Baris Kanber

ORCID: 0000-0003-2443-8800
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About
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Research Areas
  • Multiple Sclerosis Research Studies
  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Cardiovascular Health and Disease Prevention
  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging
  • Systemic Lupus Erythematosus Research
  • Cerebrovascular and Carotid Artery Diseases
  • Ultrasound Imaging and Elastography
  • Epilepsy research and treatment
  • Medical Image Segmentation Techniques
  • Acute Ischemic Stroke Management
  • Long-Term Effects of COVID-19
  • Peripheral Neuropathies and Disorders
  • Olfactory and Sensory Function Studies
  • Brain Tumor Detection and Classification
  • RNA regulation and disease
  • Machine Learning in Healthcare
  • Mycobacterium research and diagnosis
  • Bone and Joint Diseases
  • Prostate Cancer Diagnosis and Treatment
  • Rheumatoid Arthritis Research and Therapies
  • AI in cancer detection
  • Neuroscience and Neuropharmacology Research

University College London
2016-2025

National Hospital for Neurology and Neurosurgery
2016-2025

Multiple Sclerosis Society
2025

Queen Mary University of London
2021-2025

National Institute for Health Research
2019-2023

University College London Hospitals NHS Foundation Trust
2021-2022

University of Siena
2022

Epilepsy Society
2019-2021

Epilepsy Research UK
2021

National Health Service
2020

OBJECTIVE. The purposes of this study were to determine whether the pretreatment apparent diffusion coefficients (ADCs) hepatic metastatic lesions from colorectal cancer are predictive response chemotherapy and compare ADCs before after chemotherapy.

10.2214/ajr.06.0601 article EN American Journal of Roentgenology 2007-03-21

Relapsing-remitting multiple sclerosis (RRMS), aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4-NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) may have overlapping clinical features. There is an unmet need for imaging markers that differentiate between them when serologic testing unavailable or ambiguous. We assessed whether characteristics typical of MS discriminate RRMS from AQP4-NMOSD MOGAD, alone in combination.

10.1212/wnl.0000000000201465 article EN cc-by Neurology 2022-10-03

Shear Wave Elastography (SWE) imaging is a novel ultrasound technique for quantifying tissue elasticity. Studies have demonstrated that SWE able to differentiate between diseased and normal in wide range clinical applications. However its applicability atherosclerotic carotid disease has not been established. The aim of this study was assess the feasibility potential benefit using assessment plaques. Eighty-one patients (mean age 76 years, 51 male) underwent greyscale imaging. Elasticity...

10.1186/1476-7120-12-49 article EN cc-by Cardiovascular Ultrasound 2014-12-01

Olfactory impairments and anosmia from COVID-19 infection typically resolve within 2-4 weeks, although in some cases, symptoms persist longer. COVID-19-related is associated with olfactory bulb atrophy, however, the impact on cortical structures relatively unknown, particularly those long-term symptoms. In this exploratory, observational study, we studied individuals who experienced anosmia, or without recovered sense of smell, compared against no prior (confirmed by antibody testing, all...

10.1016/j.eclinm.2023.101883 article EN cc-by EClinicalMedicine 2023-03-02

The diagnosis of multiple sclerosis (MS) requires evidence both dissemination in space (DIS) and time (DIT); oligoclonal bands (OCBs) the CSF can substitute for DIT on MRI. We investigated whether (or positive CSF) is necessary to make a MS patients who fulfil high number DIS criteria. prospectively recruited with first demyelinating event evaluated brain spinal cord MRI within 3 months onset. were followed up clinically retrospectively applied criteria requiring lesions ≥2/4, ≥3/4, or 4/4...

10.1212/wnl.0000000000210274 article EN Neurology 2025-03-04

Multiple sclerosis lesions influence the process of image analysis, leading to tissue segmentation problems and biased morphometric estimates. Existing techniques try reduce this bias by filling all as normal-appearing white matter on T1-weighted images, considering each time-point separately. However, due lesion errors presence structures adjacent lesions, such ventricles deep grey nuclei, with matter-like intensities introduces artefacts. In paper, we present a novel strategy inspired...

10.1016/j.neuroimage.2016.06.053 article EN cc-by NeuroImage 2016-07-03

<b>Purpose:</b> There is a need to develop methods that reliably quantify characteristics associated with vulnerable carotid plaque. Greyscale median (GSM) and shear wave elastography (SWE) are two techniques may improve individual plaque risk stratification. SWE, which quantifies Young's Modulus (YM) estimate tissue stiffness, has been researched in the liver, breast, thyroid prostate, but its use plaques novel. <b>Materials Methods:</b> The aim of this study was YM GSM compare histology....

10.1055/s-0034-1399676 article EN Ultraschall in der Medizin - European Journal of Ultrasound 2015-06-19

Background: Multiple sclerosis (MS) affects both brain and spinal cord. However, studies of the neuraxis with advanced magnetic resonance imaging (MRI) are rare because long acquisition times. We investigated neurodegeneration in MS cervical cord using neurite orientation dispersion density (NODDI). Objective: The aim this study was to investigate possible alterations, their clinical relevance, morphology along relapsing–remitting (RRMS) patients. Methods: In total, 28 RRMS patients 20...

10.1177/1352458519885107 article EN Multiple Sclerosis Journal 2019-11-04

Abstract Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional multicentre structural MRI dataset 696 people with epilepsy 118 control subjects. We an innovative machine-learning algorithm, Subtype Stage Inference, to develop novel data-driven disease taxonomy, whereby subtypes correspond distinct patterns spatiotemporal progression brain atrophy.In discovery...

