Kim Beom Jun, Choi Jaewoong, Choe Sung Jay, Lee Solam, Lee Won-Soo
Department of Dermatology and Institute of Hair and Cosmetic Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Int J Dermatol. 2020 Jan;59(1):60-65. doi: 10.1111/ijd.14553. Epub 2019 Jun 23.
In 2007, Lee et al. introduced a basic and specific (BASP) classification for pattern hair loss that was comprehensive and applicable regardless of race or gender. However, this BASP classification has several limitations. Frontal type hair loss classification is relatively crude, and a specific hair loss pattern cannot be ascertained when hair loss is associated with the temporal and occipital areas.
In our modified BASP classification, frontal type classification was subdivided into five instead of three grades. Basic type classification remained the same as in the previous method. In addition, information regarding the involvement of the temporal or occipital scalp was recorded. Accuracy and ease of use were evaluated and compared with the existing BASP classification in 138 patients with pattern hair loss.
Temporal or occipital involvement was observed in 14 patients, accounting for 11.1% of subjects. Final type accuracy was 82.5% in the existing BASP classification and 71.4% in the modified classification. Ease of use for two practitioners was 70.2 and 72.1% for the existing BASP classification, and 48.9 and 52.2% for the modified method.
We expect that the modified BASP classification will overcome the limitations of the existing BASP classification. We believe this modified classification will be a valuable tool for pattern hair loss classification because of its classification of previously unclassified types.
2007年,Lee等人引入了一种针对型脱发的基本和特定(BASP)分类方法,该方法全面且适用于任何种族或性别。然而,这种BASP分类方法存在一些局限性。前额型脱发分类相对粗略,当脱发与颞部和枕部区域相关时,无法确定具体的脱发模式。
在我们改良的BASP分类中,前额型分类从三个等级细分为五个等级。基本型分类与之前的方法保持一致。此外,记录了颞部或枕部头皮受累的信息。对138例型脱发患者进行评估,比较改良后的分类方法与现有BASP分类方法的准确性和易用性。
14例患者出现颞部或枕部受累,占受试者的11.1%。现有BASP分类的最终类型准确率为82.5%,改良分类为71.4%。两名从业者对现有BASP分类的易用性分别为70.2%和72.1%,改良方法分别为48.9%和52.2%。
我们期望改良后的BASP分类能够克服现有BASP分类的局限性。我们认为这种改良后的分类将成为型脱发分类的一个有价值的工具,因为它对以前未分类的类型进行了分类。