Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients
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...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2020-10-01
|
Series: | Indian Journal of Radiology and Imaging |
Subjects: | |
Online Access: | http://www.thieme-connect.de/DOI/DOI?10.4103/ijri.IJRI_129_19 |
id |
doaj-11fd21982937466d9b73bc19548a9c94 |
---|---|
record_format |
Article |
spelling |
doaj-11fd21982937466d9b73bc19548a9c942021-07-14T23:00:06ZengThieme Medical and Scientific Publishers Pvt. Ltd.Indian Journal of Radiology and Imaging0971-30261998-38082020-10-01300447348110.4103/ijri.IJRI_129_19Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficientsAli Baiomy0Ayman Nada1Ahmed Gabr2Ayda Youssef3Esmat Mahmoud4Iman Zaky5Texas Tech University Health Sciences Center El Paso, TXDepartment of Radiology, University of Missouri, MO, USADepartment of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, EgyptDepartment of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, EgyptDepartment of Diagnostic and Interventional Radiology, National Cancer Institute, Cairo University, EgyptDepartment of Radiology, Children’s Cancer Hospital, EgyptPurpose: 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.http://www.thieme-connect.de/DOI/DOI?10.4103/ijri.IJRI_129_19apparent diffusion coefficientdwihead and neck massespediatric |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ali Baiomy Ayman Nada Ahmed Gabr Ayda Youssef Esmat Mahmoud Iman Zaky |
spellingShingle |
Ali Baiomy Ayman Nada Ahmed Gabr Ayda Youssef Esmat Mahmoud Iman Zaky Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients Indian Journal of Radiology and Imaging apparent diffusion coefficient dwi head and neck masses pediatric |
author_facet |
Ali Baiomy Ayman Nada Ahmed Gabr Ayda Youssef Esmat Mahmoud Iman Zaky |
author_sort |
Ali Baiomy |
title |
Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients |
title_short |
Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients |
title_full |
Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients |
title_fullStr |
Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients |
title_full_unstemmed |
Characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients |
title_sort |
characterization of pediatric head and neck masses with quantitative analysis of diffusion-weighted imaging and measurement of apparent diffusion coefficients |
publisher |
Thieme Medical and Scientific Publishers Pvt. Ltd. |
series |
Indian Journal of Radiology and Imaging |
issn |
0971-3026 1998-3808 |
publishDate |
2020-10-01 |
description |
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. |
topic |
apparent diffusion coefficient dwi head and neck masses pediatric |
url |
http://www.thieme-connect.de/DOI/DOI?10.4103/ijri.IJRI_129_19 |
work_keys_str_mv |
AT alibaiomy characterizationofpediatricheadandneckmasseswithquantitativeanalysisofdiffusionweightedimagingandmeasurementofapparentdiffusioncoefficients AT aymannada characterizationofpediatricheadandneckmasseswithquantitativeanalysisofdiffusionweightedimagingandmeasurementofapparentdiffusioncoefficients AT ahmedgabr characterizationofpediatricheadandneckmasseswithquantitativeanalysisofdiffusionweightedimagingandmeasurementofapparentdiffusioncoefficients AT aydayoussef characterizationofpediatricheadandneckmasseswithquantitativeanalysisofdiffusionweightedimagingandmeasurementofapparentdiffusioncoefficients AT esmatmahmoud characterizationofpediatricheadandneckmasseswithquantitativeanalysisofdiffusionweightedimagingandmeasurementofapparentdiffusioncoefficients AT imanzaky characterizationofpediatricheadandneckmasseswithquantitativeanalysisofdiffusionweightedimagingandmeasurementofapparentdiffusioncoefficients |
_version_ |
1721302191865593856 |