Isomorphic Red Blood Cells Using Automated Urine Flow Cytometry is a Reliable Method in Diagnosis of Bladder Cancer

Overview

Journal Int J Clin Oncol

Specialty Oncology

Date 2013 Oct 10

PMID 24105457

Citations 2

Authors

Satoru Muto

Syo-Ichiro Sugiura

Akiko Nakajima

Akira Horiuchi

Masahiro Inoue

Keisuke Saito

Shuji Isotani

Raizo Yamaguchi

Hisamitsu Ide

Shigeo Horie

Affiliations

Soon will be listed here.

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.

Citing Articles

Comparison of the clinical performance of the Atyp.C parameter of the UF-5000 fully automated urine particle analyzer with that of microscopic urine sediment analysis.

Shukuya K, Morita Y, Hisasue T, Ono Y, Tomiyasu S, Kurano M Pract Lab Med. 2023; 36:e00328.

PMID: 37705588 PMC: 10495530. DOI: 10.1016/j.plabm.2023.e00328.

Phenotype of Urine Sediment Cells in Patients with Bladder Cancer.

Zukov R, Savchenko A, Slepov E, Semenov E, Kozina Y, Mazaev A Bull Exp Biol Med. 2023; 174(4):473-477.

PMID: 36890332 DOI: 10.1007/s10517-023-05732-2.

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