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 *

178 related articles for article (PubMed ID: 38783014)

  • 1. 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]  

  • 2. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
    Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
    Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. [Radiomics-based prediction of microsatellite instability in stage Ⅱ and Ⅲ rectal cancer patients based on T2WI MRI and diffusion-weighted imaging].
    Xiang S; Zheng LB; Zhu L; Gao Y; Wang DS; Liu SL; Zhang S; Wang TY; Lu Y
    Zhonghua Wai Ke Za Zhi; 2023 Sep; 61(9):782-787. PubMed ID: 37491171
    [No Abstract]   [Full Text] [Related]  

  • 6. Preoperative Noninvasive Evaluation of Tumor Budding in Rectal Cancer Using Multiparameter MRI Radiomics.
    Peng L; Wang D; Zhuang Z; Chen X; Xue J; Zhu H; Zhang L
    Acad Radiol; 2024 Jun; 31(6):2334-2345. PubMed ID: 38135624
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
    Zhang Y; Peng J; Liu J; Ma Y; Shu Z
    Front Oncol; 2022; 12():828904. PubMed ID: 35480114
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics.
    Zhang Y; Liu J; Wu C; Peng J; Wei Y; Cui S
    Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673079
    [No Abstract]   [Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer.
    Song XL; Luo HJ; Ren JL; Yin P; Liu Y; Niu J; Hong N
    Radiol Med; 2023 Feb; 128(2):242-251. PubMed ID: 36656410
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [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]  

  • 14. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
    Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.
    Ma X; Shen F; Jia Y; Xia Y; Li Q; Lu J
    BMC Med Imaging; 2019 Nov; 19(1):86. PubMed ID: 31747902
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
    Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
    Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
    Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
    Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
    [No Abstract]   [Full Text] [Related]  

  • 19. Radiomics analysis of multiparametric MRI for preoperative prediction of microsatellite instability status in endometrial cancer: a dual-center study.
    Jia Y; Hou L; Zhao J; Ren J; Li D; Li H; Cui Y
    Front Oncol; 2024; 14():1333020. PubMed ID: 38347846
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.