Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments

Arman Rahmim, Yousef Salimpour, Saurabh Jain, Stephan A L Blinder, Ivan S. Klyuzhin, Gwenn Smith, Zoltan Mari, Vesna Sossi

Research output: Contribution to journalArticle

Abstract

Dopamine transporter (DAT) SPECT imaging is increasingly utilized for diagnostic purposes in suspected Parkinsonian syndromes. We performed a cross-sectional study to investigate whether assessment of texture in DAT SPECT radiotracer uptake enables enhanced correlations with severity of motor and cognitive symptoms in Parkinson's disease (PD), with the long-term goal of enabling clinical utility of DAT SPECT imaging, beyond standard diagnostic tasks, to tracking of progression in PD. Quantitative analysis in routine DAT SPECT imaging, if performed at all, has been restricted to assessment of mean regional uptake. We applied a framework wherein textural features were extracted from the images. Notably, the framework did not require registration to a common template, and worked in the subject-native space. Image analysis included registration of SPECT images onto corresponding MRI images, automatic region-of-interest (ROI) extraction on the MRI images, followed by computation of Haralick texture features. We analyzed 141 subjects from the Parkinson's Progressive Marker Initiative (PPMI) database, including 85 PD and 56 healthy controls (HC) (baseline scans with accompanying 3. T MRI images). We performed univariate and multivariate regression analyses between the quantitative metrics and different clinical measures, namely (i) the UPDRS (part III - motor) score, disease duration as measured from (ii) time of diagnosis (DD-diag.) and (iii) time of appearance of symptoms (DD-sympt.), as well as (iv) the Montreal Cognitive Assessment (MoCA) score. For conventional mean uptake analysis in the putamen, we showed significant correlations with clinical measures only when both HC and PD were included (Pearson correlation r = -. 0.74, p-value.

Original languageEnglish (US)
JournalNeuroImage: Clinical
DOIs
StateAccepted/In press - Jan 29 2016

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Dopamine Plasma Membrane Transport Proteins
Single-Photon Emission-Computed Tomography
Parkinson Disease
Neurobehavioral Manifestations
Putamen
Parkinsonian Disorders
Multivariate Analysis
Cross-Sectional Studies
Regression Analysis
Databases

Keywords

  • DAT SPECT
  • Disease progression
  • Heterogeneity
  • Parkinson's disease
  • Textural features

ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging
  • Cognitive Neuroscience
  • Neurology

Cite this

Application of texture analysis to DAT SPECT imaging : Relationship to clinical assessments. / Rahmim, Arman; Salimpour, Yousef; Jain, Saurabh; Blinder, Stephan A L; Klyuzhin, Ivan S.; Smith, Gwenn; Mari, Zoltan; Sossi, Vesna.

In: NeuroImage: Clinical, 29.01.2016.

Research output: Contribution to journalArticle

Rahmim, Arman ; Salimpour, Yousef ; Jain, Saurabh ; Blinder, Stephan A L ; Klyuzhin, Ivan S. ; Smith, Gwenn ; Mari, Zoltan ; Sossi, Vesna. / Application of texture analysis to DAT SPECT imaging : Relationship to clinical assessments. In: NeuroImage: Clinical. 2016.
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