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At least 127 records · Page 7Linked to original sources

CT versus MR in neonatal brain imaging at term.

BACKGROUND: Recent reports have highlighted the lifetime risk of malignancy from using ionizing radiation in pediatric imaging. Computed tomography (CT), which uses ionizing radiation, is employed extensively for neonatal brain imaging of term infants. Magnetic resonance (MR) provides an alternative that does not use ionizing radiation. OBJECTIVE: The purpose of this study was to assess the cross-modality agreement and interobserver agreement of CT and MR brain imaging of the term or near-term neonate. MATERIALS AND METHODS: Brain CT and MR images of 48 neonates were retrospectively reviewed by two pediatric neuroradiologists. CT and MR examinations had been obtained within 72 h of one another in all patients. CT was obtained with 5 mm collimation (KV=120, mAs=340). MR consisted of T1-weighted imaging (TR/TE=300/14; 4-mm slice thickness/1-mm gap), T2-weighted imaging (TR/TE/etl= 3000/126/16; 4-mm slice thickness/1-mm gap), and line scan diffusion imaging (LSDI) (TR/TE/b factor=1258/63/750; nominal 4-mm slice thickness/3-mm gap). The brain was categorized as normal or abnormal on both CT and MR. RESULTS: Ischemic injury was the most common brain abnormality demonstrated. McNemar's test indicated no significant difference between CT and MR test results for reader 1 (P=0.22) or reader 2 (P=0.45). The readers agreed on the presence or absence of abnormality on CT in 40 patients (83.3%) and on MR in 45 patients (93.8%). For CT, the kappa coefficient indicated excellent interobserver agreement (kappa=0.68), although the lower limit of the 95% confidence interval extends to kappa=0.55, which indicates only good-to-moderate agreement. For MR, the kappa coefficient indicated almost perfect interobserver agreement (kappa=0.88) with the 95% confidence interval extending to a lower limit of kappa=0.76, which represents excellent agreement. CONCLUSION. Because MR demonstrates findings similar to CT and has greater interobserver agreement, it appears that MR is a superior test to CT in determining brain abnormalities in the term neonate. Furthermore, since MR eliminates the use of ionizing radiation, a putative cause of malignancy, it should be the standard in neonatal brain imaging. Future efforts should be directed to improving neonatal access to MR to avoid the routine use of CT in infants.

Brain↗

A spheroid positron emission tomograph for brain imaging: a feasibility study.

UNLABELLED: It has been long recognized that the primary advantage of imaging the brain with a positron emission tomography using GSO scintillation detectors placed on a spheroid surface is the large solid angle of acceptance for annihilation radiation, which results in improved system sensitivity and image signal-to-noise ratio. In the present study, we investigated spheroid system geometry, detector design and contribution of scattered coincidences. METHODS: Scintillation detector distribution on a spheroidal surface was investigated by approximating the surface by polygons. Finding a suitable crystal for this purpose led to the development of an experimental GSO block-type detector. The fraction of scattered coincidences was experimentally evaluated using phantoms and detector pairs in conjunction with a testing platform, and the relationship between scattered fraction and phantom volume was obtained. RESULTS: Spheroid geometry was best implemented with a polyhedron consisting of a series of consecutive rings formed by trapezoids. An experimental block-type detector with 36 GSO scintillators and four 14-mm-diameter photomultiplier tubes, together with custom electronics, yielded a spatial resolution of 3.4 mm FWHM and an energy resolution of 18% FWHM. Using nearly "ideal" scintillation detectors with a 350-keV threshold, we found the scatter fraction to be 0.32 for a 20-cm uniform phantom, 0.22 for a 15-cm phantom and closely proportional to the square root of the phantom volume. CONCLUSION: For cerebral studies, a spheroid PET using GSO scintillators has several advantages: optimized geometry for sensitivity, a dead-time fivefold smaller than an equivalent BGO system, and appreciably better light output for improved energy resolution and detector identification. The construction of such a system is within the capabilities of present technology.

Brain↗

Functional brain imaging as a surrogate marker in vascular cognitive impairment.

Functional brain imaging represents cerebrovascular status, neuronal status, and neuronetwork status, and plays an increasingly important role in the evaluation of vascular cognitive impairment or vascular dementia. In this article, the roles of functional brain imaging are discussed in evaluation of subcortical lesions disrupting cortico-subcortical circuits and in the study of white-matter changes in dementia. Also mentioned is an ongoing clinical trial of extracranial-intracranial artery bypass surgery for hemispheric hemodynamic misery perfusion where single-photon emission tomography is used as a surrogate measure.

Aged↗

[Brain imaging and eating disorders].

