Michele Avanzo
Papers
2
Total Citations
56
H-Index
2
About
Michele Avanzo is a leading researcher in medical physics and radiation oncology, whose work centers on integrating advanced imaging and computational methods to personalize cancer therapy. His primary research areas include radiomics, deep learning, and biologically effective dose modeling, with a focus on improving treatment outcomes for lung cancer and spinal tumors. A major contribution is his pioneering approach to combining computed tomography (CT) features with biologically effective dose in machine learning models, as demonstrated in his 2021 study on predicting tumor response to robotic lung stereotactic body radiation therapy (SBRT). This work, which has garnered 34 citations, shows how integrating radiomic and dosimetric data can significantly enhance predictive accuracy, offering a path toward more tailored and effective treatments. Additionally, his 2008 review on spinal radiosurgery technology and clinical outcomes (22 citations) remains a foundational resource in the field. Avanzo’s research bridges the gap between imaging biomarkers and treatment planning, making him a key figure in the evolution of precision radiation oncology. His contributions are highly cited and continue to influence both clinical practice and future research directions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Spinal radiosurgery: technology and clinical outcomes22 citations · 2008