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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Main Authors: Hanna B. Wirsching, Oliver J. Mayer, Sophia Schlingmann, Janis R. Thamm, Stefan Schiele, Anna Rubeck, Wera Heinz, Julia Welzel, Sandra Schuh
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/2/535
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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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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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