Among the brain imaging studies that have been conducted in eating disorder patients, some focused on the morphological alterations associated with these disorders, and others aimed at investigating functional cerebral alterations of these patients. However, very few studied the links between the observed morphological and functional alterations and cognitive functioning of these patients more specifically. Here we report the results provided by the various brain neuroimaging techniques that were used to assess brain structure and functioning, and neuroendocrine dysregulation of eating disorders patients. A number of abnormalities evidenced by neuroimaging studies, notably the structural ones, do not seem completely reversible with clinical improvement. This article stresses the need for more imaging studies examining to which extent these alterations are reversible. Based on animal and human literature describing the neural bases of eating behavior, that highlight potential pathophysiological mechanisms that may be involved in the etiology of eating disorders, we will try to determine how understanding eating disorders pathophysiology could benefit from the use of neuroimaging.

Animals↗

Classification of anatomical structures in MR brain images using fuzzy parameters.

We present an algorithm that automatically segments and classifies the brain structures in a set of magnetic resonance (MR) brain images using expert information contained in a small subset of the image set. The algorithm is intended to do the segmentation and classification tasks mimicking the way a human expert would reason. The algorithm uses a knowledge base taken from a small subset of semiautomatically classified images that is combined with a set of fuzzy indexes that capture the experience and expectation a human expert uses during recognition tasks. The fuzzy indexes are tissue specific and spatial specific, in order to consider the biological variations in the tissues and the acquisition inhomogeneities through the image set. The brain structures are segmented and classified one at a time. For each brain structure the algorithm needs one semiautomatically classified image and makes one pass through the image set. The algorithm uses low-level image processing techniques on a pixel basis for the segmentations, then validates or corrects the segmentations, and makes the final classification decision using higher level criteria measured by the set of fuzzy indexes. We use single-echo MR images because of their high volumetric resolution; but even though we are working with only one image per brain slice, we have multiple sources of information on each pixel: absolute and relative positions in the image, gray level value, statistics of the pixel and its three-dimensional neighborhood and relation to its counterpart pixels in adjacent images. We have validated our algorithm for ease of use and precision both with clinical experts and with measurable error indexes over a Brainweb simulated MR set.

Algorithms↗

Radioiodinated 1-substituted-4-phenylpiperazines as potential brain imaging agents.

A series of four 125I-labeled 1-substituted-4-phenylpiperazines were prepared and evaluated in rats as potential brain imaging agents. The compounds were labeled using [125I]iodide/chloramine-T or iodine monochloride and isolated in 48-60% radiochemical yields. The tissue distribution studies indicated that a butyrophenone derivative demonstrated the best overall brain-imaging properties. Compared with the compounds having other 1-substituents this agent had a more prolonged retention of activity in the brain and higher brain-to-blood ratios over the 4-h period studied. The in vivo behavior of this agent is comparable to that of radioiodinated N-isopropyl-p-iodoamphetamine, and, because it can be labeled directly via electrophilic methods, it has substantial potential for use in brain imaging with single photon emission computed tomography.

Animals↗

Molecular brain imaging and the neurobiology and genetics of schizophrenia.

It has been hypothesized that schizophrenia is related to dysfunction in temporolimbic-prefrontal neuronal networks, which is acquired early in an individual's development. After puberty, relatively reduced prefrontal control of striatal dopaminergic neurotransmission may lead to unmodulated striatal dopamine (DA) activity, and the positive symptoms of acute psychosis. Brain imaging studies support the notion of prefrontal dysfunction in schizophrenia and correlated upregulation of presynaptic striatal DA activity. Recent molecular brain imaging studies have combined genetic assessments with a multimodal neuroimaging approach to further refine our understanding of the pathophysiologic architecture of the disorder. We review the literature on functional brain imaging in schizophrenia and discuss genotype effects on core psychotic symptoms. A promising research strategy is the identification of genetic and environmental factors that contribute to intermediate phenotypes such as working memory deficits in schizophrenia. Molecular brain imaging can help to unravel the complex interactions between genes and environment and its association with neuronal network dysfunction in schizophrenia.

Animals↗

Basal ganglia infarction demonstrated by radionuclide brain imaging.

Four cases of basal ganglia infarction demonstrated by radionuclide brain imaging are presented. Bilateral basal ganglia infarctions in two patients were probably related to methanol intoxication and meningoencephalitis, and unilateral basal ganglia infarctions in two other patients were presumably due to cerebral atherosclerosis and/or hypertension. Various causes and mechanisms of basal ganglia infarction as well as positive findings of radionuclide brain imaging are briefly reviewed.

Basal Ganglia↗

ELSI priorities for brain imaging.

