Intelligent precision minimally invasive treatment of lateral lymph nodes in papillary thyroid carcinoma
10.3760/cma.j.cn115396-20241129-00364
- VernacularTitle:甲状腺乳头状癌颈侧区淋巴结的智能精准微创化处理
- Author:
Qingqing HE
1
;
Yunhan MA
Author Information
1. 中国人民解放军联勤保障部队第九六〇医院甲状腺乳腺外科，济南 250031
- Keywords:
Thyroid neoplasms;
Neck dissection;
Surgical procedures, minimally invasive;
Intelligent precision minimally invasive surgery;
Robosurgeon;
Expanded centra
- From:
International Journal of Surgery
2025;52(1):7-14
- CountryChina
- Language:Chinese
-
Abstract:
Papillary thyroid carcinoma (PTC) is prone to lateral lymph node metastasis (LLNM). It is crucial to assess the status of lateral lymph nodes accurately before surgery, determine the appropriate surgical scope and minimize trauma to patients while thoroughly cleaning. Preoperative evaluation is constantly advancing towards intelligence and precision, and the use of contrast enhanced ultrasound, detection of fine needle aspiration eluent, three-dimensional visualization technology, and contrast enhanced CT-based deep learning model in clinical practice can improve the accuracy of diagnosing LLNM. The new directions for the development of preoperative evaluation include contrast enhanced US, new fine needle aspiration eluent markers, rapid detection of eluent, the combination of radiomics and artificial intelligence. The exploration of risk factors for LLNM has been a hot research topic in recent years, and clinical prediction models can be constructed based on different risk factors and applied in clinical practice. This article presents the top ten risk factors commonly used in clinical research and lists multiple new predictive indicators, which are combined with nomograms for personalized prediction. At the same time, the controversial points in the clinical management of occult LLNM are discussed, as well as the latest progress in the treatment of lateral lymph nodes in PTC.
