AIM: To evaluate different promising magnetic resonance imaging (MRI) methods at 7.0 Tesla (T) for the pre-stereotactic visualization of the zona incerta (ZI). METHODS: Two neuroradiologists qualitatively and quantitatively examined T2-turbo spin-echo (T2-TSE), T1-weighted gradient-echo, as well as FLASH2D-T2Star and susceptibility-weighted imaging (SWI) for the visualization of the ZI at 7.0 T MRI. Delineation and image quality for the ZI were independently examined using a 6-scale grading system. Inter-rater reliability using Cohen's kappa coefficient (κ) were assessed. Contrast-to-noise ratios (CNR), and signal-to-noise ratios (SNR) for the ZI were calculated for all sequences. Differences in delineation, SNR, and CNR between the sequences were statistically assessed using a paired t-test. For the anatomic validation the coronal FLASH2D-T2Star images were co-registered with a stereotactic atlas (Schaltenbrand-Wahren). RESULTS: The rostral part of the ZI (rZI) could easily be identified and was best and reliably visualized in the coronal FLASH2D-T2Star images. The caudal part was not definable in any of the sequences. No major artifacts in the rZI were observed in any of the scans. FLASH2D-T2Star and SWI imaging offered significant higher CNR values for the rZI compared to T2-TSE images (P > 0.05). The co-registration of the coronal FLASH2D-T2Star images with the stereotactic atlas schema (Schaltenbrand-Wahren) confirmed the correct localization of the ZI in all cases. CONCLUSION: FLASH2D-T2Star imaging (particularly coronal view) provides the reliable and currently optimal visualization of the rZI at 7.0 T. These results can facilitate a better and more precise targeting of the caudal part of the ZI than ever before.
AIM: To evaluate different promising magnetic resonance imaging (MRI) methods at 7.0 Tesla (T) for the pre-stereotactic visualization of the zona incerta (ZI). METHODS: Two neuroradiologists qualitatively and quantitatively examined T2-turbo spin-echo (T2-TSE), T1-weighted gradient-echo, as well as FLASH2D-T2Star and susceptibility-weighted imaging (SWI) for the visualization of the ZI at 7.0 T MRI. Delineation and image quality for the ZI were independently examined using a 6-scale grading system. Inter-rater reliability using Cohen's kappa coefficient (κ) were assessed. Contrast-to-noise ratios (CNR), and signal-to-noise ratios (SNR) for the ZI were calculated for all sequences. Differences in delineation, SNR, and CNR between the sequences were statistically assessed using a paired t-test. For the anatomic validation the coronal FLASH2D-T2Star images were co-registered with a stereotactic atlas (Schaltenbrand-Wahren). RESULTS: The rostral part of the ZI (rZI) could easily be identified and was best and reliably visualized in the coronal FLASH2D-T2Star images. The caudal part was not definable in any of the sequences. No major artifacts in the rZI were observed in any of the scans. FLASH2D-T2Star and SWI imaging offered significant higher CNR values for the rZI compared to T2-TSE images (P > 0.05). The co-registration of the coronal FLASH2D-T2Star images with the stereotactic atlas schema (Schaltenbrand-Wahren) confirmed the correct localization of the ZI in all cases. CONCLUSION: FLASH2D-T2Star imaging (particularly coronal view) provides the reliable and currently optimal visualization of the rZI at 7.0 T. These results can facilitate a better and more precise targeting of the caudal part of the ZI than ever before.
Entities:
Keywords:
7 Tesla; Deep brain stimulation; Essential tremor; Magnetic resonance imaging; Parkinson’s disease; Zona incerta
Authors: T Z Aziz; D Nandi; S Parkin; X Liu; N Giladi; P Bain; R G Gregory; C Joint; R B Scott; J F Stein Journal: Stereotact Funct Neurosurg Date: 2001 Impact factor: 1.875
Authors: W Hamel; U Fietzek; A Morsnowski; B Schrader; J Herzog; D Weinert; G Pfister; D Müller; J Volkmann; G Deuschl; H M Mehdorn Journal: J Neurol Neurosurg Psychiatry Date: 2003-08 Impact factor: 10.154
Authors: Birte U Forstmann; Gilles de Hollander; Leendert van Maanen; Anneke Alkemade; Max C Keuken Journal: Nat Rev Neurosci Date: 2016-12-15 Impact factor: 34.870
Authors: Birgit R Plantinga; Yasin Temel; Alard Roebroeck; Kâmil Uludağ; Dimo Ivanov; Mark L Kuijf; Bart M Ter Haar Romenij Journal: Front Hum Neurosci Date: 2014-11-05 Impact factor: 3.169
Authors: Clemens Neudorfer; Faycal El Majdoub; Stefan Hunsche; Klaus Richter; Volker Sturm; Mohammad Maarouf Journal: Front Hum Neurosci Date: 2017-06-13 Impact factor: 3.169
Authors: Jonathan C Lau; Yiming Xiao; Roy A M Haast; Greydon Gilmore; Kâmil Uludağ; Keith W MacDougall; Ravi S Menon; Andrew G Parrent; Terry M Peters; Ali R Khan Journal: Hum Brain Mapp Date: 2020-07-17 Impact factor: 5.038