Department of Surgery, University Medical Center Utrecht, Utrecht, Netherlands
Perspective
In Surgical Oncology, Radiomics: Challenges and Applications
Author(s): Ellen Bock*
Many people who have cancerous tumors can get better with surgery. Since multimodality treatment has been linked to promising outcomes in
some types of cancer, more attention has been paid to the combination of surgery and chemotherapy. Despite these findings, there is still
clinical disagreement regarding the ideal patient selection and timing for neo-adjuvant or adjuvant strategies. By assisting in the
prediction of tumor behavior and response to therapy, the emerging field of radiomics, which involves the extraction of advanced features
from radiographic images, has the potential to revolutionize oncologic treatment and advance personalized therapy. Predicting prognosis,
recurrence, survival, and therapeutic response for various cancer types using radiomics and machine learning in patients who have received
neo-adjuvant and/or adjuvant chemotherapy is the focus of.. Read More»
DOI:
10.37421/2471-2671.2023.9.36
Archives of Surgical Oncology received 37 citations as per Google Scholar report