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Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection
by
Wang, Zhe
, Dang, Le
, Li, Hong-Xia
, Kong, Ling-Hua
, Wang, Ming-Juan
, Li, Zhi-Fang
, Xu, Lian
, Zhang, Li
, Xue, Peng
, Zhu, Lan
, Zhang, Xun
, Zhao, Fang-Hui
, Wei, Rong-Gan
, Niu, Hai-Yan
, Ye, Zi-Chen
, Pan, Qin-Jing
, Weng, Hai-Yan
, Chen, Wen
, Tang, Hong-Ping
, Xu, Hai-Miao
, Rezhake, Remila
, Qiao, You-Lin
, Jiang, Yu
in
147/135
/ 692/4028/67/1517/1371
/ 692/699/67/2322
/ 692/700/139/422
/ Adult
/ Cancer
/ Cancer screening
/ Cellular biology
/ Cervical cancer
/ Cervix Uteri - pathology
/ Cytodiagnosis - methods
/ Cytology
/ Deep Learning
/ Early Detection of Cancer - methods
/ Female
/ Hospitals
/ Human papillomavirus
/ Humanities and Social Sciences
/ Humans
/ Mass Screening - methods
/ Medical screening
/ Middle Aged
/ multidisciplinary
/ Papillomavirus Infections - diagnosis
/ Papillomavirus Infections - virology
/ Precancerous Conditions - diagnosis
/ Precancerous Conditions - pathology
/ Science
/ Science (multidisciplinary)
/ Sensitivity
/ Sensitivity and Specificity
/ Triage
/ Uterine Cervical Dysplasia - diagnosis
/ Uterine Cervical Neoplasms - diagnosis
/ Uterine Cervical Neoplasms - pathology
/ Uterine Cervical Neoplasms - virology
/ Vaginal Smears - methods
2025
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Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection
by
Wang, Zhe
, Dang, Le
, Li, Hong-Xia
, Kong, Ling-Hua
, Wang, Ming-Juan
, Li, Zhi-Fang
, Xu, Lian
, Zhang, Li
, Xue, Peng
, Zhu, Lan
, Zhang, Xun
, Zhao, Fang-Hui
, Wei, Rong-Gan
, Niu, Hai-Yan
, Ye, Zi-Chen
, Pan, Qin-Jing
, Weng, Hai-Yan
, Chen, Wen
, Tang, Hong-Ping
, Xu, Hai-Miao
, Rezhake, Remila
, Qiao, You-Lin
, Jiang, Yu
in
147/135
/ 692/4028/67/1517/1371
/ 692/699/67/2322
/ 692/700/139/422
/ Adult
/ Cancer
/ Cancer screening
/ Cellular biology
/ Cervical cancer
/ Cervix Uteri - pathology
/ Cytodiagnosis - methods
/ Cytology
/ Deep Learning
/ Early Detection of Cancer - methods
/ Female
/ Hospitals
/ Human papillomavirus
/ Humanities and Social Sciences
/ Humans
/ Mass Screening - methods
/ Medical screening
/ Middle Aged
/ multidisciplinary
/ Papillomavirus Infections - diagnosis
/ Papillomavirus Infections - virology
/ Precancerous Conditions - diagnosis
/ Precancerous Conditions - pathology
/ Science
/ Science (multidisciplinary)
/ Sensitivity
/ Sensitivity and Specificity
/ Triage
/ Uterine Cervical Dysplasia - diagnosis
/ Uterine Cervical Neoplasms - diagnosis
/ Uterine Cervical Neoplasms - pathology
/ Uterine Cervical Neoplasms - virology
/ Vaginal Smears - methods
2025
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Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection
by
Wang, Zhe
, Dang, Le
, Li, Hong-Xia
, Kong, Ling-Hua
, Wang, Ming-Juan
, Li, Zhi-Fang
, Xu, Lian
, Zhang, Li
, Xue, Peng
, Zhu, Lan
, Zhang, Xun
, Zhao, Fang-Hui
, Wei, Rong-Gan
, Niu, Hai-Yan
, Ye, Zi-Chen
, Pan, Qin-Jing
, Weng, Hai-Yan
, Chen, Wen
, Tang, Hong-Ping
, Xu, Hai-Miao
, Rezhake, Remila
, Qiao, You-Lin
, Jiang, Yu
in
147/135
/ 692/4028/67/1517/1371
/ 692/699/67/2322
/ 692/700/139/422
/ Adult
/ Cancer
/ Cancer screening
/ Cellular biology
/ Cervical cancer
/ Cervix Uteri - pathology
/ Cytodiagnosis - methods
/ Cytology
/ Deep Learning
/ Early Detection of Cancer - methods
/ Female
/ Hospitals
/ Human papillomavirus
/ Humanities and Social Sciences
/ Humans
/ Mass Screening - methods
/ Medical screening
/ Middle Aged
/ multidisciplinary
/ Papillomavirus Infections - diagnosis
/ Papillomavirus Infections - virology
/ Precancerous Conditions - diagnosis
/ Precancerous Conditions - pathology
/ Science
/ Science (multidisciplinary)
/ Sensitivity
/ Sensitivity and Specificity
/ Triage
/ Uterine Cervical Dysplasia - diagnosis
/ Uterine Cervical Neoplasms - diagnosis
/ Uterine Cervical Neoplasms - pathology
/ Uterine Cervical Neoplasms - virology
/ Vaginal Smears - methods
2025
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Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection
Journal Article
Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection
2025
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Overview
Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or triage. Here, we develop a DL model using whole cytology slides from 17,397 women and test it on 10,826 additional cases through a three-stage process. The DL model achieves robust performance across nine hospitals. In a multi-reader, multi-case study, it outperforms cytopathologists’ sensitivity by 9%. Reading time significantly decreases with DL assistance (218s vs 30s;
p
< 0.0001). In community-based organized screening, the DL model’s sensitivity matches that of senior cytopathologists (0.878 vs 0.854;
p
> 0.999), yet it has reduced specificity (0.831 vs 0.901;
p
< 0.0001). Notably, hospital-based opportunistic screening shows that junior cytopathologists with DL assistance significantly improve both their sensitivity and specificity (0.857 vs 0.657, 0.840 vs 0.737; both
p
< 0.0001). When triaging human papillomavirus-positive cases, DL assistance exhibits better performance than junior cytopathologists alone. These findings support using the DL model as an assistance tool in cervical screening and case triage.
Cytology is commonly used for cervical cancer screening or triage. Here, the authors used deep learning to develop a liquid-based cytology screening approach to detect cervical cancer in both community and hospital-based settings.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ Adult
/ Cancer
/ Cytology
/ Early Detection of Cancer - methods
/ Female
/ Humanities and Social Sciences
/ Humans
/ Papillomavirus Infections - diagnosis
/ Papillomavirus Infections - virology
/ Precancerous Conditions - diagnosis
/ Precancerous Conditions - pathology
/ Science
/ Triage
/ Uterine Cervical Dysplasia - diagnosis
/ Uterine Cervical Neoplasms - diagnosis
/ Uterine Cervical Neoplasms - pathology
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