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DOI 10.1002/jmri.10280

Медицинская библиотека · Journal of magnetic resonance imaging : JMRI · 2003

Challenges in dynamic contrast-enhanced MRI imaging of cervical lymph nodes to detect metastatic disease.

Noworolski Susan M, Fischbein Nancy J, Kaplan Michael J, Lu Ying, Nelson Sarah J, Carvajal Lucas, Henry Roland G

СтатьяПоддержка исследования: вне правительства СШАПоддержка службы здравоохранения СШАПеревод пока не подготовлен

Аннотация

PURPOSE: To identify and overcome challenges in using dynamic contrast-enhanced magnetic resonance imaging (MRI) to distinguish tumor from nontumor in the cervical lymph nodes of patients with squamous cell carcinoma of the head and neck.

MATERIALS AND

METHODS

Signal-to-noise ratio (S/N), motion, node heterogeneity, and tissue normalizations were examined. Twenty-one patients with squamous cell carcinoma of the head and neck were scanned before a neck dissection (two-dimensional fast spoiled gradient-echo: 10 locations/13 seconds). Peak time, peak enhancement, maximum upslope, and washout slope were measured in pathologically confirmed tumor and nontumor nodes and in the submandibular gland and the sternocleidomastoid muscle.

RESULTS

Surface coil arrays provided high coverage and high S/N. Motion averaged 1.1 pixels and was corrected. Large tumor nodes were heterogeneous in their contrast enhancement, while the nontumor nodes were homogeneous. The contrast enhancement parameters were significantly different for all regions except for the submandibular gland compared to the nontumor nodes.

CONCLUSION

Challenges of dynamic imaging of cervical lymph nodes were overcome and significant differences were found between the tumor and nontumor nodes, indicating that dynamic imaging is feasible and may aid this patient population.

Для цитирования: Noworolski Susan M, Fischbein Nancy J, Kaplan Michael J, Lu Ying, Nelson Sarah J, Carvajal Lucas, Henry Roland G. Challenges in dynamic contrast-enhanced MRI imaging of cervical lymph nodes to detect metastatic disease.. Journal of magnetic resonance imaging : JMRI. 2003. DOI: 10.1002/jmri.10280.

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