Diffusion-weighted imaging in oral squamous cell carcinoma using 3 Tesla MRI: is there a chance for preoperative discrimination between benign and malignant lymph nodes in daily clinical routine?

Author:

Wendl Christina M1,Müller Steffen2,Eiglsperger Johannes3,Fellner Claudia1,Jung Ernst M1,Meier Johannes K2

Affiliation:

1. Department of Radiology, University Hospital Regensburg, Regensburg, Germany

2. Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, Regensburg, Germany

3. Institute of Theroretical Physics, University Regensburg, Regensburg, Germany

Abstract

Background Preoperative staging of cervical lymph nodes is important to determine the extent of neck dissection in patients with oral squamous cell carcinoma (OSCC). Purpose To evaluate whether a preoperative discrimination of benign and malignant cervical lymph nodes with diffusion-weighted imaging (DWI) (3T) is feasible for clinical application. Material and Methods Forty-five patients with histological proven OSCC underwent preoperative 3T-MRI. DWI (b = 0, 500, and 1000 s/mm2) was added to the standard magnetic resonance imaging (MRI) protocol. Mean apparent diffusion coefficients (ADCmean) were measured for lymph nodes with 3 mm or more in short axis by two independent readers. Finally, these results were matched with histology. Results Mean ADC was significantly higher for malignant than for benign nodes (1.143 ± 0.188 * 10−3 mm2/s vs. 0.987 ± 0.215 * 10−3 mm2/s). Using an ADC value of 0.994 * 10−3 mm2/s as threshold results in a sensitivity of 80%, specificity of 65%, positive predictive value of 31%, and negative predictive value of 93%. Conclusion Due to a limited sensitivity and specificity DWI alone is not suitable to reliably discriminate benign from malignant cervical lymph nodes in daily clinical routine. Hence, the preoperative determination of the extent of neck dissection on the basis of ADC measurements is not meaningful.

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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