ABSTRACT
Interest in transcranial MR imaging-guided focused ultrasound procedures has recently grown. These incisionless procedures enable precise focal ablation of brain tissue using real-time monitoring by MR thermometry. This article will provide an updated review on clinically applicable technical underpinnings and considerations of proton resonance frequency MR thermometry, the most common clinically used MR thermometry sequence.
Subject(s)
High-Intensity Focused Ultrasound Ablation , Thermometry , Humans , Magnetic Resonance Imaging/methods , High-Intensity Focused Ultrasound Ablation/methods , Ultrasonography , Thermometry/methods , ProtonsABSTRACT
This is a case report of an adult with chronic subdural hematoma (cSDH) who underwent endovascular treatment for middle meningeal artery (MMA) embolization. There was a prominent meningo-ophthalmic branch with an absence of an ophthalmic artery from the internal carotid artery. MMA embolization was performed utilizing particles with no complications and the resolution of the cSDH was within 4 months. This case report demonstrates that despite extreme variant anatomy, MMA embolization with particles is feasible, effective, and safe when appropriate techniques are used.
ABSTRACT
Cancers frequently metastasize to the spine, where they can cause severe morbidity, including pain, vertebral collapse, and paralysis. Accurate assessment and timely communication of actionable imaging findings are critical. We developed a scoring mechanism to capture the key imaging features of examinations performed to detect and characterize spinal metastases in patients with cancer. An automated system was developed to relay those findings to the institution's spine oncology team to expedite treatment. This report describes the scoring scheme, the automated results communication platform, and initial clinical experience with the system. The scoring system and communication platform enable prompt, imaging-directed care of patients with spinal metastases.
Subject(s)
Spinal Neoplasms , Humans , Spinal Neoplasms/diagnostic imaging , Spinal Neoplasms/therapy , Spine/diagnostic imaging , Diagnostic Imaging , Pain , Medical OncologyABSTRACT
BACKGROUND AND PURPOSE: Imaging and autopsy studies show intracranial gadolinium deposition in patients who have undergone serial contrast-enhanced MRIs. This observation has raised concerns when using contrast administration in patients who receive frequent MRIs. To address this, we implemented a contrast-conditional protocol wherein gadolinium is administered only for multiple sclerosis (MS) patients with imaging evidence of new disease activity on precontrast imaging. In this study, we explore the economic impact of our new MRI protocol. METHODS: We compared scanner time and Medicare reimbursement using our contrast-conditional methodology versus that of prior protocols where all patients received gadolinium. RESULTS: For 422 patients over 4 months, the contrast-conditional protocol amounted to 60% decrease in contrast injection and savings of approximately 20% of MRI scanner time. If the extra scanner time was used for performing MS follow-up MRIs in additional patients, the contrast-conditional protocol would amount to net revenue loss of $21,707 (â¼3.7%). CONCLUSIONS: Implementation of a new protocol to limit contrast in MS follow-up MRIs led to a minimal decrease in revenue when controlled for scanner time utilized and is outweighed by other benefits, including substantial decreased gadolinium administration, increased patient comfort, and increased availability of scanner time, which depending on type of studies performed could result in additional financial benefit.
Subject(s)
Gadolinium , Multiple Sclerosis , Aged , Contrast Media , Follow-Up Studies , Humans , Magnetic Resonance Imaging/methods , Medicare , Multiple Sclerosis/diagnostic imaging , United StatesABSTRACT
OBJECTIVES: While hemorrhage arising from ruptured arteriovenous malformations (AVMs) is usually evident on multidetector non-contrast computed tomography (NCCT), unruptured AVMs can be below the limits of detection. We performed a retrospective review of NCCT of patients with a proven diagnosis of unruptured AVM to determine if advances in CT technology have made them more apparent and what features predict their detection. MATERIAL AND METHODS: Twenty-five NCCTs met inclusion criteria of having angiography or MR proven AVM without hemorrhage, prior surgery, or other CNS disease. Demographic variables, clinical symptoms at presentation, abnormal CT imaging findings, attenuation of the superior sagittal sinus (SSS), and Spetzler-Martin grade of each AVM were recorded. We examined the relationship between AVM detection and SSS attenuation through Kruskal-Wallis test. Exploratory serial logistic principal components analysis was performed including demographics, symptoms, and CT features in the multivariate model. RESULTS: About 80% of the NCCTs showed an abnormality while 20% were normal. All those with an identifiable abnormality showed hyperdensity (80%). Logistic regression models indicate that clustered associations between several CT features, primarily calcifications, hyperdensity, and vascular prominence significantly predicted Spetzler-Martin grade (likelihood ratio 7.7, P = 0.006). SSS attenuation was significantly lower in subjects with occult AVMs when compared to those with CT abnormalities (median 47 vs. 55 HU, P < 0.04). CONCLUSION: Abnormal hyperdensity was evident in all detectable cases (80%) and multiple CT features were predictive of a higher Spetzler-Martin AVM grade. Moreover, SSS attenuation less than 50 HU was significantly correlated with a false-negative NCCT.
