Dermatology practical & conceptual · 2024
Concordance Among In Vivo Reflectance Confocal Microscopy, Trichoscopy, and Histopathology in the Evaluation of Alopecia Areata Incognita.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Starace Michela, De Carvalho Nathalie, Melo Daniel Fernandes, Cedirian Stephano, Mandel Victor Desmond, Machado Carla Jorge, Misciali Cosimo, Pellacani Giovanni, Piraccini Bianca Maria, Ardigò Marco
Аннотация
OBJECTIVES: Alopecia areata incognita is a non-scarring autoimmune hair loss condition primarily affecting women aged 20 to 40. It is often misdiagnosed due to its resemblance to other conditions. Diagnosis relies on clinical suspicion, trichoscopic findings, and histological features. Reflectance confocal microscopy (RCM) shows promise as a non-invasive diagnostic tool for alopecia areata incognita. In this study, we aimed to explore RCM's diagnostic potential by investigating its association with trichoscopic and histopathological findings.
METHODS: We conducted a prospective study with 12 female patients affected by alopecia areata incognita. Patient data, trichoscopy, and RCM were used for diagnosis. Biopsies were taken based on trichoscopic and RCM criteria. Agreement between RCM, trichoscopy, and histopathology was assessed.
RESULTS: RCM showed substantial agreement with histopathology for fibrous tracts (92.9%). Other criteria, like infundibular ostia and inflammation, exhibited reasonable agreement (71.4% to 78.6%), with varying Kappa values. Miniaturized follicles had the lowest agreement (64.3%).
CONCLUSION: This study suggests that RCM holds promise as a diagnostic tool for alopecia areata incognita, offering advantages in non-invasiveness and real-time monitoring. It demonstrated substantial agreement with histopathology in identifying key features. While some discrepancies were noted, especially in detecting inflammatory infiltrates, further research may enhance RCM's sensitivity. The non-invasive nature of RCM could improve patient experiences and offer dynamic disease tracking for better treatment decisions. This technology's potential extends beyond alopecia areata incognita, presenting opportunities for more patient-friendly diagnostic procedures in trichology.
METHODS: We conducted a prospective study with 12 female patients affected by alopecia areata incognita. Patient data, trichoscopy, and RCM were used for diagnosis. Biopsies were taken based on trichoscopic and RCM criteria. Agreement between RCM, trichoscopy, and histopathology was assessed.
RESULTS: RCM showed substantial agreement with histopathology for fibrous tracts (92.9%). Other criteria, like infundibular ostia and inflammation, exhibited reasonable agreement (71.4% to 78.6%), with varying Kappa values. Miniaturized follicles had the lowest agreement (64.3%).
CONCLUSION: This study suggests that RCM holds promise as a diagnostic tool for alopecia areata incognita, offering advantages in non-invasiveness and real-time monitoring. It demonstrated substantial agreement with histopathology in identifying key features. While some discrepancies were noted, especially in detecting inflammatory infiltrates, further research may enhance RCM's sensitivity. The non-invasive nature of RCM could improve patient experiences and offer dynamic disease tracking for better treatment decisions. This technology's potential extends beyond alopecia areata incognita, presenting opportunities for more patient-friendly diagnostic procedures in trichology.