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Peer-reviewed veterinary case report

Using nanoparticle MRI to detect lymph node cancer spread in dogs

By Griffin, Lynn et al.·Published in Veterinary and comparative oncology·2020·Veterinary Diagnostic Imaging Department, United States·View original on PubMed

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Original publication title: Pilot study to evaluate the efficacy of lymphotropic nanoparticle enhanced MRI for diagnosis of metastatic disease in canine head and neck tumours.

Species:
dog

Plain-English summary

A group of six dogs with head and neck tumors underwent a special type of MRI called lymphotropic nanoparticle enhanced MRI (LNMRI) to check for cancer spread to their lymph nodes. The MRI used tiny particles to help highlight areas affected by cancer, and the results showed that this method was very effective, with a 100% success rate in detecting metastasis (spread of cancer) in the lymph nodes. There were no side effects from the particles used in the procedure. This study suggests that LNMRI could be a promising tool for diagnosing cancer spread in dogs, but more research is needed to confirm its effectiveness in everyday veterinary practice.

People also search for: dog head and neck tumor treatment · canine lymph node cancer diagnosis · MRI for dog cancer detection

Abstract

This pilot study is designed to determine if lymphotropic nanoparticle enhanced MRI (LNMRI) is a viable technique for staging of naturally occurring canine malignant head and neck tumours. Previous imaging studies in veterinary medicine have shown variable sensitivity and specificity for determining metastasis for local lymph nodes in head and neck tumours. LNMRI utilizes ultra-small superparamagnetic iron oxide nanoparticles (USPIOs) to help in the detection of metastatic disease in lymph nodes. USPIOs are phagocytized and localized to normal lymph nodes where they assist in evaluation for regions of effacement by cancerous cells. Six dogs underwent LNMRI for the diagnosis of metastatic lymph nodes. A truncated MRI consisting of transverse images of T2, T1 pre- and post-contrast and T2* sequences were evaluated for presence of metastasis. Sentinel lymph nodes and lymph nodes with possible metastatic lesions were surgically excised for histological evaluation. In the initial phase of this study, 24 lymph nodes were included in analysis. Subjective observation by the primary investigator had a calculated sensitivity and specificity of 100% and 88% based on histological results. There were no negative side effects to the USPIOs noted in the limited number of patients in this study. Percentage signal intensity loss was calculated and found to be significantly different between metastatic and non-metastatic lymph nodes (P-value = .038). In conclusion, this pilot study shows that LNMRI has the potential to be a sensitive and specific method of diagnosing lymph node metastasis. Further research is warranted to determine if this method is clinically applicable and accurate.

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Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/31381843/