Multi-site Multi-vendor Randomized Controlled Trial of Quantitative Knee MRI using a Novel MSK Relaxometry Phantom

Motivation: Quantitative MRI measurements require careful quality assurance due to their sensitivity to factors such as B0 and B1 inhomogeneity. Goal(s): Set up a robust and rigorous workflow for QA using a novel MSK MRI relaxometry phantom. Approach: The phantom was used to standardize the scan protocol and harmonize scanner-related variations of a total of ten 3-Tesla MR scanners (two vendors: GE and Siemens) from nine sites of the PIKASO trial. Results: We were able to achieve less than 4% inter-site inter-vendor coefficient of variation (CV) with inversion recovery T1, single-echo spin-echo T2, and MAPSS T2 and T1rho. Impact: We established a QA process for knee MRI relaxometry using a novel MSK relaxometry phantom for large-scale multi-site studies. By identifying discrepancies in measurements during the study, the QA process will ensure data quality in multi-site studies.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/0064
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
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article

Multi-site Multi-vendor Randomized Controlled Trial of Quantitative Knee MRI using a Novel MSK Relaxometry Phantom

Karl F. Stupic, Alan Li, David R. Rutkowski, Jeff Kammerman 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
Photoacoustic and Ultrasonic Imaging
article

Multi-site Multi-vendor Randomized Controlled Trial of Quantitative Knee MRI using a Novel MSK Relaxometry Phantom

Karl F. Stupic, Alan Li, David R. Rutkowski, Jeff Kammerman, Jeehun Kim, Mei Li, Jean H. Brittain, Richard Lartey, Kathryn E. Keenan, Carl S. Winalski, Stephen E. Russek, Štefan Zbýň, Zhiyuan Zhang, Cassandra Stoffer, Sercan Tosun
article en

Abstract

Motivation: Quantitative MRI measurements require careful quality assurance due to their sensitivity to factors such as B0 and B1 inhomogeneity. Goal(s): Set up a robust and rigorous workflow for QA using a novel MSK MRI relaxometry phantom. Approach: The phantom was used to standardize the scan protocol and harmonize scanner-related variations of a total of ten 3-Tesla MR scanners (two vendors: GE and Siemens) from nine sites of the PIKASO trial. Results: We were able to achieve less than 4% inter-site inter-vendor coefficient of variation (CV) with inversion recovery T1, single-echo spin-echo T2, and MAPSS T2 and T1rho. Impact: We established a QA process for knee MRI relaxometry using a novel MSK relaxometry phantom for large-scale multi-site studies. By identifying discrepancies in measurements during the study, the QA process will ensure data quality in multi-site studies.

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 76%
Photoacoustic and Ultrasonic Imaging
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