ISMRM21 - Statistics for MRI

Statistics for MRI

Weekend Course

ORGANIZERS: Daniel Gallichan, Fernando Calamante

Saturday, 15 May 2021

Concurrent 4

13:45 - 14:30

Moderators: Irena Zivkovic & Woojin Jung

Skill Level: Basic to Intermediate

Session Number: WE-08

Parent Session: Statistics for MRI

Session Number: WE-08

Overview
This half-day Educational course will provide an introduction to statistical methods for imaging studies. The course will focus on concepts of study design and data analysis that are frequently used in imaging studies. Topics to be covered include prospective and retrospective studies, error rates and hypothesis testing, ROC curves, basic sample size calculations, methods for evaluating quantitative imaging biomarkers, and statistical concepts in radiomics analysis.

Target Audience
Radiologists, scientists, medical physicists, engineers, and clinicians who would like an overview of the foundations of study design and statistical analysis methods focused on imaging tests.

Educational Objectives
As a result of attending this course, participants should be able to:
- Describe different study designs;
- Apply basic statistical methods for evaluating imaging tests;
- Identify the information necessary to perform sample size calculations; and
- Identify key concepts and biases in radiomics analyses.

		Designing Studies of Diagnostic Imaging Video Permission Withheld Susan Mallett This session introduces key concepts in designing imaging studies to measure diagnostic test accuracy and how to put answering your clinical question at the heart of the study design.
		Basic Concepts in Measurement Error Watch the Video Alice Sitch This session introduces the concept of measurement error and considers the key questions: What is ‘measurement error’? and Why do we need to estimate ‘measurement error'? An example of a liver fibrosis monitoring study is used to introduce the key information and the generic design for imaging studies is also considered.
		Study Designs & Bias Video Permission Withheld Susan Mallett This session introduces how you can use risk of bias checklists to help you identify key design features needed for your imaging study.
		Monitoring Studies Watch the Video Alice Sitch This session follows on from introducing the concept of measurement error and considers the key questions: What are monitoring studies? How can tests impact patients? And how can monitoring strategies be planned? This session introduces the concept of monitoring strategies and demonstrates how these can be planned with knowledge of the measurement error of tests.
		Understanding Variability Including Interreader & Intrareader Studies Watch the Video Alice Sitch This session follows on from introducing the concept of measurement error and monitoring studies and considers the key questions: How are real variability studies conducted? And how can variability estimates help us plan test evaluation studies? This session reviews the design and results of studies used to estimate inter and intra reader variability and the impact of these results on further test evaluation studies.
		Advanced Methods & Reporting Video Permission Withheld Susan Mallett This session helps you report your study so it is useful to others including: using reporting guidelines from the EQUATOR network website; usefulness of reporting raw study data, understanding which units are important in your analysis. Issues in test thresholds and ROC AUC are discussed, and reporting study results in natural numbers to aid comprehension.