10.1093/brain/awad284 article EN cc-by Brain 2023-10-09

Many studies report an overlap of MRI and clinical findings between patients with relapsing-remitting multiple sclerosis (RRMS) secondary progressive (SPMS), which in part is reflective inclusion subjects variable disease duration short periods follow-up. To overcome these limitations, we examined the differences RRMS SPMS relationship measures outcomes 30 years after first presentation clinically isolated syndrome suggestive sclerosis. Sixty-three were studied their initial a syndrome; only...

10.1093/brain/awab033 article EN cc-by Brain 2021-02-10

Background In men suspected of having prostate cancer (PCa), up to 50% with positive multiparametric MRI (mpMRI) findings (Prostate Imaging Reporting and Data System [PI-RADS] or Likert score 3 higher) have no clinically significant (Gleason ≤3+3, benign) biopsy findings. Vascular, Extracellular, Restricted Diffusion for Cytometry in Tumor (VERDICT) analysis could improve the stratification mpMRI Purpose To evaluate VERDICT MRI, mpMRI-derived apparent diffusion coefficient (ADC),...

10.1148/radiol.212536 article EN Radiology 2022-08-02

Abstract Objective We investigated the effects of adding regions to current dissemination in space (DIS) criteria for multiple sclerosis (MS). Methods Participants underwent brain, optic nerve, and spinal cord MRI. Baseline DIS was assessed by 2017 McDonald versions including temporal lobe, or corpus callosum as a fifth region (requiring 2/5), version with all 3/7) nerve variations requiring 3/5 4/5 regions. Performance evaluated against MS diagnosis (2017 criteria) during follow‐up. Results...

10.1002/acn3.52170 article EN cc-by Annals of Clinical and Translational Neurology 2024-07-30

Objective To evaluate whether structural brain network metrics correlate better with clinical impairment and information processing speed in multiple sclerosis (MS) beyond atrophy measures white matter lesions. Methods This cross-sectional study included 51 healthy controls 122 patients comprising 58 relapsing–remitting, 28 primary progressive 36 secondary progressive. Structural networks were reconstructed from diffusion-weighted MRIs standard reflecting density, efficiency clustering...

10.1136/jnnp-2018-318440 article EN cc-by Journal of Neurology Neurosurgery & Psychiatry 2018-11-22

In early multiple sclerosis, a clearer understanding of normal-brain tissue microstructural and metabolic abnormalities will provide valuable insights into its pathophysiology. We used multi-parametric quantitative MRI to detect alterations in brain tissues patients with their first demyelinating episode. acquired neurite orientation dispersion density imaging [to investigate morphology neurites (dendrites axons)] 23Na (to estimate total sodium concentration, reflection underlying changes...

10.1093/brain/awab043 article EN cc-by Brain 2021-02-05

Abstract Cognitive impairment (CI) in multiple sclerosis (MS) is only partially explained by whole-brain volume measures, but independent component analysis (ICA) can extract regional patterns of damage grey matter (GM) or white (WM) that have proven more closely associated with CI. Pathology GM and WM occurs parallel, so span both. This study assessed whether joint-ICA features better cognitive function compared to single-tissue ICA. 89 people MS underwent testing magnetic resonance...

10.1007/s00415-024-12795-2 article EN cc-by Journal of Neurology 2025-01-15

Abstract Objective To assess the pathological mechanisms contributing to white matter (WM) lesion expansion or contraction and remyelination in multiple sclerosis (MS). Methods We assessed 1,613 lesions 49 people with relapsing–remitting MS CCMR‐One bexarotene trial (EudraCT 2014‐003145‐99). measured orientation relative WM tracts, surface‐in gradients veins. Jacobian deformation was used over 6 months, while magnetization transfer ratio (MTR) imaging remyelination. Results At baseline, 33%...

10.1002/acn3.52308 article EN cc-by Annals of Clinical and Translational Neurology 2025-01-27

Abstract Enhancing CNS myelin repair (remyelination) is a promising strategy to prevent neurodegeneration and associated progressive disability in multiple sclerosis (MS). Remyelination becomes inefficient with older chronological age, but the relationship between measures of biological age remyelination has not been previously described clinical cohort. Here we investigated two among participants Cambridge Centre for Myelin Repair (CCMR) One trial bexarotene: MRI brain (BAMRI) blood-based...

10.1093/braincomms/fcaf032 article EN cc-by Brain Communications 2025-01-29

Abstract Spinal cord injury causes a cascade of physiological responses, which may trigger subsequent neurotoxic increase in intracellular sodium. This can lead to neurodegeneration, both at and beyond the site injury, causing clinical symptoms loss function. However, vivo measurements tissue sodium remain challenging. Here we utilise magnetic resonance spectroscopy ( 23 Na-MRS) 3T measure concentration (TSC) its association with microstructural measures macromolecular MRI metrics cervical...

10.1038/s41598-025-91658-w article EN cc-by Scientific Reports 2025-02-27

Cerebral white matter pathology is a common CNS manifestation of Fabry disease, visualized as hyperintensities on MRI in 42-81% patients. Diffusion tensor imaging (DTI) sensitive technique to quantify microstructural damage within the with potential value disease biomarker. We evaluated pattern DTI abnormalities and their correlations cognitive impairment, mood, anxiety, severity plasma lyso-Gb3 levels 31 patients genetically proven 19 age-matched healthy control subjects. obtained average...

10.1093/brain/awaa282 article EN Brain 2020-08-12

Abstract Missed fractures are a costly healthcare issue, not only negatively impacting patient lives, leading to potential long-term disability and time off work, but also responsible for high medicolegal disbursements that could otherwise be used improve other services. When overlooked in children, they particularly concerning as opportunities safeguarding may missed. Assistance from artificial intelligence (AI) interpreting medical images offer possible solution improving care, several...

10.1093/bjro/tzad005 article EN cc-by BJR|Open 2023-12-12
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