ArticleBrain sciences2019
Semi-Automatic Signature-Based Segmentation Method for Quantification of Neuromelanin in Substantia Nigra.
Article in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Diagnostic performance of neuromelanin-sensitive magnetic resonance imaging for patients with Parkinson's disease and factor analysis for its heterogeneity: a systematic review and meta-analysis.European radiology · 2021Pooled it
- Spectral presaturation with inversion recovery provides superior neuromelanin imaging for Parkinson's disease evaluation compared to magnetization transfer.Neuroradiology · 2026Article
- Catecholaminergic nucleus integrity and Alzheimer's pathology, symptoms, and progression.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Comparison of 3D Magnetization-transfer- and Spectral-presaturation-with-inversion-recovery-based Neuromelanin Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- Neuromelanin-sensitive MRI as a promising biomarker of catecholamine function.Brain : a journal of neurology · 2024Review
- Diagnostic performance of a high-spatial-resolution voxelwise analysis of neuromelanin-sensitive imaging in early-stage idiopathic Parkinson's disease.BMC medical imaging · 2023Article
- Automatic detection of neuromelanin and iron in the midbrain nuclei using a magnetic resonance imaging-based brain template.Human brain mapping · 2022Article
- Iron as the concert master in the pathogenic orchestra playing in sporadic Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2021Review
- Early-stage Parkinson's disease: Abnormal nigrosome 1 and 2 revealed by a voxelwise analysis of neuromelanin-sensitive MRI.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
In Parkinson's disease (PD), there is a reduction of neuromelanin (NM) in the substantia nigra (SN). Manual quantification of the NM volume in the SN is unpractical and time-consuming; therefore, we aimed to quantify NM in the SN with a novel semi-automatic segmentation method. Twenty patients with PD and twelve healthy subjects (HC) were included in this study. T1-weighted spectral pre-saturation with inversion recovery (SPIR) images were acquired on a 3T scanner. Manual and semi-automatic atlas-free local statistics signature-based segmentations measured the surface and volume of SN, respectively. Midbrain volume (MV) was calculated to normalize the data. Receiver operating characteristic (ROC) analysis was performed to determine the sensitivity and specificity of both methods. PD patients had significantly lower SN mean surface (37.7 ± 8.0 vs. 56.9 ± 6.6 mm
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