Assessment of the optimal interval for and sensitivity of short-term sequential digital dermoscopy monitoring for the diagnosis of melanoma
Abstract
OBJECTIVE: To determine whether 6 weeks could replace 3 months for short-term sequential digital dermoscopy imaging (ST-SDDI) of suspicious melanocytic lesions and determine the proportion of melanomas missed. DESIGN: Consecutive lesions (n = 2602) undergoing ST-SDDI monitored from 1859 patients were included. Half of the patients underwent 6-week monitoring followed by 3-month monitoring (range, 2.5-4.5 months) if changes were not seen. The remainder underwent 3-month monitoring only. Any change during this time led to excision. Lesions unchanged were then followed up over time. SETTING: A tertiary referral institution. MAIN OUTCOME MEASURES: The proportion of changed melanomas (sensitivity) and odds ratios (ORs) for melanoma of changed lesions. RESULTS: Eighty-one melanomas were detected using ST-SDDI (Breslow thickness: median, in situ; maximum, 0.8 mm). Of 39 melanomas detected using ST-SDDI in the 6-week monitored lesions, 27 (69%) were detected at 6 weeks and 12 (31%) at 3 months. The OR for melanoma for a lesion changing at 6 weeks was 19 (95% confidence interval [CI], 10-35), and the overall OR for melanoma for a lesion changing during the short-term monitoring period (6 weeks to 4.5 months) was 47 (95% CI, 23-94). For lesions remaining unchanged at 3 months, 99.2% (1118 of 1127 lesions) were shown to be benign as defined by an unremarkable further follow-up. Seventy-five percent (15 of 20) of the lentigo maligna melanomas, 93% (40 of 43) of other in situ melanomas, and 96% (26 of 27) of the invasive melanomas were detected using ST-SDDI. Conclusion Three months remains the standard interval for ST-SDDI, where the sensitivity for the diagnosis of melanoma for changed (non-lentigo maligna) lesions is high but not 100%.
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Most false-negative melanomas are detected within three months of an initial negative index test, with a small number detected up to 12 months later.
“This interval was chosen based on a study showing that most false-negative melanomas will be diagnosed within three months of the initial negative index test, although a small number will be diagnosed up to 12 months subsequently (Altamura 2008).”
From Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma (2018) · cites this paper as Altamura 2008
Cites
Menzies, S. W. (1996) · Archives of Dermatology · doi:10.1001/archderm.1996.03890340038007 · Cited by 424 · see citing works
Self-citationShort-term Digital Surface Microscopic Monitoring of Atypical or Changing Melanocytic Lesions
Menzies, S. W., Gutenev, A., Avramidis, M., et al. (2001) · Archives of Dermatology · doi:10.1001/archderm.137.12.1583 · Cited by 267 · see citing works
Self-citationKittler, H., Pehamberger, H., Wolff, K., et al. (2000) · Journal of the American Academy of Dermatology · doi:10.1067/mjd.2000.107504 · Cited by 264 · see citing works
Identification of Clinically Featureless Incipient Melanoma Using Sequential Dermoscopy Imaging
Kittler, H., Guitera, P., Riedl, E., Avramidis, M., Teban, L., Fiebiger, M., Weger, R. A., Dawid, M., & Menzies, S. W. (2006) · Archives of Dermatology · doi:10.1001/archderm.142.9.1113 · Cited by 219 · see citing works
Self-citationLimitations of Dermoscopy in the Recognition of Melanoma
Skvara, H., Teban, L., Fiebiger, M., Binder, M., & Kittler, H. (2005) · Archives of Dermatology · doi:10.1001/archderm.141.2.155 · Cited by 197 · see citing works
Haenssle, H. A., Krueger, U., Vente, C., et al. (2006) · Journal of Investigative Dermatology · doi:10.1038/sj.jid.5700119 · Cited by 142 · see citing works
Malvehy, J., & Puig, S. (2002) · Clinics in Dermatology · doi:10.1016/s0738-081x(02)00220-1 · Cited by 131 · see citing works
Surveillance of patients at high risk for cutaneous malignant melanoma using digital dermoscopy
