Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis
To date, therapeutic responses in plaque psoriasis are evaluated with clinical scores. No objective examination has been established. A recently developed non-invasive imaging tool, line-field confocal optical coherence tomography (LC-OCT), enables the in vivo live imaging of skin changes in psorias...
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2025-01-01
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author | Hanna B. Wirsching Oliver J. Mayer Sophia Schlingmann Janis R. Thamm Stefan Schiele Anna Rubeck Wera Heinz Julia Welzel Sandra Schuh |
author_facet | Hanna B. Wirsching Oliver J. Mayer Sophia Schlingmann Janis R. Thamm Stefan Schiele Anna Rubeck Wera Heinz Julia Welzel Sandra Schuh |
author_sort | Hanna B. Wirsching |
collection | DOAJ |
description | To date, therapeutic responses in plaque psoriasis are evaluated with clinical scores. No objective examination has been established. A recently developed non-invasive imaging tool, line-field confocal optical coherence tomography (LC-OCT), enables the in vivo live imaging of skin changes in psoriasis under therapy. The aim of this study was to measure therapeutic response clinically and with LC-OCT, comparing the subjectively scored epidermal changes with an AI-supported analysis. This prospective, observational study included 12 patients with psoriasis starting a systemic treatment with IL-17 inhibitors (secukinumab, ixekizumab, and bimekizumab). LC-OCT and clinical assessment with a local psoriasis and severity index of the study plaque and a control area were performed before the initiation of therapy as well as after 4 and 12 weeks of treatment. A manual and AI-supported measurement of the thickness of epidermis, stratum corneum, and undulation of the dermo-epidermal junction was carried out. Acanthosis and hyperkeratosis showed a significant reduction under treatment. AI-supported calculations were compared to subjective measurements showing good reliability with high correlation. AI-supported analysis of vascular changes may serve as a prognostic and therapeutic response marker in the future. |
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institution | Kabale University |
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language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-ac4552d1822f44c29286049d80aa24f22025-01-24T13:19:43ZengMDPI AGApplied Sciences2076-34172025-01-0115253510.3390/app15020535Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported AnalysisHanna B. Wirsching0Oliver J. Mayer1Sophia Schlingmann2Janis R. Thamm3Stefan Schiele4Anna Rubeck5Wera Heinz6Julia Welzel7Sandra Schuh8Department of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyDepartment of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyDepartment of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyDepartment of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyChair for Computational Statistic and Data Analysis, Institute of Mathematics, University of Augsburg, 86156 Augsburg, GermanyChair for Computational Statistic and Data Analysis, Institute of Mathematics, University of Augsburg, 86156 Augsburg, GermanyDepartment of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyDepartment of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyDepartment of Dermatology and Allergology, University Hospital Augsburg, 86179 Augsburg, GermanyTo date, therapeutic responses in plaque psoriasis are evaluated with clinical scores. No objective examination has been established. A recently developed non-invasive imaging tool, line-field confocal optical coherence tomography (LC-OCT), enables the in vivo live imaging of skin changes in psoriasis under therapy. The aim of this study was to measure therapeutic response clinically and with LC-OCT, comparing the subjectively scored epidermal changes with an AI-supported analysis. This prospective, observational study included 12 patients with psoriasis starting a systemic treatment with IL-17 inhibitors (secukinumab, ixekizumab, and bimekizumab). LC-OCT and clinical assessment with a local psoriasis and severity index of the study plaque and a control area were performed before the initiation of therapy as well as after 4 and 12 weeks of treatment. A manual and AI-supported measurement of the thickness of epidermis, stratum corneum, and undulation of the dermo-epidermal junction was carried out. Acanthosis and hyperkeratosis showed a significant reduction under treatment. AI-supported calculations were compared to subjective measurements showing good reliability with high correlation. AI-supported analysis of vascular changes may serve as a prognostic and therapeutic response marker in the future.https://www.mdpi.com/2076-3417/15/2/535line-field confocal optical coherence tomographyartificial intelligencetherapeutic monitoringpsoriasisAI modelLC-OCT |
spellingShingle | Hanna B. Wirsching Oliver J. Mayer Sophia Schlingmann Janis R. Thamm Stefan Schiele Anna Rubeck Wera Heinz Julia Welzel Sandra Schuh Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis Applied Sciences line-field confocal optical coherence tomography artificial intelligence therapeutic monitoring psoriasis AI model LC-OCT |
title | Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis |
title_full | Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis |
title_fullStr | Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis |
title_full_unstemmed | Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis |
title_short | Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis |
title_sort | line field confocal optical coherence tomography of plaque psoriasis under il 17 inhibitor therapy artificial intelligence supported analysis |
topic | line-field confocal optical coherence tomography artificial intelligence therapeutic monitoring psoriasis AI model LC-OCT |
url | https://www.mdpi.com/2076-3417/15/2/535 |
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