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The usefulness of nuclear area in the diagnosis of high-grade urothelial carcinoma cells in voided urine cytology

Sakumo, Kazuma Morihashi, Kenta Nakamura, Akihiro Nukaya, Takuhisa Sumitomo, Makoto Nakamura, Muneo Sofue, Tadashi Haba, Reiji Itoh, Tomoo Kamoshida, Shingo Ohsaki, Hiroyuki 神戸大学

2023.07

概要

Objective The Paris System for Reporting Urinary Cytology considered the nuclear-to-cytoplasmic (N:C) ratio as the most important cytomorphological feature for detecting high-grade urothelial carcinoma (HGUC) cells. Few quantitative studies have been conducted on other features although quantitative studies on the N:C ratio have been reported. Therefore, this study quantitatively analysed important cytomorphological features in distinguishing benign reactive cells from HGUC cells. Methods We analysed 2866 cells from the urine of 52 patients. A digital image analyser was used to quantitatively measure the nuclear area, cell area, N:C ratio, and nuclear roundness for HGUC cells and benign reactive cells. Additionally, the diagnostic value of quantitative cytomorphological criteria in HGUC cells was evaluated by the receiver operating characteristic curve. Results The area under the curve for the prediction of HGUC cells for all cells and the top five cells was in the following order: nuclear area (0.920 and 0.992, respectively), N:C ratio (0.849 and 0.977), cell area (0.781 and 0.920), and nuclear roundness (0.624 and 0.605). The best cutoff value of the N:C ratio to differentiate HGUC cells from benign reactive cells was 0.438, and using the N:C ratio of 0.702, the positive predictive value obtained was 100%. Conclusions Our study indicated that nuclear area is a more important cytomorphological criterion than the N:C ratio for HGUC cell detection. Moreover, extracted data of the top five cells were more valuable than the data of all cells, which can be helpful in the routine practice and future criteria definition in urine cytology.

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参考文献

1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer

17

statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36

cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394-424.

2. Babjuk M, Böhle A, Burger M, et al. EAU Guidelines on Non-Muscle-invasive

Urothelial Carcinoma of the Bladder: Update 2016. Eur Urol. 2017;71(3):447-461.

3. World-Health-Organization. WHO Classification of Tumours of the Urinary System

and Male Genital Organs. World Health Organization Classification of Tumours, 4th

ed. Lyon; IARC Press: 2016.

4. Murata SI, Kuroda M, Kawamura N, et al. Microtubule-organizing center-mediated

structural atypia in low- and high-grade urothelial carcinoma. Virchows Arch.

2021;478(2):327-334.

5. Cibas ES, Ducatman BS. Cytology: Diagnostic Principles and Clinical Correlates. 4

th ed. Philadelphia: Elsevier; 2014.

6. Murphy WM. Current status of urinary cytology in the evaluation of bladder

neoplasms. Hum Pathol. 1990;21(9):886-896.

7. Planz B, Jochims E, Deix T, Caspers HP, Jakse G, Boecking A. The role of urinary

cytology for detection of bladder cancer. Eur J Surg Oncol. 2005;31(3):304-308.

8. Thiryayi SA, Rana DN. Urine cytopathology: challenges, pitfalls, and mimics. Diagn

Cytopathol. 2012;40(11):1019-1034.

18

9. Barkan GA, Wojcik EM, Nayar R, et al. The Paris System for Reporting Urinary

Cytology: the quest to develop a standardized terminology. J Am Soc Cytopathol.

2016;5(3):177-188.

10. Vosoughi A, Ordobazari A, Lora Gonzalez MA, et al. The Paris System "atypical

urothelial cells" category: can the current criteria be improved? J Am Soc Cytopathol.

2021;10(1):3-8.

11. Rosenthal DL, Wojcik EM, Kurtycz D. The Paris System for Reporting Urinary

Cytology. Cham: Springer; 2016.

12. Rosenthal DL, Wojcik EM, Kurtycz D. The Paris System for Reporting Urinary

Cytology, 2nd ed. Cham: Springer; 2022.

