NEUROLOGY PODCAST

"The Neurology Podcast” es un programa desarrollado por la revista Neurology y la American Academy of Neurology, que proporciona información práctica para neurólogos que les ayudará en su práctica clínica y mejorará la atención al paciente. Cada semana los oyentes pueden ganar créditos CME completando cuestionarios en línea en neurology.org

Neurology® Podcast October 2024 Recall: Approaches To Clinical Diagnosis of Parkinsonism

In the October 2024 replay features four episodes on approaches to clinical diagnosis of parkinsonism. The episode starts off with Dr. Colin Hoy discuss the concept of prodromal Parkinson disease and the ethical considerations surrounding its diagnosis. The episode leads into a conversation with Dr. Chris Gibbons discussing skin biopsies to detect phosphorylated α-synuclein. In the third episode Drs. Michiko K. Bruno and Lawrence Golbe about a practical diagnostic algorithm for atypical parkinsonian disorders Drs. Michiko K. Bruno and Lawrence Golbe discuss a practical diagnostic algorithm for atypical parkinsonian disorders. The episode concludes with Dr. Eduardo De Pablo-Fernández talking about the strengths of DAT imaging in diagnosing patients with Parkinsonian disorders.

Previous Podcasts:

The Ethical Landscape of Prodromal Parkinson Disease

Skin Biopsy Detection of Phosphorylated α-Synuclein

General Neurologist’s Practical Diagnostic Algorithm for Atypical Parkinsonian Disorders

Interpreting DAT Imaging Results in the Clinical Context

Article Links:

The Ethical Landscape of Prodromal Parkinson Disease 

Skin Biopsy Detection of Phosphorylated α-Synuclein in Patients With Synucleinopathies

A General Neurologist’s Practical Diagnostic Algorithm for Atypical Parkinsonian Disorders 

Neuropathologic Validation and Diagnostic Accuracy of Presynaptic Dopaminergic Imaging in the Diagnosis of Parkinsonism

Disclosures can be found at Neurology.org.

Deja una respuesta

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *

Este sitio usa Akismet para reducir el spam. Aprende cómo se procesan los datos de tus comentarios.