Abstract

Terahertz (THz) imaging was used to differentiate the metastatic states of frozen lymph nodes (LNs) by using spectroscopic integration technique (SIT). The metastatic states were classified into three groups: healthy LNs, completely metastatic LNs, and partially metastatic LNs, which were obtained from three mice without infection and six mice infected with murine melanoma cells for 30 days and 15 days, respectively. Under histological examination, the healthy LNs and completely metastatic LNs were found to have a homogeneous cellular structure but the partially metastatic LNs had interfaces of the melanoma and healthy tissue. THz signals between the experimental groups were not distinguished at room temperature due to high attenuation by water in the tissues. However, a signal gap between the healthy and completely metastatic LNs was detected at freezing temperature. The signal gap could be enhanced by using SIT that is a signal processing method dichotomizing the signal difference between the healthy cells and melanoma cells with their normalized spectral integration. This technique clearly imaged the interfaces in the partially metastatic LNs, which could not be achieved by existing methods using a peak point or spectral value. The image resolution was high enough to recognize a metastatic area of about 0.7 mm size in the partially metastatic LNs. Therefore, this pilot study demonstrated that THz imaging of the frozen specimen using SIT can be used to diagnose the metastatic state of LNs for clinical application.

Highlights

  • Regional lymph node (LN) metastasis is an important cancer model, capturing the prognostic factors of malignant tumors for many malignancies [1,2,3]

  • Terahertz (THz) imaging was used to differentiate the metastatic states of frozen lymph nodes (LNs) by using spectroscopic integration technique (SIT)

  • The metastatic states were classified into three groups: healthy LNs, completely metastatic LNs, and partially metastatic LNs, which were obtained from three mice without infection and six mice infected with murine melanoma cells for 30 days and 15 days, respectively

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Summary

Introduction

Regional lymph node (LN) metastasis is an important cancer model, capturing the prognostic factors of malignant tumors for many malignancies [1,2,3]. For early detection of metastatic LNs, radiological imaging techniques such as X-ray computerized tomography (CT), positron emission tomography (PET), PET-CT, and magnetic resonance imaging (MRI) have been used [4,5,6,7,8]. Conventional terahertz (THz) imaging is promising for achieving good imaging quality, as shown using paraffin-embedded LN models [10]. Frozen THz imaging has been shown to successfully detect small signal differences between normal and cancerous oral tissues [11, 12]. These earlier studies suggest that THz imaging is promising for the diagnostics of metastatic LN cancer

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