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R. Kadavigere

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Open access Oct 2026

MRI-based machine learning models for differentiating Parkinson’s disease and Progressive Supranuclear Palsy

Background Parkinson’s disease (PD) and Progressive Supranuclear Palsy (PSP) are neurodegenerative disorder which have Parkinsonism as core clinical feature. PD and PSP are often misdiagnosed in early phases by conventional magnetic resonance imaging (MRI). Hence the objective of the study is to evaluate accuracy of MR...

Vilhoubeinuo Veronica Khruomo, Priyanka, R. Kadavigere et al. · 0 citations
Review Open access Oct 2026

Effectiveness of conservative interventions on pain and disability in degenerative cervical spine disease: a systematic review and meta-analysis of randomized controlled trials

Degenerative cervical spine disease (DCSD) is a major cause of neck pain and disability worldwide. Although conservative interventions are widely used as first-line management, their comparative effectiveness remains unclear. This systematic review and meta-analysis aimed to evaluate and compare the effectiveness...

Ashwin Prabhu, A. Pradhan, Priya P. S. et al. · 0 citations
Review Open access Oct 2026

Multimodal MRI markers of white matter hyperintensities and their impact on cognition in cerebral small vessel disease: a systematic review

Cerebral small vessel disease (CSVD) is a leading cause of stroke, dementia, and age-related cognitive decline, with white matter hyperintensities (WMH) being a key imaging feature in MRI. This review aims to evaluate the association between multimodal magnetic resonance imaging markers of white matter hyperintensities...

Babina Aryal, S. Pendem, Priya P. S. et al. · 0 citations
Aug 2026

Evaluation of acquisition strategies in IVIM-DKI brain imaging: Effects on image quality, parameter stability, and comparison with DSC perfusion.

An optimized low b-value-weighted acquisition with targeted averaging (A2) provided the strongest overall balance between image quality, parameter stability, tissue contrast, and correspondence with DSC-derived perfusion measures.

A. S., S. Pendem, R. Kadavigere et al. · 0 citations

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