Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis.
Objectives: Our goal was to estimate the diagnostic accuracy of substantia nigra fractional anisotropy (SN-FA) for Parkinson's disease (PD) diagnosis in a sample similar to the clinical setting, including patients with essential tremor (ET) and healthy controls (HC). We also performed a systematic r...
| Publicado en: | European Radiology Vol. 27; no. 6; pp. 2640 - 2649 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2017
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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=122727274&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122727274 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2017 vid: 27 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 122727274 122727274 144022807 NLM27709279 10.1007/s00330-016-4611-0 NLM27709279 122727274 ppf: 2640 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis. aug: au: Hirata, Fabiana Sato, João Vieira, Gilson Lucato, Leandro Leite, Claudia Bor-Seng-Shu, Edson Pastorello, Bruno Otaduy, Maria Chaim, Khallil Campanholo, Kenia Novaes, Natalia Melo, Luciano Gonçalves, Márcia Nascimento, Felipe Teixeira, Manoel Barbosa, Egberto Amaro, Edson Cardoso, Ellison Hirata, Fabiana C C Sato, João R affil: LIM-44, Department of Radiology , University of São Paulo , Rua Oscar Freire, 1967, Apto. 43A, Cerqueira César São Paulo Brazil sug: ab: Objectives: Our goal was to estimate the diagnostic accuracy of substantia nigra fractional anisotropy (SN-FA) for Parkinson's disease (PD) diagnosis in a sample similar to the clinical setting, including patients with essential tremor (ET) and healthy controls (HC). We also performed a systematic review and meta-analysis to estimate mean change in SN-FA induced by PD and its diagnostic accuracy.Methods: Our sample consisted of 135 subjects: 72 PD, 21 ET and 42 HC. To address inter-scanner variability, two 3.0-T MRI scans were performed. MRI results of this sample were pooled into a meta-analysis that included 1,432 subjects (806 PD and 626 HC). A bivariate model was used to evaluate diagnostic accuracy measures.Results: In our sample, we did not observe a significant effect of disease on SN-FA and it was uninformative for diagnosis. The results of the meta-analysis estimated a 0.03 decrease in mean SN-FA in PD relative to HC (CI: 0.01-0.05). However, the discriminatory capability of SN-FA to diagnose PD was low: pooled sensitivity and specificity were 72 % (CI: 68-75) and 63 % (CI: 58-70), respectively. There was high heterogeneity between studies (I2 = 91.9 %).Conclusions: SN-FA cannot be used as an isolated measure to diagnose PD.Key Points: • SN-FA appears insufficiently sensitive and specific to diagnose PD. • Radiologists must be careful when translating mean group results to clinical practice. • Imaging protocol and analysis standardization is necessary for developing reproducible quantitative biomarkers. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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