Leveraging AI/ML Algorithms On Digital Pathology And Ex-Vivo Confocal Microscopy Imaging For Extramammary Paget’s Disease

Overview

About this study

The purpose of this study is to validate the use of ex-vivo confocal microscopy for the assessment of skin specimens derived from Mohs surgery compared to standard microscopy. To leverage deep learning models for classification, detection, and localization of tumor for extramammary Paget’s disease on ex-vivo confocal microscopy images. To leverage AI/ML to ex-vivo confocal microscopy imaging to facilitate microscopic-level imaging of extramammary Paget’s disease. To leverage deep learning models for classification, detection, and localization of tumor for extramammary Paget’s disease on frozen and permanent pathology WSIs.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Patients 18 years old or older who underwent clinical care for extramammary Paget’s disease at Mayo Clinic.

Exclusion Criteria:

  • ≤ 18 years of age.

Note: Other protocol defined Inclusion/Exclusion Criteria may apply.

Eligibility last updated 10/27/2025. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status

Rochester, Minn.

Mayo Clinic principal investigator

Mary Lohman, M.D.

Contact us for the latest status

More information

Publications

Publications are currently not available
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CLS-20598384

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