Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism.
Purpose: Up to 25% of patients diagnosed as idiopathic Parkinson's disease (IPD) have an atypical parkinsonian syndrome (APS). We had previously validated an automated image-based algorithm to discriminate between IPD, multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). While th...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 11; pp. 3522 - 3530 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152447013&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152447013 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: Oct2021 vid: 48 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 152447013 149727439 10.1007/s00259-021-05302-6 152447013 ppf: 3522 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism. aug: au: Schindlbeck, Katharina A. Gupta, Deepak K. Tang, Chris C. O'Shea, Sarah A. Poston, Kathleen L. Choi, Yoon Young Dhawan, Vijay Vonsattel, Jean-Paul Fahn, Stanley Eidelberg, David affil: Center for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, 11030, Manhasset, NY, USA sug: ab: Purpose: Up to 25% of patients diagnosed as idiopathic Parkinson's disease (IPD) have an atypical parkinsonian syndrome (APS). We had previously validated an automated image-based algorithm to discriminate between IPD, multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). While the algorithm was accurate with respect to the final clinical diagnosis after long-term expert follow-up, its relationship to the initial referral diagnosis and to the neuropathological gold standard is not known. Methods: Patients with an uncertain diagnosis of parkinsonism were referred for 18F-fluorodeoxyglucose (FDG) PET to classify patients as IPD or as APS based on the automated algorithm. Patients were followed by a movement disorder specialist and subsequently underwent neuropathological examination. The image-based classification was compared to the neuropathological diagnosis in 15 patients with parkinsonism. Results: At the time of referral to PET, the clinical impression was only 66.7% accurate. The algorithm correctly identified 80% of the cases as IPD or APS (p = 0.02) and 87.5% of the APS cases as MSA or PSP (p = 0.03). The final clinical diagnosis was 93.3% accurate (p < 0.001), but needed several years of expert follow-up. Conclusion: The image-based classifications agreed well with autopsy and can help to improve diagnostic accuracy during the period of clinical uncertainty. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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