660 research outputs found

    Regional Brain and Spinal Cord Volume Loss in Spinocerebellar Ataxia Type 3

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    Background: Given that new therapeutic options for spinocerebellar ataxias are on the horizon, there is a need for markers that reflect disease-related alterations, in particular, in the preataxic stage, in which clinical scales are lacking sensitivity. Objective: The objective of this study was to quantify regional brain volumes and upper cervical spinal cord areas in spinocerebellar ataxia type 3 in vivo across the entire time course of the disease. Methods: We applied a brain segmentation approach that included a lobular subsegmentation of the cerebellum to magnetic resonance images of 210 ataxic and 48 preataxic spinocerebellar ataxia type 3 mutation carriers and 63 healthy controls. In addition, cervical cord cross-sectional areas were determined at 2 levels. Results: The metrics of cervical spinal cord segments C3 and C2, medulla oblongata, pons, and pallidum, and the cerebellar anterior lobe were reduced in preataxic mutation carriers compared with controls. Those of cervical spinal cord segments C2 and C3, medulla oblongata, pons, midbrain, cerebellar lobules crus II and X, cerebellar white matter, and pallidum were reduced in ataxic compared with nonataxic carriers. Of all metrics studied, pontine volume showed the steepest decline across the disease course. It covaried with ataxia severity, CAG repeat length, and age. The multivariate model derived from this analysis explained 46.33% of the variance of pontine volume. Conclusion: Regional brain and spinal cord tissue loss in spinocerebellar ataxia type 3 starts before ataxia onset. Pontine volume appears to be the most promising imaging biomarker candidate for interventional trials that aim at slowing the progression of spinocerebellar ataxia type 3. ยฉ 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

    Mr volumetry of intracranial and brain volume in normal adult population aged 40 years old and above.

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    Magnetic Resonance Imaging (MRI) has significantly accelerated many studies involving the brain with more researchers looking into not only anatomy and structural aspects of the brain, but also functional aspect due to excellent soft tissue discrimination (Kennedy et al., 2003). MRI also enables researchers to study the changes involving intracranial volume, brain volume and compartmental volumes, giving valuable data regarding the normal human brain morphological changes and in certain degenerative diseases or psychiatric illnesses (Ohnishi et al., 2001; Peters, 2006)

    Reliability of brain atrophy measurements in multiple sclerosis using MRI: an assessment of six freely available software packages for cross-sectional analyses

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    PURPOSE: Volume measurement using MRI is important to assess brain atrophy in multiple sclerosis (MS). However, differences between scanners, acquisition protocols, and analysis software introduce unwanted variability of volumes. To quantify theses effects, we compared within-scanner repeatability and between-scanner reproducibility of three different MR scanners for six brain segmentation methods. METHODS: Twenty-one people with MS underwent scanning and rescanning on three 3 T MR scanners (GE MR750, Philips Ingenuity, Toshiba Vantage Titan) to obtain 3D T1-weighted images. FreeSurfer, FSL, SAMSEG, FastSurfer, CAT-12, and SynthSeg were used to quantify brain, white matter and (deep) gray matter volumes both from lesion-filled and non-lesion-filled 3D T1-weighted images. We used intra-class correlation coefficient (ICC) to quantify agreement; repeated-measures ANOVA to analyze systematic differences; and variance component analysis to quantify the standard error of measurement (SEM) and smallest detectable change (SDC). RESULTS: For all six software, both between-scanner agreement (ICCs ranging 0.4โ€“1) and within-scanner agreement (ICC range: 0.6โ€“1) were typically good, and good to excellent (ICCโ€‰>โ€‰0.7) for large structures. No clear differences were found between filled and non-filled images. However, gray and white matter volumes did differ systematically between scanners for all software (pโ€‰<โ€‰0.05). Variance component analysis yielded within-scanner SDC ranging from 1.02% (SAMSEG, whole-brain) to 14.55% (FreeSurfer, CSF); and between-scanner SDC ranging from 4.83% (SynthSeg, thalamus) to 29.25% (CAT12, thalamus). CONCLUSION: Volume measurements of brain, GM and WM showed high repeatability, and high reproducibility despite substantial differences between scanners. Smallest detectable change was high, especially between different scanners, which hampers the clinical implementation of atrophy measurements

    Fetal body MRI and its application to fetal and neonatal treatment: an illustrative review

