Radiomic Analysis in Pituitary Tumors: Current Knowledge and Future Perspectives

Area of Science:

• Radiology
• Medical Imaging
• Oncology

Background:

• Radiomics extracts quantitative features from medical images.
• It analyzes textural information and spatial signal intensity distribution.
• Pituitary tumors are increasingly studied using radiomics.

Purpose of the Study:

• To provide a comprehensive overview of radiomics in pituitary tumors.
• To explore radiomic features' association with clinical and histopathological data.
• To assess the prognostic value of radiomics in pituitary tumors.

Main Methods:

• Extraction of radiomic features from pituitary MRI images.
• Correlation of radiomic parameters with invasiveness, aggressiveness, and clinical data.
• Evaluation of radiomic features for predicting recurrence and treatment response.

Main Results:

• Radiomic features offer insights into pituitary tumor characteristics.
• Associations found between radiomic parameters and tumor behavior.
• Potential prognostic value for predicting outcomes and treatment response.

Conclusions:

• Radiomics is a valuable tool for pituitary tumor analysis.
• Further research is needed to integrate radiomics into clinical practice.
• Addressing current limitations is crucial for routine application.