These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

778 related articles for article (PubMed ID: 33560457)

  • 41. 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]  

  • 42. Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.
    Wang X; Li C; Fang M; Zhang L; Zhong L; Dong D; Tian J; Shan X
    BMC Med Imaging; 2021 Mar; 21(1):58. PubMed ID: 33757460
    [TBL] [Abstract][Full Text] [Related]  

  • 43. [
    Yang M; Li X; Cai C; Liu C; Ma M; Qu W; Zhong S; Zheng E; Zhu H; Jin F; Shi H
    Eur Radiol; 2024 Jul; 34(7):4352-4363. PubMed ID: 38127071
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Prospective study of dual-phase
    Cheng L; Gao H; Wang Z; Guo L; Wang X; Jin G
    Eur J Radiol; 2024 Oct; 179():111657. PubMed ID: 39163806
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Radiomics model based on preoperative 18F-fluorodeoxyglucose PET predicts N2-3b lymph node metastasis in gastric cancer patients.
    Xue XQ; Yu WJ; Shao XL; Li XF; Niu R; Zhang FF; Shi YM; Wang YT
    Nucl Med Commun; 2022 Mar; 43(3):340-349. PubMed ID: 34954765
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma.
    Gao J; Han F; Jin Y; Wang X; Zhang J
    Front Oncol; 2020; 10():1654. PubMed ID: 32974205
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma.
    Niu XK; He XF
    World J Gastroenterol; 2021 Jan; 27(2):189-207. PubMed ID: 33510559
    [TBL] [Abstract][Full Text] [Related]  

  • 48. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
    Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H
    Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Clinico-biological-radiomics (CBR) based machine learning for improving the diagnostic accuracy of FDG-PET false-positive lymph nodes in lung cancer.
    Ren C; Zhang F; Zhang J; Song S; Sun Y; Cheng J
    Eur J Med Res; 2023 Dec; 28(1):554. PubMed ID: 38042812
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Machine learning based on clinico-biological features integrated
    Ren C; Zhang J; Qi M; Zhang J; Zhang Y; Song S; Sun Y; Cheng J
    Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1538-1549. PubMed ID: 33057772
    [TBL] [Abstract][Full Text] [Related]  

  • 51. An
    Feng L; Lu X; Yang X; Kan Y; Sun D; Wang W; Yang J
    Eur J Radiol; 2022 Sep; 154():110444. PubMed ID: 35917754
    [TBL] [Abstract][Full Text] [Related]  

  • 52. 2-[
    Xu L; Huang G; Wang Y; Huang G; Liu J; Chen R
    Eur J Nucl Med Mol Imaging; 2024 May; 51(6):1729-1740. PubMed ID: 38150017
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
    Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
    Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
    Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
    Li C; Yin J
    Front Oncol; 2021; 11():671354. PubMed ID: 34041033
    [TBL] [Abstract][Full Text] [Related]  

  • 56. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
    Sun F; Chen Y; Chen X; Sun X; Xing L
    Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Radiomics Nomogram for Predicting Locoregional Failure in Locally Advanced Non-small Cell Lung Cancer Treated with Definitive Chemoradiotherapy.
    Chen X; Tong X; Qiu Q; Sun F; Yin Y; Gong G; Xing L; Sun X
    Acad Radiol; 2022 Feb; 29 Suppl 2():S53-S61. PubMed ID: 33308945
    [TBL] [Abstract][Full Text] [Related]  

  • 58. CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy.
    Li Y; Lv X; Wang Y; Xu Z; Lv Y; Hou D
    Eur Radiol Exp; 2023 Nov; 7(1):64. PubMed ID: 37914925
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection.
    Xie T; Wang X; Li M; Tong T; Yu X; Zhou Z
    Eur Radiol; 2020 May; 30(5):2513-2524. PubMed ID: 32006171
    [TBL] [Abstract][Full Text] [Related]  

  • 60. 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]  

    [Previous]   [Next]    [New Search]
    of 39.