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3.
Concussion ; 7(1): CNC96, 2022 Mar.
Article in English | MEDLINE | ID: mdl-36262480

ABSTRACT

Aim: Recent studies found patients with chronic, mild or moderate traumatic brain injury had more regions of enlargement than atrophy. There is little research discussing brain volume enlargement, asymmetry and TBI. Materials & methods: In this report, we describe a 40-year-old man who suffered a left cerebral hemorrhage resulting in a moderate TBI, suggesting greater forces on the left side of his brain. NeuroQuant® brain volumetric analyses of his MRI obtained 1.7 years post injury showed left cerebral white matter atrophy but right gray matter abnormal enlargement. Abnormal asymmetry of multiple regions (R >L) was confirmed by NeuroGage® asymmetry analyses. Discussion: The findings suggested that abnormal brain volume enlargement was due to hyperactivity and hypertrophy of less-injured brain regions as a compensatory response to more-injured regions.

4.
Front Hum Neurosci ; 16: 715807, 2022.
Article in English | MEDLINE | ID: mdl-35463926

ABSTRACT

Over 40 years of research have shown that traumatic brain injury affects brain volume. However, technical and practical limitations made it difficult to detect brain volume abnormalities in patients suffering from chronic effects of mild or moderate traumatic brain injury. This situation improved in 2006 with the FDA clearance of NeuroQuant®, a commercially available, computer-automated software program for measuring MRI brain volume in human subjects. More recent strides were made with the introduction of NeuroGage®, commercially available software that is based on NeuroQuant® and extends its utility in several ways. Studies using these and similar methods have found that most patients with chronic mild or moderate traumatic brain injury have brain volume abnormalities, and several of these studies found-surprisingly-more abnormal enlargement than atrophy. More generally, 102 peer-reviewed studies have supported the reliability and validity of NeuroQuant® and NeuroGage®. Furthermore, this updated version of a previous review addresses whether NeuroQuant® and NeuroGage® meet the Daubert standard for admissibility in court. It concludes that NeuroQuant® and NeuroGage® meet the Daubert standard based on their reliability, validity, and objectivity. Due to the improvements in technology over the years, these brain volumetric techniques are practical and readily available for clinical or forensic use, and thus they are important tools for detecting signs of brain injury.

5.
Waste Manag Res ; 40(4): 371-373, 2022 Apr.
Article in English | MEDLINE | ID: mdl-35266416
6.
Concussion ; 8(1): CNC101, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36874877

ABSTRACT

Aim: Patients with chronic mild or moderate traumatic brain injury have some regions of brain atrophy (including cerebral white matter) but even more regions of abnormal brain enlargement (including other cerebral regions). Hypothesis: Ipsilateral injury and atrophy cause the eventual development of contralateral compensatory hypertrophy. Materials & methods: 50 patients with mild or moderate traumatic brain injury were compared to 80 normal controls (n = 80) with respect to MRI brain volume asymmetry. Asymmetry-based correlations were used to test the primary hypothesis. Results: The group of patients had multiple regions of abnormal asymmetry. Conclusion: The correlational analyses supported the conclusion that acute injury to ipsilateral cerebral white matter regions caused atrophy, leading eventually to abnormal enlargement of contralateral regions due to compensatory hypertrophy.

7.
Waste Manag Res ; 39(4): 525-527, 2021 04.
Article in English | MEDLINE | ID: mdl-33686911
8.
Waste Manag Res ; 38(12): 1303-1305, 2020 12.
Article in English | MEDLINE | ID: mdl-33295266

Subject(s)
Politics
9.
Brain Inj ; 34(1): 11-19, 2020.
Article in English | MEDLINE | ID: mdl-31553632

