EIBALL Session

EIBALL 10 - Building a quantitative imaging research study: a practical session

Lectures

1
Introduction: the EIBALL and QMIC initiative

Introduction: the EIBALL and QMIC initiative

10:00Gudrun Zahlmann, Neumarkt / DE

2
Hypothesis generation: including primary/secondary endpoints and ground truth inclusion, exclusion criteria

Hypothesis generation: including primary/secondary endpoints and ground truth inclusion, exclusion criteria

20:00Laure S. Fournier, Paris / FR

3
Making the measurement: including precision, reproducibility, and validation

Making the measurement: including precision, reproducibility, and validation

20:00Gudrun Zahlmann, Neumarkt / DE

4
Statistical considerations: including study type, main tests, outcome measurements, biases

Statistical considerations: including study type, main tests, outcome measurements, biases

20:00Daniel Bos, Rotterdam / NL

5
Practical issues: including ethics and leg funding, and planning

Practical issues: including ethics and leg funding, and planning

20:00Michael Vinzenz Knopp, Cincinnati / US

10 min
Introduction: the EIBALL and QMIC initiative
Gudrun Zahlmann, Neumarkt / Germany
20 min
Hypothesis generation: including primary/secondary endpoints and ground truth inclusion, exclusion criteria
Laure S. Fournier, Paris / France
  1. To learn about introducing quantitative imaging endpoints in clinical research studies.
  2. To appreciate the relationship between measured biomarkers, ground truth and clinical endpoints.
  3. To understand the principle of reliable quantitative imaging biomarkers (QIBs) and their relation to clinical endpoints.
20 min
Making the measurement: including precision, reproducibility, and validation
Gudrun Zahlmann, Neumarkt / Germany
  1. To learn about the use of metrology concepts in quantitative imaging.
  2. To appreciate terms like precision, accuracy, bias, reliability and reproducibility in quantitative imaging measurements.
  3. To understand the necessity of standardised imaging procedures for measuring QIBs.
20 min
Statistical considerations: including study type, main tests, outcome measurements, biases
Daniel Bos, Rotterdam / Netherlands
  1. To learn about appropriate statistical concepts for the use of QIBs in clinical research studies.
  2. To appreciate the accuracy and bias of QIBs and their statistical representation.
  3. To understand the selection of useful statistical hypotheses and tests for one or multiple biomarkers based on clinical study outcome assessment.
20 min
Practical issues: including ethics and leg funding, and planning
Michael Vinzenz Knopp, Cincinnati / United States
  1. To learn how to plan, manage and analyse QIB-based clinical research studies.
  2. To appreciate the organisational setup and requirements to provide reliable and reproducible results.
  3. To understand the challenges of quantitative imaging biomarker studies and how to use them successfully.

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