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    This Review depicts the evolving role of MRI in the diagnosis and prognostication of anomalies of the fetal body, here including head and neck, thorax, abdomen and spine. A review of the current literature on the latest developments in antenatal imaging for diagnosis and prognostication of congenital anomalies is coupled with illustrative cases in true radiological planes with viewable three-dimensional video models that show the potential of post-acquisition reconstruction protocols. We discuss the benefits and limitations of fetal MRI, from anomaly detection, to classification and prognostication, and defines the role of imaging in the decision to proceed to fetal intervention, across the breadth of included conditions. We also consider the current capabilities of ultrasound and explore how MRI and ultrasound can complement each other in the future of fetal imaging

    ํ›„์œค์ƒํ”ผ์—ด๊ทผ ๋ถ€ํ”ผ์ธก์ •์„ ํ†ตํ•œ ์ผ์ธก์„ฑ๋Œ€๋งˆ๋น„ ์˜ˆํ›„ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜ํ•™๊ณผ, 2021. 2. ๊ถŒํƒ๊ท .์„œ๋ก  ์„ฑ๋Œ€๋งˆ๋น„๋Š” ๋‹ค์–‘ํ•œ ์›์ธ์— ์˜ํ•ด ํ•œ์ชฝ ํ˜น์€ ์–‘์ชฝ ์„ฑ๋Œ€๊ฐ€ ์›€์ง์ด์ง€ ์•Š๋Š” ์ƒํƒœ๋ฅผ ๋งํ•œ๋‹ค. ์ปดํ“จํ„ฐ ๋‹จ์ธต์ดฌ์˜์„ ์ด์šฉํ•˜์—ฌ ์„ฑ๋Œ€๋งˆ๋น„์˜ ๋ฐฉํ–ฅ ๋ฐ ์˜ˆํ›„๋ฅผ ์˜ˆ์ธกํ•˜๋ ค๋Š” ์—ฐ๊ตฌ๋“ค์ด ์„ ํ–‰๋˜์–ด ์™”๋‹ค. ์ตœ๊ทผ ์—ฐ๊ตฌ์— ์˜ํ•˜๋ฉด ์ผ์ธก์„ฑ๋Œ€๋งˆ๋น„ ํ™˜์ž์—์„œ ํ™˜์ธก์˜ ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ๋ถ€ํ”ผ๋ฅผ ๊ฑด์ธก๊ณผ ๋น„๊ตํ•˜์˜€์„ ๋•Œ ๋ถ€ํ”ผ๊ฐ€ ์ž‘์„ ์ˆ˜๋ก ํ›„๋‘๊ทผ์ „๋„์˜ ์†Œ๊ฒฌ๋„ ์•…ํ™”๋˜์—ˆ๊ณ , ์ผ์ธก ์„ฑ๋Œ€๋งˆ๋น„๋Š” ํšŒ๋ณต๋˜์ง€ ์•Š์•˜๋‹ค. ํ•˜์ง€๋งŒ, ์ด๋Š” ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ๋ถ€ํ”ผ๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ์ธก์ •ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์•„๋‹ˆ์—ˆ๊ธฐ์— ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ชฉ์ ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ฒซ์งธ, ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ๋ถ€ํ”ผ๋ฅผ ITK-SNAP ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ์ •๋Ÿ‰์ ์œผ๋กœ ์ธก์ •ํ•˜๊ณ  ์žฌํ˜„์„ฑ์„ ํ™•์ธํ•œ๋‹ค. ๋‘˜์งธ, ์ธก์ •ํ•œ ํ›„์œค์ƒํ”ผ์—ด๊ทผ ๋ถ€ํ”ผ์˜ ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ์„ ๊ตฌํ•˜์—ฌ ๊ทผ์ „๋„์˜ ๊ฒฐ๊ณผ์™€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๋Š”์ง€ ๋ถ„์„ํ•œ๋‹ค. ์…‹์งธ, ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ์ด ์˜๊ตฌ์  ์„ฑ๋Œ€๋งˆ๋น„๋ฅผ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ง€ํ‘œ๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์„์ง€ ํƒ๊ตฌํ•ด๋ณด๊ณ ์ž ํ•œ๋‹ค. ๋ฐฉ๋ฒ• 2005๋…„๋ถ€ํ„ฐ 2016๋…„๊นŒ์ง€ ์„œ์šธ๋Œ€๋ณ‘์›์„ ๋‚ด์›ํ•˜์—ฌ ์ผ์ธก์„ฑ๋Œ€๋งˆ๋น„๋กœ ์ง„๋‹จ๋ฐ›์€ ์„ฑ์ธ ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ›„ํ–ฅ์  ์˜๋ฌด๊ธฐ๋ก ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ผ์ธก์„ฑ๋Œ€๋งˆ๋น„ ๋ฐœ์ƒ ์ตœ์†Œ 3๊ฐœ์›” ์ดํ›„ ์‹œํ–‰๋œ ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜๊ณผ ํ›„๋‘๊ทผ์ „๋„๊ฐ€ ์žˆ๋Š” ํ™˜์ž๋ฅผ ๋ถ„์„๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ํ›„์œค์ƒํ”ผ์—ด๊ทผ์ด ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜์—์„œ ์ฃผ๋ณ€ ๊ตฌ์กฐ๋ฌผ๊ณผ ๊ตฌ๋ถ„์ด ๋˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ๋Š” ์—ฐ๊ตฌ๋Œ€์ƒ์—์„œ ์ œ์™ธํ•˜์˜€๋‹ค. ITK-SNAP์„ ํ†ตํ•ด ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ์œค๊ณฝ์„ ํ›„์œค์ƒํ”ผ์—ด๊ทผ์ด ์กด์žฌํ•˜๋Š” ๋ชจ๋“  ํ‰๋ฉด์—์„œ ์ง€์ •์„ ํ•˜์˜€๋‹ค. ์ธก์ •์ž๊ฐ€ ์ง€์ •ํ•œ ์œค๊ณฝ์„ ๋ฐ”ํƒ•์œผ๋กœ ํ”„๋กœ๊ทธ๋žจ์ด ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ๋ถ€ํ”ผ๋ฅผ ์ธก์ •ํ•˜์˜€๊ณ , ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ์„ ๊ตฌํ•˜์˜€๋‹ค. ํ›„๋‘๊ทผ์ „๋„ ๊ฒฐ๊ณผ๋Š” ์ •๋„์— ๋”ฐ๋ผ์„œ 5๊ฐœ์˜ ์ง‘๋‹จ์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๋‹ค. ์ดํ›„ ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ๊ณผ ํ›„๋‘๊ทผ์ „๋„, ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ๊ณผ ์˜ˆํ›„์˜ ์ƒ๊ด€์„ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ ์ด 41๋ช…์˜ ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ ์ผ์ธก์„ฑ๋Œ€๋งˆ๋น„์˜ ๋ฐฉํ–ฅ์€ ์ขŒ์ธก(71%)์ด ์šฐ์„ธํ•˜์˜€์œผ๋ฉฐ ์›์ธ์€ ํŠน๋ฐœ์„ฑ์ธ ๊ฒฝ์šฐ๊ฐ€ ๊ฐ€์žฅ ํ”ํ–ˆ๋‹ค. 2๋ช…์˜ ๋ถ„์„์ž๊ฐ€ ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ๋ถ€ํ”ผ๋ฅผ ์ธก์ •ํ•˜์˜€์œผ๋ฉฐ ์œ ์˜๋ฏธํ•œ ์žฌํ˜„์„ฑ์„ ๋ณด์˜€๋‹ค. (P<0.001) ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ์€ 0.50์ด์—ˆ์œผ๋ฉฐ ์ด๋Š” ํ›„๋‘ ๊ทผ์ „๋„ ๊ฒฐ๊ณผ์™€ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์กŒ๋‹ค. (Rho = -0.351, P = 0.024) ํ•˜์ง€๋งŒ, ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ์œ„์ถ• ์ •๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ฆ‰ ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ๋น„์œจ์ด ๊ฐ์†Œํ•  ์ˆ˜๋ก ์˜๊ตฌ์ ์ธ ์ผ์ธก์„ฑ๋Œ€๋งˆ๋น„์˜ ๋น„์œจ์ด ์œ ์˜๋ฏธํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ํ›„์œค์ƒํ”ผ์—ด๊ทผ์ด ๊ฑด์ธก๊ณผ ๋น„๊ตํ•˜์—ฌ 82% ์ด์ƒ ๊ฐ์†Œํ•œ ๊ฒฝ์šฐ์—๋Š” ์˜๊ตฌ์  ์„ฑ๋Œ€๋งˆ๋น„ ์–‘์„ฑ์˜ˆ์ธก๋„๋Š” 100%์˜€๋‹ค. ๊ฒฐ๋ก  ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ์ •๋Ÿ‰์ ์ธ ๋ถ€ํ”ผ์ธก์ •์€ ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์•˜์œผ๋ฉฐ, ํ™˜์ธก ๋Œ€ ๊ฑด์ธก ํ›„์œค์ƒํ”ผ์—ด๊ทผ์˜ ๋น„์œจ์€ ๊ธฐ์กด์˜ ์˜ˆํ›„ ์˜ˆ์ธก ๋ฐฉ๋ฒ•์ธ ํ›„๋‘๊ทผ์ „๋„ ๊ฒฐ๊ณผ์™€ ์—ฐ๊ด€์„ฑ์ด ์œ ์˜๋ฏธํ•˜๊ฒŒ ์žˆ์—ˆ๋‹ค. ์ด๋Š” ์„ ํ–‰ ์—ฐ๊ตฌ์™€ ์ผ์น˜ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์ด๋ฉฐ, ํ–ฅํ›„ ์˜ˆ์ธก ์ง€ํ‘œ๋กœ ํ™œ์šฉ ๊ฐ€๋Šฅํ•˜๋‹ค. ๋” ๋งŽ์€ ํ™˜์ž๊ตฐ์„ ๋Œ€์ƒ์œผ๋กœ ์ž๋™ํ™”๋œ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜์—ฌ ์ธก์ •๊ฐ’์ด ์ฐธ๊ฐ’์— ๊ทผ์ ‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ›„์†์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค.Introduction: Vocal fold paralysis (VFP) refers to a condition in which one or both vocal cords do not move due to various reasons. Studies have been conducted to predict the direction of VFP and prognosis of VFP using computed tomography (CT). According to a recent study, in patients with unilateral VFP (UVFP), the lower the volume of the posterior cricoarytenoid (PCA) muscle on the affected side, the worse the laryngeal electromyography (LEMG) findings, the smaller the volume, and the less chances for UVFP to recover. However, there was no study that has