Meeting Banner
Abstract #4710

Impact of Nigrosome-1 MRI and Deep Learning Models in Parkinsonism: Clinical Follow-up At Year-3

Devanshi Patidar1, Septian Hartono1,2,3, Poh Choo Seow 2, Weiling Lee2, Bangwei, Mark Tan1,2,3, Kheng Choon Lim1,2,3, Robert Chen1,2,3, Eng King Tan1,3, and Ling Ling Chan1,2,3
1Duke-NUS Medical School, Singapore, Singapore, 2Singapore General Hospital, Singapore, Singapore, 3National Neuroscience Institute, Singapore, Singapore

Synopsis

Keywords: Parkinson's Disease, Neurodegeneration

Motivation: Diagnosing parkinsonism is challenging, especially in early stages, with misdiagnosis rates around 25%. Nigrosome-1 MRI and deep learning (DL) models may improve diagnostic accuracy.

Goal(s): To report the clinical utility of nigrosome-1 MRI and DL models for automated nigrosome-1 classification and quantification against long-term clinical outcomes in patients presenting with parkinsonism.

Approach: Retrospective review of patient records for clinical outcomes at year-3.

Results: Radiological assessment, Heuron IPD binary classification and Heuron NI nigrosome-1 quantification showed strong concordance with clinical outcomes (AUC: radiologist=0.87, Heuron NI=0.84, Heuron IPD=0.82). Volume analysis with Heuron NI distinguished idiopathic Parkinson’s disease from non-neurodegenerative conditions (p<0.005).

Impact: Nigrosome-1 MRI in the radiologic clinic aids in differentiating idiopathic Parkinson’s disease from non-neurodegenerative conditions when clinical presentation is unclear. Deep learning models enhance accessibility and show good potential as objective adjunctive imaging tools easing radiological workflow for accurate diagnosis.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords