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Cloudy and starry milia‐like cysts: how well do they distinguish seborrheic keratoses from malignant melanomas?
Open accessAbstract
Background Seborrheic keratoses are the most common skin lesions known to contain small white or yellow structures called milia‐like cysts (MLCs). Varied appearances can sometimes make it difficult to differentiate benign lesions from malignant lesions such as melanoma, the deadliest form of skin cancer found in humans. Objective The purpose of this study was to determine the statistical occurrence of MLCs in benign vs. malignant lesions. Methods A medical student with 10 months experience in examining approximately 1000 dermoscopy images and a dermoscopy‐naïve observer analysed contact non‐polarized dermoscopy images of 221 malignant melanomas and 175 seborrheic keratoses for presence of MLCs. Results The observers found two different types of MLCs present: large ones described as cloudy and smaller ones described as starry. Starry MLCs were found to be prevalent in both seborrheic keratoses and melanomas. Cloudy MLCs, however, were found to have 99.1% specificity for seborrheic keratoses among this group of seborrheic keratoses and melanomas. Conclusion Cloudy MLCs can be a useful tool for differentiating between seborrheic keratoses and melanomas.
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“Dermatoscopes in the primary care setting can inform decisions for biopsy and timely referral to dermatology, improve diagnostic accuracy of pigmented lesions, and facilitate earlier detection of melanoma and basal cell carcinoma9–20.”
From Dermoscopy practice guidelines for use in telemedicine (2022) · cites this paper as [15]
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Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the Internet
Argenziano, G., Soyer, H. P., Chimenti, S., Talamini, R., Corona, R., Sera, F., Binder, M., Cerroni, L., De Rosa, G., Ferrara, G., et al. (2003) · Journal of the American Academy of Dermatology · doi:10.1067/mjd.2003.281 · Cited by 1,208
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Menzies, S. W., Kreusch, J., Byth, K., Pizzichetta, M. A., Marghoob, A., Braun, R., Malvehy, J., Puig, S., Argenziano, G., Zalaudek, I., et al. (2008) · Archives of Dermatology · doi:10.1001/archderm.144.9.1120 · Cited by 306
Self-citationMilia: A review and classification
Berk, D. R., & Bayliss, S. J. (2008) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2008.07.034 · Cited by 134
Changchien, L., Dusza, S. W., Agero, A. L. C., Korzenko, A., Braun, R. P., Sachs, D. L., Usman, M. H. U., Halpern, A. C., & Marghoob, A. A. (2007) · Archives of Dermatology · doi:10.1001/archderm.143.8.1007 · Cited by 94
Burroni, M., Nami, N., & Rubegni, P. (2009) · Skin Research and Technology · doi:10.1111/j.1600-0846.2009.00349.x · Cited by 2
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Dinnes, J., Deeks, J. J., Chuchu, N., Matin, R., Wong, K. Y., Aldridge, R. B., Durack, A., Gulati, A., Chan, S. A., Johnston, L., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011901.pub2 · Cited by 128
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Deda, L. C., Goldberg, R. H., Jamerson, T. A., Lee, I., & Tejasvi, T. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00587-9 · Cited by 43
Carrera, C., Segura, S., Aguilera, P., Takigami, C. M., Gomes, A. C. B., Barreiro, A., Scalvenzi, M., Longo, C., Cavicchini, S., Thomas, L., et al. (2017) · Dermatology · doi:10.1159/000486851 · Cited by 40
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Carvalho, R., Pedrosa, J., & Nedelcu, T. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-90439-5_3 · Cited by 10
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Palit, A., Sethy, M., Nayak, A. K., Ayyanar, P., & Behera, B. (2020) · Indian Journal of Dermatology Venereology and Leprology · doi:10.4103/ijdvl.ijdvl_167_20 · Cited by 9
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Huet, P., Jegou, M. ‐., Bourlond, F., Dupin, C., & Cribier, B. J. (2020) · Annales de Dermatologie et de Vénéréologie · doi:10.1016/j.annder.2020.01.014 · Cited by 8
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Chiţu, V., Zurac, S., & Cipi, A. E. (2015) · Romanian Journal of Internal Medicine · doi:10.1515/rjim-2015-0047 · Cited by 6
Dermoscopy: distinguishing malignant tumors from benign
Gulia, A., Brunasso, A. M. G., & Massone, C. (2012) · Expert Review of Dermatology · doi:10.1586/edm.12.47 · Cited by 6
Valentini, R., Quinn, J., & Murphy, M. J. (2025) · Clinics in Dermatology · doi:10.1016/j.clindermatol.2025.01.012 · Cited by 5
Solar lentigines, seborrheic keratoses, and lichen planus-like keratosis
Wang, S. Q., Rabinovitz, H. S., Oliviero, M., & Marghoob, A. A. (2012) · Informa Healthcare eBooks · doi:10.3109/9781841847627.007 · Cited by 5
Self-citationPicoto, A. (2015) · Springer eBooks · doi:10.1007/978-3-662-45139-7_88 · Cited by 4
Korecka, K., Pietkiewicz, P., Akay, B. N., Badiu, I., Errichetti, E., Liopyris, K., Longo, C., Marghoob, A. A., Navarrete‐Dechent, C., Paoli, J., et al. (2025) · Clinical and Experimental Dermatology · doi:10.1093/ced/llaf255 · Cited by 2
Dermatoscopic and Histopatological Aspect of Preneoplasia and Skin Cancers - Study on 74 Patients.
