Three‐dimensional ultrasonography for advanced neurosonography (neurosofe‐3D): Validation of a brain volume acquisition guideline

2020 ◽  
Vol 100 (1) ◽  
pp. 84-90
Author(s):  
Nerea Maiz ◽  
Mauricio Tajada ◽  
María Á. Rodríguez ◽  
Ana Irasarri ◽  
Francisca S. Molina ◽  
...  
Keyword(s):  
Brain Volume ◽  
Three Dimensional ◽  
Volume Acquisition

scholarly journals Quantitative analysis of normal fetal brain volume and flow by three-dimensional power Doppler ultrasound

2013 ◽  
Vol 76 (9) ◽  
pp. 504-509 ◽  
Author(s):  
Ju-Chun Hsu ◽  
Yi-Cheng Wu ◽  
Peng-Hui Wang ◽  
Hsing-I Wang ◽  
Chi-Mou Juang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Doppler Ultrasound ◽  
Brain Volume ◽  
Power Doppler ◽  
Three Dimensional ◽  
Fetal Brain ◽  
Power Doppler Ultrasound

Evaluation of Two Methods of Three-dimensional Fetal Volume Acquisition

2006 ◽  
Vol 107 (Supplement) ◽  
pp. 48S
Author(s):  
Bradford W. Fenton
Keyword(s):  
Three Dimensional ◽  
Volume Acquisition

scholarly journals Three-dimensional sonographic measurement of normal fetal brain volume during the second half of pregnancy

2004 ◽  
Vol 190 (1) ◽  
pp. 275-280 ◽  
Author(s):  
Nanette M Roelfsema ◽  
Wim C.J Hop ◽  
Simona M.E Boito ◽  
Juriy W Wladimiroff
Keyword(s):  
Brain Volume ◽  
Three Dimensional ◽  
Fetal Brain

scholarly journals The Value of Three-Dimensional Brain Volume Combined with Time-of-Flight MRA in Microvascular Decompression

2019 ◽  
Vol 97 (2) ◽  
pp. 120-126
Author(s):  
Jun Li ◽  
Ying Wang ◽  
Zhigang Lian ◽  
Rongyao Liu ◽  
Zhanhua Liang ◽  
...  
Keyword(s):  
Microvascular Decompression ◽  
Brain Volume ◽  
Three Dimensional ◽  
Time Of Flight

The Value of Enhanced Three-dimensional Brain volume magnetic Resonance Imaging in tolosa-hunt Syndrome: A Clinical Retrospective Study

2020 ◽  
Author(s):  
Guoliang Lin ◽  
Shushu Zhang ◽  
Beilei Hu ◽  
Songfang Chen ◽  
Ming Zou ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Cavernous Sinus ◽  
Brain Volume ◽  
Three Dimensional ◽  
Resonance Imaging ◽  
High Detection Rate ◽  
Negative Results ◽  
Hunt Syndrome ◽  
Conventional Mri

Abstract Background: The study aimed to evaluate the enhanced three-dimensional brain volume magnetic resonance imaging (3D-BRAVO) in the diagnosis of Tolosa-Hunt syndrome (THS). Methods: we described 21 patients with THS and their case records including clinical syndromes and neuroradiologic features by conventional MRI and enhanced 3D-BRAVO. Results: 19 patients showed enhancement in the cavernous sinus through 3D-BRAVO. 16/19had ipsilateral enhanced lesions involved 4-10 continuous slices in cavernous sinus on 3D-BRAVOscan. Both local size enlargements and enhancement in the cavernous sinus were found in 3 patients. The rest 2 patients performed negative results on neither conventional MRI nor enhanced 3D-BRAVO. Conclusions: enhanced 3D-BRAVO imaging demonstrated a high detection rate in the cavernous sinus, which may promote our understanding ofTolosa-Hunt syndrome.

scholarly journals Effect of different standing poses on whole body volume acquisition by three-dimensional photonic scanning

2016 ◽  
Vol 10 (6) ◽  
pp. 553-556
Author(s):  
Chuang-Yuan Chiu ◽  
David L. Pease ◽  
Ross H. Sanders
Keyword(s):  
Three Dimensional ◽  
Whole Body ◽  
Body Volume ◽  
Volume Acquisition

scholarly journals Decreased nocturnal heart rate variability and potentially related brain regions in arteriosclerotic cerebral small vessel disease

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Miaoyi Zhang ◽  
Huan Yu ◽  
Weijun Tang ◽  
Ding Ding ◽  
Jie Tang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sleep Disordered Breathing ◽  
Brain Volume ◽  
Small Vessel Disease ◽  
Three Dimensional ◽  
Brain Regions ◽  
Cerebral Small Vessel Disease ◽  
Sleep Period ◽  
Vessel Disease ◽  
Cerebrovascular Risk

