ABSTRACT
Objective:
To explore the application of manual
screening collaborated with the
Artificial Intelligence TPS-Assisted Cytologic
Screening System in urinary exfoliative
cytology and its clinical values.
Methods:
A total of 3 033
urine exfoliated
cytology samples were collected at the Henan People's
Hospital,
Capital Medical
University,
Beijing,
China. Liquid-based thin-layer
cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and
analysis were carried out using an
artificial intelligence TPS assisted
screening system. The
Paris Report Classification System of Urinary Exfoliated
Cytology 2022 was used as the evaluation standard. Atypical urothelial
cells and even higher grade lesions were considered as positive when evaluating the recognition
sensitivity,
specificity, and diagnostic accuracy of
artificial intelligence-assisted
screening systems and
human-machine collaborative cytologic
screening methods in
urine exfoliative
cytology. Among the collected cases, there were also 1 100 pathological
tissue controls.
Results:
The accuracy,
sensitivity and specificity of the AI-assisted cytologic
screening system were 77.18%, 90.79% and 69.49%; those of
human-machine coordination
method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy,
sensitivity and specificity of manual
reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic
screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy,
sensitivity and specificity of
human-machine coordination
method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that
human-machine coordination
review method had higher diagnostic accuracy and
sensitivity, and lower false negative rates.
Conclusions:
The
artificial intelligence TPS assisted cytologic
screening system has achieved acceptable accuracy in
urine exfoliation cytologic
screening. The combination of manual
screening and
artificial intelligence TPS assisted
screening system can effectively improve the
sensitivity and accuracy of cytologic
screening and reduce the
risk of
misdiagnosis.