quantitatively measured the volume of the PCA muscle and analyzed it as a continuous variable. Therefore, this study was conducted for the following purposes. First, the volume of the PCA muscle was measured using the ITK-SNAP program, and reproducibility was checked. Second, the PCA muscle volume ratio was calculated and analyzed to find whether there was a correlation with the result of LEMG findings. Third, we explored whether the PCA muscle volume ratio could be used as an index to predict permanent UVFP. Methods: From 2005 to 2016, a retrospective medical record review of adult patients who visited the Seoul National University Hospital diagnosed with UVFP was performed. Patients with CT and LEMG performed at least 3 months after the onset of UVFP were analyzed. Cases in which the PCA muscle was indistinguishable from the surrounding structures by CT were excluded from the study. Through ITK-SNAP, the contours of the PCA muscle were specified in all planes where the PCA muscle was present. Based on the contour specified by the measurer, ITK-SNAP calculated the volume and PCA muscle atrophy ratio. The LEMG results were divided into 5 groups according to the severity. Subsequently, the correlations between the PCA muscle volume ratio and the LEMG as well as PCA muscle volume ratio and prognosis were analyzed. Results: Analysis of 41 patients showed that the left side was more dominant (71%) with idiopathic VFP as the most common etiology. PCA muscle measured by two clinicians had significant reproducibility (P<0.001). The average PCA muscle volume ratio was 0.50, which had a negative correlation with LEMG grades (Rho=-0.351, P=0.024). However, as the PCA volume atrophy increased, the proportion of permanent UVFP significantly increased (P<0.001). When PCA muscle volume decreased by 82% or more compared to the normal side, the positive predictive value for permanent UVFP was 100%. Conclusion: The quantitative volume measurement of the PCA muscle was highly reliable, and the PCA muscle volume ratio was significantly correlated with the LEMG results, which is a conventional tool for anticipating the prognosis. This was consistent with the findings of previous studies and can be used as an index for the prognosis of UVFP. Follow-up studies are required in which a greater number of patients are analyzed by the automated process so that the measured value can reach the true value.Abstract i Contents iv List of Figures v List of Tables vi List of Abbreviations vii Introduction 1 Materials and Methods 4 Study design 4 PCA muscle volume measurements with ITK-SNAP 5 LEMG 7 Statistical analysis 8 Results 10 Demographics and clinical characteristics 10 Diagnostic accuracy of the UVFP side 11 PCA muscle volume and ratio 11 Correlation between PCA muscle volume and LEMG patterns 11 Prediction of permanent UVFP using the PCA muscle volume ratio 12 Discussion 13 Conclusion 17 Figures and Tables 18 Reference 39 Abstract in Korean (๊ตญ๋ฌธ ์ดˆ๋ก) 43Maste

