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Updated: Dec 23, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
Published on: August 18, 2022
Cutaneous manifestations of internal malignancy
Mareike Alter1, Miriam Mengoni1, Evelyn Gaffal1
1Department of Dermatology, University Medical Center, Magdeburg, Germany.
Recognizing skin conditions linked to internal cancer is crucial for early diagnosis. This includes cutaneous metastases, cancer-associated syndromes, and paraneoplastic syndromes, aiding dermatologists in identifying underlying neoplasms.
Area of Science:
- Dermatology
- Oncology
- Medical Syndromes
Background:
- Skin lesions can indicate internal malignancy, presenting as direct metastases or indirectly through paraneoplastic syndromes.
- Paraneoplastic disorders are indirectly linked to malignancy and are not cancerous themselves.
- Classifications exist based on association likelihood (obligate/facultative) and pathophysiological mechanisms.
Purpose of the Study:
- To review the classification and recognition of skin manifestations associated with internal malignancy.
- To emphasize the importance of dermatologists identifying cancer-associated dermatoses for early cancer diagnosis.
Main Methods:
- Review of existing literature on cutaneous manifestations of internal malignancy.
- Discussion of classification systems for paraneoplastic and cancer-associated skin disorders.
- Emphasis on clinical recognition and diagnostic implications for dermatologists.
Main Results:
- Skin lesions are categorized into cutaneous metastases, cancer-associated genetic syndromes, paraneoplastic syndromes, and nonspecific manifestations.
- Paraneoplastic syndromes are indirectly associated with malignancy.
- Recognition of these dermatoses aids in the early diagnosis of underlying neoplasms.
Conclusions:
- Dermatologists play a key role in identifying skin lesions that signal internal malignancy.
- Understanding the spectrum of cancer-associated dermatoses improves diagnostic accuracy and patient outcomes.
- Prompt recognition facilitates the timely diagnosis of underlying cancers.
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