13. VandenBussche CJ, Allison DB, Gupta M, Ali SZ, Rosenthal DL. A 20-year and

46,000-specimen journey to Paris reveals the influence of reporting systems and

passive peer feedback on pathologist practice patterns. Cancer Cytopathol.

2018;126(6):381-389.

14. Zare S, Mirsadraei L, Reisian N, et al. A Single Institutional Experience with the Paris

System for Reporting Urinary Cytology: Correlation of Cytology and Histology in

194 Cases. Am J Clin Pathol. 2018;150(2):162-167.

15. Roy M, Kaushal S, Jain D, Seth A, Iyer VK, Mathur SR. An institutional experience

19

with The Paris System: A paradigm shift from ambiguous terminology to more

objective criteria for reporting urine cytology. Cytopathology. 2017;28(6):509-515.

16. Bertsch EC, Siddiqui MT, Ellis CL. The Paris system for reporting urinary cytology

improves correlation with surgical pathology biopsy diagnoses of the lower urinary

tract. Diagn Cytopathol. 2018;46(3):221-227.

17. Wojcik EM, Kurtycz DFI, Rosenthal DL. We'll always have Paris The Paris System

for Reporting Urinary Cytology 2022. J Am Soc Cytopathol. 2022;11(2):62-66.

18. Hang JF, Charu V, Zhang ML, VandenBussche CJ. Digital image analysis supports a

nuclear-to-cytoplasmic ratio cutoff value of 0.5 for atypical urothelial cells. Cancer

Cytopathol. 2017;125(9):710-716.

19. McIntire PJ, Snow JT, Elsoukkary SS, et al. Digital image analysis supports a nuclearto-cytoplasmic ratio cutoff value below 0.7 for positive for high-grade urothelial

carcinoma and suspicious for high-grade urothelial carcinoma in urine cytology

specimens. Cancer Cytopathol. 2019;127(2):120-124.

20. Richardson CJ, Pambuccian SE, Barkan GA. Split-sample comparison of urothelial

cells in ThinPrep and cytospin preparations in urinary cytology: Do we need to adjust

The Paris System for Reporting Urinary Cytology criteria? Cancer Cytopathol.

2020;128(2):119-125.

20

21. Okuda C, Kyotake A, Nakamura A, Itoh T, Kamoshida S, Ohsaki H. Quantitative

cytomorphological comparison of SurePath and ThinPrep liquid-based cytology using

high-grade urothelial carcinoma cells. Cytopathology. 2021;32(5):654-659.

22. Ohsaki H, Sofue T, Kawakami K, et al. WT1 immunoenzyme staining using

SurePath(™) processed urine cytology helps to detect kidney disease. Cytopathology.

2016;27(1):43-49.

23. Ohsaki H, Hirakawa E, Kushida Y, et al. Can cytological features differentiate reactive

renal tubular cells from low-grade urothelial carcinoma cells? Cytopathology.

2010;21(5):326-333.

24. Kalluri R, Weinberg RA. The basics of epithelial-mesenchymal transition. J Clin

Invest. 2009;119(6):1420-1428.

25. Highman W, Wilson E. Urine cytology in patients with calculi. J Clin Pathol.

1982;35(3):350-356.

26. Poropatich K, Yang JC, Goyal R, Parini V, Yang XJ. Nuclear size measurement for

distinguishing urothelial carcinomas from reactive urothelium on tissue sections.

Diagn Pathol. 2016;11(1):57.

27. McIntire PJ, Elsoukkary SS, Robinson BD, Siddiqui MT. High-grade urothelial

carcinoma in urine cytology: different spaces - different faces, highlighting

21

morphologic variance. J Am Soc Cytopathol. 2021;10(1):36-40.

28. Milord RA, Lecksell K, Epstein JI. An objective morphologic parameter to aid in the

diagnosis of flat urothelial carcinoma in situ. Hum Pathol. 2001;32(9):997-1002.

29. Perou CM, Sørlie T, Eisen MB, et al. Molecular portraits of human breast tumours.

Nature. 2000;406(6797):747-752.

30. De Sousa E Melo F, Vermeulen L, Fessler E, Medema JP. Cancer heterogeneity--a

multifaceted view. EMBO Rep. 2013;14(8):686-695.

