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Diffusion-weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors.

Authors
  • Meeus, Emma M1, 2, 3
  • Zarinabad, Niloufar2, 3
  • Manias, Karen A2, 3
  • Novak, Jan2, 3
  • Rose, Heather E L2, 3
  • Dehghani, Hamid1, 4
  • Foster, Katharine5
  • Morland, Bruce3
  • Peet, Andrew C2, 3
  • 1 Physical Sciences of Imaging in Biomedical Sciences (PSIBS) Doctoral Training Centre, University of Birmingham, UK.
  • 2 Institute of Cancer and Genomic Sciences, University of Birmingham, UK.
  • 3 Department of Oncology, Birmingham Children's Hospital, Birmingham, UK.
  • 4 School of Computer Science, University of Birmingham, UK.
  • 5 Department of Radiology, Birmingham Children's Hospital, Birmingham, UK.
Type
Published Article
Journal
Journal of Magnetic Resonance Imaging
Publisher
Wiley (John Wiley & Sons)
Publication Date
Jun 01, 2018
Volume
47
Issue
6
Pages
1475–1486
Identifiers
DOI: 10.1002/jmri.25901
PMID: 29159937
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Pediatric retroperitoneal tumors in the renal bed are often large and heterogeneous, and their diagnosis based on conventional imaging alone is not possible. More advanced imaging methods, such as diffusion-weighted (DW) MRI and the use of intravoxel incoherent motion (IVIM), have the potential to provide additional biomarkers that could facilitate their noninvasive diagnosis. To assess the use of an IVIM model for diagnosis of childhood malignant abdominal tumors and discrimination of benign from malignant lesions. Retrospective. Forty-two pediatric patients with abdominal lesions (n = 32 malignant, n = 10 benign), verified by histopathology. 1.5T MRI system and a DW-MRI sequence with six b-values (0, 50, 100, 150, 600, 1000 s/mm2 ). Parameter maps of apparent diffusion coefficient (ADC), and IVIM maps of slow diffusion coefficient (D), fast diffusion coefficient (D*), and perfusion fraction (f) were computed using a segmented fitting model. Histograms were constructed for whole-tumor regions of each parameter. Comparison of histogram parameters of and their diagnostic performance was determined using Kruskal-Wallis, Mann-Whitney U, and receiver-operating characteristic (ROC) analysis. IVIM parameters D* and f were significantly higher in neuroblastoma compared to Wilms' tumors (P < 0.05). The ROC analysis showed that the best diagnostic performance was achieved with D* 90th percentile (area under the curve [AUC] = 0.935; P = 0.002; cutoff value = 32,376 × 10-6 mm2 /s) and f mean values (AUC = 1.00; P < 0.001; cutoff value = 14.7) in discriminating between neuroblastoma (n = 11) and Wilms' tumors (n = 8). Discrimination between tumor types was not possible with IVIM D or ADC parameters. Malignant tumors revealed significantly lower ADC, D, and higher D* values than in benign lesions (all P < 0.05). IVIM perfusion parameters could distinguish between malignant childhood tumor types, providing potential imaging biomarkers for their diagnosis. 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1475-1486. © 2017 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

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