31 research outputs found
Imaging of Spinal Metastatic Disease
Metastases to the spine can involve the bone, epidural space, leptomeninges, and spinal cord. The spine is the third most common site for metastatic disease, following the lung and the liver. Approximately 60–70% of patients with systemic cancer will have spinal metastasis. Materials/Methods. This is a review of the imaging techniques and typical imaging appearances of spinal metastatic disease. Conclusions. Awareness of the different manifestations of spinal metastatic disease is essential as the spine is the most common site of osseous metastatic disease. Imaging modalities have complimentary roles in the evaluation of spinal metastatic disease. CT best delineates osseous integrity, while MRI is better at assessing soft tissue involvement. Physiologic properties, particularly in treated disease, can be evaluated with other imaging modalities such as FDG PET and advanced MRI sequences. Imaging plays a fundamental role in not only diagnosis but also treatment planning of spinal metastatic disease
Correlation of foraminal area and response to cervical nerve root injections
Ray et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 3.0., which permits unrestricted use, distribution, and reproduction in any medium
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause of
cancer-related death in children. The five-year survival rate for high-grade
gliomas in children is less than 20\%. Due to their rarity, the diagnosis of
these entities is often delayed, their treatment is mainly based on historic
treatment concepts, and clinical trials require multi-institutional
collaborations. The MICCAI Brain Tumor Segmentation (BraTS) Challenge is a
landmark community benchmark event with a successful history of 12 years of
resource creation for the segmentation and analysis of adult glioma. Here we
present the CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge, which
represents the first BraTS challenge focused on pediatric brain tumors with
data acquired across multiple international consortia dedicated to pediatric
neuro-oncology and clinical trials. The BraTS-PEDs 2023 challenge focuses on
benchmarking the development of volumentric segmentation algorithms for
pediatric brain glioma through standardized quantitative performance evaluation
metrics utilized across the BraTS 2023 cluster of challenges. Models gaining
knowledge from the BraTS-PEDs multi-parametric structural MRI (mpMRI) training
data will be evaluated on separate validation and unseen test mpMRI dataof
high-grade pediatric glioma. The CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023
challenge brings together clinicians and AI/imaging scientists to lead to
faster development of automated segmentation techniques that could benefit
clinical trials, and ultimately the care of children with brain tumors
Tractography Mapping for Dissimilarity Space across Subjects
Structural brain connectivity can be studied with the
help of diffusion magnetic resonance imaging (dMRI), through
which the pathways of the neuronal axons of the white matter
can be reconstructed at the millimeter scale. Such connectivity
structure, called deterministic tractography, is represented as a
set of polylines in 3D space, called streamlines. Streamlines have
a non-homogeneous number of points and, for this reason, the
dissimilarity representation (DR) has been proposed as accurate
Euclidean embedding. By providing a vectorial representation of
the streamlines, DR enables the use of most machine learning
and pattern recognition algorithms for connectivity analysis.
However, the DR is subject-specific and thus applies only to
intra-subject analysis, while neuroscientific studies often address
inter-subject comparisons. For this reason, in this work, we
propose an algorithmic solution to build a common vectorial
representation for streamlines across subjects. The core idea is
based on finding a small set of corresponding streamlines, a
problem known as streamline mapping.
With experiments on a task of segmentation, we show that
the quality of alignment of tractographies, through the common
vectorial representation, is even superior to that of the traditional
linear registration
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MR imaging characteristics of oligodendroglial tumors with assessment of 1p/19q deletion status
Patients with oligodendrogliomas with allelic loss of chromosomal arm 1p and 19q have been shown, especially with anaplastic oligodendrogliomas, to have both a better initial and long-term response to chemotherapy as well as an improved overall survival. Effective treatment of patients with brain tumors requires accurate diagnostic techniques. MR imaging can be used to help differentiate between low- and high-grade tumors. We hypothesize that certain MR imaging characteristics can be used to differentiate between patients with and without 1p and 19q deletion.Using the clinical database at the University of Virginia Neuro-Oncology Center, we identified adult patients with grade II and III oligodendroglial tumors who underwent treatment from 2002 to 2007. Age at diagnosis, gender, tumor grade, chromosomal deletion status, duration of follow-up, and MR imaging characteristics were analyzed; the latter was read by a blinded neuroradiologist.One hundred and four patients met the inclusion criteria. Of these patients, 44 manifested 1p/19q co-deletion and 60 patients lacked this deletion. The greatest cross-sectional area (mean) of the tumor measured 23.4 cm2 for patients with the co-deletion and 31.7 cm2 for patients with intact alleles (p = 0.008). In addition, inner table thinning was noted directly adjacent to seven tumors with intact 1p and 19q alleles and in no tumors with the 1p/19q co-deletion (p = 0.020). Amongst patients with pure oligodendrogliomas, those with 1p/19q co-deletion had tumors more often confined to a single lobe as compared with those patients without the co-deletion (p = 0.023). Finally, tumors with intact alleles were more often found in the temporal lobe (45.0%) as compared with co-deleted tumors (22.7%) (p = 0.011).MR imaging is a valuable imaging modality for differentiating between oligodendrogliomas with or without the 1p/19q deletion. While imaging will never replace definitive tissue diagnosis, imaging characteristics such as tumor size, location, and overlying skull thinning can assist clinicians in assessing patients with oligodendroglial tumors prior to surgical or medical intervention