Figure legends

Figure 1. Traced high-grade urothelial carcinoma cell nucleus on the ImageJ application

window (Papanicolaou stain, original magnification × 100).

Figure 2. (a) Reactive renal tubular cells (RRTCs). (b) Reactive urothelial cells (RUCs).

(c) High-grade urothelial carcinoma (HGUC) cells (Papanicolaou stain, original

magnification ×100).

Figure 3. Comparison of cytomorphologic features in each disease group.

*HGUC: high-grade urothelial carcinoma, RRTCs: reactive renal tubular cells, RUCs:

reactive urothelial cells

Figure 4. ROC curve analysis of cytomorphologic features to detect HGUC cells.

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*AUC: area under the curve, ROC: receiver operating characteristic, HGUC: high-grade

urothelial carcinoma

Author contributions

Methodology: Ohsaki H. Formal analysis: Sakumo K., Morihashi K., Nakamura A. and

Ohsaki H. Software: Sakumo K. and Nakamura A. Visualization: Sakumo K. and Ohsaki

H. Resources: Nukaya T., Sumitomo M., Sofue T., Haba R., Itoh T., and Ohsaki H.

Writing-original draft: Ohsaki H. Writing-review and editing: Sakumo K., Nakamura

A., Nakamura M, Kamoshida S. and Ohsaki H. Supervision: Ohsaki H

Data availability statement

Data supporting the findings of this study are available from the corresponding author

upon reasonable request.

Inside this month's Cytopathology

Nuclear-to-cytoplasmic ratio is considered the most important cytomorphological feature

in The Paris System for reporting urine cytology. However, evaluation of other

cytomorphological features is lacking. This study compared various cytomorphological

features of high-grade urothelial carcinoma cells and benign reactive cells using a digital

23

image analyser. Quantitative analysis revealed the usefulness of the nuclear area, which

has not been reported until now.

24

Figure 1. Traced high-grade urothelial carcinoma cell nucleus on the ImageJ application window

(Papanicolaou stain, original magnification × 100).

Figure 2. (a) Reactive renal tubular cells (RRTCs)(Papanicolaou stain, original magnification ×100).

Figure 2. (b) Reactive urothelial cells (RUCs). (Papanicolaou stain, original magnification ×100).

Figure 2. (c) High-grade urothelial carcinoma (HGUC) cells. (Papanicolaou stain, original magnification ×100).

Figure 3. Comparison of cytomorphologic features in each disease group.

*HGUC: high-grade urothelial carcinoma, RRTCs: reactive renal tubular cells, RUCs: reactive urothelial cells

Figure 4. ROC curve analysis of cytomorphologic features to detect HGUC cells.

*AUC: area under the curve, ROC: receiver operating characteristic, HGUC: high-grade urothelial carcinoma

Table 1. Comparison of cytomorphological criteria to distinguish between HGUC cells and benign atypical cells

HGUC

cells

BRCs

AUC

SE

All cells

Nuclear area

Cell area

N: C ratio

Nuclear roundness

1180

1180

1180

1180

1687

1687

1687

1687

0.920

0.781

0.849

0.624

Top five cells

Nuclear area

Cell area

N: C ratio

Nuclear roundness

75

75

75

75

265

265

265

265

0.992

0.920

0.977

0.605

Youden index maximum / PPV 100%

Cut off value

Sensitivity

Specificity

0.005

0.009

0.007

0.011

98.8 / 253.9

229.7 / 613.9

0.438 / 0.702

0.928 / 0.963

0.887 / 0.159

0.733 / 0.079

0.829 / 0.075

0.302 / 0.004

0.795 / 1.000

0.671 / 1.000

0.699 / 1.000

0.900 / 1.000

0.003

0.018

0.008

0.042

169.6 / 236.6

424.9 / 572.1

0.619 / 0.698

0.785 / 0.680

0.960 / 0.747

0.800 / 0.493

0.920 / 0.693

0.493 / 0.107

0.951 / 1.000

0.909 / 1.000

0.951 / 1.000

0.762 / 1.000

*HGUC: high-grade urothelial carcinoma, BRCs: benign reactive cells, AUC: area under the curve, SE: standard error,

PPV: positive predictive value

...

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