Your browser doesn't support javascript.
loading
Quantitative iron-neuromelanin MRI associates with motor severity in Parkinson's disease and matches radiological disease classification.
Hartono, Septian; Chen, Robert Chun; Welton, Thomas; Tan, An Sen; Lee, Weiling; Teh, Peik Yen; Chen, Celeste; Hou, Wenlu; Tham, Wei Ping; Lim, Ee Wei; Prakash, Kumar M; Shih, Yao-Chia; Lee, Kuan Jin; Tan, Louis C S; Tan, Eng King; Chan, Ling Ling.
Affiliation
  • Hartono S; Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
  • Chen RC; Duke-NUS Graduate Medical School, Singapore, Singapore.
  • Welton T; Duke-NUS Graduate Medical School, Singapore, Singapore.
  • Tan AS; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Lee W; Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
  • Teh PY; Duke-NUS Graduate Medical School, Singapore, Singapore.
  • Chen C; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Hou W; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Tham WP; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Lim EW; Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
  • Prakash KM; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Shih YC; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Lee KJ; Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
  • Tan LCS; Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
  • Tan EK; Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
  • Chan LL; Yuan Ze University, Taoyuan, Taiwan.
Front Aging Neurosci ; 15: 1287917, 2023.
Article in En | MEDLINE | ID: mdl-38090717
Background: Neuromelanin- and iron-sensitive MRI studies in Parkinson's disease (PD) are limited by small sample sizes and lack detailed clinical correlation. In a large case-control PD cohort, we evaluated the diagnostic accuracy of quantitative iron-neuromelanin MRI parameters from the substantia nigra (SN), their radiological utility, and clinical association. Methods: PD patients and age-matched controls were prospectively recruited for motor assessment and midbrain neuromelanin- and iron-sensitive [quantitative susceptibility mapping (QSM) and susceptibility map-weighted imaging (SMWI)] MRI. Quantitative neuromelanin-iron parameters from the SN were assessed for their discriminatory performance in PD classification using ROC analysis compared to those of qualitative visual classification by radiological readers of differential experience and used to predict motor severity. Results: In total, 191 subjects (80 PD, mean age 65.0 years; 111 controls, 65.6) were included. SN masks showed (a) higher mean susceptibility (p < 0.0001) and smaller sizes after thresholding for low susceptibility (p < 0.0001) on QSM and (b) lower contrast range (p < 0.0001) and smaller sizes after thresholding for high-signal voxels (p < 0.0001) on neuromelanin-sensitive MRI in patients than in controls. Quantitative iron and neuromelanin parameters showed a moderate correlation with motor dysfunction (87.5%: 0.4< | r | <0.6, p < 0.0001), respectively. A composite quantitative neuromelanin-iron marker differentiated the groups with excellent performance (AUC 0.94), matching the diagnostic accuracy of the best-performing reader (accuracy 97%) using SMWI. Conclusion: Quantitative neuromelanin-iron MRI is associated with PD motor severity and matched best-performing radiological PD classification using SMWI, with the potential to improve diagnostic confidence in the clinics and track disease progression and response to neuroprotective therapies.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Aging Neurosci Year: 2023 Document type: Article Affiliation country: Singapore Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Aging Neurosci Year: 2023 Document type: Article Affiliation country: Singapore Country of publication: Switzerland