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 *

155 related articles for article (PubMed ID: 38977273)

  • 1. Machine learning-based CT radiomics enhances bladder cancer staging predictions: A comparative study of clinical, radiomics, and combined models.
    Xiong S; Fu Z; Deng Z; Li S; Zhan X; Zheng F; Yang H; Liu X; Xu S; Liu H; Fan B; Dong W; Song Y; Fu B
    Med Phys; 2024 Jul; ():. PubMed ID: 38977273
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Value of the application of computed tomography-based radiomics for preoperative prediction of unfavorable pathology in initial bladder cancer.
    Xiong S; Dong W; Deng Z; Jiang M; Li S; Hu B; Liu X; Chen L; Xu S; Fan B; Fu B
    Cancer Med; 2023 Aug; 12(15):15868-15880. PubMed ID: 37434436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
    Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
    Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
    Wang Y; Bai G; Huang M; Chen W
    Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine Learning Classifier for Preoperative Prediction of Early Recurrence After Bronchial Arterial Chemoembolization Treatment in Lung Cancer Patients.
    Kong C; Lai L; Jin X; Chen W; Ding J; Zheng L; Zhang D; Ying X; Chen X; Chen M; Tu J; Ji J
    Acad Radiol; 2023 Dec; 30(12):2880-2893. PubMed ID: 37225529
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Contrast-enhanced CT radiomics for preoperative prediction of stage in epithelial ovarian cancer: a multicenter study.
    Leng Y; Kan A; Wang X; Li X; Xiao X; Wang Y; Liu L; Gong L
    BMC Cancer; 2024 Mar; 24(1):307. PubMed ID: 38448945
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer.
    Deng Z; Dong W; Xiong S; Jin D; Zhou H; Zhang L; Xie L; Deng Y; Xu R; Fan B
    Front Oncol; 2023; 13():1166245. PubMed ID: 37223680
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma.
    Xu H; Wu W; Zhao Y; Liu Z; Bao D; Li L; Lin M; Zhang Y; Zhao X; Luo D
    Cancer Imaging; 2023 Dec; 23(1):118. PubMed ID: 38098119
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study.
    Sun R; Zhang M; Yang L; Yang S; Li N; Huang Y; Song H; Wang B; Huang C; Hou F; Wang H
    Insights Imaging; 2024 Jan; 15(1):21. PubMed ID: 38270647
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
    Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
    Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
    [No Abstract]   [Full Text] [Related]  

  • 12. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
    Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
    Front Oncol; 2022; 12():944005. PubMed ID: 36081562
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The predictive potential of contrast-enhanced computed tomography based radiomics in the preoperative staging of cT4 gastric cancer.
    Liu B; Zhang D; Wang H; Wang H; Zhang P; Zhang D; Zhang Q; Zhang J
    Quant Imaging Med Surg; 2022 Nov; 12(11):5222-5238. PubMed ID: 36330185
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors.
    Yu Q; Wang A; Gu J; Li Q; Ning Y; Peng J; Lv F; Zhang X
    Front Oncol; 2022; 12():913898. PubMed ID: 35847942
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative prediction of sonic hedgehog and group 4 molecular subtypes of pediatric medulloblastoma based on radiomics of multiparametric MRI combined with clinical parameters.
    Wang Y; Wang L; Qin B; Hu X; Xiao W; Tong Z; Li S; Jing Y; Li L; Zhang Y
    Front Neurosci; 2023; 17():1157858. PubMed ID: 37113160
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
    Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
    World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features.
    Tan Y; Feng LJ; Huang YH; Xue JW; Long LL; Feng ZB
    Transl Oncol; 2024 Feb; 40():101864. PubMed ID: 38141376
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Radiomics Model Based on CT Images Combined with Multiple Machine Learning Models to Predict the Prognosis of Spontaneous Intracerebral Hemorrhage.
    Pei L; Fang T; Xu L; Ni C
    World Neurosurg; 2024 Jan; 181():e856-e866. PubMed ID: 37931880
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study.
    Xv Y; Lv F; Guo H; Zhou X; Tan H; Xiao M; Zheng Y
    Insights Imaging; 2021 Nov; 12(1):170. PubMed ID: 34800179
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.