A. John Tsiouris

Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map

The magnetic susceptibility of tissue can be determined in gradient echo MRI by deconvolving the local magnetic field with the magnetic field generated by a unit dipole. This Quantitative Susceptibility Mapping (QSM) problem is unfortunately ill-posed. By transforming the problem to the Fourier domain, the susceptibility appears to be undersampled only at points where the dipole kernel is zero, suggesting that a modest amount of additional information may be sufficient for uniquely resolving susceptibility. A Morphology Enabled Dipole Inversion (MEDI) approach is developed that exploits the structural consistency between the susceptibility map and the magnitude image reconstructed from the same gradient echo MRI. Specifically, voxels that are part of edges in the susceptibility map but not in the edges of the magnitude image are considered to be sparse. In this approach an L1 norm minimization is used to express this sparsity property. Numerical simulations and phantom experiments are performed to demonstrate the superiority of this L1 minimization approach over the previous L2 minimization method. Preliminary brain imaging results in healthy subjects and in patients with intracerebral hemorrhages illustrate that QSM is feasible in practice.

A novel background field removal method for MRI using projection onto dipole fields (PDF).

For optimal image quality in susceptibility‐weighted imaging and accurate quantification of susceptibility, it is necessary to isolate the local field generated by local magnetic sources (such as iron) from the background field that arises from imperfect shimming and variations in magnetic susceptibility of surrounding tissues (including air). Previous background removal techniques have limited effectiveness depending on the accuracy of model assumptions or information input. In this article, we report an observation that the magnetic field for a dipole outside a given region of interest (ROI) is approximately orthogonal to the magnetic field of a dipole inside the ROI. Accordingly, we propose a nonparametric background field removal technique based on projection onto dipole fields (PDF). In this PDF technique, the background field inside an ROI is decomposed into a field originating from dipoles outside the ROI using the projection theorem in Hilbert space. This novel PDF background removal technique was validated on a numerical simulation and a phantom experiment and was applied in human brain imaging, demonstrating substantial improvement in background field removal compared with the commonly used high‐pass filtering method. Copyright

Noise Effects in Various Quantitative Susceptibility Mapping Methods

Various regularization methods have been proposed for single-orientation quantitative susceptibility mapping (QSM), which is an ill-posed magnetic field to susceptibility source inverse problem. Noise amplification, a major issue in inverse problems, manifests as streaking artifacts and quantification errors in QSM and has not been comparatively evaluated in these algorithms. In this paper, various QSM methods were systematically categorized for noise analysis. Six representative QSM methods were selected from four categories: two non-Bayesian methods with alteration or approximation of the dipole kernel to overcome the ill conditioning; four Bayesian methods using a general mathematical prior or a specific physical structure prior to select a unique solution, and using a data fidelity term with or without noise weighting. The effects of noise in these QSM methods were evaluated by reconstruction errors in simulation and image quality in 50 consecutive human subjects. Bayesian QSM methods with noise weighting consistently reduced root mean squared errors in numerical simulations and increased image quality scores in the human brain images, when compared to non-Bayesian methods and to corresponding Bayesian methods without noise weighting (p ≤ 0.001). In summary, noise effects in QSM can be reduced using Bayesian methods with proper noise weighting.

Endoscopic Endonasal Resection of Suprasellar Meningiomas: The Importance of Case Selection and Experience in Determining Extent of Resection, Visual Improvement, and Complications

OBJECTIVE Suprasellar meningiomas have been resected via various open cranial approaches. During the past 2 decades, the endoscopic endonasal approach has been shown to be an option in selected patients. We wished to examine the learning curve for parameters such as extent of resection, visual outcome, and complications. METHODS We retrospectively reviewed a consecutive series of patients in whom suprasellar meningiomas were resected via an endonasal endoscopic approach between 2005 and 2013 at our institution. After June 2008, our surgical technique matured. Using this time point, we divided our case series into 2 chronological groups, group 1 (n=8) and group 2 (n=12). This cut-off also was used to examine rates of gross total resection (GTR) and visual improvement. Case selection criteria in successful and unsuccessful cases were examined to determine important principals for case selection. RESULTS Mean patient age at surgery was 57.05 years (range, 31-81 years). Mean tumor volume was 11.98 cm3 (range, 0.43-28.93 cm3). Overall, GTR was achieved in 80%, and vision improved or normalized in 14 patients (82.4%) with no occurrence of postoperative visual deterioration. Rates of GTR increased from 62.5% (group 1) to 91.7% (group 2). Visual improvement increased from 75% (group 1) to 88.9% (group 2). Rates of cerebrospinal fluid leak were 25% in group 1 and 0% in group 2. Average follow-up was 51.5 month (range, 3-96 months). CONCLUSION Once the learning curve is overcome, surgeons performing endonasal endoscopic resection of suprasellar meningiomas can achieve high rates of GTR with low complication rates in well-selected cases.

Imaging evidence and recommendations for traumatic brain injury: conventional neuroimaging techniques.

Imaging plays an essential role in identifying intracranial injury in patients with traumatic brain injury (TBI). The goals of imaging include (1) detecting injuries that may require immediate surgical or procedural intervention, (2) detecting injuries that may benefit from early medical therapy or vigilant neurologic supervision, and (3) determining the prognosis of patients to tailor rehabilitative therapy or help with family counseling and discharge planning. In this article, the authors perform a review of the evidence on the utility of various imaging techniques in patients presenting with TBI to provide guidance for evidence-based, clinical imaging protocols. The intent of this article is to suggest practical imaging recommendations for patients presenting with TBI across different practice settings and to simultaneously provide the rationale and background evidence supporting their use. These recommendations should ultimately assist referring physicians faced with the task of ordering appropriate imaging tests in particular patients with TBI for whom they are providing care. These recommendations should also help radiologists advise their clinical colleagues on appropriate imaging utilization for patients with TBI.

