A5042075229- Advanced Neuroimaging Techniques and Applications
- Multiple Sclerosis Research Studies
- Bone and Joint Diseases
- MRI in cancer diagnosis
- Cervical and Thoracic Myelopathy
- Glioma Diagnosis and Treatment
- Spine and Intervertebral Disc Pathology
- Advanced MRI Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- Systemic Lupus Erythematosus Research
- Neonatal and fetal brain pathology
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Pelvic and Acetabular Injuries
- Cerebrospinal fluid and hydrocephalus
- Spinal Fractures and Fixation Techniques
- Cerebral Venous Sinus Thrombosis
- Cardiovascular Disease and Adiposity
- Traumatic Brain Injury and Neurovascular Disturbances
- Regulation of Appetite and Obesity
- Spinal Cord Injury Research
- Blood transfusion and management
- Sexual function and dysfunction studies
- Advanced Radiotherapy Techniques
- Glaucoma and retinal disorders
Boston Children's Hospital
2025
Harvard University
2025
Third Affiliated Hospital of Sun Yat-sen University
2025
Sun Yat-sen University
2025
Philips (China)
2025
Washington University in St. Louis
2015-2024
The University of Texas MD Anderson Cancer Center
2022-2024
Mallinckrodt (United States)
2011-2023
Neurological Surgery
2023
University of Calgary
2021
Multiple sclerosis is characterized by inflammatory demyelination and irreversible axonal injury leading to permanent neurological disabilities. Diffusion tensor imaging demonstrates an improved capability over standard magnetic resonance differentiate axon from myelin pathologies. However, the increased cellularity vasogenic oedema associated with inflammation cannot be detected or separated axon/myelin diffusion imaging, limiting its clinical applications. A novel basis spectrum capable of...
Axon injury/loss, demyelination and inflammation are the primary pathologies in multiple sclerosis lesions. Despite prevailing notion that axon/neuron loss is substrate of clinical progression sclerosis, roles these individual pathological processes play remain to be defined. An imaging modality capable effectively detect, differentiate individually quantify axon inflammation, would not only facilitate understanding pathophysiology underlying progression, but also assessment treatments at...
Clinicopathological paradox has hampered significantly the effective assessment of efficacy therapeutic intervention for multiple sclerosis. Neuroimaging biomarkers tissue injury could guide more treatment by accurately reflecting underlying subclinical pathologies. Diffusion tensor imaging‐derived directional diffusivity and anisotropy indices have been applied to characterize white matter disorders. However, these are sometimes confounded complex pathologies seen in sclerosis its animal...
Human obesity is associated with low-grade chronic systemic inflammation, alterations in brain structure and function, cognitive impairment. Rodent models of show that high-calorie diets cause inflammation (neuroinflammation) multiple regions, including the hippocampus, impairments hippocampal-dependent memory tasks. To determine if similar effects exist humans obesity, we applied Diffusion Basis Spectrum Imaging (DBSI) to evaluate neuroinflammation axonal integrity. We examined...
Abstract Objective Multiple sclerosis (MS) lesions are heterogeneous with regard to inflammation, demyelination, axonal injury, and neuronal loss. We previously developed a diffusion basis spectrum imaging (DBSI) technique better address MS lesion heterogeneity. hypothesized that the profiles of multiple DBSI metrics can identify lesion‐defining patterns. Here we test this hypothesis by combining deep learning algorithm using neural network (DNN) other methods. Methods Thirty‐eight patients...
BACKGROUND AND OBJECTIVES: Advanced diffusion-weighted MRI (DWI) modeling, such as diffusion tensor imaging (DTI) and basis spectrum (DBSI), may help guide rehabilitation strategies after surgical decompression for cervical spondylotic myelopathy (CSM). Currently, however, postoperative DWI is difficult to interpret, owing signal distortions from spinal instrumentation. Therefore, we examined the relationship between DTI/DBSI—extracted rostral C3 level—and clinical outcome measures at 2-year...
Radical endoscopic thyroidectomy (ET) offers superior cosmetic outcomes and enhanced visibility of the surgical field compared to open surgery. However, thyroid's unique physiological functions intricate surrounding anatomy may result in various complications. Mixed reality (MR), a real-time holographic visualization technology, enables creation highly realistic 3D models real world facilitates multiple human-computer interactions. MR can be utilized for both preoperative evaluation...
Lung adenocarcinoma (LUAD) is the leading cause of cancer-related deaths. High-resolution computed tomography (HRCT) has improved detection ground glass nodules (GGNs), which are early indicators lung cancer. Accurate assessment GGN invasiveness crucial for determining appropriate surgical approach. Dual-layer spectral detector (DLCT) offers advanced imaging capabilities, including electron density and iodine density, enhance evaluation invasiveness. This study aims to develop a machine...
To investigate the pathologic differences in patients with pediatric-onset multiple sclerosis (POMS) and acute disseminated encephalomyelitis (ADEM) using diffusion tensor imaging (DTI) basis spectrum (DBSI). Fifteen children POMS eight ADEM underwent DTI DBSI. The comparison of DBSI diffusivity measures (31 scans) (17 was performed as group association over time. In univariate analysis average time, fractional anisotropy is lower than (P = 0.002), indicative axonal injury POMS. Higher fiber...
Magnetic resonance imaging markers have been widely used to detect and quantify white matter pathologies in multiple sclerosis. We recently developed a diffusion basis spectrum (DBSI) distinguish co-existing axonal injury, demyelination, inflammation sclerosis patients animal models. It could serve as longitudinal marker for loss, primary cause of permanent neurological impairments disease progression. Eight 10-week-old female C57BL/6 mice underwent optic nerve DBSI, followed by week-long...
