Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-Analysis.

Alexey Surov,Hans Jonas Meyer,Andreas Wienke

doi:10.3389/fonc.2019.01362

Abstract

Background: The purpose of the present meta-analysis was to provide evident data about use of apparent diffusion coefficient (ADC) values for distinguishing malignant and benign lesions in the head and neck region.Material and Methods: MEDLINE and Scopus databases were screened for associations between ADC and malignancy/benignancy of head and neck lesions up to December 2018. Overall, 22 studies met the inclusion criteria. The following data were extracted: authors, year of publication, study design, number of patients/lesions, lesion type, mean value, and standard deviation of ADC. The primary endpoint of the systematic review was the analysis of the association between lesion nature and ADC values. The methodological quality of the involved studies was checked according to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) instrument. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance weights were used without further correction to account for the heterogeneity between the studies. Mean ADC values including 95% confidence intervals were calculated separately for benign and malignant lesions.Results: The acquired 22 studies comprised 1,227 lesions. Different malignant lesions were diagnosed in 818 cases (66.7%) and benign lesions in 409 cases (33.3%). The mean ADC value of the malignant lesions was 1.04 × 10−3 mm2/s, and the mean value of the benign lesions was 1.46 × 10−3 mm2/s. Lymphomas and sarcomas showed the lowest calculated mean ADC values, 0.7 and 0.79 × 10−3 mm2/s, respectively. Adenoid cystic carcinomas had the highest ADC values (1.5 × 10−3 mm2/s). None of the analyzed malignant tumors had mean ADC values above 1.75 × 10−3 mm2/s.Conclusion: ADC values play a limited role in distinguishing between malignant and benign lesions in the head and neck region. It may be only suggested that lesions with mean ADC values above 1.75 × 10−3 mm2/s are probably benign. Further large studies are needed for the analysis of the role of diffusion-weighted imaging (DWI)/ADC in the discrimination of benign and malignant lesions in the head and neck region.

Highlights

Diffusion-weighted imaging (DWI) is a magnetic resonance imaging (MRI) technique based on measure of water diffusion in tissues [1]
MEDLINE and Scopus databases were screened for associations between apparent diffusion coefficient (ADC) and malignancy/benignancy of head and neck lesions up to December 2018 (Figure 1)
Our analysis showed that both malignant and benign lesions in head and neck region (HNR) presented with a broad spectrum of ADC values

Summary

Introduction

Diffusion-weighted imaging (DWI) is a magnetic resonance imaging (MRI) technique based on measure of water diffusion in tissues [1]. Restriction of water diffusion can be quantified by apparent diffusion coefficient (ADC) [1]. ADC is associated with several histopathological features, such as cell count and expression of proliferation markers [2, 3]. It has been shown that ADC correlated well with expression of Ki67 in head and neck squamous cell carcinoma [4, 5]. ADC can predict other important histopathological features, such as expression of vascular endothelial growth factor, tumor suppressor protein p53, hypoxia-inducible factor (HIF)-1α, CD3-positive cell count, and human papilloma virus (p16) [5,6,7]. The purpose of the present meta-analysis was to provide evident data about use of apparent diffusion coefficient (ADC) values for distinguishing malignant and benign lesions in the head and neck region

Methods

Results

Discussion

Conclusion