Kesty Chelsea E, Kesty Katarina R
St. Petersburg Skin and Laser, St. Petersburg, Florida, USA.
Kesty AI, St. Petersburg, Florida, USA.
J Cosmet Dermatol. 2025 Apr;24(4):e70056. doi: 10.1111/jocd.70056.
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 (CO) 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 CO 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.
迟发性皮肤卟啉病（PCT）是卟啉病最常见的亚型，由尿卟啉原脱羧酶缺乏引起。即使成功治疗后，患者仍可能留下明显瘢痕，关于光基或激光基治疗的安全性和有效性的已发表数据很少。
本报告研究了一例47岁继发于丙型肝炎病毒（HCV）的PCT男性患者，采用分次掺铒钇铝石榴石（Er:YAG）、强脉冲光（IPL）和二氧化碳（CO）激光联合治疗，以解决明显瘢痕和残留皮肤损伤问题。使用人工智能模型对激光治疗结果进行量化。
联合激光治疗后，患者皮肤质地明显改善，瘢痕可见度降低，色素沉着减轻。人工智能算法对激光治疗结果进行了量化，并显示在大语言模型中使用的评分有所改善。
在该患者中，定制联合激光治疗以针对皮肤不同层次，实现全面改善：铒激光主要解决浅表不规则问题和色素沉着，而二氧化碳激光促进更深层的胶原蛋白重塑。在该病例中使用人工智能量化积极结果与临床评估和照片一致。