    Spinal cord volume quantification and clinical application in multiple sclerosis

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    Magnetic resonance imaging of the spinal cord is a valuable part of the diagnostic work-up in patients with multiple sclerosis and other neurological disorders. Currently, mainly signal intensity changes within the cord in MR-images are considered in the clinical management of disorders of the central nervous system. However, cross-sectional or longitudinal measurements of spinal cord volume may deliver additional valuable information. Hence, the overall goal of this doctoral thesis was twofold: i) to clinically validate methods for quantification of spinal cord volume and spinal cord compartments, which are suitable for longitudinal assessment of large patient cohorts and clinical practice and ii) to evaluate spinal cord volume as a potential valuable biomarker and provide new insights into the role of spinal cord damage in multiple sclerosis. The first part focuses on the validation of quantification methods for spinal cord volume and includes two projects. While several MRI-based approaches of semi- and fully automatic techniques for volumetric spinal cord measurements have been proposed, up to now no gold standard exists and only a few methods have been validated and/or evaluated on patient follow-up scans to demonstrate their applicability in longitudinal settings. One of the latter segmentation methods was recently developed in-house and showed excellent reliability for cervical cord segmentation (Cordial, the cord image analyzer). In a first project, we extended its applicability to the lumbar cord, since no other software has been tested so far within this anatomical region of interest. On a well-selected dataset of 10 healthy controls (scanned in a scan-rescan fashion) we were able to show that - even within this technically challenging region - this segmentation algorithm provides excellent inter- and intra-session reproducibility showing high potential for application in longitudinal trials. In a second project, we aimed at obtaining volumetric information on particular compartments of the spinal cord such as the cord grey and white matter, since recent studies in multiple sclerosis provided evidence that measuring spinal cord grey matter volume changes may be a better biomarker for disease progression than quantifying cord white matter pathology or even volumetric brain measures. We therefore implemented a novel imaging approach, the averaged magnetization inversion recovery acquisitions sequence, for better grey and white matter visualization within the cord and scanned 24 healthy controls in a scan-rescan fashion. Further we applied an innovative fully automatic variational segmentation algorithm with a shape prior modified for 3D data with a slice similarity prior to segment the spinal cord grey and white matter. This pipeline allowed for highly accurate and reproducible grey and white matter segmentation within the cord. In view of its features, our automatic segmentation method seems promising for further application in both cross-sectional and longitudinal and in large multi-center studies. The second goal of this thesis was the clinical application of the above-mentioned methods for the evaluation of spinal cord volume changes as a potential biomarker in multiple sclerosis patients. For this purpose, we quantified spinal cord volume change in a large cohort of 243 multiple sclerosis patients, followed over a period of 6 years with annual clinical and MRI examinations. Spinal cord volume proved to be a strong predictor of physical disability and disease progression, indicating that it may be a suitable marker for monitoring disease activity and severity in all disease types but especially in progressive multiple sclerosis. Spinal cord volume also proved to be the only MRI metric to strongly explain the clinical progression over time as opposed to brain atrophy and lesion measures

    Quantification of spinal cord atrophy in magnetic resonance images

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    Quantifying the volume of the spinal cord is of vital interest for studying and understanding diseases of the central nervous system such as multiple sclerosis (MS). In this thesis, which is motivated by MS research, we propose methods for measuring the spinal cord cross-sectional area and volume in magnetic resonance (MR) images. These measurements are used for determining neural atrophy and for performing both longitudinal and cross-sectional comparisons in clinical trials. We present three evolutionary steps of our approach: In the first step, we use graph cutโ€“based image segmentation on the intensities of T1-weighted MR images. In the second step, we combine a continuous max flow segmentation algorithm with a cross-sectional similarity prior and Hessian-based structural features, which we apply to T1- and T2-weighted images. The prior leverages the fact that the spinal cord is an elongated structure by constraining its cross-sectional shape to vary only slowly along one image axis. In conjunction with the additional features, the segmentation robustness is thus increased. In the third step, we combine continuous max flow with anisotropic total variation regularization, which enables us to direct the regularization of the cross-sectional shape of the spinal cord more flexibly. We implement the proposed approach as a semi-automatic software toolchain that automatically segments the spinal cord, reconstructs its surface, and acquires the desired measurements. The software employs a user-provided anatomical landmark as well as hints for the location of the spinal cord and its surroundings. It accounts for the bending of the spine, MR-induced image distortions, and noise. We evaluate the proposed methods in experiments on phantom, healthy subject, and patient data. Our measurement accuracy and precision are on par with the state of the art. At the same time, our measurements on MS patient data are in accordance with the medical literature

