Automatic planning of MR-guided transcranial focused ultrasound treatment for essential tremor.

Introduction: Transcranial focused ultrasound therapy (tcFUS) offers precise thermal ablation for treating Parkinson's disease and essential tremor. However, the manual fine-tuning of fiber tracking and segmentation required for accurate treatment planning is time-consuming and demands expert knowledge of complex neuroimaging tools. This raises the question of whether a fully automated pipeline is feasible or if manual intervention remains necessary. Methods: We investigate the dependence on fiber tractography algorithms, segmentation approaches, and degrees of automation, specifically for essential tremor therapy planning. For that purpose, we compare an automatic pipeline with a manual approach that requires the manual definition of the target point and is based on FMRIB software library (FSL) and other open-source tools. Results: Our findings demonstrate the high feasibility of automatic fiber tracking and the automated determination of standard treatment coordinates. Employing an automatic fiber tracking approach and deep learning (DL)-supported standard coordinate calculation, we achieve anatomically meaningful results comparable to a manually performed FSL-based pipeline. Individual cases may still exhibit variations, often stemming from differences in region of interest (ROI) segmentation. Notably, the DL-based approach outperforms registration-based methods in producing accurate segmentations. Precise ROI segmentation proves crucial, surpassing the importance of fine-tuning parameters or selecting algorithms. Correct thalamus and red nucleus segmentation play vital roles in ensuring accurate pathway computation. Conclusion: This study highlights the potential for automation in fiber tracking algorithms for tcFUS therapy, but acknowledges the ongoing need for expert verification and integration of anatomical expertise in treatment planning.

Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke.

Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic processes. Here, we developed an artificial neural network (ANN) which allows automated detection of abnormal vessel findings without any a-priori restrictions and in <2 minutes. Pseudo-prospective external validation was performed in consecutive patients with suspected AIS from 4 different hospitals during a 6-month timeframe and demonstrated high sensitivity (≥87%) and negative predictive value (≥93%). Benchmarking against two CE- and FDA-approved software solutions showed significantly higher performance for our ANN with improvements of 25-45% for sensitivity and 4-11% for NPV (p ≤ 0.003 each). We provide an imaging platform ( https://stroke.neuroAI-HD.org ) for online processing of medical imaging data with the developed ANN, including provisions for data crowdsourcing, which will allow continuous refinements and serve as a blueprint to build robust and generalizable AI algorithms.

Transcranial high-intensity Magnetic Resonance-guided focused ultrasound (tcMRgFUS) - safety and impacts on tremor severity and quality of life.

INTRODUCTION: Transcranial high-intensity Magnetic Resonance-guided Focused Ultrasound (tcMRgFUS) is a technique for treatment of severe, medication-refractory Essential Tremor (ET). We summarize 1-year follow-up results focusing on clinical and safety parameters and impacts on quality of life. METHODS: A total of 45 patients with severe, medication-refractory ET were treated with tcMRgFUS thalamotomy. 37 patients completed the clinical follow-up of 12 months. Tremor severity, disability and quality of life were measured using the Clinical Rating Scale for Tremor (CRST), surface electromyography, the Quality of Life in Essential Tremor Questionnaire (QUEST) and the Short-Form-36 questionnaire (SF-36). Depressive symptoms and cognitive function were assessed using standardized questionnaires. Electrophysiological measurements were conducted to evaluate possible effects on central motor and sensory pathways. RESULTS: 1 year after tcMRgFUS the mean tremor improvement on a hand-specific subscore of the CRST was 82%. The QUEST and SF-36 revealed an improvement of mental quality of life, especially in activities of daily living and psychosocial function; depressive symptoms decreased significantly. There was no worsening of cognitive function overt within the self-rating questionnaire; no prolongation of sensory evoked potentials or central motor conduction time occurred. Side effects were mostly classified as mild (78%) and transient (62%). CONCLUSIONS: TcMRgFUS for severe tremor has a distinct impact on quality of life and neuropsychological symptoms. Self-assessments of cognitive function revealed stable outcomes 1 year after tcMRgFUS. No prolongation of sensory or motor conduction time were found in neurophysiology measures. Side effects occurred in 78% of treated patients but were mostly transient and mild.

Longitudinal Neurocognitive and Pulmonological Profile of Long COVID-19: Protocol for the COVIMMUNE-Clin Study.

BACKGROUND: There is a dearth of information about "brain fog," characterized by concentration, word-finding, or memory problems, which has been listed in the new World Health Organization provisional classification "U09.9 Post-COVID-19 Condition." Moreover, the extent to which these symptoms may be associated with neurological, pulmonary, or psychiatric difficulties is unclear. OBJECTIVE: This ongoing cohort study aims to carefully assess neurocognitive function in the context of the neurological, psychiatric, and pulmonary sequelae of SARS-CoV-2 infection among patients with asymptomatic/mild and severe cases of COVID-19 after remission, including actively recruited healthy controls. METHODS: A total of 150 participants will be included in this pilot study. The cohort will comprise patients who tested positive for SARS-CoV-2 infection with either an asymptomatic course or a mild course defined as no symptoms except for olfactory and taste dysfunction (n=50), patients who tested positive for SARS-CoV-2 infection with a severe disease course (n=50), and a healthy control group (n=50) with similar age and sex distribution based on frequency matching. A comprehensive neuropsychological assessment will be performed comprising nuanced aspects of complex attention, including language, executive function, verbal and visual learning, and memory. Psychiatric, personality, social and lifestyle factors, sleep, and fatigue will be evaluated. Brain magnetic resonance imaging, neurological and physical assessment, and pulmonological and lung function examinations (including body plethysmography, diffusion capacity, clinical assessments, and questionnaires) will also be performed. Three visits are planned with comprehensive testing at the baseline and 12-month visits, along with brief neurological and neuropsychological examinations at the 6-month assessment. Blood-based biomarkers of neurodegeneration will be quantified at baseline and 12-month follow-up. RESULTS: At the time of submission, the study had begun recruitment through telephone and in-person screenings. The first patient was enrolled in the study at the beginning of April 2021. Interim data analysis of baseline information is expected to be complete by December 2021 and study completion is expected at the end of December 2022. Preliminary group comparisons indicate worse word list learning, short- and long-delayed verbal recall, and verbal recognition in both patient cohorts compared with those of the healthy control group, adjusted for age and sex. Initial volumetric comparisons show smaller grey matter, frontal, and temporal brain volumes in both patient groups compared with those of healthy controls. These results are quite robust but are neither final nor placed in the needed context intended at study completion. CONCLUSIONS: To the best of our knowledge, this is the first study to include objective and comprehensive longitudinal analyses of neurocognitive sequelae of COVID-19 in an extreme group comparison stratified by disease severity with healthy controls actively recruited during the pandemic. Results from this study will contribute to the nascent literature on the prolonged effects of COVID-19 on neurocognitive performance via our coassessment of neuroradiological, neurological, pulmonary, psychiatric, and lifestyle factors. TRIAL REGISTRATION: International Clinical Trials Registry Platform DRKS00023806; https://trialsearch.who.int/Trial2.aspx?TrialID=DRKS00023806. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/30259.