A groundbreaking predictive model has been developed to distinguish between skin cancers and precancerous lesions that often appear deceptively similar in both appearance and biopsy results. This innovative approach analyzes the location of skin lesions and surrounding skin conditions in conjunction with biopsy findings.
Samsung Medical Center announced on Wednesday that a research team, led by Dr. Park Ji-hye from the Department of Dermatology and Dr. Kim Jun-young from Kyungpook National University Hospital, has successfully created a diagnostic predictive model to differentiate between Bowen’s disease and actinic keratosis.
Bowen’s disease is classified as an in situ cancer, where malignant cells are confined to the epidermis, the outermost layer of skin. Actinic keratosis, on the other hand, is a precancerous lesion with the potential to progress into skin cancer. Both conditions can manifest as red patches or scaly areas on the skin.
These two conditions pose a significant challenge for dermatologists, as they not only share similar physical appearances but also exhibit comparable characteristics in biopsy results. Currently, there is a lack of universally agreed-upon criteria for clear distinction between the two.
Despite their similarities, the treatment approaches for these conditions differ significantly. Surgical intervention is typically the primary consideration for Bowen’s disease, while non-surgical options such as cryotherapy or topical medications are generally preferred for actinic keratosis.
Mohs micrographic surgery, a technique often employed in treating Bowen’s disease, involves the precise removal of thin layers of skin tissue. These layers are then immediately examined under a microscope to check for the presence of cancer cells. This meticulous approach aims to minimize the loss of healthy tissue by targeting only the areas where cancer cells are confirmed.
The research team conducted an extensive analysis of 253 patients diagnosed with these two conditions at Samsung Medical Center over a five-year period from June 2018 to June 2023. They meticulously compared the locations of lesions, surrounding skin conditions, and cellular changes due to UV exposure in 152 patients with Bowen’s disease and 101 patients with actinic keratosis.
The analysis yielded compelling results, revealing that actinic keratosis displayed distinct characteristics associated with chronic UV exposure. Notably, 90.1% of actinic keratosis lesions were found in areas continuously exposed to sunlight, such as the face and scalp, compared to only 36.2% for Bowen’s disease.
Conversely, biopsy results showed a higher prevalence of atypical cells in Bowen’s disease. Researchers identified an average of 13.68 atypical cells in a 3 mm width of epidermis in Bowen’s disease, significantly higher than the 5.51 found in actinic keratosis.
Leveraging these distinctive differences, the research team developed a sophisticated predictive model that integrates clinical information with biopsy results. To validate the model’s efficacy, they applied it to 207 patients at Kyungpook National University Hospital, achieving an impressive accuracy rate of 95.17%.
It’s important to note that this model is not intended to replace biopsy procedures. Instead, it serves as a valuable tool to aid in differentiation by combining clinical features observed during patient examinations with pathological data.
Dr. Park emphasized the significance of their findings, stating that while Bowen’s disease and actinic keratosis may appear similar, accurate differentiation is crucial due to their distinct treatment approaches. The research demonstrates that by combining clinical observations from skin lesions with biopsy data, it can significantly improve the ability to distinguish between these two conditions.
The research team acknowledged that since the model was developed and validated using data from two medical institutions in Korea, further validation across diverse racial and geographic patient populations is necessary to ensure its broad applicability.
The groundbreaking research findings have been published in the prestigious international journal, The Journal of Dermatology, marking a significant advancement in the field of dermatological diagnostics.
