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Brain Abscess Apparent Diffusion Coefficient is Associated With Microbial Culture Yields.

Cheng Hong Toh1,2, Tiing Yee Siow1, Alex Mun-Ching Wong1,2,3

  • 1Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Tao-Yuan, Taiwan.

Journal of Magnetic Resonance Imaging : JMRI
|February 18, 2021
PubMed
Summary
This summary is machine-generated.

Apparent diffusion coefficient (ADC) values can predict microbial culture yields in brain abscesses. Higher ADC values indicate culture-negative abscesses, aiding treatment planning.

Keywords:
apparent diffusion coefficientbrain abscessdiffusion-weighted imagingmicrobial culture

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Area of Science:

  • Radiology
  • Neuroimaging
  • Infectious Disease

Background:

  • Obtaining pus for microbial cultures is crucial for surgical treatment planning in brain abscess patients.
  • Predictors of microbial yields are needed to optimize patient management.

Purpose of the Study:

  • To investigate the association between apparent diffusion coefficient (ADC) values, clinical characteristics, and microbial culture yields in brain abscesses.

Main Methods:

  • Retrospective analysis of 84 patients with brain abscesses, including 59 with positive cultures.
  • Utilized diffusion-weighted, T2-weighted, and contrast-enhanced T1-weighted MRI sequences.
  • Assessed imaging characteristics, volumes, and ADC values, alongside clinical data and surgical types.

Main Results:

  • Mean ADC values were significantly higher in culture-negative abscesses (841 ± 173) compared to culture-positive ones (536 ± 90).
  • Multivariable analysis identified mean ADC as the sole significant predictor of culture yield (P < 0.05).
  • ADC demonstrated high diagnostic performance with 93.2% sensitivity, 88.0% specificity, and 91.7% accuracy for discriminating culture yields using a cutoff of 660.

Conclusions:

  • Apparent diffusion coefficient (ADC) values can effectively differentiate between culture-positive and culture-negative brain abscesses.
  • ADC measurements offer a valuable, non-invasive tool for predicting microbial culture results and guiding treatment strategies.