1999
DOI: 10.1159/000045446
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Differential Diagnosis between Glomerular and Nonglomerular Hematuria by Automated Urinary Flow Cytometer

Abstract: Objective, fast and easy methods have not been established in the examination of urine sediment to differentiate between glomerular and nonglomerular hematuria. In this study, we used a newly developed automated urinary flow cytometer that can clearly recognize red blood cells (RBC), white blood cells, epithelial cells, bacteria and crystals by their size and fluorescence intensity without sedimentation. 98 urine samples from 31 glomerular and 67 nonglomerular lesions were analyzed by the device, and the crite… Show more

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Cited by 21 publications
(17 citation statements)
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“…We also tried to evaluate whether flow cytometry is useful in the analysis of erythrocyte dysmorphism by applying the Kitasato criteria (6,7 ). However, this system relies on erythrocyte volume and size, and the flow cytometer distinguishes erythrocytes on the basis of cellular diameter but cannot recognize dysmorphic erythrocytes with altered shape, such as acanthocytes or codocytes (8 ).…”
mentioning
confidence: 99%
“…We also tried to evaluate whether flow cytometry is useful in the analysis of erythrocyte dysmorphism by applying the Kitasato criteria (6,7 ). However, this system relies on erythrocyte volume and size, and the flow cytometer distinguishes erythrocytes on the basis of cellular diameter but cannot recognize dysmorphic erythrocytes with altered shape, such as acanthocytes or codocytes (8 ).…”
mentioning
confidence: 99%
“…Auch die Volumenbestimmung der im Urin gefundenen Erythrozyten [26], die Untersuchung mittels Flow-Zytometrie [27] und die Proteinuriedifferenzierung [28] können wertvolle Hinweise auf die Hämaturiequelle geben, sind jedoch vergleichsweise aufwendig und der konventionellen Mikroskopie des Geübten hinsichtlich Sensitivität und Spezifität nicht überlegen.…”
Section: Bladder Neoplasm · Hematuria · Diagnosticsunclassified
“…Phase contrast microscopy of red blood cells (RBCs) in urine is the standard practice for diagnosis of haematuria, but the method is subjective, less accurate and the criteria are variable [2]. Recently automated urine flowcytometer is being used for diagnosis of origin of haematuria where the size of the red cells is determined by estimating the forward scatter (FSC) intensity of the cells without taking into account the variation in their shape and hemoglobin content [4]. We have undertaken a study to evaluate the urine red cells with the help of an automated computerized image analysis system [5] for determination of (1) size (area, area equivalent diameter and perimeter), (2) variation in shape in the form of form factor and (3) hemoglobin content by integrated optical density (IOD).…”
mentioning
confidence: 99%