170 related articles for article (PubMed ID: 33486344)
1. Development and validation of a nomogram for preoperative prediction of level VII nodal spread in papillary thyroid cancer: Radiologic-pathologic correlation.
Li S; Yun M; Hong G; Tian L; Yang A; Liu L
Surg Oncol; 2021 Jun; 37():101520. PubMed ID: 33486344
[TBL] [Abstract][Full Text] [Related]
2. Radiomics from Primary Tumor on Dual-Energy CT Derived Iodine Maps can Predict Cervical Lymph Node Metastasis in Papillary Thyroid Cancer.
Zhou Y; Su GY; Hu H; Tao XW; Ge YQ; Si Y; Shen MP; Xu XQ; Wu FY
Acad Radiol; 2022 Mar; 29 Suppl 3():S222-S231. PubMed ID: 34366279
[TBL] [Abstract][Full Text] [Related]
3. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
[TBL] [Abstract][Full Text] [Related]
4. Nomogram for Predicting Central Lymph Node Metastasis in Papillary Thyroid Cancer: A Retrospective Cohort Study of Two Clinical Centers.
Yang Z; Heng Y; Lin J; Lu C; Yu D; Tao L; Cai W
Cancer Res Treat; 2020 Oct; 52(4):1010-1018. PubMed ID: 32599980
[TBL] [Abstract][Full Text] [Related]
5. A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma.
Wen Q; Wang Z; Traverso A; Liu Y; Xu R; Feng Y; Qian L
Front Endocrinol (Lausanne); 2022; 13():1064434. PubMed ID: 36531493
[TBL] [Abstract][Full Text] [Related]
6. An integrated nomogram combining deep learning, clinical characteristics and ultrasound features for predicting central lymph node metastasis in papillary thyroid cancer: A multicenter study.
Chang L; Zhang Y; Zhu J; Hu L; Wang X; Zhang H; Gu Q; Chen X; Zhang S; Gao M; Wei X
Front Endocrinol (Lausanne); 2023; 14():964074. PubMed ID: 36896175
[TBL] [Abstract][Full Text] [Related]
7. A nomogram model based on the preoperative clinical characteristics of papillary thyroid carcinoma with Hashimoto's thyroiditis to predict central lymph node metastasis.
Zhao W; He L; Zhu J; Su A
Clin Endocrinol (Oxf); 2021 Feb; 94(2):310-321. PubMed ID: 32984984
[TBL] [Abstract][Full Text] [Related]
8. Construction and validation of a nomogram for predicting cervical lymph node metastasis in classic papillary thyroid carcinoma.
Feng Y; Min Y; Chen H; Xiang K; Wang X; Yin G
J Endocrinol Invest; 2021 Oct; 44(10):2203-2211. PubMed ID: 33586026
[TBL] [Abstract][Full Text] [Related]
9. Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma.
Jiang M; Li C; Tang S; Lv W; Yi A; Wang B; Yu S; Cui X; Dietrich CF
Thyroid; 2020 Jun; 30(6):885-897. PubMed ID: 32027225
[No Abstract] [Full Text] [Related]
10. CT Radiomics-Based Nomogram for Predicting the Lateral Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Prospective Multicenter Study.
Dong L; Han X; Yu P; Zhang W; Wang C; Sun Q; Song F; Zhang H; Zheng G; Mao N; Song X
Acad Radiol; 2023 Dec; 30(12):3032-3046. PubMed ID: 37210266
[TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a Dual-Energy CT-Based Model for Predicting the Number of Central Lymph Node Metastases in Clinically Node-Negative Papillary Thyroid Carcinoma.
Chen W; Lin G; Cheng F; Kong C; Li X; Zhong Y; Hu Y; Su Y; Weng Q; Chen M; Xia S; Lu C; Xu M; Ji J
Acad Radiol; 2024 Jan; 31(1):142-156. PubMed ID: 37280128
[TBL] [Abstract][Full Text] [Related]
12. Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer.
Zhou Y; Su GY; Hu H; Ge YQ; Si Y; Shen MP; Xu XQ; Wu FY
Eur Radiol; 2020 Nov; 30(11):6251-6262. PubMed ID: 32500193
[TBL] [Abstract][Full Text] [Related]
13. A computed tomography-based radiomic nomogram for predicting lymph node metastasis in patients with early-stage papillary thyroid carcinoma.
Lai L; Guan Q; Liang Y; Chen J; Liao Y; Xu H; Wei X
Acta Radiol; 2022 Sep; 63(9):1187-1195. PubMed ID: 34859689
[TBL] [Abstract][Full Text] [Related]
14. Nomogram for preoperative estimation risk of lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multicenter study.
Zhu J; Chang L; Li D; Yue B; Wei X; Li D; Wei X
Cancer Imaging; 2023 Jun; 23(1):55. PubMed ID: 37264400
[TBL] [Abstract][Full Text] [Related]
15. A Specific Predicting Model for Screening Skip Metastasis From Patients With Negative Central Lymph Nodes Metastasis in Papillary Thyroid Cancer.
Yang Z; Heng Y; Zhao Q; Cao Z; Tao L; Qiu W; Cai W
Front Endocrinol (Lausanne); 2021; 12():743900. PubMed ID: 34659126
[TBL] [Abstract][Full Text] [Related]
16. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
[TBL] [Abstract][Full Text] [Related]
17. A Preoperative Nomogram for the Prediction of High-Volume Central Lymph Node Metastasis in Papillary Thyroid Carcinoma.
Lin P; Liang F; Ruan J; Han P; Liao J; Chen R; Luo B; Ouyang N; Huang X
Front Endocrinol (Lausanne); 2021; 12():753678. PubMed ID: 35002954
[TBL] [Abstract][Full Text] [Related]
18. Validation and Comparison of Nomograms in Predicting Disease-Specific Survival for Papillary Thyroid Carcinoma.
Lang BH; Wong CK
World J Surg; 2015 Aug; 39(8):1951-8. PubMed ID: 25809064
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
[TBL] [Abstract][Full Text] [Related]
20. Added value of arterial enhancement fraction derived from dual-energy computed tomography for preoperative diagnosis of cervical lymph node metastasis in papillary thyroid cancer: initial results.
Zhou Y; Xu YK; Geng D; Wang JW; Chen XB; Si Y; Shen MP; Su GY; Xu XQ; Wu FY
Eur Radiol; 2024 Feb; 34(2):1292-1301. PubMed ID: 37589903
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
