Articles: treatment.
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Prognosis is a forecast of the likely course of a disease and its future implications on treatment outcomes. The significance of periodontal prognosis in clinical practice is evident by its influence on treatment planning, communication, and in the retrospective evaluation of treatment results. While there are multiple well-known prognosis systems reported in the periodontal dental literature, there is an absence of data on the actual use of prognosis assignment among practicing clinicians. The purpose of this study was to survey military periodontists regarding their utilization of periodontal prognosis and associated systems and to evaluate prognosis' influence on treatment planning as well as its implications on operational dental readiness. ⋯ Kwok and Caton and McGuire periodontal prognosis systems were utilized by the majority of respondents but differed in utilization by military service branch. Respondents considered periodontal presentation severity and treatment outcome predictability the most important factors when assigning a prognosis. There was minimal influence between operational dental readiness and periodontal prognosis. Future research will evaluate prognosis system utilization in a broader population and will assess the impact of system standardization in education and clinical practice.
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J. Neurol. Neurosurg. Psychiatr. · Nov 2024
Risk of fall with device-based advanced treatments in Parkinson's disease: a systematic review and network meta-analysis.
Deep brain stimulation (DBS) and infusion therapies are effective treatments for the motor complications of Parkinson's disease (PD), but less established is their role in fall prevention. This systematic review and network meta-analysis (NMA) aimed to evaluate the risk of falls associated with advanced therapies in PD. ⋯ CRD42023420637.
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Recent advancements in neuroimaging and machine learning have significantly improved our ability to diagnose and categorize isocitrate dehydrogenase (IDH)-wildtype glioblastoma, a disease characterized by notable tumoral heterogeneity, which is crucial for effective treatment. Neuroimaging techniques, such as diffusion tensor imaging and magnetic resonance radiomics, provide noninvasive insights into tumor infiltration patterns and metabolic profiles, aiding in accurate diagnosis and prognostication. Machine learning algorithms further enhance glioblastoma characterization by identifying distinct imaging patterns and features, facilitating precise diagnoses and treatment planning. ⋯ Future directions should focus on refining machine learning models, integrating emerging imaging techniques, and elucidating the complex interplay between imaging features and underlying molecular processes. This review highlights the pivotal role of neuroimaging and machine learning in glioblastoma research, offering invaluable noninvasive tools for diagnosis, prognosis prediction, and treatment planning, ultimately improving patient outcomes. These advances in the field promise to usher in a new era in the understanding and classification of IDH-wildtype glioblastoma.
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Improved imaging modalities have led to an increased detection of intracranial aneurysms, many of which are small. There is uncertainty in the appropriate management of tiny aneurysms. The objective of this study was to use a large, multi-institutional NeuroVascular Quality Initiative-Quality Outcomes Database (NVQI-QOD) to assess the frequency, safety, and efficacy of treatment of tiny, unruptured middle cerebral artery (MCA) aneurysms. ⋯ Treatment of tiny, unruptured MCA aneurysms is efficacious but may have a high rate of complications. Physicians should be cautious when deciding to treat tiny, unruptured MCA aneurysms.
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Patients receiving standard treatment for chronic subdural hematoma have a high risk of treatment failure. The effect of adjunctive middle meningeal artery embolization on the risk of treatment failure in this population remains unknown. ⋯ Among patients with symptomatic chronic subdural hematoma, adjunctive middle meningeal artery embolization resulted in a lower risk of treatment failure than standard treatment alone, without resulting in an increased incidence of disabling stroke or death in the short term. Further study of longer-term safety outcomes is warranted. (Funded by Balt USA; STEM ClinicalTrials.gov number, NCT04410146.).