Low b-value diffusion weighted imaging is promising in the diagnosis of brain death and hypoxic-ischemic injury secondary to cardiopulmonary arrest
Abstract Background Cardiorespiratory arrest can result in a spectrum of hypoxic ischemic brain injury leading to global hypoperfusion and brain death (BD). Because up to 40% of patients with BD are viable organ donors, avoiding delayed diagnosis of this condition is critical. High b-value diffusion weighted imaging (DWI) measures primarily molecular self-diffusion; however, low b-values are sensitive to perfusion. We investigated the feasibility of low b-value DWI in discriminating the global hypoperfusion of BD and hypoxic ischemic encephalopathy (HIE). Methods We retrospectively reviewed cardiorespiratory arrest subjects with a diagnosis of HIE or BD. Inclusion criteria included brain DWI acquired at both low (50 s/mm2) and high (1000–2000 s/mm2) b-values. Automated segmentation was used to determine mean b50 apparent diffusion coefficient (ADC) values in gray and white matter regions. Normal subjects with DWI at both values were used as age- and sex-matched controls. Results We evaluated 64 patients (45 with cardiorespiratory arrest and 19 normal). Cardiorespiratory arrest patients with BD had markedly lower mean b50 ADC in gray matter regions compared with HIE (0.70 ± 0.18 vs. 1.95 ± 0.25 × 10−3 mm2/s, p < 0.001) and normal subjects (vs. 1.79 ± 0.12 × 10−3 mm2/s, p < 0.001). HIE had higher mean b50 ADC compared with normal (1.95 ± 0.25 vs. 1.79 ± 0.12 × 10−3 mm2/s, p = 0.016). There was wide separation of gray matter ADC values in BD subjects compared with age matched normal and HIE subjects. White matter values were also markedly decreased in the BD population, although they were less predictive than gray matter. Conclusion Low b-value DWI is promising for the discrimination of HIE with maintained perfusion and brain death in cardiorespiratory arrest
An Outcomes-Based Grading Scale for the Evaluation of Cerebral Aneurysms Treated With Flow Diversion
Object Despite the popularity of flow-diverting stents for the treatment of cerebral aneurysms, there is no widely accepted scale for the characterization of results. We present an outcomes-based grading scale that considers factors related to failure of flow diversion. Methods The grading scale was developed using the results from consecutive patients at two institutions who were treated with flow diversion for a cerebral aneurysm. The initial treatment results were graded on patient, aneurysm, and treatment characteristics. A 6-point grading scale was developed based on these data. Results One hundred and seventy-one patients were included in the patient cohort. When compared by multivariate analysis with patients without residuals, patients with aneurysm residuals were found to be older (age ≥60 €...years, p=0.01, OR 1.17, 95% CI 1.03 to 1.33), to have larger aneurysms (size ≥15 €...mm, p\u3c0.01, OR 1.38, 95% CI 1.17 to 1.62), to have aneurysms with associated side branches (p=0.02, OR 1.17, 95% CI 1.03 to 1.33), and to have a post-treatment Raymond score of 2 or 3 (p=0.01, OR 1.28, 95% CI 1.06 to 1.56). Using the Raymond score (1-3) as the foundation for the grading scale, additional points (0 or 1) were given for the other three identified factors, creating a 6-point scale. We found that patients with residual aneurysms had statistically higher final tabulated scores (p\u3c0.01). Conclusions We propose a novel straightforward outcomes-based scale to characterize results after flow diversion treatment of cerebral aneurysms. This scale may provide the basis for the common reporting of results in future studies
Results of an International Survey on Spinal Imaging by the ASNR/ASSR/ESNR/ESSR “Nomenclature 3.0” Working Group
AbstractOur goal was to determine if “Nomenclature 2.0,” the classification of lumbar disk pathology consensus, should be updated. We conducted a social media and e-mail-based survey on preferences regarding the use of classification on magnetic resonance spine reporting. Members of the European Society of Neuroradiology, European Society of Musculoskeletal Radiology, American Society of Neuroradiology, and American Society of Spine Radiology received a 15-question online survey between February and March 2022. A total of 600 responses were received from 63 countries. The largest number of responses came from Italy and the United States. We found that 71.28% of respondents used Nomenclature 2.0, Classification of Lumbar Disk Pathology. But classification on stenosis is used less often: 53.94% and 60% of respondents do not use any classification of spinal canal stenosis and foraminal stenosis, respectively. When queried about which part of Nomenclature needs improving, most respondents asked for a Structured Reporting Template (SRT), even though 58.85% of respondents do not currently use any template and 54% routinely use a clinical information questionnaire. These results highlight the importance of an updated Nomenclature 3.0 version that integrates the classifications of lumbar disk disease and spinal canal and foraminal stenosis. Further attention should also be directed toward developing a robust endorsed SRT.</jats:p