title: Histopathological parameters determining lesion colours in the naevus of Ota: a morphometric study using computer-assisted image analysis.
abstract: BACKGROUND
  Naevus of Ota manifests various colours ranging from light brown to blue. Naevus colours have been claimed to reflect the depth of melanin pigments but the claim has rarely been substantiated by quantitative studies.
  
  
  OBJECTIVE
  We attempted both quantitative and qualitative analyses of the naevus of Ota to find out relations between histological patterns or parameters of melanin/melanocytes and lesion colours.
  
  
  METHODS
  Lesion colours were determined by one of the authors and were confirmed by a separate panel of dermatologists. Forty biopsy specimens of naevus of Ota were evaluated by both computer-assisted quantitative image analysis and a previously proposed conventional pattern analysis.
  
  
  RESULTS
  The mean area fraction (AFmean) of melanin, the depth of the maximum area fraction of melanin (level of AFmax) and the depth of the deepest infiltrating melanocyte were significantly greater or deeper for bluish lesions than brownish lesions. Based on the qualitative pattern analysis we found that all the brownish lesions demonstrated superficial dermal melanin pigments, whereas bluish lesions tended to show more heterogeneous histological patterns. Eyelid lesions, all of which were bluish, revealed greater AF(mean) value than cheek lesions, presenting as either brownish or bluish colours.
  
  
  CONCLUSIONS
  Quantitative analysis indicated that pigment density measures such as AFmean could be as important as the depth of melanocytes in the explanation of the lesion colours in naevus of Ota. However, qualitative pattern analysis failed to link specific patterns with lesion colours, especially in bluish lesions, probably due to the lack of consideration of the pigment density.
authors.affiliation: Department of Dermatology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangnam-gu, Seoul 135-710, Korea.
authors.forename: N-K
authors.initials: NK
authors.lastname: Rho
authors.forename: W-S
authors.initials: WS
authors.lastname: Kim
authors.forename: D-Y
authors.initials: DY
authors.lastname: Lee
authors.forename: J-M
authors.initials: JM
authors.lastname: Yang
authors.forename: E-S
authors.initials: ES
authors.lastname: Lee
authors.forename: J-H
authors.initials: JH
authors.lastname: Lee
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002610:Cheek; D002648:Child; D002675:Child, Preschool; D005142:Eyelid Neoplasms / Q000473:pathology; D005153:Facial Neoplasms / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008543:Melanins / Q000032:analysis; D008544:Melanocytes / Q000473:pathology; D008875:Middle Aged; D009507:Nevus of Ota / Q000473:pathology*; D012878:Skin Neoplasms / Q000473:pathology*; D012880:Skin Pigmentation
chemical_list: D008543:Melanins