Image_1_Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.TIFF

Image_1_Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.TIFF

<p>Purpose: While there are no clear indications of whether central lymph node dissection is necessary in patients with T1-T2, non-invasive, clinically uninvolved central neck lymph nodes papillary thyroid carcinoma (PTC), this study seeks to develop and validate models for predicting the risk...

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Bibliographic Details
Main Author: Jiang Zhu (40858) (author)
Other Authors: Jinxin Zheng (6380957) (author), Longfei Li (589618) (author), Rui Huang (141490) (author), Haoyu Ren (10275791) (author), Denghui Wang (10275794) (author), Zhijun Dai (2240668) (author), Xinliang Su (10275797) (author)
Published: 2021
Subjects:
Dermatology
Emergency Medicine
Gastroenterology and Hepatology
Geriatrics and Gerontology
Intensive Care
Medical Genetics (excl. Cancer Genetics)
Nephrology and Urology
Nuclear Medicine
Orthopaedics
Otorhinolaryngology
Pathology (excl. Oral Pathology)
Radiology and Organ Imaging
Foetal Development and Medicine
Obstetrics and Gynaecology
Family Care
Primary Health Care
Medical and Health Sciences not elsewhere classified
papillary thyroid carcinoma
central lymph node metastasis
machine learning algorithms
lymph node dissections
prediction model
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