ACCURACY OF COMPRESSED SENSING ACCELERATED 3D-FLAIR IN THE DIAGNOSTIC WORK-UP OF MULTIPLE SCLEROSIS AT 1.5 T

Abstract

BACKGROUND: 3D-FLAIR is central to MR-based diagnosis and monitoring of MS, but long acquisition times remain a limitation. OBJECTIVES: This single-center prospective non-inferiority study evaluated whether compressed sensing (CS) - accelerated 3D-FLAIR at 1.5T provides lesion detection comparable to optimized Generalized Autocalibrating Partially Parallel Acquisition (GRAPPA) - accelerated 3D-FLAIR. Optimized CS- and GRAPPA-accelerated 3D-FLAIR sequences were incorporated into MRI examinations in patients with known or suspected MS. The primary endpoint was manual lesion count by two blinded readers using a 10% non-inferiority margin. Secondary endpoints included image quality, SNR, CNR, and automated lesion count and volumetry. RESULTS: Sixty-eight patients were included (mean age, 40.1+/-13.3 years; 61.8% women). CS-accelerated 3D-FLAIR reduced acquisition time by 31.8% compared with GRAPPA (4:00 vs 5:52 minutes). Non-inferiority for manual lesion count was demonstrated for both readers (reader A, p < .0001; reader B, p = .005). Interrater agreement was excellent for CS (ICC = 0.921; 95% CI, 0.837-0.957) and very good for GRAPPA (ICC = 0.851; 95% CI, 0.769-0.906). Subjective image quality was high for both techniques. GRAPPA showed higher objective signal-to-noise-ratio (SNR) and contrast-to-noise-ratio (CNR), whereas automated lesion counts and volumes were higher for CS. CONCLUSION: CS-accelerated 3D-FLAIR provided non-inferior lesion detection with substantial scan-time reduction.

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BibTeX RIS

BibTeX

@misc{iacoban2026accuracy,
  title = {{ACCURACY OF COMPRESSED SENSING ACCELERATED 3D-FLAIR IN THE DIAGNOSTIC WORK-UP OF MULTIPLE SCLEROSIS AT 1.5 T}},
  author = {C. G. Iacoban and C. Klüner and H. Bösenberg and O. Alykova and M. Gerdes and S. Reuter and C. Mathys and B. Sundermann},
  howpublished = {medRxiv},
  year = {2026},
  month = nov,
  doi = {10.64898/2026.11.02.26367062},
  url = {https://www.medrxiv.org/content/10.64898/2026.11.02.26367062v1},
  note = {CC BY-NC-ND},
}

RIS

TY  - UNPB
TI  - ACCURACY OF COMPRESSED SENSING ACCELERATED 3D-FLAIR IN THE DIAGNOSTIC WORK-UP OF MULTIPLE SCLEROSIS AT 1.5 T
AU  - C. G. Iacoban
AU  - C. Klüner
AU  - H. Bösenberg
AU  - O. Alykova
AU  - M. Gerdes
AU  - S. Reuter
AU  - C. Mathys
AU  - B. Sundermann
PY  - 2026
DA  - 2026/11/02
PB  - medRxiv
DO  - 10.64898/2026.11.02.26367062
UR  - https://www.medrxiv.org/content/10.64898/2026.11.02.26367062v1
AB  - BACKGROUND: 3D-FLAIR is central to MR-based diagnosis and monitoring of MS, but long acquisition times remain a limitation. OBJECTIVES: This single-center prospective non-inferiority study evaluated whether compressed sensing (CS) - accelerated 3D-FLAIR at 1.5T provides lesion detection comparable to optimized Generalized Autocalibrating Partially Parallel Acquisition (GRAPPA) - accelerated 3D-FLAIR. Optimized CS- and GRAPPA-accelerated 3D-FLAIR sequences were incorporated into MRI examinations in patients with known or suspected MS. The primary endpoint was manual lesion count by two blinded readers using a 10% non-inferiority margin. Secondary endpoints included image quality, SNR, CNR, and automated lesion count and volumetry. RESULTS: Sixty-eight patients were included (mean age, 40.1+/-13.3 years; 61.8% women). CS-accelerated 3D-FLAIR reduced acquisition time by 31.8% compared with GRAPPA (4:00 vs 5:52 minutes). Non-inferiority for manual lesion count was demonstrated for both readers (reader A, p < .0001; reader B, p = .005). Interrater agreement was excellent for CS (ICC = 0.921; 95% CI, 0.837-0.957) and very good for GRAPPA (ICC = 0.851; 95% CI, 0.769-0.906). Subjective image quality was high for both techniques. GRAPPA showed higher objective signal-to-noise-ratio (SNR) and contrast-to-noise-ratio (CNR), whereas automated lesion counts and volumes were higher for CS. CONCLUSION: CS-accelerated 3D-FLAIR provided non-inferior lesion detection with substantial scan-time reduction.
ER  -

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