    Volumetric and symmetry comparison of intracranial matter between preterm and full-term children

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    BACKGROUND: Pre-term delivery is known to cause developmental problems due to the fragile nature of the premature brain. In particular, ventriculomegaly is a commonly observed phenomenon due to the hemorrhaging of the germinal matrix, and may cause alterations in the volumes of gray matter, white matter and cerebrospinal fluid in growing pre-term children. METHODS: The volume and symmetry of a sample population of ELGAN (Extremely Low Gestational Age Newborns) and normal-term population obtained from the NIH Study of Normal Brain Development was evaluated. The ELGAN group consisted of 88 subjects from age group 9 to 11 and the normal-term group consisted of 68 subjects from age group 7 to 11. Magnetic resonance images were taken from both samples and the intracranial matter was measured and segmented. RESULTS: Histograms of the obtained volumes showed a normal distribution and statistical analysis for each sample group and gender. The ELGAN group had higher intracranial volumes and showed statistically significant asymmetry that was not present in the normal term population with a larger right brain than left brain. Discussion: Results indicate that preterm delivery may alter processes that allow for symmetrical brain development and heavily favor the relative higher expansion of the right side of the brain. CONCLUSION: Further analysis of the concentration and location of the white matter and gray matter in both preterm and normal term children is necessary in order to understand the adaptive mechanisms that may be activated in order to offset the damage done to the premature brain

    Towards a standard MRI protocol for multiple sclerosis across the UK.

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    Multiple sclerosis (MS) is a chronic inflammatory demyelinating and degenerative disease of the central nervous system. It is the most common non-traumatic cause of chronic disability in young adults. An early and accurate diagnosis, and effective disease modifying treatment (DMT) are key elements of optimum care for people with MS (pwMS). Magnetic resonance imaging (MRI) has become a critical tool to confirm the presence of dissemination in space and time of lesions characteristic of inflammatory demyelination, a cornerstone of MS diagnosis, over and above exclusion of numerous differential diagnoses. In the modern era of early and highly effective DMT, follow-up of pwMS also relies heavily on MRI, to both confirm efficacy and for pharmacovigilance. Since criteria for MS rely heavily on MRI, an agreed standardized acquisition and reporting protocol enabling efficient and equitable application across the UK is desirable. Following a recent meeting of MS experts in London (UK), we make recommendations for a standardized UK MRI protocol that captures the diagnostic phase as well as monitoring for safety and treatment efficacy once the diagnosis is established. Our views take into account issues arising from the (repeated) use of contrast agents as well as the advent of (semi-) automated tools to further optimise disease monitoring in pwMS.Edmond J Safra FoundationLily SafraMRCUK Dementia Research InstituteImperial College Healthcare Trust Biomedical Research Centr

    Molecular Imaging of Microglial Activation in Amyotrophic Lateral Sclerosis

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    There is growing evidence of activated microglia and inflammatory processes in the cerebral cortex in amyotrophic lateral sclerosis (ALS). Activated microglia is characterized by increased expression of the 18 kDa translocator protein (TSPO) in the brain and may be a useful biomarker of inflammation. In this study, we evaluated neuroinflammation in ALS patients using a radioligand of TSPO, 18F-DPA-714. Ten patients with probable or definite ALS (all right-handed, without dementia, and untreated by riluzole or other medication that might bias the binding on the TSPO), were enrolled prospectively and eight healthy controls matched for age underwent a PET study. Comparison of the distribution volume ratios between both groups were performed using a Mann-Whitneyโ€™s test. Significant increase of distribution of volume ratios values corresponding to microglial activation was found in the ALS sample in primary motor, supplementary motor and temporal cortex (p = 0.009, p = 0.001 and p = 0.004, respectively). These results suggested that the cortical uptake of 18F-DPA-714 was increased in ALS patients during the โ€˜โ€˜time of diagnosisโ€™โ€™ phase of the disease. This finding might improve our understanding of the pathophysiology of ALS and might be a surrogate marker of efficacy of treatment on microglial activation
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