International Journal of Clinical Oncology

, Volume 19, Issue 5, pp 928–934 | Cite as

Isomorphic red blood cells using automated urine flow cytometry is a reliable method in diagnosis of bladder cancer

  • Satoru Muto
  • Syo-ichiro Sugiura
  • Akiko Nakajima
  • Akira Horiuchi
  • Masahiro Inoue
  • Keisuke Saito
  • Shuji Isotani
  • Raizo Yamaguchi
  • Hisamitsu Ide
  • Shigeo Horie
Original Article

Abstract

Background

We aimed to identify patients with a chief complaint of hematuria who could safely avoid unnecessary radiation and instrumentation in the diagnosis of bladder cancer (BC), using automated urine flow cytometry to detect isomorphic red blood cells (RBCs) in urine.

Methods

We acquired urine samples from 134 patients over the age of 35 years with a chief complaint of hematuria and a positive urine occult blood test or microhematuria. The data were analyzed using the UF-1000i ® (Sysmex Co., Ltd., Kobe, Japan) automated urine flow cytometer to determine RBC morphology, which was classified as isomorphic or dysmorphic. The patients were divided into two groups (BC versus non-BC) for statistical analysis. Multivariate logistic regression analysis was used to determine the predictive value of flow cytometry versus urine cytology, the bladder tumor antigen test, occult blood in urine test, and microhematuria test.

Results

BC was confirmed in 26 of 134 patients (19.4 %). The area under the curve for RBC count using the automated urine flow cytometer was 0.94, representing the highest reference value obtained in this study. Isomorphic RBCs were detected in all patients in the BC group. On multivariate logistic regression analysis, only isomorphic RBC morphology was significantly predictive for BC (p < 0.001). Analytical parameters such as sensitivity, specificity, positive predictive value, and negative predictive value of isomorphic RBCs in urine were 100.0, 91.7, 74.3, and 100.0 %, respectively.

Conclusion

Detection of urinary isomorphic RBCs using automated urine flow cytometry is a reliable method in the diagnosis of BC with hematuria.

Keyword

Cancer screening 

Notes

Acknowledgments

This study was supported in part by a Grant-in-Aid for Progressive Renal Diseases Research, from the Ministry of Health, Labour and Welfare of Japan.

