Case Reports and Artificial Intelligence Challenges on Squamous Cell Carcinoma Developed on Chronic Radiodermitis

Area of Science:

• Oncology
• Dermatology
• Artificial Intelligence

Background:

• Radiodermitis, a skin condition from radiation, can present diagnostic challenges.
• Long-term complications of radiotherapy include secondary malignancies.
• Early and accurate diagnosis of radiodermatitis complications is crucial for patient outcomes.

Observation:

• Two cases of squamous cell carcinoma (SCC) arising in chronic radiodermatitis sites are presented.
• Case 1: 74-year-old female with SCC on radiodermatitis 20 years post-breast cancer radiotherapy.
• Case 2: 60-year-old female with verrucous SCC on radiodermatitis 40 years post-mycosis radiotherapy.

Findings:

• Histological confirmation of squamous cell carcinoma in both cases.
• AI challenges in diagnosing complex radiodermitis with limited training data.
• Proposed adaptation of the IntMediSys intelligent system for decision support in radiodermitis diagnosis.

Implications:

• Highlights the possibility of SCC development on chronic radiodermatitis after long latency periods.
• Suggests a collaborative AI-driven decision support system for complex radiodermitis diagnosis.
• Lays the groundwork for advanced AI in managing radiation-induced skin conditions.