scholarly journals 2D phase-sensitive inversion recovery imaging to measure in vivo spinal cord gray and white matter areas in clinically feasible acquisition times

2014 ◽  
Vol 42 (3) ◽  
pp. 698-708 ◽  
Author(s):  
Nico Papinutto ◽  
Regina Schlaeger ◽  
Valentina Panara ◽  
Eduardo Caverzasi ◽  
Sinyeob Ahn ◽  
...  
Keyword(s):  
Spinal Cord ◽  
White Matter ◽  
Inversion Recovery ◽  
Phase Sensitive Inversion Recovery ◽  
Inversion Recovery Imaging ◽  
Phase Sensitive

scholarly journals Improved visualisation of hepatic metastases in gadoxetate disodium-enhanced MRI: Potential of contrast-optimised (phase-sensitive) inversion recovery imaging

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213408 ◽  
Author(s):  
Ute Lina Fahlenkamp ◽  
Günther Engel ◽  
Lisa Christine Adams ◽  
Sarah Maria Böker ◽  
Minh Huynh Anh ◽  
...  
Keyword(s):  
Hepatic Metastases ◽  
Inversion Recovery ◽  
Gadoxetate Disodium ◽  
Phase Sensitive Inversion Recovery ◽  
Inversion Recovery Imaging ◽  
Enhanced Mri ◽  
Phase Sensitive

scholarly journals 3D-Fast Gray Matter Acquisition with Phase Sensitive Inversion Recovery Magnetic Resonance Imaging at 3 Tesla: Application for detection of spinal cord lesions in patients with multiple sclerosis

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0247813
Author(s):  
Adrien Goujon ◽  
Sonia Mirafzal ◽  
Kevin Zuber ◽  
Romain Deschamps ◽  
Jean-Claude Sadik ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Gray Matter ◽  
Contrast Ratio ◽  
Random Order ◽  
Lesion Detection ◽  
Inversion Recovery ◽  
3 Tesla ◽  
Phase Sensitive Inversion Recovery ◽  
Spinal Cord Lesions ◽  
Phase Sensitive

Background and purpose To compare 3D-Fast Gray Matter Acquisition with Phase Sensitive Inversion Recovery (3D-FGAPSIR) with conventional 3D-Short-Tau Inversion Recovery (3D-STIR) and sagittal T1-and T2-weighted MRI dataset at 3 Tesla when detecting MS spinal cord lesions. Material and methods This prospective single-center study was approved by an institutional review board and enrolled participants from December 2016 to August 2018. Two neuroradiologists blinded to all data, individually analyzed the 3D-FGAPSIR and the conventional datasets separately and in random order. Discrepancies were resolved by consensus by a third neuroradiologist. The primary judgment criterion was the number of MS spinal cord lesions. Secondary judgment criteria included lesion enhancement, lesion delineation, reader-reported confidence and lesion-to-cord-contrast-ratio. A Wilcoxon’s test was used to compare the two datasets. Results 51 participants were included. 3D-FGAPSIR detected significantly more lesions than the conventional dataset (344 versus 171 respectively, p<0.001). Two participants had no detected lesion on the conventional dataset, whereas 3D-FGAPSIR detected at least one lesion. 3/51 participants had a single enhancing lesion detected by both datasets. Lesion delineation and reader-reported confidence were significantly higher with 3D-FGAPSIR: 4.5 (IQR 1) versus 2 (IQR 0.5), p<0.0001 and 4.5 (IQR 1) versus 2.5 (IQR 0.5), p<0.0001. Lesion-to-cord-contrast-ratio was significantly higher using 3D-FGAPSIR as opposed to 3D-STIR and T2: 1.4 (IQR 0,3) versus 0.4 (IQR 0,1) and 0.3 (IQR 0,1)(p = 0.04). Correlations with clinical data and inter- and intra-observer agreements were higher with 3D-FGAPSIR. Conclusion 3D-FGAPSIR improved overall MS spinal cord lesion detection as compared to conventional set and detected all enhancing lesions.

Sign in / Sign up

Export Citation Format

Share Document