Imaging in Neuro-Melioidosis: Lessons from a Multi-centre Collaborative Effort Across India

Sabha Ahmed1, Ankit Arora1, Srinivas Meharwade1

  • 1From the Department of Neuroimaging and Interventional Radiology (S.A., A.A., S. M., A.K., S.B.S., S.T.), Neuropathology (A.M.), Neurology (G.V.H., S.D.V., N.M.), Professor, Department of Neuroimaging and Interventional Radiology (J.S., M.D.B.), National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India; Director and Professor at Barnard Institute of Radiology (B.P.S.), Madras Medical College, Chennai, Tamil Nadu, India; Department of Radiology (S.R. K., S.K.D., S.R.K.), Neurology (R.N., T.M.), St John's Medical College Hospital, Bengaluru, Karnataka, India; Department of Neuroradiology (U.V.A.), Manipal Hospitals, Bengaluru, Karnataka, India; Department of Neurology (J.A.), Mazumdar Shaw Medical Centre, Narayana Health, Bangalore, India; Department of Radiology (R.S.C., N.K.), General Medicine (J.S.), AIIMS Raipur, Raipur, Chhattisgarh, India; Department of Neurology (S.L.B.), Bangalore Hospitals, Bangalore, India and Department of Radiology (G.B.), Mayo Clinic, Rochester, Minnesota, USA.

Abstract

Insights

Neuro-melioidosis, a severe *Burkholderia pseudomallei* infection, frequently affects the brainstem, spinal cord, and white matter tracts. Recognizing these craniospinal MRI patterns aids early diagnosis in endemic areas.

Area of Science:

  • Neurology
  • Infectious Diseases
  • Radiology

Background:

  • Neuro-melioidosis is a rare but life-threatening infection caused by *Burkholderia pseudomallei*.
  • Imaging features are diverse and often overlooked, with limited existing literature.
  • This study focuses on a multicenter Indian cohort to detail the craniospinal MRI spectrum.

Purpose of the Study:

  • To characterize the craniospinal magnetic resonance imaging (MRI) spectrum of neuro-melioidosis.
  • To identify recurrent imaging patterns associated with diagnostic delays.
  • To analyze imaging findings in a multicenter Indian cohort.

Main Methods:

  • Retrospective multicenter case series of 33 patients with confirmed neuro-melioidosis.
  • Systematic review of neuroimaging using a 40-variable data-collection template.
  • Analysis of MRI features including lesion distribution, tract involvement, diffusion restriction, and spinal disease.

Main Results:

  • Extensive craniospinal involvement was observed, with supratentorial (81.8%), infratentorial (60.6%), and multifocal lesions (60.6%).
  • Brainstem (57.6%), white matter tract dissemination (66.7%, including CST in 63.6%), and spinal involvement (42.4%) were frequent.
  • Diffusion restriction (72.7%) and hemorrhage/microbleeds (36.4%) were noted; misdiagnosis occurred in 24.2%.

Conclusions:

  • Neuro-melioidosis presents with extensive craniospinal disease, notably affecting the brainstem, tracts, and spine.
  • These patterns are disproportionately frequent compared to other bacterial CNS infections.
  • Recognizing these imaging findings alongside microbiological cultures can improve early diagnosis in endemic regions.

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