Single Magnetic Resonance Imaging Scan Research Articles

The Relationship between Normal Cerebral Perfusion Patterns and White Matter Lesion Distribution in 1,249 Patients with Multiple Sclerosis

The pathological differences underlying the clinical disease phases in multiple sclerosis (MS) are poorly characterized. We sought to explore the relationship between the distribution of white matter (WM) lesions in relapsing-remitting (RR) and secondary progressive (SP) MS and the normal regional variability of cerebral perfusion. WM lesions were identified and quantified on a single magnetic resonance imaging scan from 1,249 patients with MS. The spatial distribution of lesions was compared between early RR, late RR, and SP MS in the context of normal cerebral perfusion patterns provided by a single-photon emission-computed tomography atlas of healthy individuals. Patients with SP MS had more distinct and larger lesions than patients with RR MS. Across all subjects, lesions were present in regions of relatively lower normal perfusion than normal appearing WM. Further, lesions in SP MS were more common in areas of lower perfusion as compared to the lesion distribution in early and late RR MS. Chronic plaques were more prevalent in WM regions with lower relative perfusion. Lesions in more highly perfused regions were more commonly observed in early RR MS and therefore, may be more likely to successfully remyelinate and resolve.

Validity of a New Abdominal Bioelectrical Impedance Device to Measure Abdominal and Visceral Fat: Comparison With MRI

Abdominal fat, and in particular, visceral adipose tissue (VAT), is the critical fat depot associated with metabolic aberrations. At present, VAT can only be accurately measured by computed tomography or magnetic resonance imaging (MRI). This study was designed to compare a new abdominal bioelectrical impedance (BIA) device against total abdominal adipose tissue (TAAT) and VAT area measurements made from an abdominal MRI scan, and to assess its reliability and accuracy. One-hundred twenty participants were recruited, stratified by gender and BMI. Participants had triplicate measures of abdominal fat and waist circumference (WC) with the AB-140 (Tanita, Tokyo, Japan) and WC measurements using a manual tape measure. A single abdominal MRI scan was performed as the reference method. Triplicate measures with the AB-140 showed excellent precision for "visceral fat level," trunk fat %, and WC. AB-140 "visceral fat level" showed significantly stronger correlations with MRI TAAT area than with MRI VAT area (r = 0.94 vs. 0.65 in men and 0.92 vs. 0.64 in women). AB-140 WC showed good correlation with manual WC measurements (r = 0.95 in men and 0.90 in women). AB-140 and manual WCs showed comparable correlations with MRI TAAT area (r = 0.92 and 0.96 in men and 0.88 and 0.88 in women). AB-140 is a simple, quick, and precise technique to measure abdominal fat and WC in healthy adults. It provides a useful proxy for TAAT measured by MRI, comparable to the correlation obtained with manual WC measurements. Neither the AB-140 abdominal fat measures nor WC measurement appear to provide a useful proxy measure of VAT.

Diffusion-Weighted MRI for the Healthy Cervical Multifidus: A Potential Method for Studying Neck Muscle Physiology Following Spinal Trauma

Cross-sectional. To develop a new magnetic resonance imaging (MRI) measure for the diffusive properties of the healthy cervical multifidus and to determine the interrater and intrarater reliability of the measurement. Diffusion-weighted MRI, via calculation of the apparent diffusion coefficient (ADC), provides a representation of microscopic movements of water molecules in human tissues and may be useful to assess structural changes in neck muscle, as has been observed following whiplash. The optimal imaging parameters, however, have not been established. A diffusion-weighted MRI measure was developed, and, for the basic examination, the right cervical multifidus muscle at the C5 level was studied. A total of 6 asymptomatic volunteer individuals (3 females and 3 males) underwent a single diffusion-weighted MRI scan. Interrater and intrarater agreement was evaluated using Bland-Altman plots and intraclass correlation coefficients. Mean ADCb0-b50 and ADCb50-250 were significantly different from one another (P=.03). The plots confirmed the agreement of raters for ADC of the right cervical multifidus at C5. A quantitative and reliable diffusion-weighted MRI measure of cervical multifidus ADC has been described. There appears to be a fast and slow component ADC for the healthy multifidus, suggesting changes in extracellular and intracellular volume. Further comparative study is needed to quantify ADCs in the neck muscles in patients with traumatic whiplash.

