Literature DB >> 8123478

Comparability of naevus counts between and within examiners, and comparison with computer image analysis.

J F Aitken1, A Green, A Eldridge, L Green, J Pfitzner, D Battistutta, N G Martin.   

Abstract

In the course of an investigation of melanocytic naevus development in Queensland, Australia, whole-body naevus counts of 66 adolescents were performed separately by two nurse examiners on two occasions on average 4 weeks apart. There was good agreement between the two examiners for counts of total naevi on the whole body (intra-class correlation coefficient = 0.96) and at selected subsites (face, neck, back, upper arms, lower arms). Agreement was lower when raised naevi only were counted (0.83). Intra-examiner repeatability was high for both nurses, particularly for the more experienced examiner (intra-class correlation coefficients = 0.98 and 0.91 for total naevi on the whole body), and was consistently better when all naevi were counted rather than naevi of a particular size. Independent counts of naevi on the back using a computer imaging technique were reproducible (intra-class correlation coefficient = 0.92), but showed only moderate agreement with counts by the nurse examiners. Overall, these results demonstrate high comparability of naevus counts between and within similarly trained examiners. They do not support the common practice in epidemiological studies of restricting counts to naevi larger than 2 mm, or of counting raised naevi only.

Mesh:

Year:  1994        PMID: 8123478      PMCID: PMC1968854          DOI: 10.1038/bjc.1994.88

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  11 in total

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Authors:  B D Coombs; K J Sharples; K R Cooke; D C Skegg; J M Elwood
Journal:  Am J Epidemiol       Date:  1992-08-01       Impact factor: 4.897

2.  Reliability of interviewer and subject assessments of nevus counts in a study of melanoma.

Authors:  S D Walter; L D Marrett; C Hertzman
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

3.  Self-reports of mole counts and cutaneous malignant melanoma in women: methodological issues and risk of disease.

Authors:  C Bain; G A Colditz; W C Willett; M J Stampfer; A Green; B R Bronstein; M C Mihm; B Rosner; C H Hennekens; F E Speizer
Journal:  Am J Epidemiol       Date:  1988-04       Impact factor: 4.897

4.  Simplified calculation of body-surface area.

Authors:  R D Mosteller
Journal:  N Engl J Med       Date:  1987-10-22       Impact factor: 91.245

5.  Common acquired naevi and the risk of malignant melanoma.

Authors:  A Green; R MacLennan; V Siskind
Journal:  Int J Cancer       Date:  1985-03-15       Impact factor: 7.396

6.  Pigmentary traits, ethnic origin, benign nevi, and family history as risk factors for cutaneous malignant melanoma.

Authors:  C D Holman; B K Armstrong
Journal:  J Natl Cancer Inst       Date:  1984-02       Impact factor: 13.506

7.  Melanocytic nevi in schoolchildren in Queensland.

Authors:  A Green; V Siskind; M E Hansen; L Hanson; P Leech
Journal:  J Am Acad Dermatol       Date:  1989-06       Impact factor: 11.527

8.  Increasing incidence of cutaneous melanoma in Queensland, Australia.

Authors:  R MacLennan; A C Green; G R McLeod; N G Martin
Journal:  J Natl Cancer Inst       Date:  1992-09-16       Impact factor: 13.506

9.  Computer image analysis of pigmented skin lesions.

Authors:  A Green; N Martin; G McKenzie; J Pfitzner; F Quintarelli; B W Thomas; M O'Rourke; N Knight
Journal:  Melanoma Res       Date:  1991 Nov-Dec       Impact factor: 3.599

10.  Inter-clinician agreement on the recognition of clinical pigmentary characteristics of patients with cutaneous malignant melanoma. Studies of melanocytic nevi, VI.

Authors:  G C Roush; R L Barnhill; M S Ernstoff; J M Kirkwood
Journal:  Br J Cancer       Date:  1991-08       Impact factor: 7.640

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  4 in total

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Journal:  Psychosom Med       Date:  2014 Nov-Dec       Impact factor: 4.312

2.  A major quantitative-trait locus for mole density is linked to the familial melanoma gene CDKN2A: a maximum-likelihood combined linkage and association analysis in twins and their sibs.

Authors:  G Zhu; D L Duffy; A Eldridge; M Grace; C Mayne; L O'Gorman; J F Aitken; M C Neale; N K Hayward; A C Green; N G Martin
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

3.  Heritability and genetic covariation of sensitivity to PROP, SOA, quinine HCl, and caffeine.

Authors:  Jonathan L Hansen; Danielle R Reed; Margaret J Wright; Nicholas G Martin; Paul A S Breslin
Journal:  Chem Senses       Date:  2006-03-09       Impact factor: 3.160

4.  Meta-analysis of genome-wide association studies for personality.

Authors:  M H M de Moor; P T Costa; A Terracciano; R F Krueger; E J C de Geus; T Toshiko; B W J H Penninx; T Esko; P A F Madden; J Derringer; N Amin; G Willemsen; J-J Hottenga; M A Distel; M Uda; S Sanna; P Spinhoven; C A Hartman; P Sullivan; A Realo; J Allik; A C Heath; M L Pergadia; A Agrawal; P Lin; R Grucza; T Nutile; M Ciullo; D Rujescu; I Giegling; B Konte; E Widen; D L Cousminer; J G Eriksson; A Palotie; L Peltonen; M Luciano; A Tenesa; G Davies; L M Lopez; N K Hansell; S E Medland; L Ferrucci; D Schlessinger; G W Montgomery; M J Wright; Y S Aulchenko; A C J W Janssens; B A Oostra; A Metspalu; G R Abecasis; I J Deary; K Räikkönen; L J Bierut; N G Martin; C M van Duijn; D I Boomsma
Journal:  Mol Psychiatry       Date:  2010-12-21       Impact factor: 15.992

  4 in total

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