Glioblastoma multiforme (GBM) has been considered the most aggressive glioma type.Temozolomide (TMZ) is main first-line chemotherapeutic agent for GBM.Decreased mutS homolog 6 (MSH6) expression clinically recognized as one of principal reasons GBM resistance to TMZ.However, specific functions MSH6 in GBM, addition its role mismatch repair, remain unknown.Methods: Bioinformatics were employed analyze mRNA and protein levels clinical samples predict potential cancer-promoting mechanisms...
The aim of this study was to determine the feasibility diffusion basis spectrum imaging in multiple sclerosis at 7 T and investigate pathological substrates tissue damage lesions normal-appearing white matter. To end, 43 patients with (24 relapsing-remitting, 19 progressive), 21 healthy control subjects were enrolled. White matter classified T1-isointense, T1-hypointense black holes. Mean values metrics (fibres, restricted non-restricted fractions, axial radial diffusivities fractional...
Abstract Neuroinflammation is both a consequence and driver of overfeeding weight gain in rodent obesity models. Advances magnetic resonance imaging (MRI) enable investigations brain microstructure that suggests neuroinflammation human obesity. To assess the convergent validity across MRI techniques extend previous findings, we used diffusion basis spectrum (DBSI) to characterize obesity-associated alterations 601 children (age 9–11 years) from Adolescent Brain Cognitive DevelopmentSM Study....
Promising treatments are being developed to promote functional recovery after spinal cord injury (SCI). Magnetic resonance imaging, specifically Diffusion Tensor Imaging (DTI) has been shown non-invasively measure both axonal and myelin integrity following traumatic brain SCI. A novel data-driven model-selection algorithm known as Basis Spectrum (DBSI) proposed more accurately delineate white matter injury. The objective of this study was investigate whether DTI/DBSI changes that extend...
A prospective cohort study.In this study, we employed diffusion basis spectrum imaging (DBSI) to quantitatively assess axon/myelin injury, cellular inflammation, and axonal loss of cervical spondylotic myelopathy (CSM) spinal cords.A major shortcoming in the management CSM is lack an effective diagnostic approach stratify treatments predict outcomes. No current clinical capable accurately reflecting underlying cord pathologies.Seven patients with mild (mJOA ≥15), five moderate (14≥mJOA ≥11),...
Inflammation occurs after HIV infection and persists, despite highly active antiretroviral therapy (HAART). Diffusion tensor imaging (DTI) measures HIV-associated white matter changes, but can be confounded by inflammation. Currently, the influence of inflammation on integrity in well-controlled HIV+ patients remains unknown. We used diffusion basis spectral (DBSI)-derived cellularity to isolate restricted water associated with separated from anisotropic axonal integrity. Ninety-two...
<h3>Objective</h3> To use diffusion basis spectrum imaging (DBSI) to assess how damage normal-appearing white matter (NAWM) in the corpus callosum (CC) influences neurologic impairment people with MS (pwMS). <h3>Methods</h3> Using standard MRI, primary pathologies of axonal injury/loss, demyelination, and inflammation are not differentiated well. DBSI has been shown animal models, phantoms, biopsied autopsied human CNS tissues distinguish these pathologies. Fifty-five pwMS (22...
Abstract Purpose: Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has been widely adopted to examine GBM clinically, accurate neuroimaging assessment tumor histopathology for improved diagnosis, surgical planning, and treatment evaluation remains an unmet need in clinical management GBMs. Experimental Design: We employ a novel diffusion histology imaging (DHI) approach, combining basis spectrum (DBSI) machine learning, detect, differentiate, quantify...
Purpose.: Diffusion tensor imaging (DTI) measures the random motion of water molecules reflecting central nervous system tissue integrity and pathology. Glaucoma damages retinal ganglion cells (RGCs) their axons. The authors hypothesized that DTI-derived axonal myelin injury biomarkers may be used to detect early damage correlated with RGC loss in mouse model optic nerve crush (ONC). Methods.: progression axon degeneration was quantitatively assessed DTI vivo, corroborated axon/myelin...
Hippocampal CA1 inflammation and dendritic loss are common in epilepsy. Quantitative detection of coexisting brain injury could be beneficial monitoring disease progression assessing therapeutic efficacy. In this work, we used conventional diffusion tensor imaging (DTI, known to detect axonal demyelination) a novel basis spectrum (DBSI, injury, demyelination, inflammation) hippocampal lesions resulting from neuronal injury/loss concomitant Theiler's murine encephalomyelitis virus...
Abstract Diffusion basis spectrum imaging (DBSI) combines discrete anisotropic diffusion tensors and the of isotropic to model underlying multiple sclerosis (MS) pathologies. We used clinical MS subtypes as a surrogate pathologies assess DBSI biomarker pathology in 55 individuals with MS. Restricted fraction (reflecting cellularity) fiber (representing apparent axonal density) were most important metrics classify using brain white matter lesions. These outperformed lesion volume. When...
Advanced magnetic resonance imaging (MRI) methods can provide more specific information about various microstructural tissue changes in multiple sclerosis (MS) brain. Quantitative measurement of T1 and T2 relaxation, diffusion basis spectrum (DBSI) yield metrics related to the pathology neuroinflammation neurodegeneration that occurs across MS.To use relaxation DBSI MRI describe measures neuroinflammation, myelin axons different MS subtypes.103 participants (20 clinically isolated syndrome...
Abstract Background Misregistration between CT and PET data can result in mis‐localization inaccurate quantification of functional uptake whole body PET/CT imaging. This problem is exacerbated when an abnormal inspiration occurs during the free‐breathing helical (FB CT) used for attenuation correction data. In data‐driven gated (DDG) PET, selected reconstruction typically derived from end‐expiration (EE) phase breathing cycle, making this potential issue worse. Purpose The objective study to...