Literature DB >> 21370257

Can spiral analysis predict the FP-CIT SPECT scan result in tremulous patients?

Nin P S Bajaj1, Maria Knöbel, Vamsi Gontu, Peter G Bain.   

Abstract

BACKGROUND: Previous studies have compared the accuracy of spiral analysis in distinguishing essential tremor (ET) from PD. In this study, we have used this technique to distinguish cases of tremulous PD (TDPD) (N = 24) from tremulous parkinsonian subjects without evidence of dopaminergic deficit (N = 41).
METHODS: All patients were characterized on clinical and (123)I-N-ω-fluoro-propyl-2ß-carbomethoxy-3ß-(4-iodophenyl) nortropane ([(123)I] FP-CIT) SPECT scan data, which were concordant in every case. All analyses were carried out by observers blinded to the clinical details and supplied with just the spiral drawings, from which tremor severity (TS), 3-turn spiral diameter (3TD), and spiral density (SD) were measured.
RESULTS: The spirals drawn by TDPD cases had significantly smaller 3TD (P = 0.029) and greater SD (P = 0.0082) than those with normal FP-CIT scans. There was no significant difference in the TS between the two groups (P = 0.11). The sensitivity and specificity of TS were 62.5% and 65.0%, 3TD were 75% and 56.7%, and SD were 30.4% and 82.5%, respectively, in predicting the correct classification. Further analyses combining these factors into pairs, showed that the respective sensitivities and specificities of (1) TS × 3TD were 75.0% and 40.0%, (2) TS/SD were 56% and 70.0%, and (3) 3TD/SD were 87.0% and 40.0%. DISCUSSION: There are significant differences in the 3TD and SD of spirals drawn by tremulous patients with normal versus abnormal FP-CIT scans. Spiral analysis may have some clinical value in helping to distinguish tremulous parkinsonian patients with normal presynaptic dopaminergic imaging from tremulous PD patients, providing results similar to those reported for expert movement disorder neurologists using standardized videotaped examinations.
Copyright © 2011 Movement Disorder Society.

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Year:  2011        PMID: 21370257     DOI: 10.1002/mds.23507

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  4 in total

1.  Accuracy of subjective and objective handwriting assessment for differentiating Parkinson's disease from tremulous subjects without evidence of dopaminergic deficits (SWEDDs): an FP-CIT-validated study.

Authors:  N P S Bajaj; L Wang; V Gontu; D G Grosset; P G Bain
Journal:  J Neurol       Date:  2012-04-25       Impact factor: 4.849

2.  On the use of histograms of oriented gradients for tremor detection from sinusoidal and spiral handwritten drawings of people with Parkinson's disease.

Authors:  João Paulo Folador; Maria Cecilia Souza Santos; Luiza Maire David Luiz; Luciane Aparecida Pascucci Sande de Souza; Marcus Fraga Vieira; Adriano Alves Pereira; Adriano de Oliveira Andrade
Journal:  Med Biol Eng Comput       Date:  2021-01-07       Impact factor: 2.602

3.  Are smartphones and machine learning enough to diagnose tremor?

Authors:  Arjun Balachandar; Musleh Algarni; Lais Oliveira; Luca Marsili; Aristide Merola; Andrea Sturchio; Alberto J Espay; William D Hutchison; Aniruddh Balasubramaniam; Frank Rudzicz; Alfonso Fasano
Journal:  J Neurol       Date:  2022-07-21       Impact factor: 6.682

4.  Historical Analyses of Disordered Handwriting: Perspectives on Early 20th-Century Material From a German Psychiatric Hospital.

Authors:  Markus Schiegg; Deborah Thorpe
Journal:  Writ Commun       Date:  2016-12-21
  4 in total

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