176 related articles for article (PubMed ID: 36114765)
61. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer].
Jia CL; Cao Y; Song Q; Zhang WB; Li JJ; Wu XX; Yu PY; Mou YK; Mao N; Song XC
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec; 55(12):1154-1161. PubMed ID: 33342131
[No Abstract] [Full Text] [Related]
62. Prediction of Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma: A Radiomics Method Based on Preoperative Ultrasound Images.
Liu T; Zhou S; Yu J; Guo Y; Wang Y; Zhou J; Chang C
Technol Cancer Res Treat; 2019 Jan; 18():1533033819831713. PubMed ID: 30890092
[TBL] [Abstract][Full Text] [Related]
63. Using ultrasound features and radiomics analysis to predict lymph node metastasis in patients with thyroid cancer.
Li F; Pan D; He Y; Wu Y; Peng J; Li J; Wang Y; Yang H; Chen J
BMC Surg; 2020 Dec; 20(1):315. PubMed ID: 33276765
[TBL] [Abstract][Full Text] [Related]
64. Diagnostic value of magnetic resonance imaging in cervical lymph node metastasis of oral squamous cell carcinoma.
Wang Y; Mao M; Li J; Feng Z; Qin L; Han Z
Oral Surg Oral Med Oral Pathol Oral Radiol; 2022 May; 133(5):582-592. PubMed ID: 34953758
[TBL] [Abstract][Full Text] [Related]
65. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
[TBL] [Abstract][Full Text] [Related]
66. Usefulness of 3T diffusion-weighted MRI for discrimination of reactive and metastatic cervical lymph nodes in patients with oral squamous cell carcinoma: a pilot study.
Si J; Huang S; Shi H; Liu Z; Hu Q; Wang G; Shen G; Zhang D
Dentomaxillofac Radiol; 2014; 43(3):20130202. PubMed ID: 24408820
[TBL] [Abstract][Full Text] [Related]
67. Utility of diffusion weighted imaging-based radiomics nomogram to predict pelvic lymph nodes metastasis in prostate cancer.
Liu X; Tian J; Wu J; Zhang Y; Wang X; Zhang X; Wang X
BMC Med Imaging; 2022 Nov; 22(1):190. PubMed ID: 36333664
[TBL] [Abstract][Full Text] [Related]
68. Prediction of the number of metastatic axillary lymph nodes in breast cancer by radiomic signature based on dynamic contrast-enhanced MRI.
Li L; Yu T; Sun J; Jiang S; Liu D; Wang X; Zhang J
Acta Radiol; 2022 Aug; 63(8):1014-1022. PubMed ID: 34162234
[TBL] [Abstract][Full Text] [Related]
69. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
[TBL] [Abstract][Full Text] [Related]
70. Diagnostic Value of MRI Combined with CXCR4 Expression Level in Lymph Node Metastasis Head and Neck Squamous Cell Carcinoma.
Zhao J; Li X; Wang M; Liu F; Wang J
Comput Math Methods Med; 2022; 2022():4073918. PubMed ID: 35309836
[TBL] [Abstract][Full Text] [Related]
71. 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]
72. Lymph-node Epstein-Barr virus concentration in diagnosing cervical lymph-node metastasis in nasopharyngeal carcinoma.
Li H; Huang C; Chen Q; Peng C; Zhang R; Shen J; Chen M; Mai H; Zou R
Eur Arch Otorhinolaryngol; 2020 Sep; 277(9):2513-2520. PubMed ID: 32240363
[TBL] [Abstract][Full Text] [Related]
73. Feasibility of Predicting Pelvic Lymph Node Metastasis Based on IVIM-DWI and Texture Parameters of the Primary Lesion and Lymph Nodes in Patients with Cervical Cancer.
Zhang Y; Zhang KY; Jia HD; Fang X; Lin TT; Wei C; Qian LT; Dong JN
Acad Radiol; 2022 Jul; 29(7):1048-1057. PubMed ID: 34654623
[TBL] [Abstract][Full Text] [Related]
74. Apparent diffusion coefficient values of necrotic and solid portion of lymph nodes: differential diagnostic value in cervical lymphadenopathy.
Zhang Y; Chen J; Shen J; Zhong J; Ye R; Liang B
Clin Radiol; 2013 Mar; 68(3):224-31. PubMed ID: 22316593
[TBL] [Abstract][Full Text] [Related]
75. Multimodal Prediction of Cervical Lymph Node Metastasis and Recurrence in Oral Squamous Cell Carcinoma.
Kanemoto H; Obata K; Umemori K; Hasegawa K; Ono S; Ono K; Yutori H; Ibaragi S
Anticancer Res; 2023 Nov; 43(11):4993-5001. PubMed ID: 37909954
[TBL] [Abstract][Full Text] [Related]
76. Pharmacokinetic parameters and radiomics model based on dynamic contrast enhanced MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer.
Liu M; Mao N; Ma H; Dong J; Zhang K; Che K; Duan S; Zhang X; Shi Y; Xie H
Cancer Imaging; 2020 Sep; 20(1):65. PubMed ID: 32933585
[TBL] [Abstract][Full Text] [Related]
77. Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.
Suh CH; Lee KH; Choi YJ; Chung SR; Baek JH; Lee JH; Yun J; Ham S; Kim N
Sci Rep; 2020 Oct; 10(1):17525. PubMed ID: 33067484
[TBL] [Abstract][Full Text] [Related]
78. Prediction of Individual Lymph Node Metastatic Status in Esophageal Squamous Cell Carcinoma Using Routine Computed Tomography Imaging: Comparison of Size-Based Measurements and Radiomics-Based Models.
Xie C; Hu Y; Han L; Fu J; Vardhanabhuti V; Yang H
Ann Surg Oncol; 2022 Dec; 29(13):8117-8126. PubMed ID: 36018524
[TBL] [Abstract][Full Text] [Related]
79. Clinical application of body diffusion weighted MR imaging in the diagnosis and preoperative N staging of cervical cancer.
Xue HD; Li S; Sun F; Sun HY; Jin ZY; Yang JX; Yu M
Chin Med Sci J; 2008 Sep; 23(3):133-7. PubMed ID: 18853846
[TBL] [Abstract][Full Text] [Related]
80. Diffusion weighted magnetic resonance imaging is a feasible method for characterizing regional lymph nodes in canine patients with head and neck disease.
Stahle JA; Larson MM; Rossmeisl JH; Dervisis N; Neelis D
Vet Radiol Ultrasound; 2019 Mar; 60(2):176-183. PubMed ID: 30418693
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