ABSTRACT

Introduction: Much less is known about brain volume abnormalities in patients with chronic mild or moderate traumatic brain injury (TBI) compared with patients with more severe injury. Commercially available software methods including NeuroQuant® are being used increasingly to assess MRI brain volume in patients with TBI.Methods: 50 patients with mild or moderate TBI were compared to the NeuroQuant® normal control database (n = thousands) with respect to MRI brain volume.Results: The patients had many areas of abnormal enlargement and fewer areas of atrophy, including abnormally small cerebral white matter (CWM) limited to the first 10 months after injury. Examination of correlations within the patient group between CWM volume and volumes of the abnormally enlarged regions showed multiple significant negative correlations, indicating that CWM atrophy correlated with enlargement of the other regions.Discussion: The finding of many regions of abnormal brain enlargement was relatively new, although a couple of previous studies of patients with mild TBI found similar but more limited findings. The cause of the abnormal enlargement was unknown, but possibilities included: (1) hyperactivity and hypertrophy; or (2) chronic neuro-inflammation and edema.Abbreviations: ADNI: Alzheimer's Disease Neuroimaging Initiative; CWM: cerebral white matter; GM: cerebral cortical gray matter; ICC: intraclass correlations coefficient; IFT: infratentorial; MRI: magnetic resonance imaging; mTBI: mild TBI; NQ: NeuroQuant®; SCN: subcortical nuclei; t0: time of injury; t1: time of first NeuroQuanted MRI scan after injury; t2: time of second NeuroQuanted MRI scan after injury; TBI: traumatic brain injury; VBR: ventricle-to-brain ratio; WBP: whole-brain parenchyma.


Subject(s)
Brain Injuries, Traumatic , Brain Injuries , Brain/diagnostic imaging , Brain Injuries, Traumatic/complications , Brain Injuries, Traumatic/diagnostic imaging , Humans , Hypertrophy , Magnetic Resonance Imaging
10.
Waste Manag Res ; 38(1): 1-3, 2020 01.
Article in English | MEDLINE | ID: mdl-31849268
12.
Brain Inj ; 32(11): 1437-1441, 2018.
Article in English | MEDLINE | ID: mdl-29953249

ABSTRACT

This report describes the case of a 58-year-old man with moderate traumatic brain injury (TBI) and pre-accident brain disorders who had multiple persistent neuropsychiatric symptoms. NeuroQuant® 2.0 and NeuroGage® 2.0 MRI brain volume analyses were used during the chronic stage of injury (> 1 year after injury) to help understand the effects of the TBI on his brain volume. NeuroQuant® showed widespread cross-sectional atrophy, especially in the frontal and temporal lobes, consistent with encephalomalacia seen on the MRIs. Several of his clinical symptoms were consistent with the volume abnormalities. NeuroGage® longitudinal analyses of volume change from the time 1 to time 2 magnetic resonance imaging showed abnormally rapid atrophy and ventricular enlargement. The high rates of volume change were much more consistent with the relatively recent effects of TBI than with effects of the much more chronic pre-accident brain disorders.


Subject(s)
Brain Injuries, Traumatic/diagnostic imaging , Brain/diagnostic imaging , Image Processing, Computer-Assisted/instrumentation , Image Processing, Computer-Assisted/methods , Software , Humans , Magnetic Resonance Imaging , Male , Middle Aged
13.
Psychiatry Res Neuroimaging ; 278: 69-76, 2018 08 30.
Article in English | MEDLINE | ID: mdl-29880256

ABSTRACT

NeuroQuant® (NQ) and FreeSurfer (FS) are commonly used computer-automated programs for measuring MRI brain volume. Previously they were reported to have high intermethod reliabilities but often large intermethod effect size differences. We hypothesized that linear transformations could be used to reduce the large effect sizes. This study was an extension of our previously reported study. We performed NQ and FS brain volume measurements on 60 subjects (including normal controls, patients with traumatic brain injury, and patients with Alzheimer's disease). We used two statistical approaches in parallel to develop methods for transforming FS volumes into NQ volumes: traditional linear regression, and Bayesian linear regression. For both methods, we used regression analyses to develop linear transformations of the FS volumes to make them more similar to the NQ volumes. The FS-to-NQ transformations based on traditional linear regression resulted in effect sizes which were small to moderate. The transformations based on Bayesian linear regression resulted in all effect sizes being trivially small. To our knowledge, this is the first report describing a method for transforming FS to NQ data so as to achieve high reliability and low effect size differences. Machine learning methods like Bayesian regression may be more useful than traditional methods.