Bauer, J. M., Blum, A., Strohhäcker, U., et al. (2005) · British Journal of Dermatology · doi:10.1111/j.1365-2133.2005.06370.x · Cited by 106 · see citing works
Digital Epiluminescence Microscopy Monitoring of High-Risk Patients
Robinson, J. K., & Nickoloff, B. J. (2004) · Archives of Dermatology · doi:10.1001/archderm.140.1.49 · Cited by 98 · see citing works
Menzies, S. W. (1996) · Archives of Dermatology · doi:10.1001/archderm.132.10.1178 · Cited by 85 · see citing works
Self-citationStolz, W., Schiffner, R., Pillet, L., et al. (1996) · Journal of the American Academy of Dermatology · doi:10.1016/s0190-9622(96)90324-2 · Cited by 78 · see citing works
Long-term dermoscopic follow-up of melanocytic naevi: clinical outcome and patient compliance
Schiffner, R., Schiffner-Rohe, J., Landthaler, M., et al. (2003) · British Journal of Dermatology · doi:10.1046/j.1365-2133.2003.05409.x · Cited by 76 · see citing works
Braun, R.-P., Lemonnier, E., Guillod, J., et al. (1998) · Melanoma Research · doi:10.1097/00008390-199810000-00008 · Cited by 62 · see citing works
Limitations of Dermoscopy in the Recognition of Melanoma
Lang, P. G. (2006) · Yearbook of Dermatology and Dermatologic Surgery · doi:10.1016/s0093-3619(08)70263-6 · Cited by 7 · see citing works
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Menzies, S. W., Emery, J., Staples, M., Davies, S., McAvoy, B., Fletcher, J., Shahid, K. R., Reid, G., Avramidis, M., Ward, A. M., et al. (2009) · British Journal of Dermatology · doi:10.1111/j.1365-2133.2009.09374.x · Cited by 178 · see citing works
Self-citationTeledermatology for diagnosing skin cancer in adults.
Chuchu, N., Dinnes, J., Takwoingi, Y., Matin, R. N., Bayliss, S. E., Davenport, C., Moreau, J. F., Bassett, O., Godfrey, K., O'Sullivan, C., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013193 · Cited by 175 · see citing works
Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma
Chuchu, N., Takwoingi, Y., Dinnes, J., Matin, R. N., Bassett, O., Moreau, J. F., Bayliss, S. E., Davenport, C., Godfrey, K., O'Connell, S., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013192 · Cited by 144 · see citing works
A Multimodal Vision Foundation Model for Clinical Dermatology
Yan, S., Yu, Z., Primiero, C., Vico-Alonso, C., Wang, Z., Yang, L., Tschandl, P., Hu, M., Ju, L., Tan, G., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03747-y · Cited by 117 · see citing works
Wu, X., Oliveria, S. A., Yagerman, S., Chen, L., DeFazio, J., Braun, R., & Marghoob, A. A. (2015) · JAMA Dermatology · doi:10.1001/jamadermatol.2014.3837 · Cited by 67 · see citing works
Kittler, H. (2008) · Archives of Dermatology · doi:10.1001/archderm.144.4.533 · Cited by 20 · see citing works
- Authors
- Altamura, D., Avramidis, M., & Menzies, S. W.
- Affiliations
- Royal Prince Alfred Hospital (AU)
- The University of Sydney (AU)
- ORCID
- Menzies, Scott W.
- Venue
- Archives of Dermatology
- Publisher
- American Medical Association (AMA)
- Published
- 2008-04-01
- Volume
- 144
- Issue
- 4
- Pages
- 502-6
- ISSN
- 0003-987X (ISSN-L)
- OpenAlex
- W2008378711
- Cited by
- 148
- References
- 14
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 8 · 2020: 12 · 2019: 5 · 2018: 13 · 2017: 7 · 2016: 14 · 2015: 7 · 2014: 6 · 2013: 10 · 2012: 19
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Dermatology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- melanoma, melanocytic lesions, follow-up interval, sensitivity, lentigo maligna melanoma, melanoma in situ, invasive melanoma
- MeSH terms
- Artificial Intelligence, Carcinoma in Situ, Cell Transformation, Neoplastic, Dysplastic Nevus Syndrome, Follow-Up Studies, Humans, Image Processing, Computer-Assisted, Melanoma, Neoplasm Invasiveness, Sensitivity and Specificity, Skin, Skin Neoplasms, Software Design, Odds Ratio, Hutchinson's Melanotic Freckle, Dermoscopy
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