Long-term Control of Vestibular Schwannoma after a Translabyrinthine Complete Removal

The goal of this study was to determine the rate of recurrent vestibular schwannoma after a total removal via the translabyrinthine approach. Between 1973 and 1995, 346 patients were operated on by a translabyrinthine approach. Ninety-one patients were included in a retrospective study for follow-up of 5 years or longer. The mean follow-up period for magnetic resonance imaging (MRI) examination was obtained after mean of 11 years in 91 patients. None of the 91 patients experienced a recurrent vestibular schwannoma on MRI. The translabyrinthine approach is a safe procedure for total definitive removal of a vestibular schwannoma and permitted the absence of tumoral recurrence in our series of 91 patients. A single gadolinium-enhanced MRI scan 5 years after surgery is advised in case of total removal. In case of any doubt about the quality of the tumoral removal, a proposed MRI follow-up schedule within 2 years and 5 years of surgery is an initial baseline pattern, and possibly thereafter repeated MRI examinations on clinical grounds.

Long-term Control of Vestibular Schwannoma after a Translabyrinthine Complete Removal

OBJECTIVE: The goal of this study was to determine the rate of recurrent vestibular schwannoma after a total removal via the translabyrinthine approach. PATIENTS: Between 1973 and 1995, 346 patients were operated on by a translabyrinthine approach. Ninety-one patients were included in a retrospective study for follow-up of 5 years or longer. RESULTS: The mean follow-up period for magnetic resonance imaging (MRI) examination was obtained after mean of 11 years in 91 patients. None of the 91 patients experienced a recurrent vestibular schwannoma on MRI. CONCLUSION: The translabyrinthine approach is a safe procedure for total definitive removal of a vestibular schwannoma and permitted the absence of tumoral recurrence in our series of 91 patients. A single gadolinium-enhanced MRI scan 5 years after surgery is advised in case of total removal. In case of any doubt about the quality of the tumoral removal, a proposed MRI follow-up schedule within 2 years and 5 years of surgery is an initial baseline pattern, and possibly thereafter repeated MRI examinations on clinical grounds.

P2-225 Using cortical thickness to predict Alzheimer's disease

Regional analysis of cortical thickness has been studied extensively in building imaging biomarkers for early detection of Alzheimer's disease but not its interregional covariation of thickness. We present novel features based on the inter-regional covariation of cortical thickness. Initially, the cortical labels of each subject are partitioned into small patches (graph nodes) by spatial k-means clustering. A graph is then constructed by establishing a link between 2 nodes if the difference in thickness between the nodes is below a certain threshold. From this binary graph, a thickness network is computed using nodal degree, betweenness, and clustering coefficient measures. Fusing them with multiple kernel learning, it is observed that thickness network features discriminate mild cognitive impairment (MCI) converters from controls (CN) with an area under curve (AUC) of 0.83, 74% sensitivity and 76% specificity on a large subset obtained from the Alzheimer's Disease Neuroimaging Initiative data set. A comparison of predictive utility in Alzheimer's disease and/or CN classification (AUC of 0.92, 80% sensitivity [SENS] and 90% specificity [SPEC]), in discriminating CN from MCI (converters and nonconverters combined; AUC of 0.75, SENS and SPEC of 64% and 73%, respectively) and in discriminating between MCI nonconverters and MCI converters (AUC of 0.68, SENS and SPEC of 65% and 64%) is also presented. ThickNet features as defined here are novel, can be derived from a single magnetic resonance imaging scan, and demonstrate the potential for the computer-aided prognostic applications.

Quantitative measurements of articular cartilage by magnetic resonance imaging

There is now ever-increasing acceptance that magnetic resonance imaging (MRI) can provide valuable, possibly unique, measurement data for an articular joint as a complete organ. Thus a single MRI scan, duration 10 min, which can be measured with most whole body scanners, visualises not only all the soft tissues within the joint capsule (articular cartilage, ligaments, menisci) and those surrounding it (muscles, tendons, blood vessels), but also the bone (both cortical and trabecular). Importantly, recent software developments enable quantitation of the dimensions of those structural elements. Particular attention has focused on human knee articular cartilage and a large number of studies have already reported measurement of total volumes or local volumes, and of mean cartilage thickness for an entire condyle or more localised regions. This poster will provide an overview of studies from the Herchel Smith Laboratory that demonstrate the practical realities of quantitative measurements relevant to the longitudinal studies that must be made for human drug trials. The specific questions that we have explored since 1995 include the following: • Is it best to make 'focal' or 'total' measurements? • How to enhance reproducibility of spatial relocation for serial measurements? • What are the best statistical definitions of measurement repeatability? • How to decrease interobserver variations of spatial measurements? • How to enhance measurement ergonomics? • How to automate the measurement processes?