Published December 2008 | Version v1
Journal article

Diffusion-weighted magnetic resonance imaging of head and neck squamous cell carcinomas

  • 1. Medical University Vienna, Department of Radiology, Division of MSK- and Neuroradiology, Waehringer Guertel 18-20, A-1090 Vienna (Austria)
  • 2. Medical University Vienna, Department of Histology, Waehringer Guertel 18-20, AKH, A-1090 Vienna (Austria)

Description

Objective: To evaluate whether diffusion-weighted imaging (DWI) is a reliable technique to quantify microstructural differences between head and neck squamous cell carcinomas (SCC) and tumour-free soft tissue. Materials and methods: DWI was obtained from 20 patients with histologically proven, untreated head and neck SCC. DWI was acquired using a diffusion-weighted, navigated echo-planar imaging sequence with a maximum b-value of 800 s/mm2. For an objective assessment of image quality, the signal-to-noise ratio (SNR) was calculated. Microstructural differences between vital tumour tissue and tumour-free soft tissue were quantified by calculating the apparent-diffusion-coefficients (ADC) on a pixel by pixel method. Results: Echo-planar DWI provided good image quality in all patients (mean SNR 18.4). The mean ADC of SCC, (0.64 ± 0.28 x 10-3 mm2/s), was significantly (P < 0.0001) lower than that of the tumour-free soft tissue, (2.51 ± 0.82 x 10-3 mm2/s). Conclusion: DWI is a reliable diagnostic tool to quantify the microstructural differences between vital tumour tissue and tumour-free soft tissue in patients with head and neck SCC

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2007.10.011

Additional details

Identifiers

DOI
10.1016/j.ejrad.2007.10.011;
PII
S0720-048X(07)00528-1;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
68
Journal Issue
3
Journal Page Range
p. 493-498
ISSN
0720-048X
CODEN
EJRADR

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40044078
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ANALOG-TO-DIGITAL CONVERTERS; CARCINOMAS; HEAD; IMAGES; MICROSTRUCTURE; NECK; NMR IMAGING; PATIENTS; SIGNAL-TO-NOISE RATIO
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DIMENSIONLESS NUMBERS; DISEASES; ELECTRONIC EQUIPMENT; EQUIPMENT; NEOPLASMS

Optional Information

Copyright
Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.