Can diffusion-weighted imaging distinguish between benign and malignant pediatric liver tumors?

Pablo Caro-Domínguez1, Abha A Gupta2, Govind B Chavhan3

  • 1Department of Diagnostic Imaging, The Hospital for Sick Children, Medical Imaging, University of Toronto, 555 University Ave., Toronto, ON, M5G 1X8, Canada.

Pediatric Radiology
|September 19, 2017
PubMed
Abstract

Insights

Diffusion-weighted imaging (DWI) shows promise in evaluating pediatric liver lesions. Qualitative diffusion restriction is a good indicator of malignancy, aiding differentiation, but quantitative ADC values have limited utility due to overlap.

Area of Science:

  • Radiology
  • Pediatric Imaging
  • Oncology

Background:

  • Limited data exists on the utility of diffusion-weighted imaging (DWI) for evaluating pediatric liver lesions.
  • Accurate differentiation between benign and malignant lesions is crucial for appropriate management.

Purpose of the Study:

  • To determine if qualitative and quantitative DWI can differentiate benign from malignant pediatric liver lesions.
  • To assess the diagnostic performance of DWI in pediatric liver lesion evaluation.

Main Methods:

  • Retrospective review of MRIs in 89 children with 112 focal liver lesions.
  • Qualitative assessment of diffusion restriction and quantitative measurement of apparent diffusion coefficient (ADC) values.
  • Pathology confirmation or clinical/imaging follow-up used for final diagnosis.

Main Results:

  • High interobserver agreement for both qualitative and quantitative diffusion assessment.
  • All malignant lesions exhibited diffusion restriction, while most benign lesions did not.
  • Malignant lesions had significantly lower mean normalized ADC values than benign lesions, but with considerable overlap.

Conclusions:

  • Qualitative diffusion restriction is a valuable predictor of malignancy in pediatric liver lesions when used with conventional MRI sequences.
  • Quantitative ADC measurements have limited utility for differentiating benign from malignant lesions due to significant overlap in values.