Tahedl, Marlene and Murad, Aizuri and Lope, Jasmin and Hardiman, Orla and Bede, Peter (2021) Evaluation and categorisation of individual patients based on white matter profiles: Single-patient diffusion data interpretation in neurodegeneration. JOURNAL OF THE NEUROLOGICAL SCIENCES, 428: 117584. ISSN 0022-510X, 1878-5883
Full text not available from this repository. (Request a copy)Abstract
The majority of radiology studies in neurodegenerative conditions infer group-level imaging traits from group comparisons. While this strategy is helpful to define phenotype-specific imaging signatures for academic use, the meaningful interpretation of single scans of individual subjects is more important in everyday clinical practice. Accordingly, we present a computational method to evaluate individual subject diffusion tensor data to highlight white matter integrity alterations. Fifty white matter tracts were quantitatively evaluated in 132 patients with amyotrophic lateral sclerosis (ALS) with respect to normative values from 100 healthy subjects. Fractional anisotropy and radial diffusivity alterations were assessed individually in each patient. The approach was validated against standard tract-based spatial statistics and further scrutinised by the assessment of 78 additional data sets with a blinded diagnosis. Our z-score-based approach readily detected white matter degeneration in individual ALS patients and helped to categorise single subjects with a 'blinded diagnosis' as likely 'ALS' or 'control'. The group-level inferences from the z-score-based approach were analogous to the standard TBSS output maps. The benefit of the z-score-based strategy is that it enables the interpretation of single DTI datasets as well as the comparison of study groups. Outputs can be summarised either visually by highlighting the affected tracts, or, listing the affected tracts in a text file with reference to normative data, making it particularly useful for clinical applications. While individual diffusion data cannot be visually appraised, our approach provides a viable framework for single-subject imaging data interpretation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | AMYOTROPHIC-LATERAL-SCLEROSIS; MOTOR-NEURON DISEASE; DIAGNOSTIC CLASSIFICATION; PSEUDOBULBAR AFFECT; ALS; PATTERNS; MRI; DEGENERATION; INVOLVEMENT; PATHOLOGY; Amyotrophic lateral sclerosis; Neuroimaging; MRI; Diagnostic classification; Biomarker; Precision medicine |
| Subjects: | 100 Philosophy & psychology > 150 Psychology 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie Human Sciences > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 13 Sep 2022 12:54 |
| Last Modified: | 13 Sep 2022 12:54 |
| URI: | https://pred.uni-regensburg.de/id/eprint/47219 |
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