 

  5. Koraitim M, Kamal B, Metwalli N, et al. (1995) Transurethral ultrasonographic assessment of bladder carcinoma: its value and limitation. J Urol 154:375–378

    Article  CAS  PubMed  Google Scholar 

  6. Kyle KF (1982) Ultrasound in the staging of bladder tumours: a review after 6 years. Br J Urol 54:65

    Article  CAS  PubMed  Google Scholar 

  7. Venz S, Ilg J, Ebert T, et al. (1996) Determining the depth of infiltration in urinary bladder carcinoma with contrast medium enhanced dynamic magnetic resonance tomography. With reference to postoperative findings and inflammation. Urologe A 35:297–304

    CAS  PubMed  Google Scholar 

  8. Tsili A, 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 

  9. Westenfelder M, Rosset K, Pelz K (1987) Development of nosocomial and iatrogenic urinary tract infections (UTI) following urological interventions. A prospective clinical study. Scand J Urol Nephrol Suppl 104:59–63

    CAS  PubMed  Google Scholar 

  10. Clark KR, Higgs MJ (1990) Urinary infection following out-patient flexible cystoscopy. Br J Urol 66:503–505

    Article  CAS  PubMed  Google Scholar 

  11. Paik ML, Scolieri MJ, Brown SL, et al. (2000) Limitations of computerized tomography in staging invasive bladder cancer before radical cystectomy. J Urol 163:1693–1696

    Article  CAS  PubMed  Google Scholar 

  12. 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 

  13. Riccabona M, Nelson TR, Pretorius DH, et al. (1995) Distance and volume measurement using three-dimensional ultrasonography. J Ultrasound Med 14:881–886

    CAS  PubMed  Google Scholar 

  14. Murphy WM, Grignon DJ, Perlman EJ (2004) Tumors of the kidney, bladder, and related urinary structures. Washington DC: American Registry of Pathology, p. 394

    Google Scholar 

  15. Tekes A, Kamel IR, Imam K, et al. (2003) MR imaging features of transitional cell carcinoma of the urinary bladder. AJR Am J Roentgenol 180:771–777

    PubMed  Google Scholar 

  16. Chan L, Lin WM, Uerpairojkit B, et al. (1997) Evaluation of adnexal masses using three-dimensional ultrasonographic technology: preliminary report. J Ultrasound Med 16:349–354

    CAS  PubMed  Google Scholar 

  17. Pretorius DH, Nelson TR (1995) Fetal face visualization using three-dimensional ultrasonography. J Ultrasound Med 14:349–356

    CAS  PubMed  Google Scholar 

  18. Salo JO, Kivisaari L, Lehtonen T (1998) Comparison of magnetic resonance imaging with computed tomography and intravesical ultrasound in staging bladder cancer. Urol Radiol 10:167–172

    Article  Google Scholar 

  19. Elliot TL, Downey DB, Tong S, et al. (1996) Accuracy of prostate volume measurements in vitro using three-dimensional ultrasound. Acad Radiol 3:401–406

    Article  CAS  PubMed  Google Scholar 

  20. Pretorius DH, Nelson TR (1994) Prenatal visualization of cranial sutures and fontanelles with three-dimensional ultrasonography. J Ultrasound Med 13:871–876

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seong Sook Hong.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Park, H.J., Hong, S.S., Kim, J.H. et al. Tumor detection and serosal invasion of bladder cancer: role of three-dimensional volumetric reconstructed US. Abdom Imaging 35, 265–270 (2010). https://doi.org/10.1007/s00261-009-9529-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-009-9529-4

Keywords

Navigation