title: BLINCK-A diagnostic algorithm for skin cancer diagnosis combining clinical features with dermatoscopy findings.
abstract: BACKGROUND
  Deciding whether a skin lesion requires biopsy to exclude skin cancer is often challenging for primary care clinicians in Australia. There are several published algorithms designed to assist with the diagnosis of skin cancer but apart from the clinical ABCD rule, these algorithms only evaluate the dermatoscopic features of a lesion.
  
  
  OBJECTIVE
  The BLINCK algorithm explores the effect of combining clinical history and examination with fundamental dermatoscopic assessment in primary care skin cancer practice.
  
  
  METHODS
  Clinical and dermatoscopic images of 50 skin lesions were collected and shown to four primary care practitioners. The cases were assessed by each participant and lesions requiring biopsy were determined on separate occasions using the 3-Point Checklist, the Menzies method, clinical assessment alone and the BLINCK algorithm.
  
  
  RESULTS
  The BLINCK algorithm had the highest sensitivity and found more melanomas than any of the other methods. However, BLINCK required more biopsies than the other methods. When comparing diagnostic accuracy, there was no difference between BLINCK, Menzies method and clinical assessment but all were better than the 3-Point checklist.
  
  
  CONCLUSIONS
  These results suggest that the BLINK algorithm may be a useful skin cancer screening tool for Australian primary care practice.
authors.affiliation: School of Medicine, University of Queensland, Brisbane, Australia.
authors.forename: Peter
authors.initials: P
authors.lastname: Bourne
authors.forename: Cliff
authors.initials: C
authors.lastname: Rosendahl
authors.forename: Jeff
authors.initials: J
authors.lastname: Keir
authors.forename: Alan
authors.initials: A
authors.lastname: Cameron
keywords: BLINCK; diagnostic algorithm; melanoma; primary care; skin cancer