Basal cell carcinoma is the most common type of skin cancer across the globe. It spreads locally, destroying the skin in its vicinity and thereby potentially damaging structures such as the nose or eyes if it occurs on the face. “Detecting basal cell carcinoma early allows for less invasive treatment options,” claims Dr. Moritz Ronicke. “In some cases, all that is required is a cream.”
LC-OCT combines two techniques: optical coherence tomography (OCT), that indicates the thickness and extent of the tumor, and confocal microscopy ((LC: Line-field Confocal Microscopy), that takes clear images at the cellular level. The result: vertical, horizontal and three-dimensional images of the skin in real time with a resolution at micrometer scale , in other words a thousandth of a millimeter. By way of comparison, a human hair is approximately 50 micrometers thick.
The AI delivers in real time a color-coded probability value for the presence of basal cell carcinoma. This allows the physician to recognize suspicious areas at a glance . It is still the physician who makes the final diagnosis.
LC-OCT is already being used as standard to detect basal cell carcinoma in the early stages and monitor the success of non-invasive therapies . “Our new approach using “SUBSCANS” would allow patients at a high risk of developing skin cancer to receive a diagnosis even earlier on,” explains Moritz Ronicke. “If the SUBSCAN is routinely used in future, this could lead to more widespread use of creams for treating basal cell carcinoma, even avoiding the need for surgery in such cases.” At the current time, however, it is not possible to offer SUBSCAN routinely, as there is still a lack of data on the sensitivity of the method and it is still too time-consuming.
JAMA Dermatology