Evidence map›Paper›PMID 41688474›Full record

ArticleNPJ Parkinson's disease2026

Neuromelanin imaging outperforms free water imaging in diagnosing early Parkinson's disease: a comparative MRI study.

Yun Hwa Roh, Jinyoung Youn, Sang-Young Kim, Hwan Heo, Soohwa Song, Jeongwon Jo, Eung Yeop Kim, Yangsean Choi, Sun Ju Chung, Sungyang Jo and 1 more

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yun Hwa RohDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Jinyoung YounDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang-Young KimMR Clinical Science, Philips Healthcare, Seoul, Republic of Korea.
Hwan HeoHeuron Co. Ltd., Seoul, Republic of Korea.
Soohwa SongHeuron Co. Ltd., Seoul, Republic of Korea.
Jeongwon JoHeuron Co. Ltd., Seoul, Republic of Korea.
Eung Yeop KimDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yangsean ChoiDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Sun Ju ChungDepartment of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Sungyang JoDepartment of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Beomseok SohnDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. beomseoksohn@gmail.com.

Funding

Ministry of Health & Welfare, Republic of Korea RS-2023-00266288National Research Foundation of Korea RS-2022-NR073559
6 · The paper itself

Abstract

Early and accurate diagnosis of Parkinson's disease (PD) remains challenging due to reliance on clinical assessment of motor symptoms. This retrospective study compared the diagnostic performance of neuromelanin (NM)-sensitive MRI and free water (FW) imaging in 247 patients with early PD and 78 controls from a single tertiary center, with independent external validation in a separate cohort acquired at another institution. NM volumes were measured in the substantia nigra pars compacta and its functional subregions (limbic, associative, and sensorimotor), while FW values were extracted from corresponding substantia nigra regions using diffusion tensor imaging. A combined NM model incorporating subregional volumes was developed through multivariable logistic regression. NM volumes were reduced across all regions in early PD patients compared to controls, while FW values showed no significant group differences. NM measurements consistently outperformed FW imaging across all regions, with the combined NM model achieving superior diagnostic accuracy, and NM-based measures also demonstrated higher diagnostic performance than FW in the external validation cohort. These results highlight the clinical utility of NM-MRI for early diagnostic assessment and its potential integration into emerging multimodal biomarker frameworks for PD.

Identifiers

PMID41688474
PMCPMC13013584

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.