Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer
Papillary thyroid carcinoma (PTC) can exhibit lateral neck lymph node metastasis at an early stage. Lateral neck lymph node metastasis is a crucial factor affecting the prognosis of PTC and is an absolute indication for neck lymph node dissection surgery. Additionally, it is a relative contraindicat...
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Magazine House of Cancer Research on Prevention and Treatment
2025-01-01
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| Series: | Zhongliu Fangzhi Yanjiu |
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| Online Access: | http://www.zlfzyj.com/cn/article/doi/10.3971/j.issn.1000-8578.2025.24.0761 |
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| author | Shengli SHAO Jiheng WANG Shanting LIU |
| author_facet | Shengli SHAO Jiheng WANG Shanting LIU |
| author_sort | Shengli SHAO |
| collection | DOAJ |
| description | Papillary thyroid carcinoma (PTC) can exhibit lateral neck lymph node metastasis at an early stage. Lateral neck lymph node metastasis is a crucial factor affecting the prognosis of PTC and is an absolute indication for neck lymph node dissection surgery. Additionally, it is a relative contraindication of endoscopic surgery for most medical centers. Therefore, the preoperative identification of lateral neck lymph node metastasis is vital for surgical decision-making and prognosis assessment. Ultrasound, CT, cytology, and clinical features can provide some information on lateral neck lymph node metastasis, but their accuracy does not fully meet clinical needs. Deep learning is a primary method for medical image recognition or feature extraction. In recent years, deep learning-based ultrasound, CT, cytology, conventional clinical parameters, or multimodal models combining these data have been developed and are expected to achieve routine clinical application. With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. Furthermore, it can be integrated into electronic medical record systems for automated real-time analysis and assist clinical decision-making. |
| format | Article |
| id | doaj-art-cbfea8e92cfd4dab955dac3c308ddc60 |
| institution | Kabale University |
| issn | 1000-8578 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Magazine House of Cancer Research on Prevention and Treatment |
| record_format | Article |
| series | Zhongliu Fangzhi Yanjiu |
| spelling | doaj-art-cbfea8e92cfd4dab955dac3c308ddc602025-01-23T07:44:48ZzhoMagazine House of Cancer Research on Prevention and TreatmentZhongliu Fangzhi Yanjiu1000-85782025-01-01521364110.3971/j.issn.1000-8578.2025.24.076120240761Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid CancerShengli SHAO0Jiheng WANG1Shanting LIU2Department of Head Neck and Thyroid Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, ChinaDepartment of Head Neck and Thyroid Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, ChinaDepartment of Head Neck and Thyroid Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, ChinaPapillary thyroid carcinoma (PTC) can exhibit lateral neck lymph node metastasis at an early stage. Lateral neck lymph node metastasis is a crucial factor affecting the prognosis of PTC and is an absolute indication for neck lymph node dissection surgery. Additionally, it is a relative contraindication of endoscopic surgery for most medical centers. Therefore, the preoperative identification of lateral neck lymph node metastasis is vital for surgical decision-making and prognosis assessment. Ultrasound, CT, cytology, and clinical features can provide some information on lateral neck lymph node metastasis, but their accuracy does not fully meet clinical needs. Deep learning is a primary method for medical image recognition or feature extraction. In recent years, deep learning-based ultrasound, CT, cytology, conventional clinical parameters, or multimodal models combining these data have been developed and are expected to achieve routine clinical application. With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. Furthermore, it can be integrated into electronic medical record systems for automated real-time analysis and assist clinical decision-making.http://www.zlfzyj.com/cn/article/doi/10.3971/j.issn.1000-8578.2025.24.0761deep learningpapillary thyroid carcinomalymph node metastasismultimodal data |
| spellingShingle | Shengli SHAO Jiheng WANG Shanting LIU Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer Zhongliu Fangzhi Yanjiu deep learning papillary thyroid carcinoma lymph node metastasis multimodal data |
| title | Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer |
| title_full | Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer |
| title_fullStr | Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer |
| title_full_unstemmed | Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer |
| title_short | Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer |
| title_sort | application and thinking of deep learning in predicting lateral cervical lymph node metastasis of papillary thyroid cancer |
| topic | deep learning papillary thyroid carcinoma lymph node metastasis multimodal data |
| url | http://www.zlfzyj.com/cn/article/doi/10.3971/j.issn.1000-8578.2025.24.0761 |
| work_keys_str_mv | AT shenglishao applicationandthinkingofdeeplearninginpredictinglateralcervicallymphnodemetastasisofpapillarythyroidcancer AT jihengwang applicationandthinkingofdeeplearninginpredictinglateralcervicallymphnodemetastasisofpapillarythyroidcancer AT shantingliu applicationandthinkingofdeeplearninginpredictinglateralcervicallymphnodemetastasisofpapillarythyroidcancer |