ArticleBiomedical optics express2017
Terahertz imaging of metastatic lymph nodes using spectroscopic integration technique.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Review
- Artificial Intelligence-Assisted Terahertz Imaging for Rapid and Label-Free Identification of Efficient Light Formula in Laser Therapy.Biosensors · 2022Article
- Temperature dependent terahertz spectroscopy and imaging of orthotopic brain gliomas in mouse models.Biomedical optics express · 2022Article
- Spatial Domain Terahertz Image Reconstruction Based on Dual Sparsity Constraints.Sensors (Basel, Switzerland) · 2021Article
- [New Trends of Development in Precision Pathological Diagnosis Promoted by Artificial Intelligence].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021Review
- Machine Learning Techniques for THz Imaging and Time-Domain Spectroscopy.Sensors (Basel, Switzerland) · 2021Review
- Terahertz radiation and the skin: a review.Journal of biomedical optics · 2021Review
- In situ terahertz monitoring of an ice ball formation during tissue cryosurgery: a feasibility test.Journal of biomedical optics · 2021Article
- Automatic recognition of breast invasive ductal carcinoma based on terahertz spectroscopy with wavelet packet transform and machine learning.Biomedical optics express · 2020Article
- Study ofBiomedical optics express · 2019Article
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Authors and funding
6 authors.
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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.
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