The Importance of Urine Cytology

Rathert, Ines

doi:10.3238/arztebl.m2021.0229

Cited by 1 publication

(2 citation statements)

References 3 publications

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“…The greatest obstacles to BC treatment are the high tumor recurrence rates and lack of non-invasive, inexpensive, and sensitive specific biological markers for tumor monitoring 17 , 18 . Over the past decades, the limitations of cystoscopy, including invasiveness and high cost, have led to the development of several urinary-based diagnostic methods for BC surveillance, including urinary cytology 10 , 19 , fluorescence in situ hybridization 20 , 21 , urinary protein detection (BTA-STAT) 22 , 23 , NMP22 24 – 26 , and others 27 . However, all these biomarkers have limitations and must be combined with others for successful malignancy monitoring, which adds to the financial burden on patients 27 .…”

Section: Discussionmentioning

confidence: 99%

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The UF-5000 Atyp.C parameter is an independent risk factor for bladder cancer

Zhang,

Zhu,

et al. 2024

Sci Rep

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Bladder carcinoma (BC) accounts for > 90% of all urothelial cancers. Pathological diagnosis through cytoscopic biopsy is the gold standard, whereas non-invasive diagnostic tools remain lacking. The “Atyp.C” parameter of the Sysmex UF-5000 urine particle analyzer represents the ratio of nucleus to cytoplasm and can be employed to detect urinary atypical cells. The present study examined the association between urinary Atyp.C values and BC risk. This two-center, retrospective case–control study identified clinical primary or newly recurrent BC (study period, 2022–2023; n = 473) cases together with controls with urinary tract infection randomly matched by age and sex (1:1). Urinary sediment differences were compared using non-parametric tests. The correlations between urinary Atyp.C levels and BC grade or infiltration were analyzed using Spearman’s rank correlation. The BC risk factor odds ratio of Atyp.C was calculated using conditional logistic regression, and potential confounder effects were adjusted using stepwise logistic regression (LR). Primary risk factors were identified by stratified analysis according to pathological histological diagnosis. The mean value of urinary Atyp.C in BC cases (1.30 ± 3.12) was 8.7 times higher than that in the controls (0.15 ± 0.68; P < 0.001). Urinary Atyp.C values were positively correlated with BC pathological grade and invasion (r = 0.360, P < 0.001; r = 0.367, P < 0.001). Urinary Atyp.C was an independent risk factor for BC and closely related with BC pathological grade and invasion. Elevated urinary Atyp.C values was an independent risk factor for BC. Our findings support the use of Atyp.C as a marker that will potentially aid in the early diagnosis and long-term surveillance of new and recurrent BC cases.

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Section: Discussionmentioning

confidence: 99%

“…Thus, it can be difficult for cytopathologists to make a definitive diagnosis. The ambiguous diagnostic category of “atypical cells” has caused great distress to cytopathologists and clinicians 9 , 10 . Moreover, urine cytology is a time-consuming and wearisome examination 11 .…”

Section: Introductionmentioning

confidence: 99%

The UF-5000 Atyp.C parameter is an independent risk factor for bladder cancer

Zhang,

Zhu,

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

The Importance of Urine Cytology

Cited by 1 publication

References 3 publications

The UF-5000 Atyp.C parameter is an independent risk factor for bladder cancer

The UF-5000 Atyp.C parameter is an independent risk factor for bladder cancer

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