Smart needle to diagnose metastatic lymph node using electrical impedance spectroscopy.

Area of Science:

• Biomedical Engineering
• Oncology
• Diagnostic Technology

Background:

• Cervical lymphadenopathy diagnosis ranges from inflammation to malignancy, necessitating accurate and prompt identification.
• Delayed detection of malignant lymph nodes significantly worsens patient prognosis.
• Current diagnostic methods for metastatic lymph nodes can be invasive and time-consuming.

Purpose of the Study:

• To evaluate the efficacy of electrical spectroscopy using a novel electrode-on-needle (EoN) device for differentiating between normal and metastatic human lymph nodes.
• To assess the potential of EoN technology to enhance the in vivo diagnostic accuracy of lymph node biopsies.

Main Methods:

• Electrical impedance measurements were performed on lymph node samples from 8 patients across a frequency range of 1 Hz to 1 MHz.
• Normalized impedance was utilized to standardize impedance data across different patients.
• A discrimination index was applied to identify optimal frequencies for tissue differentiation.

Main Results:

• Electrical spectroscopy with the EoN device achieved high sensitivity (86.2%) and specificity (88.9%) in distinguishing cancerous from normal lymph node tissues.
• An optimal frequency was identified, demonstrating significant discriminatory power.
• The EoN technology showed potential for improving in vivo diagnostic accuracy during surgical procedures.

Conclusions:

• The electrode-on-needle (EoN) device demonstrates promising potential for real-time clinical application during fine-needle aspiration (FNA) or surgery.
• This technology could reduce the need for unnecessary invasive procedures and associated patient morbidity.
• EoN offers a non-invasive, rapid diagnostic approach for cervical lymphadenopathy assessment.