The Zombie Plot: A Simple Graphic Method for Visualizing the Efficacy of a Diagnostic Test

Area of Science:

• Radiology
• Medical Imaging
• Statistical Analysis in Medicine

Background:

• Selecting appropriate imaging tests is crucial for radiologists.
• Clinical decisions often require statistical analysis of imaging efficacy.
• Current methods for evaluating imaging efficacy can be complex.

Purpose of the Study:

• Introduce a novel graphic technique, the ROC plot divided into zones of mostly bad imaging efficacy (ZOMBIE, or "zombie plot").
• Transform numeric imaging efficacy data into a visual format for easier interpretation.
• Aid radiologists in selecting the most appropriate imaging test for clinical scenarios.

Main Methods:

• Development of the "zombie plot" based on ROC curve analysis.
• Transformation of quantitative imaging efficacy metrics into a graphical representation.
• Demonstration of clinical utility through illustrative examples.

Main Results:

• The zombie plot provides a visual domain for imaging efficacy information.
• This technique simplifies the interpretation of statistical data related to imaging performance.
• Online calculators are available to facilitate the creation of zombie plots.

Conclusions:

• Zombie plots offer a practical and intuitive method for evaluating imaging test efficacy.
• The graphic approach enhances decision-making in test selection for radiologists.
• Accessible tools are provided to support the clinical implementation of zombie plots.