As one of the most compelling technologies for imaging the brain, functional MRI (fMRI) produces measurements and persuasive pictures of research subjects making cognitive judgments and even reasoning through difficult moral decisions. Even after centuries of studying the link between brain and behavior, this capability presents a number of novel significant questions. For example, what are the implications of biologizing human experience? How might neuroimaging disrupt the mysteries of human nature, spirituality, and personal identity? Rather than waiting for an ethical agenda to emerge from some unpredictable combination of the concerns of ethicists and researchers, the attention of journalists, or after controversy is sparked by research that cannot be retracted, we queried key figures in bioethics and the humanities, neuroscience, media, industry, and patient advocacy in focus groups and interviews. We identified specific ethical, legal and social issues (ELSI) that highlight researcher obligations and the nonclinical impact of the technology at this new frontier.

Behavior↗

Feedback of brain-imaging findings: effect on impaired awareness and mood in acquired brain injury.

PRIMARY OBJECTIVE: To investigate the utility of feedback of brain-imaging findings as an intervention for improving impaired awareness, depression and anxiety levels. RESEARCH DESIGN AND METHODS: A prospective within-subjects repeated measures design was used with an intervention sample of 17 adults with acquired brain injury. Baseline and post-intervention measures included self-report and questionnaire-based self-awareness instruments and self-report questionnaires for depression and anxiety. Participants also completed a range of neuropsychological tests. INTERVENTION: The intervention consisted of a session where a Consultant Neurologist explained the findings of brain scans in terms of pathological findings and possible neurobehavioural outcome. RESULTS: Scores on measures of unawareness and two of three mood measures decreased significantly following the intervention. This improvement was maintained at 2-week follow-up. CONCLUSION: Individuals with an acquired brain injury may benefit from a feedback procedure where the findings of brain scans are presented.

Adult↗

A multiresolution approach for contour extraction from brain images.

Many image registration methods use head surface, brain surface, or inner/outer surface of the skull to estimate rotation and translation parameters. The inner surface of the skull is also used for intracranial volume segmentation which is considered the first step in segmentation and analysis of brain images. The surface is usually characterized by a set of edge or contour points extracted from cross-sectional images. Automatic extraction of contour points is complicated by discontinuity of edges in the back of the eyes and ears and sometimes by a previous surgery or an inadequate field of view. We have developed an automated method for contour extraction that connects discontinuities using a multiresolution pyramid. Steps of the method are: (1) Contour points are found by an edge-tracking algorithm; (2) A multiresolution pyramid of contour points is constructed; (3) Contour points of reduced images are found; (4) From the continuous contour found at the lowest resolution, contour points at a higher resolution are found; (5) Step 4 is repeated until contour points at the highest resolution (original image) are found. The method runs fast and has been successful in extracting contours from MRI and CT images. We illustrate the method and its performance using MRI and CT images of the human brain.

Algorithms↗

Increased cortical oxidative metabolism due to sensory stimulation: implications for functional brain imaging.

Modern functional brain mapping relies on interactions of neuronal electrical activity with the cortical microcirculation. The existence of a highly localized, stimulus-evoked initial deoxygenation has remained a controversy. Here, the activity-dependent oxygen tension changes in the microcirculation were measured directly, using oxygen-dependent phosphorescence quenching of an exogenous indicator. The first event after sensory stimulation was an increase in oxygen consumption, followed by an increase in blood flow. Because oxygen consumption and neuronal activity are colocalized but the delayed blood flow is not, functional magnetic resonance imaging focused on this initial phase will yield much higher spatial resolution, ultimately enabling the noninvasive visualization of fundamental processing modules in the human brain.

Animals↗

Positron emission tomography and single-photon emission computed tomography brain imaging in the evaluation of dementia.

The role of PET and SPECT brain imaging in the initial assessment and differential diagnosis of dementia is beginning to evolve rapidly. Numerous studies confirm the value of functional brain imaging, particularly with FDG-PET imaging, as a potentially cost-effective means of establishing an earlier diagnosis of Alzheimer's disease. Such an approach should allow for a more objective means of establishing which patients will benefit from treatment with cholinesterase inhibitors. In the future, neuroreceptor and plaque burden imaging studies should further enhance the sensitivity and specificity of dementia detection and patient management.

AIDS Dementia Complex↗

Brain imaging of clinical pain states: a critical review and strategies for future studies.

Research into brain imaging of pain is largely dominated by experimental acute-pain studies. Applied study paradigms have evolved a lot over past years and the ensuing results have furthered enormously our understanding of acute-pain processing. In sharp contrast, published work on brain-imaging in chronic pain remains scant. Furthermore, the results of these studies are highly incongruent, which could be explained by the fact that patient populations studied varied largely in terms of pain history, pain distribution, cause of pain, and psychological set-up. To circumvent these problems, several investigators have used surrogate models of neuropathic pain, but the validity of these models is highly questionable. In this Review we critically discuss the problems and shortcomings of most published reports on chronic pain and we propose some strategies for future studies. We argue that the post-operative pain model is highly appealing since it opens perspectives for prospective longitudinal studies with repeated assessments and it enables control for many confounding factors, which hamper the interpretation of most current studies. We also plead for a multimodal imaging approach in which classic brain-activation studies are supplemented with genetic, neurochemistry, brain morphometry, and transcranial magnetic stimulation studies.

