244 related articles for article (PubMed ID: 38287300)
41. Genomics Analysis and Nomogram Risk Prediction of Occult Lymph Node Metastasis in Non-Predominant Micropapillary Component of Lung Adenocarcinoma Measuring ≤ 3 cm.
Wang K; Xue M; Qiu J; Liu L; Wang Y; Li R; Qu C; Yue W; Tian H
Front Oncol; 2022; 12():945997. PubMed ID: 35912197
[TBL] [Abstract][Full Text] [Related]
42. Radiomics features from whole thyroid gland tissue for prediction of cervical lymph node metastasis in the patients with papillary thyroid carcinoma.
Lu S; Ren Y; Lu C; Qian X; Liu Y; Zhang J; Shan X; Sun E
J Cancer Res Clin Oncol; 2023 Nov; 149(14):13005-13016. PubMed ID: 37466794
[TBL] [Abstract][Full Text] [Related]
43. Nomogram for predicting the preoperative lymph node metastasis in resectable pancreatic cancer.
Cheng H; Xu JH; Kang XH; Liu XM; Wang HF; Wang ZX; Pan HQ; Zhang QQ; Xu XL
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12469-12477. PubMed ID: 37442865
[TBL] [Abstract][Full Text] [Related]
44. Development of an Active Surveillance or Surgery Model to Predict Lymph Node Metastasis in cN0 Papillary Thyroid Microcarcinoma.
Zhang H; Zheng X; Liu J; Gao M; Qian B
Front Endocrinol (Lausanne); 2022; 13():896121. PubMed ID: 35937812
[TBL] [Abstract][Full Text] [Related]
45. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
46. [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]
47. [Establishment of a nomogram model for predicting lymph node metastasis in patients with cN0 gastric cancer based on combination of preoperative C-reactive protein/albumin ratio].
Liu Q; Peng J; Jiang HG; Wang WB; Dai J; Zhou FX
Zhonghua Zhong Liu Za Zhi; 2019 Aug; 41(8):599-603. PubMed ID: 31434451
[No Abstract] [Full Text] [Related]
48. Nomogram Model Based on Iodine Nutrition and Clinical Characteristics of Papillary Thyroid Carcinoma to Predict Lateral Lymph Node Metastasis.
Wang J; Gao Y; Zong Y; Gao W; Wang X; Sun J; Miao S
Cancer Control; 2023; 30():10732748231193248. PubMed ID: 37671703
[TBL] [Abstract][Full Text] [Related]
49. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
50. 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]
51. A nomogram model for predicting the risk of axillary lymph node metastasis in patients with early breast cancer and cN0 status.
Zhang Z; Jiang Q; Wang J; Yang X
Oncol Lett; 2024 Aug; 28(2):345. PubMed ID: 38872855
[TBL] [Abstract][Full Text] [Related]
52. Nomogram for predicting preoperative regional lymph nodes metastasis in patients with metaplastic breast cancer: a SEER population-based study.
Zhang M; Wang B; Liu N; Wang H; Zhang J; Wu L; Zhao A; Wang L; Zhao X; Yang J
BMC Cancer; 2021 May; 21(1):565. PubMed ID: 34001061
[TBL] [Abstract][Full Text] [Related]
53. A mathematical prediction model incorporating molecular subtype for risk of non-sentinel lymph node metastasis in sentinel lymph node-positive breast cancer patients: a retrospective analysis and nomogram development.
Wang NN; Yang ZJ; Wang X; Chen LX; Zhao HM; Cao WF; Zhang B
Breast Cancer; 2018 Nov; 25(6):629-638. PubMed ID: 29696563
[TBL] [Abstract][Full Text] [Related]
54. [Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer].
Xue Z; Lu J; Lin J; Huang CM; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Zheng CH
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Apr; 25(4):327-335. PubMed ID: 35461201
[No Abstract] [Full Text] [Related]
55. Establishment and Validation of a Novel Nomogram for Predicting Distant Metastasis in Patients with Invasive Lung Adenocarcinoma.
Pang Z; Liu H; Chen Z; Zhu L
J Coll Physicians Surg Pak; 2022 Dec; 32(12):1563-1569. PubMed ID: 36474376
[TBL] [Abstract][Full Text] [Related]
56. A Nomogram Based on Nutrition-Related Indicators and Computed Tomography Imaging Features for Predicting Preoperative Lymph Node Metastasis in Curatively Resected Esophagogastric Junction Adenocarcinoma.
Liu CT; Peng YH; Hong CQ; Huang XY; Chu LY; Lin YW; Guo HP; Wu FC; Xu YW
Ann Surg Oncol; 2023 Aug; 30(8):5185-5194. PubMed ID: 37010663
[TBL] [Abstract][Full Text] [Related]
57. [Construction of A Nomogram Prediction Model for PD-L1 Expression
in Non-small Cell Lung Cancer Based on 18F-FDG PET/CT Metabolic Parameters].
Hao L; Wang L; Zhang M; Yan J; Zhang F
Zhongguo Fei Ai Za Zhi; 2023 Nov; 26(11):833-842. PubMed ID: 38061885
[TBL] [Abstract][Full Text] [Related]
58. Development and validation of a nomogram to predict liver metastasis for pancreatic ductal adenocarcinoma after radical resection.
Tong J; Jiang W; Mao S; Wu S; Lu C
Front Oncol; 2022; 12():1040411. PubMed ID: 36479089
[TBL] [Abstract][Full Text] [Related]
59. A Nomogram of Combining IVIM-DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively.
Jia H; Jiang X; Zhang K; Shang J; Zhang Y; Fang X; Gao F; Li N; Dong J
J Magn Reson Imaging; 2022 Sep; 56(3):658-667. PubMed ID: 35090079
[TBL] [Abstract][Full Text] [Related]
60. Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study.
Wang Y; Lyu D; Zhang D; Hu L; Wu J; Tu W; Xiao Y; Fan L; Liu S
Diagn Interv Radiol; 2023 Nov; 29(6):771-785. PubMed ID: 37724737
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
