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 *

187 related articles for article (PubMed ID: 35718542)

  • 41. Preoperative prediction of vasculogenic mimicry in lung adenocarcinoma using a CT radiomics model.
    Li S; Yang Z; Li Y; Zhao N; Yang Y; Zhang S; Jiang M; Wang J; Sun H; Xie Z
    Clin Radiol; 2024 Jan; 79(1):e164-e173. PubMed ID: 37940444
    [TBL] [Abstract][Full Text] [Related]  

  • 42. A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma.
    Cai W; He B; Hu M; Zhang W; Xiao D; Yu H; Song Q; Xiang N; Yang J; He S; Huang Y; Huang W; Jia F; Fang C
    Surg Oncol; 2019 Mar; 28():78-85. PubMed ID: 30851917
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 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]  

  • 44. Prediction of solid and micropapillary components in lung invasive adenocarcinoma: radiomics analysis from high-spatial-resolution CT data with 1024 matrix.
    Ninomiya K; Yanagawa M; Tsubamoto M; Sato Y; Suzuki Y; Hata A; Kikuchi N; Yoshida Y; Yamagata K; Doi S; Ogawa R; Tokuda Y; Kido S; Tomiyama N
    Jpn J Radiol; 2024 Jun; 42(6):590-598. PubMed ID: 38413550
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A nomogram based on the quantitative and qualitative features of CT imaging for the prediction of the invasiveness of ground glass nodules in lung adenocarcinoma.
    Yang Y; Xu J; Wang W; Ma M; Huang Q; Zhou C; Zhao J; Duan Y; Luo J; Jiang J; Ye L
    BMC Cancer; 2024 Apr; 24(1):438. PubMed ID: 38594670
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Value of contrast-enhanced magnetic resonance imaging-T2WI-based radiomic features in distinguishing lung adenocarcinoma from lung squamous cell carcinoma with solid components >8 mm.
    Yang M; Shi L; Huang T; Li G; Shao H; Shen Y; Zhu J; Ni B
    J Thorac Dis; 2023 Feb; 15(2):635-648. PubMed ID: 36910079
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
    Bian Y; Guo S; Jiang H; Gao S; Shao C; Cao K; Fang X; Li J; Wang L; Ma C; Zheng J; Jin G; Lu J
    Cancer Imaging; 2022 Jan; 22(1):4. PubMed ID: 34991733
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Feasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adenocarcinoma: in comparison with CT-based radiomics model.
    Lee S; Lee CY; Kim NY; Suh YJ; Lee HJ; Yong HS; Kim HR; Kim YJ
    Eur Radiol; 2024 May; 34(5):3422-3430. PubMed ID: 37840100
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Predicting the Ki-67 proliferation index in pulmonary adenocarcinoma patients presenting with subsolid nodules: construction of a nomogram based on CT images.
    Yan J; Xue X; Gao C; Guo Y; Wu L; Zhou C; Chen F; Xu M
    Quant Imaging Med Surg; 2022 Jan; 12(1):642-652. PubMed ID: 34993108
    [TBL] [Abstract][Full Text] [Related]  

  • 50. 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]  

  • 51. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
    Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
    Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
    Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation.
    Yang S; Wang Y; Shi Y; Yang G; Yan Q; Shen J; Wang Q; Zhang H; Yang S; Shan F; Zhang Z
    Magn Reson Imaging; 2022 Jan; 85():80-86. PubMed ID: 34666158
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Development and validation a radiomics nomogram for diagnosing occult brain metastases in patients with stage IV lung adenocarcinoma.
    Cong P; Qiu Q; Li X; Sun Q; Yu X; Yin Y
    Transl Cancer Res; 2021 Oct; 10(10):4375-4386. PubMed ID: 35116296
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Clinical and CT Radiomics Nomogram for Preoperative Differentiation of Pulmonary Adenocarcinoma From Tuberculoma in Solitary Solid Nodule.
    Zhuo Y; Zhan Y; Zhang Z; Shan F; Shen J; Wang D; Yu M
    Front Oncol; 2021; 11():701598. PubMed ID: 34712605
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules.
    Wu YJ; Liu YC; Liao CY; Tang EK; Wu FZ
    Sci Rep; 2021 Jan; 11(1):66. PubMed ID: 33462251
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Development of a novel combined nomogram integrating deep-learning-assisted CT texture and clinical-radiological features to predict the invasiveness of clinical stage IA part-solid lung adenocarcinoma: a multicentre study.
    Zuo Z; Zeng W; Peng K; Mao Y; Wu Y; Zhou Y; Qi W
    Clin Radiol; 2023 Oct; 78(10):e698-e706. PubMed ID: 37487842
    [TBL] [Abstract][Full Text] [Related]  

  • 58. A Computed Tomography Radiomics Nomogram in Differentiating Chordoma From Giant Cell Tumor in the Axial Skeleton.
    Nie P; Zhao X; Wang N; Ma J; Zuo P; Hao D; Yu T
    J Comput Assist Tomogr; 2023 May-Jun 01; 47(3):453-459. PubMed ID: 37185010
    [TBL] [Abstract][Full Text] [Related]  

  • 59. 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]  

  • 60. 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]  

    [Previous]   [Next]    [New Search]
    of 10.