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Diffusion‐Weighted Imaging Does Not Differentiate Between Bacterial and Fungal Skull Base Osteomyelitis.

  • Published In: Clinical Otolaryngology, 2025, v. 50, n. 2. P. 300 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Karthat, Arun G.; Regi, Soumya; Thomas, Habie; Sara, Katti B.; Beula Subashini, P.; Sundaresan, Rajan; Thomas, Regi 3 of 3

Abstract

Objective: Apparent diffusion coefficient (ADC) value helps in differentiating infections from neoplasms on magnetic resonance imaging (MRI). We investigate the diffusion‐weighted images in skull base osteomyelitis (SBO) to evaluate if ADC values can differentiate fungal and bacterial SBO and to analyse the microbiology of all SBO patients. Design: Retrospective observational study. Setting: Quaternary care referral centre. Participants: A retrospective review of 142 patients diagnosed and treated for SBO patients from January 2010 to May 2023 was done. Main Outcome Measure: Chi‐square or Fisher's exact test was used to compare ADC values of bacterial and fungal SBO. Results: The most common pathogens isolated were Pseudomonas (42.2%), Aspergillus (30.98%), and S. aureus (23.94%). The average ADC value of affected soft tissues among patients was 1.13 ± 0.26 × 10−3 mm2/s compared to the average ADC value of normal soft tissue, 1.34 ± 0.31 × 10−3 mm2/s. There was no statistical significance when comparing the average ADC values of bacterial and fungal SBO patients (p value = 0.142). Conclusion: This study suggests that though infection due to Pseudomonas was the commonest, it was detected only in 42.2% of patients. More than half of the cases had organisms other than Pseudomonas, demanding the clinician to obtain deeper biopsies early in the course of the disease for microbiological analysis. DWI does not help differentiate bacterial and fungal SBO, again emphasising the need for deeper tissue biopsies in all these patients to assist in the early identification of the pathogen. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Clinical Otolaryngology. 2025/03, Vol. 50, Issue 2, p300
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2025
  • ISSN:1749-4478
  • DOI:10.1111/coa.14256
  • Accession Number:183898437
  • Copyright Statement:Copyright of Clinical Otolaryngology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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