Unraveling predictors affecting compliance to MRI inParkinson'sdisease

Claudia Cacciari, Clelia Pellicano, Luca Cravello, Francesca Assogna, Fabrizio Piras, Patrizia Paravia, Tommaso Gili, Mariangela Iorio, Alessandro Stefani, Mariangela Pierantozzi, Carlo Caltagirone, Francesco E. Pontieri, Gianfranco Spalletta

Research output: Contribution to journalArticle

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Abstract

Introduction: Magnetic resonance imaging (MRI) is a sensitive, noninvasive and widely available technique for studying Parkinson's disease (PD) from both research and clinical perspective. Several issues may physically impede execution of MRI. Moreover, the severity of motor or non-motor symptoms of PD might reduce compliance to MRI. Here we investigated predictors affecting compliance to MRI in PD patients. Methods: Two-hundred-thirty-six PD patients underwent clinical, neuropsychological and neuropsychiatric investigations. Accordingly to their ability/inability to perform MRI scan, they were divided into 3 groups. Forty-two patients had physical incompatibility to MRI (PI); 51 patients refused to undergo scan during the MRI evaluation session (RR); 143 patients accepted to undergo and successfully completed MRI (SP). Multivariate/Univariate Analyses of Variance, followed by Bonferroni's post-hoc comparisons, were used to assess differences among groups. To identify predictors of compliance to MRI scan in the whole PD sample (SP vs. RR+PI) we carried out a logistic regression analysis. Results: PI subjects were significantly older, had higher UPRDRS-III score, received lower daily dopamine agonist doses, and displayed worse cognitive performances than SP. RR subjects had significantly higher anxiety severity than SP. Lower daily dopamine agonist equivalents and higher anxiety scores were the significant whole predictors of not compliance to MRI in the logistic regression analysis. Conclusions: These results show that demographic, neuropsychological and neuropsychiatric features may limit compliance to MRI in PD, and provide valuable aid for setting and interpreting research and clinical MRI studies in PD.

Original languageEnglish
Pages (from-to)964-967
Number of pages4
JournalParkinsonism and Related Disorders
Volume21
Issue number8
DOIs
Publication statusPublished - Aug 1 2015

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Magnetic Resonance Imaging
Parkinson Disease
Dopamine Agonists
Anxiety
Logistic Models
Regression Analysis
Aptitude
Research
Analysis of Variance
Multivariate Analysis
Demography

Keywords

  • Anxiety
  • Cognition
  • MRI
  • Parkinson's disease

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Clinical Neurology
  • Neurology

Cite this

Unraveling predictors affecting compliance to MRI inParkinson'sdisease. / Cacciari, Claudia; Pellicano, Clelia; Cravello, Luca; Assogna, Francesca; Piras, Fabrizio; Paravia, Patrizia; Gili, Tommaso; Iorio, Mariangela; Stefani, Alessandro; Pierantozzi, Mariangela; Caltagirone, Carlo; Pontieri, Francesco E.; Spalletta, Gianfranco.

In: Parkinsonism and Related Disorders, Vol. 21, No. 8, 01.08.2015, p. 964-967.

Research output: Contribution to journalArticle

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AU - Piras, Fabrizio

AU - Paravia, Patrizia

AU - Gili, Tommaso

AU - Iorio, Mariangela

AU - Stefani, Alessandro

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N2 - Introduction: Magnetic resonance imaging (MRI) is a sensitive, noninvasive and widely available technique for studying Parkinson's disease (PD) from both research and clinical perspective. Several issues may physically impede execution of MRI. Moreover, the severity of motor or non-motor symptoms of PD might reduce compliance to MRI. Here we investigated predictors affecting compliance to MRI in PD patients. Methods: Two-hundred-thirty-six PD patients underwent clinical, neuropsychological and neuropsychiatric investigations. Accordingly to their ability/inability to perform MRI scan, they were divided into 3 groups. Forty-two patients had physical incompatibility to MRI (PI); 51 patients refused to undergo scan during the MRI evaluation session (RR); 143 patients accepted to undergo and successfully completed MRI (SP). Multivariate/Univariate Analyses of Variance, followed by Bonferroni's post-hoc comparisons, were used to assess differences among groups. To identify predictors of compliance to MRI scan in the whole PD sample (SP vs. RR+PI) we carried out a logistic regression analysis. Results: PI subjects were significantly older, had higher UPRDRS-III score, received lower daily dopamine agonist doses, and displayed worse cognitive performances than SP. RR subjects had significantly higher anxiety severity than SP. Lower daily dopamine agonist equivalents and higher anxiety scores were the significant whole predictors of not compliance to MRI in the logistic regression analysis. Conclusions: These results show that demographic, neuropsychological and neuropsychiatric features may limit compliance to MRI in PD, and provide valuable aid for setting and interpreting research and clinical MRI studies in PD.

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