Quantitative Susceptibility Mapping of the Motor Cortex in Amyotrophic Lateral Sclerosis and Primary Lateral Sclerosis

OBJECTIVE The diagnosis of amyotrophic lateral sclerosis (ALS) and primary lateral sclerosis (PLS) is often difficult because of a lack of disease biomarkers. The purpose of this study was to investigate quantitative susceptibility mapping (QSM) of the motor cortex as a potential quantitative biomarker for the diagnosis of ALS and PLS. MATERIALS AND METHODS From a retrospective database, QSM images of 16 patients with upper motor neuron disease (nine men [56%], seven women; mean age, 56.3 years; 12 with ALS, four with PLS) and 23 control patients (13 men [56%], 10 women; mean age, 56.6 years) were reviewed. Two neuroradiologists, blinded to diagnosis, qualitatively assessed QSM, T2- and T2*-weighted, and T2-weighted FLAIR images. Relative motor cortex susceptibility was calculated by subtraction of adjacent white matter and CSF signal intensity from mean motor cortex susceptibility on the axial image most representative of the right- or left-hand lobule, and ROC analysis was performed. The Fisher exact and Student t tests were used to evaluate for statistical differences between the groups. RESULTS Qualitatively, QSM had greater diagnostic accuracy than T2-weighted, T2*-weighted, or T2-weighted FLAIR imaging for the diagnosis of ALS and PLS. Quantitatively, relative motor cortex susceptibility was found to be significantly greater in patients with motor neuron disease than in control patients (46.0 and 35.0 ppb; p < 0.001). ROC analysis showed an AUC of 0.88 (p < 0.0001) and an optimal cutoff value of 40.5 ppb for differentiating control patients from patients with ALS or PLS (sensitivity, 87.5%; specificity, 87.0%). CONCLUSION QSM is a sensitive and specific quantitative biomarker of iron deposition in the motor cortex in ALS and PLS.

Erratum to: Superselective intraarterial cerebral infusion of cetuximab after osmotic blood/brain barrier disruption for recurrent malignant glioma: phase I study

Objective To establish a maximum tolerated dose of superselective intraarterial cerebral infusion (SIACI) of Cetuximab after osmotic disruption of the blood–brain barrier (BBB) with mannitol, and examine safety of the procedure in patients with recurrent malignant glioma.

Utilization Guidelines for Reducing Radiation Exposure in the Evaluation of Aneurysmal Subarachnoid Hemorrhage: A Practice Quality Improvement Project

OBJECTIVE The purpose of this study was to reduce the cumulative radiation exposure from CT of patients with aneurysmal subarachnoid hemorrhage. MATERIALS AND METHODS Baseline data on 30 patients with aneurysmal subarachnoid hemorrhage were collected retrospectively for all CT examinations of the head performed throughout the hospital course. Radiation exposure estimates were obtained by recording dose-length products for each examination. As a departmental practice quality improvement project, an imaging protocol was implemented that included utilization guidelines to reduce radiation exposure in CTA and CT perfusion examinations performed to detect vasospasm in patients with aneurysmal subarachnoid hemorrhage. Ten months after implementation of this protocol, data on 30 additional patients were analyzed. Means, medians, and SD estimates were compared for cumulative radiation exposure and absolute numbers of each examination. RESULTS Sixty patients were included in the study: 30 patients at baseline and 30 patients after implementation of the quality improvement plan. These patients underwent 435 CT examinations: 248 examinations at baseline and 187 examinations with the new protocol. With the new algorithm, the mean number of CT examinations per patient was 5.8 compared with 7.8 at baseline, representing a decrease of 25.6%. The number of CT perfusion examinations per patient decreased 32.1%. Overall, there was a 12.1% decrease in cumulative radiation exposure (p > 0.05). CONCLUSION With the structured imaging algorithm, the cumulative radiation exposure and number of CT examinations of the head decreased among patients with aneurysmal subarachnoid hemorrhage because utilization guidelines defined the appropriate imaging time points for detection of vasospasm. Application of these methods to other patient populations with high use of CT may reduce cumulative radiation exposure while the clinical benefits of imaging are maintained.

The Potential for Medicolegal Abuse: Diffusion Tensor Imaging in Traumatic Brain Injury

This article discusses the nature and value of diffusion tensor imaging (DTI) in medicolegal settings. Although the technology and theory that supports DTI is provocative and exciting, we argue that expert testimony that confidently relies on DTI is highly problematic. In this article, we discuss the current limitations inherent in acquiring and analyzing DTI data; list problems especially with specificity that limit DTIs appropriateness in single-subject instances; and provide a brief history of the misuse and abuse of neuroimaging in mental illness and brain injury. We conclude with a plea for healthy skepticism regarding the value of these latest modalities in medicolegal settings, especially given the nature of their frequently visually spectacular impact on judges and jurors.

Glioblastoma-arteriovenous fistula complex: imaging characteristics and treatment considerations

Although a certain degree of arteriovenous shunting may be expected in glioblastoma, to our knowledge, the coexistence of a glioblastoma and arteriovenous fistula has not been previously reported. In this case report, we present such a lesion and discuss its diagnosis with a multimodal imaging approach. Additionally, we discuss treatment considerations for such a lesion.