Accuracy and risk of malignancy for diagnostic categories in urine cytology at a large tertiary institution.
BACKGROUND
At a high-volume center, it became necessary to provide benchmarks for the accuracy and risk of malignancy per urine cytology diagnostic category. The additive sensitivity for the determination of the residual risk of disease was calculated with the goal of determining the performance of cytology and optimal triage, including the number of urine samples, before the detection of malignancy in surveillance patients.


METHODS
A 2-year laboratory information system-based search was conducted, and it yielded 587 subjects (695 biopsy and cytology pairs) with histological follow-up. The sensitivity and specificity of cytology for urothelial malignancy, the risk of malignancy per diagnostic category, the additive sensitivity, and the time for conversion from a negative initial cytology result to a positive cytology result were examined.


RESULTS
The overall average sensitivity and specificity of cytology were 48.9% and 83.0%, respectively. The additive sensitivity increased with each subsequent cytology and peaked with the third cytology. A median conversion time of 22.2 months from a negative initial cytology result to a positive cytology result and a decline in predictive positive cytology after the fourth cytology were noted. Subcategorization of the atypical category failed to show statistical significance in predicting outcomes of biopsy. Surveillance subjects, as compared to primary subjects, showed a higher sensitivity for the detection of high and low grade cancers.


CONCLUSIONS
The findings suggest that atypia favoring malignancy is being appropriately flagged. However, further definition of the atypical category is needed to increase specificity with a better qualitative or quantitative morphological algorithm. This study provides a risk of malignancy for each category for benchmarking and clinical triage. The data suggest that follow-up should include at least 4 consecutive urine specimens over a period of 22.2 months.
Department of Cytopathology, North Shore-LIJ Health System, Lake Success, New York.
Karen
K
Chau
Lisa
L
Rosen
Constantinos
C
Coutsouvelis
Maly
M
Fenelus
Ryan
R
Brenkert
Melissa
M
Klein
Gary
G
Stone
Stephen
S
Raab
Mohamed
M
Aziz
Rubina
R
Cocker
D019540:Area Under Curve; D019985:Benchmarking; D003581:Cytodiagnosis; D006801:Humans; D016015:Logistic Models; D012306:Risk; D012680:Sensitivity and Specificity; D001749:Urinary Bladder Neoplasms / Q000175:diagnosis*; D014556:Urine / Q000166:cytology*
ROC curve; additive sensitivity; median conversion time; risk of malignancy; urine cytology