Statistical plots in oncologic imaging, a primer for neuroradiologists

Area of Science:

• Medical Imaging
• Data Visualization
• Oncology

Background:

• Scientific analysis relies heavily on visual aids like plots for clear data presentation.
• Statistical plots enhance data accessibility, engagement, and comprehension in research.
• Oncologic imaging, including radiomic and radiogenomic studies, increasingly uses visual representations.

Purpose of the Study:

• To review the applications, properties, benefits, and drawbacks of diverse statistical plots.
• To equip neuroradiologists with knowledge on effectively using plots for imaging data analysis.
• To enhance the communication of analytical results derived from medical imaging.

Main Methods:

• Literature review of statistical plotting techniques.
• Analysis of plot applications in oncologic imaging and radiogenomics.
• Evaluation of distinct properties, advantages, and limitations of various plots.

Main Results:

• Identified key statistical plots used in scientific analysis and medical imaging.
• Detailed the unique characteristics and utility of each plot type.
• Highlighted the importance of plot selection for effective data interpretation.

Conclusions:

• Statistical plots are essential tools for communicating complex scientific findings, particularly in imaging.
• Understanding different plot types enables better data representation and interpretation in neuroradiology.
• Effective use of visualizations can significantly improve the impact of oncologic imaging research.