CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2020; 30(04): 473-481
DOI: 10.4103/ijri.IJRI_129_19
Pediatric Imaging

Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients

Ali Baiomy
Texas Tech University Health Sciences Center El Paso, TX
,
Ayman Nada
Department of Radiology, University of Missouri, MO, USA
Department of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, Egypt
,
Ahmed Gabr
Department of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, Egypt
,
Ayda Youssef
Department of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, Egypt
,
Esmat Mahmoud
Department of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, Egypt
,
Iman Zaky
Department of Radiology, Children’s Cancer Hospital, Egypt
› Author Affiliations
Financial support and sponsorship Nil.

Abstract

Purpose: Our objective was to investigate the accuracy of quantitative diffusion-weighted imaging (DWI) to determine the histopathologic diagnosis of pediatric head and neck lesions. Materials and Methods: This retrospective study included 100 pediatric patients recently diagnosed with head and neck tumors. All patients underwent preoperative conventional magnetic resonance imaging (MRI) and DWI. Each lesion was evaluated according to signal characteristics, enhancement pattern, and diffusivity. The average apparent diffusion coefficient (ADC) obtained from each tumor was compared to the histological diagnosis of benign, locally malignant, or malignant categories. Results: Our retrospective study showed a significant negative correlation between average ADC and tumor histopathologic diagnosis (P < 0.001, r = -0.54). The mean ADC values of benign, locally malignant lesions, and malignant tumors were 1.65 ± 0.58 × 10−3, 1.43 ± 0.17 × 10−3, and 0.83 ± 0.23 × 10−3 mm2 s−1, respectively. The ADC values of benign and locally malignant lesions were overlapped. We found a cut-off value of ≥1.19 × 10–3 mm2s−1 to differentiate benign from malignant pediatric head and neck masses with a sensitivity of 97.3’, specificity of 80.0’, positive predictive value of 94.7’, and negative predictive value of 88.9’. Conclusion: Diffusion-weighted MRI study is an accurate, fast, noninvasive, and nonenhanced technique that can be used to characterize head and neck lesions. DWI helps to differentiate malignant from benign lesions based on calculated ADC values. Additionally, DWI is helpful to guide biopsy target sites and decrease the rate of unnecessary invasive procedures.



Publication History

Received: 17 March 2019

Accepted: 11 August 2020

Article published online:
14 July 2021

© 2020. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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