scholarly journals Detection of Glioblastoma Subclinical Recurrence Using Serial Diffusion Tensor Imaging

Cancers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 568 ◽  
Author(s):  
Yan Jin ◽  
James W. Randall ◽  
Hesham Elhalawani ◽  
Karine A. Al Feghali ◽  
Andrew M. Elliott ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Group Analysis ◽  
Diffusion Maps ◽  
Mr Images ◽  
Neurite Density ◽  
Intracranial Recurrence ◽  
Diffusion Tensor Imaging Dti ◽  
Time Point

Glioblastoma is an aggressive brain tumor with a propensity for intracranial recurrence. We hypothesized that tumors can be visualized with diffusion tensor imaging (DTI) before they are detected on anatomical magnetic resonance (MR) images. We retrospectively analyzed serial MR images from 30 patients, including the DTI and T1-weighted images at recurrence, at 2 months and 4 months before recurrence, and at 1 month after radiation therapy. The diffusion maps and T1 images were deformably registered longitudinally. The recurrent tumor was manually segmented on the T1-weighted image and then applied to the diffusion maps at each time point to collect mean FA, diffusivities, and neurite density index (NDI) values, respectively. Group analysis of variance showed significant changes in FA (p = 0.01) and NDI (p = 0.0015) over time. Pairwise t tests also revealed that FA and NDI at 2 months before recurrence were 11.2% and 6.4% lower than those at 1 month after radiation therapy (p < 0.05), respectively. Changes in FA and NDI were observed 2 months before recurrence, suggesting that progressive microstructural changes and neurite density loss may be detectable before tumor detection in anatomical MR images. FA and NDI may serve as non-contrast MR-based biomarkers for detecting subclinical tumors.

scholarly journals White Matter Tract Neuroimaging and Serum Biomarker Analysis in Sports-related Concussion

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Michael J. McGill ◽  
Qiuting Wen ◽  
Ho-Ching Yang ◽  
Salman Shahid ◽  
Yu-Chien Wu
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Serum Biomarkers ◽  
Post Injury ◽  
Biomarker Analysis ◽  
The Relationship ◽  
Insight Into ◽  
Diffusion Tensor Imaging Dti ◽  
Time Point

Background:  Traumatic brain injury (TBI) is a leading cause of death and disability throughout the world, estimated to carry an annual global incidence of over 27 million cases. Mild TBI (mTBI), commonly known as concussion, is the mildest form of TBI and accounts for roughly 90% of all head injuries. Sports-related concussion (SRC) contributes significantly to this statistic with millions of athletes sustaining high-impact injuries in contact sports such as football, soccer, and lacrosse. By examining the white-matter microstructure, diffusion tensor imaging (DTI) has shown excellent capabilities for detecting pathophysiologic changes after SRC and monitoring symptom progression. Biomarkers including neurofilament light (NfL) and tau have been implicated in SRC and may provide insight into the duration of post-concussive symptoms. At this time, very few studies have been published evaluating the relationship between these serum biomarkers and alterations to DTI metrics.     Methods:  In the present study, we examined the association between serum biomarkers NfL and tau to further understand the relationship between these biomarkers and neuroimaging findings seen with diffusion tensor imaging (DTI) after exposure to a sports-related concussive event.     Results:  Serum tau levels decreased significantly at the 24-48h post-injury time point compared to 6h post-injury. Serum tau levels then elevated significantly at the asymptomatic time point in comparison to the 24-48h post-injury time point. The serum tau level was significantly associated with higher mean diffusivity (MD) in the white-matter tracts. Serum NfL had minimal associations with white matter diffusion metrics.     Conclusion and Potential Impact:  This research serves to better inform future investigations into the relationship between DTI metrics and serum biomarkers in the context of mTBI and SRC. This information may contribute to the development of a simple bedside serum analysis with potential to offer tremendous insight into the comprehensive brain health of patients who are being evaluated for SRC, thereby streamlining the therapeutic process and providing more accessible healthcare to patients in locations where advanced imaging techniques are not readily accessible.  

Intraspinal Tumors: The Value of Diffusion Tensor Imaging (DTI) and Tractography: A Preliminary Study

2018 ◽  
Author(s):  
F. Cartes-Zumelzu ◽  
S. Ingorokva ◽  
H. Kostron ◽  
G. Feuchtner ◽  
C. Kremser ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Preliminary Study ◽  
Diffusion Tensor Imaging Dti

scholarly journals The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)

NeuroImage ◽  
2016 ◽  
Vol 124 ◽  
pp. 1125-1130 ◽  
Author(s):  
Lindsay Walker ◽  
Lin-Ching Chang ◽  
Amritha Nayak ◽  
M. Okan Irfanoglu ◽  
Kelly N. Botteron ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Development ◽  
Diffusion Tensor ◽  
Normal Brain ◽  
Mri Study ◽  
Normal Brain Development ◽  
Diffusion Tensor Imaging Dti

scholarly journals Disruption of neurite morphology parallels MS progression

2018 ◽  
Vol 5 (6) ◽  
pp. e502 ◽  
Author(s):  
Barbara Spanò ◽  
Giovanni Giulietti ◽  
Valerio Pisani ◽  
Manuela Morreale ◽  
Elisa Tuzzi ◽  
...  
Keyword(s):  
Brain Tissue ◽  
Disease Severity ◽  
Diffusion Mri ◽  
Diffusion Tensor ◽  
Compartment Model ◽  
Dispersion Index ◽  
Brain Areas ◽  
Neurite Density ◽  
Relapsing Remitting ◽  
Diffusion Tensor Imaging Dti

ObjectivesTo apply advanced diffusion MRI methods to the study of normal-appearing brain tissue in MS and examine their correlation with measures of clinical disability.MethodsA multi-compartment model of diffusion MRI called neurite orientation dispersion and density imaging (NODDI) was used to study 20 patients with relapsing-remitting MS (RRMS), 15 with secondary progressive MS (SPMS), and 20 healthy controls. Maps of NODDI were analyzed voxel-wise to assess the presence of abnormalities within the normal-appearing brain tissue and the association with disease severity. Standard diffusion tensor imaging (DTI) parameters were also computed for comparing the 2 techniques.ResultsPatients with MS showed reduced neurite density index (NDI) and increased orientation dispersion index (ODI) compared with controls in several brain areas (p < 0.05), with patients with SPMS having more widespread abnormalities. DTI indices were also sensitive to some changes. In addition, patients with SPMS showed reduced ODI in the thalamus and caudate nucleus. These abnormalities were associated with scores of disease severity (p < 0.05). The association with the MS functional composite score was higher in patients with SPMS compared with patients with RRMS.ConclusionsNODDI and DTI findings are largely overlapping. Nevertheless, NODDI helps interpret previous findings of increased anisotropy in the thalamus of patients with MS and are consistent with the degeneration of selective axon populations.

Are the DTI results positive evidence for George Bernard Shaw's view?

2004 ◽  
Vol 27 (6) ◽  
pp. 866-866
Author(s):  
Rolf Verleger ◽  
Rebekka Lencer
Keyword(s):  
Diffusion Tensor Imaging ◽  
Eye Movement ◽  
Social Life ◽  
Diffusion Tensor ◽  
Positive Evidence ◽  
Central Piece ◽  
Integrate Research ◽  
Diffusion Tensor Imaging Dti ◽  
Human Social Life

We discuss how Burns' conception may be further extended to integrate research on eye movement abnormalities, but then point to a contradiction between Burns' conception of schizophrenia as the genetic price for human social life and the diffusion tensor imaging (DTI) data, which constitute his central piece of evidence.

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