journal article·2025-06-17

Preoperative Identification of Papillary Thyroid Carcinoma Subtypes and Lymph Node Metastasis via Deep Learning-Assisted Surface-Enhanced Raman Spectroscopy

Ze-Kai Hou, Jing Zhao, Mingjie Zhang, Wenjing Hou, Yuanyuan Li, Yang Yang, Yuanyuan Liu, Zhaoxiang Ye, Qiliang Cai, Xi Wei, Dingbin Liu, Cai Zhang

ACS Nano· Volume 19· Issue 23
Publisher page

Abstract

Accurate preoperative diagnosis of papillary thyroid carcinoma (PTC) histological subtypes and lymph node metastasis is essential for formulating personalized treatment strategies. However, their preoperative diagnosis is challenged by the limited reliability of cytological identification of histological subtypes and the low accuracy of lymph node detection using ultrasound imaging. Herein, a deep learning-assisted surface-enhanced Raman scattering (SERS) chip is developed for the preoperative diagnosis of PTC histological subtypes and evaluation of lymph node metastasis, using fine-needle aspiration (FNA) samples. The convolutional neural network algorithm is used to analyze Raman spectral fingerprints, successfully distinguishing PTC subtypes and lymph node metastasis with an accuracy of 95.83%. Moreover, the deep learning-assisted SERS platform has been successfully employed to identify central cervical lymph node metastasis with an accuracy of 100%. This approach highlights the potential of personalized medicine, facilitating the development of individualized treatment strategies, reducing overtreatment, and mitigating recurrence risk.
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Research context

OpenAlex topics: Spectroscopy Techniques in Biomedical and Chemical Research · Molecular Biology Techniques and Applications · AI in cancer detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Urology

The Second Hospital of Tianjin Medical University

Department of Diagnostic and Therapeutic Ultrasonography

Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer

National Clinical Research Centre of Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology

Tianjin Medical University Cancer Institute and Hospital

College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Molecular Recognition and Biosensing

Nankai University

Funding

Natural Science Foundation of Tianjin Municipality · National Key Research and Development Program of China · Tianjin Municipal Bureau of Public Health · National Natural Science Foundation of China · Construction Project of Cancer Precision Diagnosis and Drug Treatment Technology · Tianjin Institute of Urology · Tianjin Key Medical Discipline (Specialty) Construction Project

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