Article ; Online: Smart needle to diagnose metastatic lymph node using electrical impedance spectroscopy.
2020 Volume 48, Issue 2, Page(s) 281–287
Abstract: Objectives: The cause of cervical lymphadenopathy varies from inflammation to malignancy. Accurate and prompt diagnosis is crucial as delayed detection of malignant lymph node can lead to a worse prognosis. To improve the diagnostic accuracy of ... ...
Abstract | Objectives: The cause of cervical lymphadenopathy varies from inflammation to malignancy. Accurate and prompt diagnosis is crucial as delayed detection of malignant lymph node can lead to a worse prognosis. To improve the diagnostic accuracy of metastatic lymph node, electrical spectroscopy was employed to study human normal and metastatic lymph nodes using a hypodermic needle with fine interdigitated electrodes on its tip (EoN). Subjects and methods: The electrical impedance of samples collected from 8 patients were analyzed in the sweeping frequency range from 1 Hz to 1 MHz. To align the impedance level data of the patients, normalized impedance was employed. Results: The optimal frequency exhibiting the best discrimination results between the normal and cancerous tissues was introduced based on a discrimination index. A high sensitivity (86.2%) and specificity (88.9%) were obtained, which implied that the EoN holds the potential to improve the in vivo diagnostic accuracy of metastatic lymph node during biopsy and surgery. Conclusion: EoN has a promising potential to be utilized in real-time in actual clinical trials without a need for any pre/post-treatment during FNA or surgery. We believe that the EoN could reduce unnecessary operations with its associated morbidity. |
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MeSH term(s) | Biopsy, Needle/instrumentation ; Biopsy, Needle/methods ; Dielectric Spectroscopy ; Electrodes ; Humans ; Lymph Nodes/pathology ; Lymphatic Metastasis/diagnosis ; Lymphatic Metastasis/pathology ; Reference Values ; Sensitivity and Specificity |
Language | English |
Publishing date | 2020-12-04 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 604552-2 |
ISSN | 1879-1476 ; 0385-8146 |
ISSN (online) | 1879-1476 |
ISSN | 0385-8146 |
DOI | 10.1016/j.anl.2020.08.011 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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