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Clinical utility of visualisation of nigrosome-1 in patients with Parkinson's disease.
Stezin, Albert; Naduthota, Rajini M; Botta, Ragasudha; Varadharajan, Shriram; Lenka, Abhishek; Saini, Jitender; Yadav, Ravi; Pal, Pramod Kumar.
Afiliación
  • Stezin A; Department of Clinical Neuroscience, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, 560029, Karnataka, India.
  • Naduthota RM; Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India.
  • Botta R; Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India.
  • Varadharajan S; Department of Clinical Neuroscience, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, 560029, Karnataka, India.
  • Lenka A; Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India.
  • Saini J; Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, 560029, Karnataka, India.
  • Yadav R; Department of Clinical Neuroscience, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, 560029, Karnataka, India.
  • Pal PK; Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, Karnataka, India.
Eur Radiol ; 28(2): 718-726, 2018 Feb.
Article en En | MEDLINE | ID: mdl-28779393
ABSTRACT

OBJECTIVE:

To determine the diagnostic characteristics of poor visualisation of nigrosome-1 as a neuroimaging biomarker in Parkinson's disease (PD) and to explore the relationship of poor visualisation of nigrosome-1 and clinical asymmetry.

METHODS:

High-resolution gradient-echo sequences of 67 patients with PD and 63 healthy controls were reviewed by two radiologists blinded to the clinical details. A three-tier classification system was used to categorise the scans based on the visualisation of nigrosome-1, and inter-rater reliability was calculated at each level of classification. Other diagnostic properties such as sensitivity, specificity and predictive values were calculated. The relationship between poor visualisation of nigrosome-1 and clinical asymmetry was also assessed.

RESULTS:

Poor visualisation of nigrosome-1 had high sensitivity (98.5%), specificity (93.6%), positive-predictive value (94.3%), negative-predictive value (98.3%), accuracy (96%) and inter-rater reliability (k = 0.75-0.92). Poorly visualised nigrosome-1 was significantly associated with higher motor asymmetry in the contralateral side in 64.8% of subjects (p = 0.004).

CONCLUSIONS:

Poor visualisation of nigrosome-1 in PD had good diagnostic properties as a neuroimaging biomarker in PD. There was also a significant agreement on clinical asymmetry and poor visualisation of nigrosome-1. KEY POINTS • Nigrosome-1 represents the largest collection of dopaminergic neurons in dorso-lateral substantia nigra. • Loss of nigrosome-1 is being studied as a biomarker in Parkinson's disease. • Visualisation of nigrosome-1 had good diagnostic properties as a biomarker. • There was a contralateral relationship between nigrosome-1 lateralisation and clinical asymmetry. • We also highlight the potential limitations of nigrosome-1 visualisation as a biomarker.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Sustancia Negra / Imagen por Resonancia Magnética / Neuroimagen Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Sustancia Negra / Imagen por Resonancia Magnética / Neuroimagen Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: India
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