Statistics of Referencing Susceptibility Maps in the Context of Clinical QSM Studies

Motivation: In QSM, there is no well-established susceptibility baseline . This can be determined a-posteriori by referencing to a specific tissue but this may impact statistics in clinical studies. Goal(s): To derive an expression for a t-test under referencing, and to investigate the effect of commonly used reference regions on a temporal lobe epilepsy study. Approach: Reference regions were compared: three anatomical structures and three derived from global thresholds. Changes in covariances, t-test results, and regional susceptibility distributions are presented. Results: Referencing to small regions has a bigger impact on statistical analyses than large references. Reference regions should have a low variance across groups. Impact: Referencing QSM susceptibility values is essential, but highly contested in practice, particularly in clinical applications. We clarify the statistical theory, and investigate the impact of referencing susceptibility measurements to different regions to facilitate practical implementation and clinical applications.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2617
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistics of Referencing Susceptibility Maps in the Context of Clinical QSM Studies

Patrick Fuchs, Karin Shmueli, Oliver Kiersnowski, Carlos Milovic et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Computational Drug Discovery Methods
article

Statistics of Referencing Susceptibility Maps in the Context of Clinical QSM Studies

Patrick Fuchs, Karin Shmueli, Oliver Kiersnowski, Carlos Milovic, Jonathan D. Clayden
article en

Abstract

Motivation: In QSM, there is no well-established susceptibility baseline . This can be determined a-posteriori by referencing to a specific tissue but this may impact statistics in clinical studies. Goal(s): To derive an expression for a t-test under referencing, and to investigate the effect of commonly used reference regions on a temporal lobe epilepsy study. Approach: Reference regions were compared: three anatomical structures and three derived from global thresholds. Changes in covariances, t-test results, and regional susceptibility distributions are presented. Results: Referencing to small regions has a bigger impact on statistical analyses than large references. Reference regions should have a low variance across groups. Impact: Referencing QSM susceptibility values is essential, but highly contested in practice, particularly in clinical applications. We clarify the statistical theory, and investigate the impact of referencing susceptibility measurements to different regions to facilitate practical implementation and clinical applications.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 74%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.