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Mohr DN, Offord KP, Owen RA et al (1986) Asymptomatic microhematuria and urologic disease: a population-based study. JAMA 256:224–229PubMedCrossRefGoogle Scholar
  2. 2.
    Freni SC, Freni-Titulaer LW (1977) Microhematuria found by mass screening of apparently healthy males. Acta Cytol 21:421–423PubMedGoogle Scholar
  3. 3.
    Cohen RA, Brown RS (2003) Clinical practice. Microscopic hematuria. N Engl J Med 348:2330–2338PubMedCrossRefGoogle Scholar
  4. 4.
    Grossfeld GD, Litwin MS, Wolf JS Jr et al (2001) Evaluation of asymptomatic microscopic hematuria in adults: the American Urological Association best practice policy—part II: patient evaluation, cytology, voided markers, imaging, cystoscopy, nephrology evaluation, and follow-up. Urology 57:604–610PubMedCrossRefGoogle Scholar
  5. 5.
    Lotan Y, Capitanio U, Shariat SF et al (2009) Impact of clinical factors, including a point-of-care nuclear matrix protein-22 assay and cytology, on bladder cancer detection. BJU Int 103:1368–1374PubMedCrossRefGoogle Scholar
  6. 6.
    Grossfeld GD, Litwin MS, Wolf JS et al (2001) Evaluation of asymptomatic microscopic hematuria in adults: the American Urological Association best practice policy—part I: definition, detection, prevalence, and etiology. Urology 57:599–603PubMedCrossRefGoogle Scholar
  7. 7.
    Grossfeld GD, Wolf JS, Litwin MS et al (2001) Asymptomatic microscopic hematuria in adults: summary of the AUA best practice policy recommendations. Am Fam Physician 63:1145–1154PubMedGoogle Scholar
  8. 8.
    Jung H, Gleason JM, Loo RK et al (2011) Association of hematuria on microscopic urinalysis and risk of urinary tract cancer. J Urol 185:1698–1703PubMedCrossRefGoogle Scholar
  9. 9.
    Sutton JM (1990) Evaluation of hematuria in adults. JAMA 263:2475–2480PubMedCrossRefGoogle Scholar
  10. 10.
    Thompson IM (1987) The evaluation of microscopic hematuria: a population-based study. J Urol 138:1189–1190PubMedGoogle Scholar
  11. 11.
    Murakami S, Igarashi T, Hara S et al (1990) Strategies for asymptomatic microscopic hematuria: a prospective study of 1,034 patients. J Urol 144:99–101PubMedGoogle Scholar
  12. 12.
    Loo RK, Lieberman SF, Slezak JM et al (2013) Stratifying risk of urinary tract malignant tumors in patients with asymptomatic microscopic hematuria. Mayo Clin Proc 88:129–138PubMedCrossRefGoogle Scholar
  13. 13.
    Cunderlíková B, Wahlqvist R, Berner A et al (2007) Detection of urinary bladder cancer with flow cytometry and hexaminolevulinate in urine samples. Cytopathology 18:87–95PubMedCrossRefGoogle Scholar
  14. 14.
    Venkat Raman G, Pead L, Lee HA et al (1986) A blind controlled trial of phase-contrast microscopy by two observers for evaluating the source of haematuria. Nephron 44:304–308PubMedCrossRefGoogle Scholar
  15. 15.
    Crop MJ, de Rijke YB, Verhagen PC et al (2010) Diagnostic value of urinary dysmorphic erythrocytes in clinical practice. Nephron Clin Pract 115:c203–c212PubMedCrossRefGoogle Scholar
  16. 16.
    Shichiri M, Hosoda K, Nishio Y et al (1988) Red-cell-volume distribution curves in diagnosis of glomerular and non-glomerular haematuria. Lancet 331:908–911CrossRefGoogle Scholar
  17. 17.
    Pieretti B, Brunati P, Pini B et al (2010) Diagnosis of bacteriuria and leukocyturia by automated flow cytometry compared with urine culture. J Clin Microbiol 48:3990–3996PubMedCrossRefPubMedCentralGoogle Scholar
  18. 18.
    Wang J, Zhang Y, Xu D et al (2010) Evaluation of the Sysmex UF-1000i for the diagnosis of urinary tract infection. Am J Clin Pathol 133:577–582PubMedCrossRefGoogle Scholar
  19. 19.
    De Rosa R, Grosso S, Bruschetta G et al (2010) Evaluation of the Sysmex UF1000i flow cytometer for ruling out bacterial urinary tract infection. Clin Chim Acta 411:1137–1142PubMedCrossRefGoogle Scholar
  20. 20.
    Manoni F, Fornasiero L, Ercolin M et al (2009) Cutoff values for bacteria and leukocytes for urine flow cytometer Sysmex UF-1000i in urinary tract infections. Diagn Microbiol Infect Dis 65:103–107PubMedCrossRefGoogle Scholar
  21. 21.
