دورية أكاديمية

Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis Algorithm

التفاصيل البيبلوغرافية
العنوان: Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis Algorithm
المؤلفون: Bart Sturm, David Creytens, Jan Smits, Ariadne H. A. G. Ooms, Erik Eijken, Eline Kurpershoek, Heidi V. N. Küsters-Vandevelde, Carla Wauters, Willeke A. M. Blokx, Jeroen A. W. M. van der Laak
المصدر: Diagnostics; Volume 12; Issue 2; Pages: 436
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: WSI, computer-aided diagnosis, mitosis algorithm, melanoma, nevoid melanoma
الوصف: An increasing number of pathology laboratories are now fully digitised, using whole slide imaging (WSI) for routine diagnostics. WSI paves the road to use artificial intelligence (AI) that will play an increasing role in computer-aided diagnosis (CAD). In melanocytic skin lesions, the presence of a dermal mitosis may be an important clue for an intermediate or a malignant lesion and may indicate worse prognosis. In this study a mitosis algorithm primarily developed for breast carcinoma is applied to melanocytic skin lesions. This study aimed to assess whether the algorithm could be used in diagnosing melanocytic lesions, and to study the added value in diagnosing melanocytic lesions in a practical setting. WSI’s of a set of hematoxylin and eosin (H&E) stained slides of 99 melanocytic lesions (35 nevi, 4 intermediate melanocytic lesions, and 60 malignant melanomas, including 10 nevoid melanomas), for which a consensus diagnosis was reached by three academic pathologists, were subjected to a mitosis algorithm based on AI. Two academic and six general pathologists specialized in dermatopathology examined the WSI cases two times, first without mitosis annotations and after a washout period of at least 2 months with mitosis annotations based on the algorithm. The algorithm indicated true mitosis in lesional cells, i.e., melanocytes, and non-lesional cells, i.e., mainly keratinocytes and inflammatory cells. A high number of false positive mitosis was indicated as well, comprising melanin pigment, sebaceous glands nuclei, and spindle cell nuclei such as stromal cells and neuroid differentiated melanocytes. All but one pathologist reported more often a dermal mitosis with the mitosis algorithm, which on a regular basis, was incorrectly attributed to mitoses from mainly inflammatory cells. The overall concordance of the pathologists with the consensus diagnosis for all cases excluding nevoid melanoma (n = 89) appeared to be comparable with and without the use of AI (89% vs. 90%). However, the concordance increased by ...
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: Pathology and Molecular Diagnostics; https://dx.doi.org/10.3390/diagnostics12020436Test
DOI: 10.3390/diagnostics12020436
الإتاحة: https://doi.org/10.3390/diagnostics12020436Test
حقوق: https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.820ABF43
قاعدة البيانات: BASE