Stoica, L. E., Voiculescu, M., & Cirstea, C. (2015) · PubMed Central · doi:10.12865/chsj.41.02.15 · Cited by 2
Wang, S.-Q., Liu, J., Qu, T., Fang, K., & Jin, H. (2021) · International Journal of Dermatology and Venereology · doi:10.1097/jd9.0000000000000194 · Cited by 2
Diagnostic Strategies and Algorithms of Dermoscopy
Liu, J., & Zou, X. (2022) · Springer eBooks · doi:10.1007/978-981-19-1460-7_4 · Cited by 1
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Marghoob, A. A., & Braun, R. P. (2012) · Informa Healthcare eBooks · doi:10.3109/9781841847627.004 · Cited by 1
Trichoepithelioma arising in a congenital melanocytic nevus of an adult: A diagnostic pitfall
Atzori, L., Corbeddu, M., Fumo, G., Ferreli, C., Pilloni, L., & Rongioletti, F. (2018) · doi:10.35841/clinical-dermatology.1.1.2-4 · Cited by 1
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Malakar, S., & Mukherjee, S. (2018) · Our Dermatology Online · doi:10.7241/ourd.20183.29 · Cited by 1
Template Matching for Detection of Starry Milia-Like Cysts in Dermoscopic Images
Subramanian, V., Moss, R. H., Rader, R. K., Mahajan, S. K., & Stoecker, W. V. (2013) · International Conference on Computer Vision Theory and Applications · doi:10.5220/0004227504440448
Self-citationÖzbağçıvan, Ö., Lebe, B., Akarsu, S., & Fetil, E. (2015) · TURKDERM · doi:10.4274/turkderm.93764
Seborrheic Keratosis and Related Disorders
Liu, J., & Zou, X. (2022) · Springer eBooks · doi:10.1007/978-981-19-1460-7_8
Dermoscopic findings in two cases of keratoacanthoma en plaque
Inoue, M., Goto, H., Hirata, C., Tsujino, M., Sowa‐Osako, J., Hayashi, E., & Tsuruta, D. (2023) · The Journal of Dermatology · doi:10.1111/1346-8138.16915
Langage métaphorique, 2e partie – kératose séborrhéique
Huet, P. (2024) · Annales de Dermatologie et de Vénéréologie - FMC · doi:10.1016/j.fander.2023.10.009
Huet, P. (2025) · Annales de Dermatologie et de Vénéréologie - FMC · doi:10.1016/j.fander.2025.02.002
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Lizana, C. V., Torrens, M. D. M. B., Sanz, M. R. S., Manzano, M. S., Miralles, M. A., & Pérez, I. D. (2025) · FMC - Formación Médica Continuada en Atención Primaria · doi:10.1016/j.fmc.2025.09.001
Dermoscopy 101: Milia-Like Cysts in Seborrheic Keratoses
Pohutsky, J. (2026) · Journal of the Dermatology Nurses’ Association · doi:10.1097/jdn.0000000000000867
Scotti, B., Baraldi, C., Veneziano, L., Magnaterra, E., Venturi, F., Vaccari, S., & Dika, E. (2026) · Archives of Dermatological Research · doi:10.1007/s00403-026-04953-5
Pietkiewicz, P., Koper, M., Falkowski, P., Lesiak, A., Calik, J., Korecka, K., Giedziun, P., Akay, B. N., Kohut, I., Chia, J. C., et al. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1972723
Metadata
- Authors
- Stricklin, S. M., Stoecker, W. V., Oliviero, M. C., Rabinovitz, H. S., & Mahajan, S. K.
- Affiliations
- Missouri University of Science and Technology (US)
- Corresponding author
- Stoecker, W.V.
- Venue
- Journal of the European Academy of Dermatology and Venereology
- Publisher
- Wiley
- Published
- 2010-11-29
- Volume
- 25
- Issue
- 10
- Pages
- 1222-1224
- ISSN
- 0926-9959 (ISSN-L)
- 1468-3083
- PMC
- PMC3212814
- OpenAlex
- W1510182400
- Cited by
- 33
- References
- 5
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 2 · 2018: 4 · 2017: 3 · 2015: 4 · 2013: 2 · 2012: 3
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the European Academy of Dermatology and Venereology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R43CA153927, R44CA101639, SBIR R44 CA-101639-02A2)
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Health Sciences › Medicine › Dermatology › Cancer and Skin Lesions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
- Keywords
- seborrheic keratosis, melanoma, dermoscopy, diagnostic specificity
- MeSH terms
- Diagnosis, Differential, Humans, Melanoma, Retrospective Studies, Sensitivity and Specificity, Skin, Skin Neoplasms, Observer Variation, Keratosis, Seborrheic, Cytoplasmic Structures, Dermoscopy
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