ISMRM25 - Beyond the P-Value

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Beyond the P-Value

Weekday Course

ORGANIZERS: Jana Delfino, Shella Keilholz

Tuesday, 13 May 2025

323AB

13:30 - 15:30

Moderators: Cristian Montalba Zalaquett & Tony Stoecker

Skill Level: Basic to Intermediate

Session Number: Tu-02

CME and CE Credit

Session Number: Tu-02

Overview
Learning statistics is of significant importance among different professionals that work in radiology research, such as data interpretation, study design, hypothesis testing, ensuring data quality and outcome prediction. There are several statistical techniques that are applied depending on the data type, number of groups and observations. Additionally, choosing the right statistical test to demonstrate robustness of your findings can be challenging. This tutorial will be an interactive session to provide guidance on how to properly present the results of methodological studies in a paper, so that the presentation is clear, confidence intervals are properly identified, and the conclusions are statistically justified. Examples of 1) the characterization of a quantitative imaging method, and 2) a case-control study to compare an MRI metric between clinical groups will be presented through jupyter notebooks that the participants can follow and experiment upon during the session itself. The session will present basic statistical concepts and tools, such as sample size, confidence intervals, when to use or not to use inferential statistics and significance testing.

Target Audience
Students and researchers from healthcare and engineering fields that use statistical testing.

Educational Objectives
As a result of attending this course, participants should be able to:
• Summarize how and when to use common statistical tests;
• Explain what common statistical tests can and cannot show;
• Determine correct (and incorrect) use of statistical testing; and
• Apply statistical testing in practice.

13:30		Introduction: Why Statistics Matters to Us All View Presentation Video Sophie Schauman Impact: Statistics are key in MR research. Correct use improves rigor and impact. Misuse leads to errors and mistrust in findings and scientists. This talk covers why statistics matter to us all.
13:50		The Characterization of a Quantitative Imaging Method View Presentation Video Francesco Santini Impact: You have developed a new quantitative imaging method. Congratulations! Now what? How can you demonstrate that this method is as good as you wish it to be? In this talk, we will see how to use statistics to convincingly characterize your results.
14:40		A Case-Control Study To Compare an MRI Metric Between Clinical Groups View Presentation Video Maria Eugenia Caligiuri Impact: Planning to analyze MRI-derived measures in patients vs. healthy subjects or disease subtypes? We'll guide you in choosing between traditional statistics and AI, considering your dataset and hypothesis (e.g., tissue alterations, diagnosis prediction).