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ArticleNeuroradiology2025

MRI differentiation of CNS fungal infections: correlating imaging features with microbiological and histopathological findings.

Kumail Khandwala, Joveria Farooqi, Rashid Ali, Saqib Kamran Bakhshi, Shayan Sirat Maheen Anwar

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Article in Neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A comprehensive review of neurotropic fungal infections: clinical manifestations and vaccines.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kumail KhandwalaDepartment of Radiology, Aga Khan University Hospital, Aga Khan University, Karachi Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
Joveria FarooqiSection of Microbiology, Department of Pathology & Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Rashid AliSection of Microbiology, Department of Pathology & Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Saqib Kamran BakhshiDepartment of Surgery, Aga Khan University, Karachi, Pakistan.
Shayan Sirat Maheen AnwarDepartment of Radiology, Aga Khan University Hospital, Aga Khan University, Karachi Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan. shayan.sirat@gmail.com.ORCID http://orcid.org/0000-0003-0615-8661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aims to evaluate the magnetic resonance (MR) features of central nervous system (CNS) fungal infections and determine the associations between these findings and the type of fungus. Our main objective was to assess whether imaging can serve as a predictor for identifying the specific group of fungi responsible for the infection using microbiology and histopathology as a benchmark. MATERIALS AND

methodsA retrospective analysis was done on 50 patients with proven CNS fungal infections. Fungal type was determined and grouped according to microbial classifications into four subtypes: hyalohyphomycetes, mucorales, yeasts and dematiaceous molds. MR findings were compared with histopathology/microbiology and associations between fungal groups were sought.

resultsA total of 37 males and 13 females with a mean age of 39.3 years were included in the study. Aspergillus spp. infection (48%) was the most common. Most patients (54%) had an underlying risk factor for the infection. Pseudo-tumoral mass-like behavior was observed with Aspergillus, and the presence of meningitis was associated with yeast infections (p < 0.001). Of the 19 abscesses, 9 (47.3%) showed a dual rim sign on susceptibility-weighted imaging (SWI), and 10 (52.6%) showed intracavitary dot-like foci of dropouts on SWI. Both findings were statistically significant with dematiaceous molds (p = 0.04 and p = 0.009, respectively).

conclusionAlthough radiological characteristics are non-specific and can overlap with each type of fungi, our study shows that certain MR features can help radiologists point towards the causative type. More specifically, dot-like foci of susceptibility point towards abscesses caused by dematiaceous molds possibly owing to melanin pigment and metal chelation properties.

Indexed as

Central Nervous System Fungal InfectionsMagnetic Resonance ImagingAdolescentAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesAbscessCentral nervous systemDiffusion restrictionFungal infectionMeningitisMR

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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.