Evaluating the Swallow-Tail Sign on susceptibility-weighted imaging (SWI) for Parkinson's disease diagnosis: A bivariate meta-analysis

BACKGROUND AND PURPOSE: The Swallow-Tail Sign (STS), reflecting nigrosome-1 integrity in the substantia nigra, is a magnetic resonance imaging biomarker for Parkinson's disease (PD). Although susceptibility-weighted imaging (SWI) is widely available, the diagnostic performance of STS on SWI has not been comprehensively quantified. This study evaluated the diagnostic accuracy of STS on SWI for identifying PD. MATERIALS AND METHODS: MEDLINE, Embase, and Web of Science were searched for studies assessing STS on SWI in adults with clinically diagnosed PD and healthy controls. Eligible studies provided data to construct 2 × 2 tables. Methodological quality was assessed with QUADAS-2. A bivariate random-effects model estimated pooled sensitivity, specificity, likelihood ratios, and diagnostic odds ratio. RESULTS: Seventeen studies including 1008 PD patients and 944 controls were analyzed. Pooled sensitivity was 0.91 (95% CI: 0.83-0.96) and specificity 0.89 (95% CI: 0.82-0.93). The positive likelihood ratio was 8.1 and the negative likelihood ratio 0.10. The diagnostic odds ratio was 83, and the area under the curve was 0.95. Substantial heterogeneity was observed without evidence of publication bias. CONCLUSIONS: STS on SWI demonstrates high diagnostic accuracy for PD and represents a reliable, non-invasive adjunct to clinical diagnosis.

Authors

Institutions

Publication Details

Journal
Journal of Neuroradiology
Published
2026-09-11
DOI
https://doi.org/10.1016/j.neurad.2026.101602
Primary Topic
Dysphagia Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Evaluating the Swallow-Tail Sign on susceptibility-weighted imaging (SWI) for Parkinson's disease diagnosis: A bivariate meta-analysis

Atul Kumar Taneja, G. Montalvo Alvarez, Victor Arthur Ohannesian, Miguel José Francisco Neto et al.
Journal of Neuroradiology
Dysphagia Assessment and Management
article

Evaluating the Swallow-Tail Sign on susceptibility-weighted imaging (SWI) for Parkinson's disease diagnosis: A bivariate meta-analysis

Atul Kumar Taneja, G. Montalvo Alvarez, Victor Arthur Ohannesian, Miguel José Francisco Neto, Bruno Marçola Ishizuka, L. N. Falcao, Amanda C. Rodrigues, Carlos Henrique Spadão Tudino, Diego Rajchenberg, Marina Baracat Alvarez, Isabelle Rodrigues Menezes
article en

Abstract

BACKGROUND AND PURPOSE: The Swallow-Tail Sign (STS), reflecting nigrosome-1 integrity in the substantia nigra, is a magnetic resonance imaging biomarker for Parkinson's disease (PD). Although susceptibility-weighted imaging (SWI) is widely available, the diagnostic performance of STS on SWI has not been comprehensively quantified. This study evaluated the diagnostic accuracy of STS on SWI for identifying PD. MATERIALS AND METHODS: MEDLINE, Embase, and Web of Science were searched for studies assessing STS on SWI in adults with clinically diagnosed PD and healthy controls. Eligible studies provided data to construct 2 × 2 tables. Methodological quality was assessed with QUADAS-2. A bivariate random-effects model estimated pooled sensitivity, specificity, likelihood ratios, and diagnostic odds ratio. RESULTS: Seventeen studies including 1008 PD patients and 944 controls were analyzed. Pooled sensitivity was 0.91 (95% CI: 0.83-0.96) and specificity 0.89 (95% CI: 0.82-0.93). The positive likelihood ratio was 8.1 and the negative likelihood ratio 0.10. The diagnostic odds ratio was 83, and the area under the curve was 0.95. Substantial heterogeneity was observed without evidence of publication bias. CONCLUSIONS: STS on SWI demonstrates high diagnostic accuracy for PD and represents a reliable, non-invasive adjunct to clinical diagnosis.

Journal of NeuroradiologyVol. 53(6)
Escola Bahiana de Medicina e Saúde Pública (BR), Florida International University (US), Hospital Israelita Albert Einstein (BR), Universidade Federal do Rio Grande do Norte (BR), Baptist Health South Florida (US), Faculdade de Ciências Médicas da Santa Casa de São Paulo (BR), Universidade do Vale do Rio dos Sinos (BR)
Zero hunger
Openalex Percentile: Top 7%
Dysphagia Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.