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 *

367 related articles for article (PubMed ID: 37225529)

  • 1. 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]  

  • 2. Applying a nomogram based on preoperative CT to predict early recurrence of laryngeal squamous cell carcinoma after surgery.
    Yao Y; Jia C; Zhang H; Mou Y; Wang C; Han X; Yu P; Mao N; Song X
    J Xray Sci Technol; 2023; 31(3):435-452. PubMed ID: 36806538
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study.
    Li Q; Song Z; Li X; Zhang D; Yu J; Li Z; Huang J; Su K; Liu Q; Zhang X; Tang Z
    Eur Radiol; 2024 May; 34(5):2934-2943. PubMed ID: 37938382
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning.
    Zhou B; Liu J; Yang Y; Ye X; Liu Y; Mao M; Sun X; Cui X; Zhou Q
    BMC Cancer; 2024 Jul; 24(1):810. PubMed ID: 38972977
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of a Comprehensive Model Based on CT Radiomics and Clinical Features for Postoperative Recurrence Risk Prediction in Non-small Cell Lung Cancer.
    Wang P; Luo Z; Luo C; Wang T
    Acad Radiol; 2024 Jun; 31(6):2579-2590. PubMed ID: 38172022
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
    Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
    Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Prediction of early recurrence of hepatocellular carcinoma after liver transplantation based on computed tomography radiomics nomogram.
    Zhao JW; Shu X; Chen XX; Liu JX; Liu MQ; Ye J; Jiang HJ; Wang GS
    Hepatobiliary Pancreat Dis Int; 2022 Dec; 21(6):543-550. PubMed ID: 35705443
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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 Sep; 51(9):5965-5977. PubMed ID: 38977273
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.
    Xu X; Wang H; Du P; Zhang F; Li S; Zhang Z; Yuan J; Liang Z; Zhang X; Guo Y; Liu Y; Lu H
    J Magn Reson Imaging; 2019 Dec; 50(6):1893-1904. PubMed ID: 30980695
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.
    Fang S; Lai L; Zhu J; Zheng L; Xu Y; Chen W; Wu F; Wu X; Chen M; Weng Q; Ji J; Zhao Z; Tu J
    Front Mol Biosci; 2021; 8():662366. PubMed ID: 34532340
    [No Abstract]   [Full Text] [Related]  

  • 15. 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]  

  • 16. A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma.
    Yang Z; Cai Y; Chen Y; Ai Z; Chen F; Wang H; Han Q; Feng Q; Xiang Z
    Acad Radiol; 2023 Sep; 30(9):1946-1961. PubMed ID: 36567145
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A contrast-enhanced MRI-based nomogram to identify lung metastasis in soft-tissue sarcoma: A multi-centre study.
    Hu Y; Wang H; Yue Z; Wang X; Wang Y; Luo Y; Jiang W
    Med Phys; 2023 May; 50(5):2961-2970. PubMed ID: 36433749
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Radiomics-clinical Nomogram based on CT Radiomics to Predict Acquired T790M Mutation Status in Non-small Cell Lung Cancer Patients.
    Xiong W; Yu X; Zhou T; Huang H; Zhao Z; Wang T
    Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38523520
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
    Hu C; Qiao X; Hu C; Cao C; Wang X; Bao J
    Cancer Imaging; 2024 Feb; 24(1):23. PubMed ID: 38326860
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.