The efficient workflow to decrease the manual microscopic examination of urine sediment using on-screen review of images

Cho, Eun-Jung; Ko, Dae-Hyun; Lee, Woochang; Chun, Sail; Lee, Hae Kyung; Min, Won‐Ki

doi:10.1016/j.clinbiochem.2018.04.008

Cited by 12 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The automation of the diagnostic process has contributed to lower labor costs and inter-observer variability. 15 The NMP22 test was introduced for detection of a nuclear mitotic apparatus protein elevated in bladder cancer. 16,17 In newly diagnosed or recurrent TCC, the sensitivity and specificity of assay ranged from 33%-98% and 40%-92%, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Fully automated platforms based on the imaging analysis have also improved diagnosis over traditional manual procedures. The automation of the diagnostic process has contributed to lower labor costs and inter‐observer variability 15 . The NMP22 test was introduced for detection of a nuclear mitotic apparatus protein elevated in bladder cancer 16,17 .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

An ensemble approach of urine sediment image analysis and NMP22 test for detection of bladder cancer cells

Cho

Bang

Kim

et al. 2020

Clinical Laboratory Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

An ensemble approach of urine sediment image analysis and NMP22 test for detection of bladder cancer cells

Cho

Bang

Kim

et al. 2020

Clinical Laboratory Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sysmex UF‐1000i (TOA Medical Electronics, Kobe, Japan) flow cytometer makes urine particle counting more precise and effective. Several guidelines recommended that negative results of WBC or RBC from urine strips can be reported without checking by manual microscopy, and optimizing workflow also helps to decrease the microscopic examination of the samples with positive results of urine strips . A few laboratories have amended their own criterions and make them suitable for joint detection of urine flow cytometer and urine dipstick to reduce manual urine microscopy analysis.…”

Section: Discussionmentioning

confidence: 99%

“…Routine urinalysis is frequently performed to help diagnosis and monitor urine tract and kidney diseases. Automated urinalysis flow cytometer such as Sysmex UF series has been adopted in clinical laboratory for almost two decades . When reporting the cell counts, the UF‐1000i system provides two different kinds of units, which are “cells per μL (non‐centrifugal urine)” and “cells per HPF (by calculated automatically).” The value of UF series is obviously higher than those obtained with microscopic examination, which brings confusion to clinicians when they are not used to the units of UF series …”

Section: Introductionmentioning

confidence: 99%

The standardization of the report for urine cell counting—A converting factor for Sysmex UF‐1000i

Wang

Zhao

et al. 2019

Clinical Laboratory Analysis

View full text Add to dashboard Cite

BackgroundMulticenter laboratory may apply both automated flow cytometer and microscopy for urinalysis. Automated flow cytometer such as Sysmex UF‐1000i evaluates particles with native urine without centrifugation and reports as “counts per μL.” Microscopic examination recommended as the reference method for urine sediment analysis reports results as “counts per HPF (or μL).” Moreover, some results from flow cytometer are needed to be checked visually under microscopy. Therefore, it is worth to establish the consistency of the results from these two methods.MethodsUrine specimens from 412 patients were examined with Sysmex UF‐1000i and manual microscopy using FAST‐READ disposable counting chambers. White blood cell (WBC) and red blood cell (RBC) counting results from UF‐1000i after transferred with the converting factor (0.297) we estimated were compared with that from microscopic examination. Method comparison was performed using Passing‐Bablok analysis.ResultsAfter transferred with the converting factor (0.297), cell counting results from UF‐1000i showed a good correlation with that derived by the reference method (R 2 was 0.868 for RBCs (P < 0.001), 0.882 for WBCs (P < 0.001)). Passing‐Bablok analysis showed no systematic difference (intercept estimate, −1 [95%CI, −7 to 3] and slightly proportional (slope estimate, 1.2 [95%CI, 1.0 to 1.7]) bias between concentrations of cells measured by manual microscopy and Sysmex UF‐1000i using the converting factor.ConclusionThe converting factor (0.297) helps to transfer “counts per μL (non‐centrifugal urine)” to “counts per μL (equal to centrifugal urine),” and to keep the urine particle analysis results of Sysmex UF‐1000i consistent with the results from the reference method.

show abstract

“…Moreover, more detailed analyzers use digital-image-based systems, including most mainstream manufacturers, such as Roche, Siemens, and Beckman. [4,6]. However, this method still fails to completely solve the low sensitivity of urine cytology [7].…”

Section: Introductionmentioning

confidence: 99%

A Microfluidic Detection System for Bladder Cancer Tumor Cells

Zhao

et al. 2019

Micromachines

View full text Add to dashboard Cite

The clinical characteristics of excreted tumor cells can be found in the urine of bladder cancer patients, meaning the identification of tumor cells in urine can assist in bladder cancer diagnosis. The presence of white blood cells and epithelial cells in the urine interferes with the recognition of tumor cells. In this paper, a technique for detecting cancer cells in urine based on microfluidics provides a novel approach to bladder cancer diagnosis. The bladder cancer cell line (T24) and MeT-5A were used as positive bladder tumor cells and non-tumor cells, respectively. The practicality of the tumor cell detection system based on microfluidic cell chip detection technology is discussed. The tumor cell (T24) concentration was around 1 × 10 4 to 300 × 10 4 cells/mL. When phosphate buffer saline (PBS) was the diluted solution, the tumor cell detected rate was 63-71% and the detection of tumor cell number stability (coefficient of variation, CV%) was 6.7-4.1%, while when urine was the diluted solution, the tumor cell detected rate was 64-72% and the detection of tumor cell number stability (CV%) was 6.3-3.9%. In addition, both PBS and urine are tumor cell dilution fluid solutions. The sample was analyzed at a speed of 750 microns per hour. Based on the above experiments, a system for detecting bladder cancer cells in urine by microfluidic analysis chip technology was reported. The rate of recognizing bladder cancer cells reached 68.4%, and the speed reached 2 mL/h.

show abstract

The efficient workflow to decrease the manual microscopic examination of urine sediment using on-screen review of images

Cited by 12 publications

References 18 publications

An ensemble approach of urine sediment image analysis and NMP22 test for detection of bladder cancer cells

An ensemble approach of urine sediment image analysis and NMP22 test for detection of bladder cancer cells

The standardization of the report for urine cell counting—A converting factor for Sysmex UF‐1000i

A Microfluidic Detection System for Bladder Cancer Tumor Cells

Contact Info

Product

Resources

About