Machine-learning prediction model for acute skin toxicity after breast radiation therapy using spectrophotometry.

Savino Cilla,Carmela Romano,Gabriella Macchia,Mariangela Boccardi,Donato Pezzulla,Milly Buwenge,Augusto Di Castelnuovo,Francesca Bracone,Amalia De Curtis,Chiara Cerletti,Licia Iacoviello,Maria Benedetta Donati,Francesco Deodato,Alessio Giuseppe Morganti

Frontiers in oncology（2022）

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摘要

Spectrophotometry is an objective and reliable tool able to assess radiation induced skin tissue injury. Using a machine learning approach, we were able to predict grade RTOG ≥2 skin toxicity in patients undergoing breast RT. This approach may prove useful for treatment management aiming to improve patient quality of life.

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关键词

breast,machine learning,radiation oncology,spectrophotometry,toxicity

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