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 *

298 related articles for article (PubMed ID: 33680919)

  • 1. Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer.
    Liu X; Yang Q; Zhang C; Sun J; He K; Xie Y; Zhang Y; Fu Y; Zhang H
    Front Oncol; 2020; 10():585767. PubMed ID: 33680919
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiregional-based magnetic resonance imaging radiomics model for predicting tumor deposits in resectable rectal cancer.
    Feng F; Liu Y; Bao J; Hong R; Hu S; Hu C
    Abdom Radiol (NY); 2023 Nov; 48(11):3310-3321. PubMed ID: 37578553
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinical development of MRI-based multi-sequence multi-regional radiomics model to predict lymph node metastasis in rectal cancer.
    Meng Y; Ai Q; Hu Y; Han H; Song C; Yuan G; Hou X; Weng W
    Abdom Radiol (NY); 2024 Jun; 49(6):1805-1815. PubMed ID: 38462557
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
    Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
    Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
    [TBL] [Abstract][Full Text] [Related]  

  • 5. T2WI-based texture analysis predicts preoperative lymph node metastasis of rectal cancer.
    Zhuang Z; Zhang Y; Yang X; Deng X; Wang Z
    Abdom Radiol (NY); 2024 Jun; 49(6):2008-2016. PubMed ID: 38411692
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of preoperative CT- and MRI-based multiparametric radiomics in the prediction of lymph node metastasis in rectal cancer.
    Niu Y; Yu X; Wen L; Bi F; Jian L; Liu S; Yang Y; Zhang Y; Lu Q
    Front Oncol; 2023; 13():1230698. PubMed ID: 38074652
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
    Li H; Chen XL; Liu H; Lu T; Li ZL
    Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Preoperative MR radiomics based on high-resolution T2-weighted images and amide proton transfer-weighted imaging for predicting lymph node metastasis in rectal adenocarcinoma.
    Wei Q; Yuan W; Jia Z; Chen J; Li L; Yan Z; Liao Y; Mao L; Hu S; Liu X; Chen W
    Abdom Radiol (NY); 2023 Feb; 48(2):458-470. PubMed ID: 36460837
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effects of MRI radiomics combined with clinical data in evaluating lymph node metastasis in mrT1-3a staging rectal cancer.
    Dong X; Ren G; Chen Y; Yong H; Zhang T; Yin Q; Zhang Z; Yuan S; Ge Y; Duan S; Liu H; Wang D
    Front Oncol; 2023; 13():1194120. PubMed ID: 37909021
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.
    Ma X; Xia L; Chen J; Wan W; Zhou W
    Eur Radiol; 2023 Mar; 33(3):1949-1962. PubMed ID: 36169691
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer.
    Wu Q; Wang S; Chen X; Wang Y; Dong L; Liu Z; Tian J; Wang M
    Radiother Oncol; 2019 Sep; 138():141-148. PubMed ID: 31252296
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
    Tong P; Sun D; Chen G; Ni J; Li Y
    BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
    Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
    Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.
    Yao X; Huang X; Yang C; Hu A; Zhou G; Lei J; Shu J
    JMIR Med Inform; 2020 Oct; 8(10):e23578. PubMed ID: 33016889
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Preoperative prediction for lymph node metastasis of rectal nonmucinous adenocarcinoma based on radiomics classifier].
    Tan X; Chen H; Zhang T; Wu H; Zeng Y; Huang F; Yu Y; Liu J; Liu P
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Mar; 44(3):271-276. PubMed ID: 30971519
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration.
    Li P; Song G; Wu R; Li H; Zhang R; Zuo P; Li A
    MAGMA; 2021 Oct; 34(5):707-716. PubMed ID: 33646452
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer.
    Zhang W; Huang Z; Zhao J; He D; Li M; Yin H; Tian S; Zhang H; Song B
    Ann Transl Med; 2021 Jan; 9(2):134. PubMed ID: 33569436
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.