Subject(s)
Brain/diagnostic imaging , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging/methods , Aged , Alzheimer Disease/diagnostic imaging , Alzheimer Disease/pathology , Bayes Theorem , Brain/anatomy & histology , Female , Humans , Knowledge , Machine Learning , Male , Middle Aged , Reproducibility of Results
14.
Waste Manag Res ; 36(5): 405-407, 2018 05.
Article in English | MEDLINE | ID: mdl-29732962
15.
Waste Manag Res ; 35(9): 901-903, 2017 09.
Article in English | MEDLINE | ID: mdl-28795925
17.
Waste Manag Res ; 34(3): 181-3, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26842852
18.
J Neuropsychiatry Clin Neurosci ; 27(2): 147-52, 2015.
Article in English | MEDLINE | ID: mdl-25923853

ABSTRACT

This study is an expanded version of an earlier study, which compared NeuroQuant measures of MRI brain volume with the radiologist's traditional approach in outpatients with mild or moderate traumatic brain injury. NeuroQuant volumetric analyses were compared with the radiologists' interpretations. NeuroQuant found significantly higher rates of atrophy (50.0%), abnormal asymmetry (83.3%), and progressive atrophy (70.0%) than the radiologists (12.5%, 0% and 0%, respectively). Overall, NeuroQuant was more sensitive for detecting at least one sign of atrophy, abnormal asymmetry, or progressive atrophy (95.8%) than the traditional radiologist's approach (12.5%).


Subject(s)
Brain Injuries/complications , Brain Injuries/diagnosis , Brain/pathology , Image Interpretation, Computer-Assisted , Magnetic Resonance Imaging , Adult , Aged , Atrophy/etiology , Disease Progression , Female , Functional Laterality , Humans , Male , Middle Aged , Psychiatric Status Rating Scales , Young Adult
19.
J Neuroimaging ; 25(5): 721-7, 2015.
Article in English | MEDLINE | ID: mdl-25727700

ABSTRACT

PURPOSE: To examine intermethod reliabilities and differences between FreeSurfer and the FDA-cleared congener, NeuroQuant, both fully automated methods for structural brain MRI measurements. MATERIALS AND METHODS: MRI scans from 20 normal control subjects, 20 Alzheimer's disease patients, and 20 mild traumatically brain-injured patients were analyzed with NeuroQuant and with FreeSurfer. Intermethod reliability was evaluated. RESULTS: Pairwise correlation coefficients, intraclass correlation coefficients, and effect size differences were computed. NeuroQuant versus FreeSurfer measures showed excellent to good intermethod reliability for the 21 regions evaluated (r: .63 to .99/ICC: .62 to .99/ES: -.33 to 2.08) except for the pallidum (r/ICC/ES = .31/.29/-2.2) and cerebellar white matter (r/ICC/ES = .31/.31/.08). Volumes reported by NeuroQuant were generally larger than those reported by FreeSurfer with the whole brain parenchyma volume reported by NeuroQuant 6.50% larger than the volume reported by FreeSurfer. There was no systematic difference in results between the 3 subgroups. CONCLUSION: NeuroQuant and FreeSurfer showed good to excellent intermethod reliability in volumetric measurements for all brain regions examined with the only exceptions being the pallidum and cerebellar white matter. This finding was robust for normal individuals, patients with Alzheimer's disease, and patients with mild traumatic brain injury.


Subject(s)
Alzheimer Disease/pathology , Brain/pathology , Imaging, Three-Dimensional/methods , Magnetic Resonance Imaging/methods , Pattern Recognition, Automated/methods , Software , Aged , Algorithms , Female , Humans , Image Enhancement/methods , Image Interpretation, Computer-Assisted/methods , Male , Organ Size , Reproducibility of Results , Sensitivity and Specificity
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