Abstract Background To assess heart rate variability (HRV) among patients with arteriosclerotic cerebral small vessel disease (CSVD) by comparing with control subjects, and to determine whether HRV parameters were related to structural alterations in brain regions involved in autonomic regulation among CSVD patients. Methods We consecutively recruited subjects aged between 50 and 80 years who visited the Stroke Prevention Clinic of our hospital and have completed brain magnetic resonance imaging examination from September 1, 2018 to August 31, 2019. Polysomnography and synchronous analyses of HRV were then performed in all participants. Multivariable binary logistic regression was used to identify the relationship between HRV parameters and CSVD. Participants were invited to further undergo three-dimensional brain volume scan, and the voxel based morphometry (VBM) analysis was used to identify gray matter atrophy. Results Among 109 participants enrolled in this study, 63 were assigned to the arteriosclerotic CSVD group and 46 to the control group. Lower standard deviation of normal-to-normal intervals (SDNN, OR = 0.943, 95% CI 0.903 to 0.985, P = 0.009) and higher ratio of low to high frequency power (LF/HF, OR = 4.372, 95% CI 1.033 to 18.508, P = 0.045) during the sleep period were associated with CSVD, independent of traditional cerebrovascular risk factors and sleep disordered breathing. A number of 24 CSVD patients and 21 controls further underwent three-dimensional brain volume scan and VBM analysis. Based on VBM results, SDNN during the awake time (β = 0.544, 95% CI 0.211 to 0.877, P = 0.001) and the sleep period (β = 0.532, 95% CI 0.202 to 0.862, P = 0.001) were both positively related with gray matter volume within the right inferior frontal gyrus only among CSVD patients. Conclusions Decreased nocturnal HRV is associated with arteriosclerotic CSVD independent of traditional cerebrovascular risk factors and sleep disordered breathing. The structural atrophy of some brain regions associated with cardiac autonomic regulation sheds light on the potential relationship. Trial registration Trial registration number: ChiCTR1800017902. Date of registration: 20 Aug 2018.

scholarly journals Comparing longitudinal brain atrophy measurement techniques in a real-world multiple sclerosis clinical practice cohort: towards clinical integration?

2019 ◽  
Vol 12 ◽  
pp. 175628641882346 ◽  
Author(s):  
H.N. Beadnall ◽  
C. Wang ◽  
W. Van Hecke ◽  
A. Ribbens ◽  
T. Billiet ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Clinical Practice ◽  
Real World ◽  
Brain Atrophy ◽  
Brain Volume ◽  
Measurement Techniques ◽  
Intraclass Correlation ◽  
Three Dimensional ◽  
Statistical Correlation ◽  
Brain Volume Loss

Background: Whole brain atrophy (WBA) estimates in multiple sclerosis (MS) correlate more robustly with clinical disability than traditional, lesion-based metrics. We compare Structural Image Evaluation using Normalisation of Atrophy (SIENA) with the icobrain longitudinal pipeline (icobrain long), for assessment of longitudinal WBA in MS patients. Methods: Magnetic resonance imaging (MRI) scan pairs [1.05 (±0.15) year separation] from 102 MS patients were acquired on the same 3T scanner. Three-dimensional (3D) T1-weighted and two-dimensional (2D)/3D fluid-attenuated inversion-recovery sequences were analysed. Percentage brain volume change (PBVC) measurements were calculated using SIENA and icobrain long. Statistical correlation, agreement and consistency between methods was evaluated; MRI brain volumetric and clinical data were compared. The proportion of the cohort with annualized brain volume loss (aBVL) rates ⩾ 0.4%, ⩾0.8% and ⩾0.94% were calculated. No evidence of disease activity (NEDA) 3 and NEDA 4 were also determined. Results: Mean annualized PBVC was −0.59 (±0.65)% and −0.64 (±0.73)% as measured by icobrain long and SIENA. icobrain long and SIENA-measured annualized PBVC correlated strongly, r = 0.805 ( p < 0.001), and the agreement [intraclass correlation coefficient (ICC) 0.800] and consistency (ICC 0.801) were excellent. Weak correlations were found between MRI metrics and Expanded Disability Status Scale scores. Over half the cohort had aBVL ⩾ 0.4%, approximately a third ⩾0.8%, and aBVL was ⩾0.94% in 28.43% and 23.53% using SIENA and icobrain long, respectively. NEDA 3 was achieved in 35.29%, and NEDA 4 in 15.69% and 16.67% of the cohort, using SIENA and icobrain long to derive PBVC, respectively. Discussion: icobrain long quantified longitudinal WBA with a strong level of statistical agreement and consistency compared to SIENA in this real-world MS population. Utility of WBA measures in individuals remains challenging, but show promise as biomarkers of neurodegeneration in MS clinical practice. Optimization of MRI analysis algorithms/techniques are needed to allow reliable use in individuals. Increased levels of automation will enable more rapid clinical translation.

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