ABSTRACT
Intracranial vessel wall MR imaging (VWI) is increasingly being used as a valuable adjunct to conventional angiographic imaging techniques. This article will provide an updated review on intracranial VWI protocols and image interpretation. We review VWI technical considerations, describe common VWI imaging features of different intracranial vasculopathies and show illustrative cases. We review the role of VWI for differentiating among steno-occlusive vasculopathies, such as intracranial atherosclerotic plaque, dissections and Moyamoya disease. We also highlight how VWI may be used for the diagnostic work-up and surveillance of patients with vasculitis of the central nervous system and cerebral aneurysms.
Subject(s)
Cerebrovascular Disorders , Moyamoya Disease , Cerebrovascular Disorders/diagnostic imaging , Humans , Magnetic Resonance Angiography , Magnetic Resonance Imaging , Moyamoya Disease/diagnostic imagingABSTRACT
Automated quantitative and probabilistic medical image analysis has the potential to improve the accuracy and efficiency of the radiology workflow. We sought to determine whether AI systems for brain MRI diagnosis could be used as a clinical decision support tool to augment radiologist performance. We utilized previously developed AI systems that combine convolutional neural networks and expert-derived Bayesian networks to distinguish among 50 diagnostic entities on multimodal brain MRIs. We tested whether these systems could augment radiologist performance through an interactive clinical decision support tool known as Adaptive Radiology Interpretation and Education System (ARIES) in 194 test cases. Four radiology residents and three academic neuroradiologists viewed half of the cases unassisted and half with the results of the AI system displayed on ARIES. Diagnostic accuracy of radiologists for top diagnosis (TDx) and top three differential diagnosis (T3DDx) was compared with and without ARIES. Radiology resident performance was significantly better with ARIES for both TDx (55% vs 30%; P < .001) and T3DDx (79% vs 52%; P = 0.002), with the largest improvement for rare diseases (39% increase for T3DDx; P < 0.001). There was no significant difference between attending performance with and without ARIES for TDx (72% vs 69%; P = 0.48) or T3DDx (86% vs 89%; P = 0.39). These findings suggest that a hybrid deep learning and Bayesian inference clinical decision support system has the potential to augment diagnostic accuracy of non-specialists to approach the level of subspecialists for a large array of diseases on brain MRI.
Subject(s)
Deep Learning , Radiology , Bayes Theorem , Brain/diagnostic imaging , Humans , Magnetic Resonance ImagingABSTRACT
BACKGROUND: Although not standard of care, Cystic Fibrosis patients with recurrent hemoptysis occasionally have coil embolization of bronchial arteries. In the event of recanalization of these arteries in this specific subset of patients, the presence of indwelling coils makes the prospect of conventional particle embolization more difficult, preventing both adequate catheterization of the coiled segment and reflux of the particles. CASE PRESENTATION: In this report, we describe a case of bronchial artery embolization of a complex Cystic Fibrosis patient with massive hemoptysis from recanalized coiled bronchial arteries utilizing a Scepter Balloon Catheter® (Microvention Terumo, USA) in administration of the liquid embolic agent Onyx® (Medtronic, USA). CONCLUSIONS: The Scepter occlusion balloon catheter allowed for careful placement of the tip within the interstices of the pre-existing coils, allowing for Onyx injection directly into the coil mass without reflux, reconfirming the benefits of Onyx embolization in bronchial artery embolization and providing evidence that the Scepter occlusion balloon catheter should be added to the armamentarium of devices used in complex bronchial artery embolization for Cystic Fibrosis patients with massive hemoptysis.
ABSTRACT
OBJECTIVE: Patients with multiple sclerosis (MS) routinely undergo serial contrast-enhanced MRIs. Given concerns regarding tissue deposition of gadolinium-based contrast agents (GBCAs) and evidence that enhancement of lesions is only seen in patients with new disease activity on noncontrast imaging, we set out to implement a prospective quality improvement project whereby intravenous contrast would be reserved only for patients with evidence of new disease activity on noncontrast images. METHODS: To prospectively implement such a protocol, we leveraged our in-house computer-assisted detection (CAD) software and 3-D laboratory radiology technologists to perform real-time preliminary assessments of the CAD-processed T2 fluid attenuated inversion recovery (FLAIR) noncontrast images as a basis for deciding whether to inject contrast. Before implementation, we held multidisciplinary meetings with neurology, neuroradiology, and MR technologists and distributed surveys to objectively assess opinions and obstacles to clinical implementation. We evaluated reduction in GBCA utilization and technologist performance relative to final neuroradiologist interpretations. RESULTS: During a 2-month trial period, 153 patients were imaged under the new protocol. Technologists using the CAD software were able to identify patients with new or enlarging lesions on FLAIR images with 95% accuracy and 97% negative predictive value relative to final neuroradiologist interpretations, which allowed us to avoid the use of contrast and additional imaging sequences in 87% of patients. DISCUSSION: A multidisciplinary effort to implement a quality improvement project to limit contrast in MS patients receiving follow-up MRIs allowed for improved safety and cost by targeting patients that would benefit from the use of intravenous contrast in real-time.