Diffusion tensor imaging in anisotropic tissues: application of reduced gradient vector schemes in peripheral nerves

Autor: Olivia Foesleitner, Alba Sulaj, Volker Sturm, Moritz Kronlage, Fabian Preisner, Zoltan Kender, Martin Bendszus, Julia Szendroedi, Sabine Heiland, Daniel Schwarz
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: European Radiology Experimental, Vol 8, Iss 1, Pp 1-10 (2024)
Druh dokumentu: article
ISSN: 2509-9280
DOI: 10.1186/s41747-024-00444-2
Popis: Abstract Background In contrast to the brain, fibers within peripheral nerves have distinct monodirectional structure questioning the necessity of complex multidirectional gradient vector schemes for DTI. This proof-of-concept study investigated the diagnostic utility of reduced gradient vector schemes in peripheral nerve DTI. Methods Three-Tesla magnetic resonance neurography of the tibial nerve using 20-vector DTI (DTI20) was performed in 10 healthy volunteers, 12 patients with type 2 diabetes, and 12 age-matched healthy controls. From the full DTI20 dataset, three reduced datasets including only two or three vectors along the x- and/or y- and z-axes were built to calculate major parameters. The influence of nerve angulation and intraneural connective tissue was assessed. The area under the receiver operating characteristics curve (ROC-AUC) was used for analysis. Results Simplified datasets achieved excellent diagnostic accuracy equal to DTI20 (ROC-AUC 0.847–0.868, p ≤ 0.005), but compared to DTI20, the reduced models yielded mostly lower absolute values of DTI scalars: median fractional anisotropy (FA) ≤ 0.12; apparent diffusion coefficient (ADC) ≤ 0.25; axial diffusivity ≤ 0.96, radial diffusivity ≤ 0.07). The precision of FA and ADC with the three-vector model was closest to DTI20. Intraneural connective tissue was negatively correlated with FA and ADC (r ≥ -0.49, p
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