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This study evaluates the diagnostic accuracy of USPIO enhanced MRI for the detection of lymph node metastases in head-and-neck squamous cell carcinoma (SCC) using histopathology as a gold standard.
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The presence of lymph node metastases has a large impact on prognosis and treatment in head-and neck cancer patients and necessitates treatment intensification. Determining lymph node status, however, is a challenge because up to 20% of patients with a pre-operative clinically negative neck will have occult metastases in the neck dissection specimen. One promising technique is USPIO-enhanced MRI, an MR-imaging technique in which ultrasmall superparamagnetic iron oxide (USPIO) particles are intravenously infused as a contrast agent in patients 24-36 hours before the MRI examination and has proven to be of value in detecting lymph node metastases in various types of cancer. The investigators want to validate this technique in a cohort of head and neck cancer patients who undergo neck dissection surgery. Histopathology wills serve as the gold standard and the correlation will be made on a (neck)level-to-level and node-to-node basis. Since the investigators have no experience in reading USPIO-enhanced MR images of the neck with 3-dimensional iron-sensitive MR sequences, this study starts with an explorative part and will be followed by the pilot study. The explorative component aims at obtaining knowledge regarding visual features of (non-)metastatic cervical lymph nodes on USPIO-enhanced MR images. The purpose is that the observers work through a learning curve. The information obtained will be used to develop a scoring system for the radiologic assessment of cervical lymph nodes in the subsequent part of our study.
If USPIO-enhanced MRI is successful, this may obviate the need for a sentinel node procedure for example. Furthermore, it could guide treatment such as the performance of more selective neck dissections and de-escalation of the radiation dose to healthy tissues in order to decrease morbidity but maintaining high cure rates.
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25 participants in 1 patient group
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Tim Dijkema, MD, PhD; Daphne Driessen, MD
Data sourced from clinicaltrials.gov
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