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 *

433 related articles for article (PubMed ID: 35726100)

  • 1. Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.
    Hou M; Zhou L; Sun J
    Eur Radiol; 2023 Jan; 33(1):1-10. PubMed ID: 35726100
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study.
    Liu Y; Sun BJ; Zhang C; Li B; Yu XX; Du Y
    World J Gastroenterol; 2024 Apr; 30(16):2233-2248. PubMed ID: 38690027
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant).
    Huang Z; Zhang W; He D; Cui X; Tian S; Yin H; Song B
    Medicine (Baltimore); 2020 Mar; 99(10):e19428. PubMed ID: 32150094
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Is rectal filling optimal for MRI-based radiomics in preoperative T staging of rectal cancer?
    Yuan Y; Lu H; Ma X; Chen F; Zhang S; Xia Y; Wang M; Shao C; Lu J; Shen F
    Abdom Radiol (NY); 2022 May; 47(5):1741-1749. PubMed ID: 35267070
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. MRI-based radiomics feature combined with tumor markers to predict TN staging of rectal cancer.
    Liu Z; Zhang J; Wang H; Chen X; Song J; Xu D; Li J; Zheng M
    J Robot Surg; 2024 May; 18(1):229. PubMed ID: 38809383
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer.
    Xing X; Li D; Peng J; Shu Z; Zhang Y; Song Q
    Sci Rep; 2024 May; 14(1):11760. PubMed ID: 38783014
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
    Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
    Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
    J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Preoperative evaluation of extramural venous invasion in rectal cancer using radiomics analysis of relaxation maps from synthetic MRI.
    Zhao L; Liang M; Wang S; Yang Y; Zhang H; Zhao X
    Abdom Radiol (NY); 2021 Aug; 46(8):3815-3825. PubMed ID: 33743017
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer.
    Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J
    Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a joint prediction model based on both the radiomics and clinical factors for preoperative prediction of circumferential resection margin in middle-low rectal cancer using T2WI images.
    Ju Y; Zheng L; Qi W; Tian G; Lu Y
    Med Phys; 2024 Apr; 51(4):2563-2577. PubMed ID: 37987563
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancer.
    Li S; Fan Z; Guo J; Li D; Chen Z; Zhang X; Wang Y; Li Y; Yang G; Wang X
    BMC Med Imaging; 2024 Jun; 24(1):148. PubMed ID: 38886638
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative detection of lymphovascular invasion in rectal cancer using intravoxel incoherent motion imaging based on radiomics.
    Wong C; Liu T; Zhang C; Li M; Zhang H; Wang Q; Fu Y
    Med Phys; 2024 Jan; 51(1):179-191. PubMed ID: 37929807
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting the Prognosis of HIFU Ablation of Uterine Fibroids Using a Deep Learning-Based 3D Super-Resolution DWI Radiomics Model: A Multicenter Study.
    Li C; He Z; Lv F; Liao H; Xiao Z
    Acad Radiol; 2024 Jul; ():. PubMed ID: 38969576
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessment of MRI-Based Radiomics in Preoperative T Staging of Rectal Cancer: Comparison between Minimum and Maximum Delineation Methods.
    Lu H; Yuan Y; Zhou Z; Ma X; Shen F; Xia Y; Lu J
    Biomed Res Int; 2021; 2021():5566885. PubMed ID: 34337027
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning-Based Multiparametric MRI Model for Preoperative T-Stage in Rectal Cancer.
    Wei Y; Wang H; Chen Z; Zhu Y; Li Y; Lu B; Pan K; Wen C; Cao G; He Y; Zhou J; Pan Z; Wang M
    J Magn Reson Imaging; 2024 Mar; 59(3):1083-1092. PubMed ID: 37367938
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
    Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 22.