Alteration of skeletal muscle energy metabolism assessed by 31 P MRS in clinical routine: Part 2. Clinical application

• Published in: NMR in biomedicine 2023-12, Vol.36 (12), p.e5031-e5031
• Main Authors: Naëgel, Antoine, Ratiney, Hélène, Karkouri, Jabrane, Kennouche, Djahid, Royer, Nicolas, Slade, Jill M., Morel, Jérôme, Croisille, Pierre, Viallon, Magalie
• Format: Article
• Language: English
• ISSN: 0952-3480; 1099-1492
• DOI: 10.1002/nbm.5031

In this second part of a two‐part paper, we intend to demonstrate the impact of the previously proposed advanced quality control pipeline. To understand its benefit and challenge the proposed methodology in a real scenario, we chose to compare the outcome when applying it to the analysis of two patient populations with significant but highly different types of fatigue: COVID‐19 and multiple sclerosis (MS). 31 P‐MRS was performed on a 3 T clinical MRI, in 19 COVID‐19 patients, 38 MS patients, and 40 matched healthy controls. Dynamic acquisitions using an MR‐compatible ergometer ran over a rest (40 s), exercise (2 min), and a recovery phase (6 min). Long and short T R acquisitions were also made at rest for T 1 correction. The advanced data quality control pipeline presented in Part 1 is applied to the selected patient cohorts to investigate its impact on clinical outcomes. We first used power and sample size analysis to estimate objectively the impact of adding the quality control score (QCS). Then, comparisons between patients and healthy control groups using the validated QCS were performed using unpaired t tests or Mann–Whitney tests ( p