HARDI-ZOOMit protocol improves specificity to microstructural changes in presymptomatic myelopathy

Diffusion magnetic resonance imaging (dMRI) proved promising in patients with non-myelopathic degenerative cervical cord compression (NMDCCC), i.e., without clinically manifested myelopathy. Aim of the study is to present a fast multi-shell HARDI-ZOOMit dMRI protocol and validate its usability to de...

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Bibliographic Details
Published in:Scientific reports 2020-10, Vol.10 (1), p.17529-17529, Article 17529
Main Authors: Labounek, René, Valošek, Jan, Horák, Tomáš, Svátková, Alena, Bednařík, Petr, Vojtíšek, Lubomír, Horáková, Magda, Nestrašil, Igor, Lenglet, Christophe, Cohen-Adad, Julien, Bednařík, Josef, Hluštík, Petr
Format: Article
Language:English
Subjects:
Adult
Biomedical Engineering
Case-Control Studies
Cervical Vertebrae - pathology
Cluster Analysis
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Female
Humans
Male
Middle Aged
Reproducibility of Results
Sensitivity and Specificity
Signal-To-Noise Ratio
Spinal Cord Compression - diagnostic imaging
Spinal Cord Compression - pathology
Spinal Cord Diseases - diagnostic imaging
Spinal Cord Diseases - pathology
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Summary:Diffusion magnetic resonance imaging (dMRI) proved promising in patients with non-myelopathic degenerative cervical cord compression (NMDCCC), i.e., without clinically manifested myelopathy. Aim of the study is to present a fast multi-shell HARDI-ZOOMit dMRI protocol and validate its usability to detect microstructural myelopathy in NMDCCC patients. In 7 young healthy volunteers, 13 age-comparable healthy controls, 18 patients with mild NMDCCC and 15 patients with severe NMDCCC, the protocol provided higher signal-to-noise ratio, enhanced visualization of white/gray matter structures in microstructural maps, improved dMRI metric reproducibility, preserved sensitivity (SE = 87.88%) and increased specificity (SP = 92.31%) of control-patient group differences when compared to DTI-RESOLVE protocol (SE = 87.88%, SP = 76.92%). Of the 56 tested microstructural parameters, HARDI-ZOOMit yielded significant patient-control differences in 19 parameters, whereas in DTI-RESOLVE data, differences were observed in 10 parameters, with mostly lower robustness. Novel marker the white-gray matter diffusivity gradient demonstrated the highest separation. HARDI-ZOOMit protocol detected larger number of crossing fibers (5-15% of voxels) with physiologically plausible orientations than DTI-RESOLVE protocol (0-8% of voxels). Crossings were detected in areas of dorsal horns and anterior white commissure. HARDI-ZOOMit protocol proved to be a sensitive and practical tool for clinical quantitative spinal cord imaging.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-70297-3