Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: J Am Acad Dermatol. 2011 Jun;64(6):1186–1188. doi: 10.1016/j.jaad.2010.06.021

Aids to Detection of Changing Pigmented Lesions during Partner-Assisted Skin Examination

June K Robinson *, Jerod Stapleton **, Rob Turrisi ***, Kimberly A Mallett **, Mary Martini *
PMCID: PMC3096826  NIHMSID: NIHMS216302  PMID: 21571185

Recognition of change in nevi requires comparison of lesions over 6 months to one year.1 Melanoma patients performing partner-assisted skin examination (PASE) needed a way to monitor moles2; thus, body maps with margin notes; and body maps with a scorecard were sequentially assessed.

As previously described, Stage I and II A melanoma patients and their partners learned to assess moles for ABCDE (asymmetry, border irregularity, color variegation, diameter ≥6 mm, and evolution) in a skills training session.2 Because the first group did not use asymmetry, the A was changed to Assess (Table 1). The institutional review boards of Dartmouth–Hitchcock Medical Center and Northwestern University approved the research protocol.

Table 1.

Scorecard

Assess Features of Mole #1 Baseline First Month Second Month Third Month
Irregular Border*
Variety of Colors^
Diameter (mm)!
*
Score the border irregularity as:
  • 1
    = regular border or smooth border. A regular, smooth border may have 1 projection.
  • 2
    = cannot decide
  • 3
    = irregular
^
Score the color variation as:
  • 1
    = one or two even colors of the mole without blending of color.
  • 2
    = cannot decide
  • 3
    = a variety of shades of brown, black, red, blue-black or white over the surface of the mole with blending of the colors like wet finger paint.
!

Measured the largest diameter of the pigmented lesion with a millimeter ruler.

Outcome measures were frequency of use and helpfulness of the aid, the number of watched lesions, and lesions designated as changing by the patient at the 4 month visit in comparison with the dermatologist's evaluation using dermoscopy. Only lesions clinically concerning to the dermatologist were biopsied.

There were no differences in age, gender, education, and income of the groups. The body maps with scorecard were used more often than the body map. (χ2 (1, N = 67) = 12.66, p < .001) The body maps with scorecard were more helpful in recognizing change than the body maps. (χ2 (1, N = 46) = 23.50, p < .001). Using one-way ANOVAs, significant differences were found between the 2 groups when comparing the mean number of self-reported watched lesions (F (2, 82) = 7.60, p < .001) and the number of changing lesions shown to the dermatologist. (F (2, 99) = 13.75, p < .001) (Table 2).

Table 2.

Pigmented Lesions Reported by Pairs with Clinical and Pathologic Diagnosis

Characteristic Group A Group B
Body Maps Alone (n = 26) Body Maps + Scorecard (n = 26)

Pigmented Lesions

Mean Number of Watched Lesions on Body Map (range) 14.64 (0–68) 21.00* (1–59)

Mean Number of Changing Lesions Reported at 4 months to the Dermatologist (range) 9.00* (2–20) 2.00 (0–3)

Clinical Diagnosis by the Dermatologist # Patients (Range of lesions per patient)

Seborrheic keratosis 6 ( 1–16)* 0

Nevi 2 (1–4) 0

Dysplastic nevi 1 2

Melanoma 0 1

Number of Biopsies 1 3

Pathologic diagnosis

 Dysplastic nevi 0 1

 Melanoma in situ 1 2
*

Significant between group differences (Tukey's LSD posthoc tests, p <.001)

Because partners had difficulty identifying asymmetry in moles, we modified the ABCDE rule to: Assess each mole for Border irregularity, Color variation, Diameter ≥ 6 mm, and Evolution of one or more features. The sensitivity and specificity of diagnosis of melanoma are 65.5% and 81%, respectively, if 3 criteria of the ABCD are present.3 Thus, replacing Asymmetry with Assess and having people check for B, C and D has acceptable sensitivity and specificity.

The scorecard was an “anchor” to compare the current features of the mole with its prior appearance. The success of calorie counting in the daily food records of weight loss programs led one of the authors (JKR) to develop the scorecard.4 Our hypothesis was that the act of measuring and counting nevi gave some people a sense of control over the uncertainty of being at risk to develop another melanoma. By assessing the features, pairs were able to make decisions about change in a pigmented lesion. Clinicians monitor clinically suspicious nevi for 3 months rather than biopsy immediately, thus, our study allowed participants to monitor the lesion over 3 months and then be evaluated by the dermatologist.5 Not only did the pairs using the scorecard identify changing lesions but they also seem to have reassured themselves that seborrheic keratoses were not concerning.

While the sample size is small and the duration of the study is limited, the scorecard is a promising aide to assist PASE detection of a changing lesion. In 2008, the American Academy of Dermatology offered the Body Mole Map to guide people. Offering the scorecard as part of this recording system may help monitor nevi for change.

Acknowledgments

Funding: Supported by 5R21 CA-103833-02 to June K. Robinson, MD from the National Cancer Institute

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Conflict of interest disclosure:none declared

References

  • 1.Liu W, Dowling JP, Murray WK, McArthur GA, Thompson JF, Wolfe R, et al. Rate of growth in melanoma characteristics and associations of rapidly growing melanoma. Arch Dermatol. 2006;142:1551–1558. doi: 10.1001/archderm.142.12.1551. [DOI] [PubMed] [Google Scholar]
  • 2.Robinson JK, Turrisi R, Stapleton J. Efficacy of a partner assistance intervention designed to increase skin self-examination performance. Arch Dermatol. 2007;143:37–41. doi: 10.1001/archderm.143.1.37. [DOI] [PubMed] [Google Scholar]
  • 3.Thomas L, Tranchand P, Berard F, Secchi T, Colin C, Moulin G. Semiological value of the ABCDE criteria in the diagnosis of cutaneous pigmented tumours. Dermatology. 1988;19:11–7. doi: 10.1159/000017969. [DOI] [PubMed] [Google Scholar]
  • 4.Streit K, Johnson K, Stevens NH, Stevens VJ, Rossner H. Food records: a predictor and modifier of weight change in a long-term weight loss program. J Am Dietetic Assoc. 1991;91:213. [PubMed] [Google Scholar]
  • 5.Menzies SW, Gutenev A, Avramidis M, Batrac A, Mc Carthy W. Short-term digital surface microscopy monitoring atypical or changing melanocytic lesions. Arch Dermatol. 2001;137:1583–89. doi: 10.1001/archderm.137.12.1583. [DOI] [PubMed] [Google Scholar]

RESOURCES