Porphyria cutanea tarda (PCT) is the most common subtype of porphyria and results from a deficiency of the enzyme uroporphyrinogen decarboxylase. Even after successful treatment, patients can be left with significant scarring, and there is little published data on the safety and efficacy of light-based or laser-based therapies.
This report examines a case of a 47-year-old male with PCT secondary to HCV, treated with a combination of fractionated erbium-doped yttrium-aluminum-garnet (Er:YAG), intense pulsed light (IPL), and carbon dioxide (CO2) lasers to address significant scarring and residual skin damage. An artificial intelligence model was used to quantify the results of the laser procedures.
After combination laser treatment, the patient exhibited marked improvements in skin texture, reduction in scar visibility, and diminished hyperpigmentation. The artificial intelligence algorithm quantified the laser results and showed improvements in the scores used in the large language model.
In this patient, customizing a combination of lasers to target different layers of the skin to achieve comprehensive improvement: erbium primarily addressed superficial irregularities and pigmentation, while CO2 promoted deeper collagen remodeling. The use of artificial intelligence to quantify the positive results in this case is in line with the clinical evaluations and photos.