MRI differentiation of CNS fungal infections: correlating imaging features with microbiological and histopathological findings
- PMID: 39585369
- DOI: 10.1007/s00234-024-03510-z
MRI differentiation of CNS fungal infections: correlating imaging features with microbiological and histopathological findings
Abstract
Purpose: The 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 methods: A 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.
Results: A 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).
Conclusion: Although 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.
Keywords: Abscess; Central nervous system; Diffusion restriction; Fungal infection; MR; Meningitis.
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Conflict of interest statement
Declarations. Ethics approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: The requirement for obtaining written informed consent was waived by our Institutional Review Board. (IRB number 2022-7838-22486) Conflict of interest: The authors have no relevant financial or non-financial interests to disclose. Presentation: The preliminary findings of this study have been presented as an award-winning oral research presentation at Malaysian Congress of Radiology, July 2023 and as a poster presentation in European Congress of Radiology, March 2024.
References
- 
    - Gavito-Higuera J, Mullins CB, Ramos-Duran L et al (2016) Fungal infections of the central nervous system: a pictorial review. J Clin Imaging Sci 6:24. https://doi.org/10.4103/2156-7514.184244 - DOI - PubMed
 
- 
    - Khandelwal N, Gupta V, Singh P (2011) Central nervous system fungal infections in tropics. Neuroimaging Clin N Am 21(4):859–66, viii. https://doi.org/10.1016/j.nic.2011.07.006 - DOI - PubMed
 
- 
    - Góralska K, Blaszkowska J, Dzikowiec M (2018) Neuroinfections caused by fungi. Infection 46:443–459. https://doi.org/10.1007/s15010-018-1152-2 - DOI - PubMed
 
- 
    - Starkey J, Moritani T, Kirby P (2014) MRI of CNS fungal infections: review of aspergillosis to histoplasmosis and everything in between. Clin Neuroradiol 24:217–230. https://doi.org/10.1007/s00062-014-0305-7 - DOI - PubMed
 
- 
    - Mathur M, Johnson CE, Sze G (2012) Fungal infections of the central nervous system. Neuroimaging Clin N Am 22(4):609–32. https://doi.org/10.1016/j.nic.2012.04.004 - DOI - PubMed
 
MeSH terms
LinkOut - more resources
- Full Text Sources
- Medical
- Miscellaneous
 
        