Statistical plots in oncologic imaging, a primer for neuroradiologists

Author:

Bagheri Sina12,Taghvaei Mohammad3,Familiar Ariana2,Haldar Debanjan24,Zandifar Alireza5,Khalili Nastaran2,Vossough Arastoo125,Nabavizadeh Ali12ORCID

Affiliation:

1. Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

2. Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA

3. Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

4. Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

5. Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA

Abstract

The simplest approach to convey the results of scientific analysis, which can include complex comparisons, is typically through the use of visual items, including figures and plots. These statistical plots play a critical role in scientific studies, making data more accessible, engaging, and informative. A growing number of visual representations have been utilized recently to graphically display the results of oncologic imaging, including radiomic and radiogenomic studies. Here, we review the applications, distinct properties, benefits, and drawbacks of various statistical plots. Furthermore, we provide neuroradiologists with a comprehensive understanding of how to use these plots to effectively communicate analytical results based on imaging data.

Publisher

SAGE Publications

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging,General Medicine

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