February 2023 in “International Journal of Advanced Research” This study examined 50 patients with alopecia areata and found that trichoscopy can identify specific patterns, such as white dots in 90% of cases and black dots in 80%, aiding in assessing disease activity and severity without invasive procedures.
7 citations
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November 2022 in “Actas Dermo-Sifiliográficas” This study reviewed the usefulness of trichoscopy in diagnosing and monitoring alopecia areata, noting that the technique identifies specific hair features like yellow and black dots, which are linked to the disease's chronic nature and treatment response.
21 citations
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September 2022 in “Actas Dermo-Sifiliográficas” This study reviews the use of trichoscopy in diagnosing and monitoring alopecia areata, highlighting that certain trichoscopic findings like yellow and black dots, exclamation mark hairs, and others, provide valuable insights into disease status and treatment response.
1 citations
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December 2018 in “Journal of Pakistan Association of Dermatology” This study reported that different types of alopecia have distinctive dermoscopic patterns, which aids in their diagnosis.
89 citations
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March 2018 in “The Journal of Dermatology” This review presents various trichoscopic findings for diagnosing alopecia areata but reports no new clinical results, emphasizing that no single marker is pathognomonic and multiple features should be considered together.
November 2016 in “대한피부과학회지” This study found that trichoscopy is effective for diagnosing androgenetic alopecia and alopecia areata, and it can also be used to assess the severity of androgenetic alopecia.
January 2015 in “프로그램북(구 초록집)” This study found that trichoscopy is a useful tool for diagnosing and assessing the severity of alopecia areata and androgenetic alopecia in patients when visual diagnosis is challenging.
32 citations
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January 2014 in “Dermatology Research and Practice” This study found that trichoscopy can rapidly and noninvasively diagnose tinea capitis and alopecia areata in pediatric patients by identifying specific hair patterns associated with each condition.