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Risk‐stratified management of cervical high‐grade squamous intraepithelial lesion based on machine learning

The concordance rate between conization and colposcopy‐directed biopsy (CDB) proven cervical high‐grade squamous intraepithelial lesion (HSIL) were 64−85%. We aimed to identify the risk factors associated with pathological upgrading or… Click to show full abstract

The concordance rate between conization and colposcopy‐directed biopsy (CDB) proven cervical high‐grade squamous intraepithelial lesion (HSIL) were 64−85%. We aimed to identify the risk factors associated with pathological upgrading or downgrading after conization in patients with cervical HSIL and to provide risk‐stratified management based on a machine learning predictive model.

Keywords: squamous intraepithelial; high grade; cervical high; risk; intraepithelial lesion; grade squamous

Journal Title: Journal of Medical Virology
Year Published: 2024

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