    Kore RN, Dow CS, Desai KM (1999) A new automated system for urine analysis: a simple, cost-effective and reliable method for distinguishing between glomerular and nonglomerular sources of haematuria. BJU Int 84:454–460PubMedCrossRefGoogle Scholar
  22. 22.
    Angulo JC, Lopez-Rubio M, Guil M et al (1999) The value of comparative volumetric analysis of urinary and blood erythrocytes to localize the source of hematuria. J Urol 162:119–126PubMedCrossRefGoogle Scholar
  23. 23.
    Ohsaki H, Hirakawa E, Kushida Y et al (2010) Can cytological features differentiate reactive renal tubular cells from low-grade urothelial carcinoma cells? Cytopathology 21:326–333PubMedCrossRefGoogle Scholar
  24. 24.
    Kesson AM, Talbott JM, Gyory AZ (1978) Microscopic examination of urine. Lancet 2:809–812PubMedCrossRefGoogle Scholar
  25. 25.
    Davis R, Jones JS, Barocas DA et al (2012) American Urological Association. Diagnosis, evaluation and follow-up of asymptomatic microhematuria (AMH) in adults: AUA guideline. J Urol 188:2473–2481PubMedCrossRefGoogle Scholar
  26. 26.
    Sauter G, Algaba F, Amin M et al (2004) Tumours of the urinary system: non-invasive urothelial neoplasias. In: Eble JN, Sauter G, Epstein Jl, Sesterhenn I (eds) WHO classification of classification of tumors of the urinary system and male genital organs. IARCC Press, Lyon, pp 29–34Google Scholar
  27. 27.
    Higashihara E, Nishiyama T, Horie S et al (2008) Working group for the creation of hematuria guideline: hematuria. Definition and screening test methods. Int J Urol 15:281–284PubMedCrossRefGoogle Scholar
  28. 28.
    Manoni F, Tinello A, Fornasiero L et al (2010) Urine particle evaluation: a comparison between the UF-1000i and quantitative microscopy. Clin Chem Lab Med 48:1107–1111PubMedCrossRefGoogle Scholar
  29. 29.
    Nanos NE, Delanghe JR (2008) Evaluation of Sysmex UF-1000i for use in cerebrospinal fluid analysis. Clin Chim Acta 392:30–33PubMedCrossRefGoogle Scholar
  30. 30.
    Tesser Poloni JA, Bosan IB, Garigali G et al (2012) Urinary red blood cells: not only glomerular or nonglomerular. Nephron Clin Pract 120:c36–c41PubMedCrossRefGoogle Scholar
  31. 31.
    Vasanthakumar V (1990) A study to assess the efficacy of chemoprophylaxis in the prevention of endoscopy-related bacteraemia in patients age 60 and over. Q J Med 75:647–653PubMedGoogle Scholar
  32. 32.
    Messing EM, Young TB, Hunt VB et al (1995) Hematuria home screening: repeat testing results. J Urol 154:57–61PubMedCrossRefGoogle Scholar
  33. 33.
    Khan MA, Shaw G, Paris AMI (2002) Is microscopic haematuria a urological emergency? BJU Int 90:355–357PubMedCrossRefGoogle Scholar
  34. 34.
    Konety BR, Getzenberg RH (2001) Urine based markers of urological malignancy. J Urol 165:600–611PubMedCrossRefGoogle Scholar
  35. 35.
    Rife CC, Farrow GM, Utz DC (1979) Urine cytology of transitional cell neoplasms. Urol Clin North Am 6:599–612PubMedGoogle Scholar
  36. 36.
    Fairley KF, Birch DF (1982) Hematuria: a simple method for identifying glomerular bleeding. Kidney Int 21:105–108PubMedCrossRefGoogle Scholar
  37. 37.
    van den Broek D, Keularts IM, Wielders JP et al (2008) Benefits of the iQ200 automated urine microscopy analyser in routine urinalysis. Clin Chem Lab Med 46:1635–1640PubMedGoogle Scholar
  38. 38.
    Kitamoto Y, Yide C, Tomita M et al (1992) The mechanism of glomerular dysmorphic red cell formation in the kidney. Tohoku J Exp Med 167:93–105PubMedCrossRefGoogle Scholar
  39. 39.
    Elias K, Svatek RS, Gupta S et al (2010) High risk patients with hematuria are not evaluated according to guideline recommendations. Cancer 116:2954–2959PubMedCrossRefPubMedCentralGoogle Scholar

Copyright information

© Japan Society of Clinical Oncology 2013

Authors and Affiliations

  • Satoru Muto
    • 1
  • Syo-ichiro Sugiura
    • 1
  • Akiko Nakajima
    • 1
  • Akira Horiuchi
    • 1
  • Masahiro Inoue
    • 1
  • Keisuke Saito
    • 1
  • Shuji Isotani
    • 1
  • Raizo Yamaguchi
    • 1
  • Hisamitsu Ide
    • 1
  • Shigeo Horie
    • 2
  1. 1.Department of UrologyTeikyo University School of MedicineTokyoJapan
  2. 2.Department of UrologyJuntendo University School of MedicineTokyoJapan

Personalised recommendations