Biomedical Research↗

Brain imaging technologies: how, what, when and why?

OBJECTIVE: Innovations in physics and computing technology over the past two decades have provided a powerful means of exploring the overall structure and function of the brain using a range of computerised brain imaging technologies (BITs). These technologies offer the means to elucidate the patterns of pathophysiology underlying mental illness. The aim of this paper is to explore the current status and some of the future directions in the application of BITs to psychiatry. METHOD: Brain imaging technologies provide unambiguous measures of brain structure (computerised tomography and magnetic resonance imaging [MRI]) and also index complementary measures of when (electroencephalography, event related potentials, magnetoencephalography) and where (functional MRI, single photon emission computed tomography, positron emission tomography) aspects of brain activity occur. RESULTS: The structural technologies are primarily used to exclude a biological cause in cases of a suspected psychiatric disorder. The functional technologies show considerable potential to delineate subgroups of patients (that may have different treatment outcomes), and evaluate objectively the effects of treatment on the brain as a system. What is seldom emphasised in the literature are the numerous inconsistencies, the lack of specificity of findings and the simplistic interpretation of much of the data. CONCLUSION: Brain imaging technologies show considerable utility, but we are barely scratching the surface of this potential. Simplistic over-interpretation of results can be minimised by: replication of BIT findings, judicious combination of complementary methodologies, use of appropriate activation tasks, analysis with respect to large normative databases, control for performance, examining the data'beyond averaging', delineating clinical subtypes, exploring the severity of symptoms, specificity of findings and effects of treatment in the same patients. The technological innovation of BITs still far outstrips the sophistication of their use; it is essential that the meaning and mechanisms underlying BIT measures are always evaluated with respect to prevailing models of brain function across disciplines.

Brain↗

Lacrimal gland dosimetry for the brain imaging agent technetium-99m-HMPAO.

We calculated lacrimal gland dosimetry for the brain imaging agent 99mTc-HMPAO. One hundred thirty-eight patients were studied using a dedicated brain imaging device. Only 11% of the patients showed lacrimal gland uptake. For a 740-MBq (20 mCi) injected dose of 99mTc-HMPAO, the radiation exposure to the lacrimal glands is 10.2 mGy (1.02 rad), or 0.0138 mGy/MBq (0.051 rad/mCi). These values are five times lower than the ones reported by the manufacturer of HMPAO. As the dosimetry calculation is only for subjects showing 99mTc-HMPAO uptake in the lacrimal gland, the average radiation dose to all subjects is considerably lower, 1/10 of the estimated value.

Brain↗

Selecting girls with precocious puberty for brain imaging: validation of European evidence-based diagnosis rule.

OBJECTIVES: To test the sensitivities of recently published American recommendations predicting occult intracranial lesion (OICL) in girls with central precocious puberty (CPP), and to validate a previously derived diagnosis rule predicting OICL based on age at puberty onset and estradiol (E2) level. STUDY DESIGN: A retrospective, multicenter, hospital-based, cohort study was performed, including all girls with CPP seen in 7 centers in 6 European countries during given periods. American recommendations and the previously derived diagnosis rule were tested. RESULTS: Girls with CPP (n=443), including 35 with OICL, were recruited. American recommendations did not identify all OICL. Previously identified independent risk factors for OICL were confirmed: age <6 years (adjusted odds ratio 20.5; 95% CI, 8.1-52.1) and E2 >45th percentile (3.0; 95% CI, 1.3-7.1). The previously derived diagnosis rule had 100% sensitivity (95% CI, 90-100): all girls with OICL had either an age <6 years or an E2 level >45th percentile. The specificity was 39% (95% CI, 34-44). CONCLUSIONS: American recommendations do not seem safe to select European girls with CPP who require brain imaging. In settings where systematic brain imaging is not possible, the proposed diagnosis rule could safely help to avoid more than one third of unnecessary brain imaging.

Brain Diseases↗

Brain imaging in anxiety disorders.

Animal studies of the effects of stress on the brain have been used as a model for anxiety disorders. There is increasing evidence that brain areas involved in the stress response, including prefrontal cortex, hippocampus and amygdala, play a role in the symptoms of anxiety. In the past few years, brain imaging studies have been critical to advancing the understanding of the neural circuitry of anxiety disorders. Although some anxiety disorders may fit in with animal models of stress, both conceptually and in terms of imaging findings (e.g., post-traumatic stress and panic disorder), other anxiety disorders (e.g., obsessive-compulsive disorder) may require a more specific model to understand the neurobiology completely. This article reviews animal models for anxiety disorders, current brain imaging findings and outlines future directions for research in this area.

Animals↗