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Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood– H amilton classifications
Author(s) -
HONG Hannah,
JI Jae Hong,
LEE Yoonhee,
KANG Hoon,
CHOI Gwang Seong,
LEE WonSoo
Publication year - 2013
Publication title -
the journal of dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.9
H-Index - 65
eISSN - 1346-8138
pISSN - 0385-2407
DOI - 10.1111/1346-8138.12024
Subject(s) - repeatability , reproducibility , reliability (semiconductor) , mathematics , pattern recognition (psychology) , statistics , computer science , artificial intelligence , power (physics) , physics , quantum mechanics
Pattern hair loss ( PHL ) is the most common form of baldness in both sexes. The N orwood– H amilton classification is the most commonly used classification worldwide, but it has many limitations. The basic and specific ( BASP ) classification was introduced as an improvement over the N orwood– H amilton classification. Previous research was done to estimate the reliability of the N orwood– H amilton classification and the result was unsatisfactory. However, the reliability of the BASP and N orwood– H amilton classifications has not yet been compared. Eight dermatological specialists, 17 dermatological residents and 15 general physicians classified PHL in 100 sets of photographs using both the BASP and N orwood– H amilton classifications. Intergroup reproducibility was evaluated by examining the match rate of the individual data in each group and the match rate between hair specialist and the other examiners. Intragroup repeatability was determined by calculating the match rate between the first and second studies. In terms of intergroup reproducibility of the match rate for individual data in each group, the basic type had the best agreement, the specific type had the second best, and the N orwood– H amilton classification had the lowest match rate. In comparison, hair specialist and intragroup repeatability showed the same patterns. The BASP classification not only distinguishes all kinds of hair loss patterns, but also has better reproducibility and repeatability than the N orwood– H amilton classification.