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 *

503 related articles for article (PubMed ID: 34720535)

  • 1. Magnetic resonance imaging-radiomics evaluation of response to chemotherapy for synchronous liver metastasis of colorectal cancer.
    Ma YQ; Wen Y; Liang H; Zhong JG; Pang PP
    World J Gastroenterol; 2021 Oct; 27(38):6465-6475. PubMed ID: 34720535
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [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]  

  • 3. Radiomics Nomogram Based on Dual-Sequence MRI for Assessing Ki-67 Expression in Breast Cancer.
    Zhang L; Shen M; Zhang D; He X; Du Q; Liu N; Huang X
    J Magn Reson Imaging; 2024 Sep; 60(3):1203-1212. PubMed ID: 38088478
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI-based radiomics nomogram to predict synchronous liver metastasis in primary rectal cancer patients.
    Liu M; Ma X; Shen F; Xia Y; Jia Y; Lu J
    Cancer Med; 2020 Jul; 9(14):5155-5163. PubMed ID: 32476295
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases.
    Shu Z; Fang S; Ding Z; Mao D; Cai R; Chen Y; Pang P; Gong X
    Sci Rep; 2019 Mar; 9(1):3374. PubMed ID: 30833648
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
    Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
    BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score.
    Zhao Y; Huang F; Liu S; Jian L; Xia X; Lin H; Liu J
    J Cancer Res Clin Oncol; 2023 Jul; 149(8):5181-5192. PubMed ID: 36369395
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics based on preoperative rectal cancer MRI to predict the metachronous liver metastasis.
    Li ZF; Kang LQ; Liu FH; Zhao M; Guo SY; Lu S; Quan S
    Abdom Radiol (NY); 2023 Mar; 48(3):833-843. PubMed ID: 36529807
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
    Mao MM; Li HM; Shi J; Qiu QS; Feng F
    Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
    [No Abstract]   [Full Text] [Related]  

  • 10. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
    Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
    J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
    World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MRI-Based Radiomics Nomogram for Preoperatively Differentiating Intrahepatic Mass-Forming Cholangiocarcinoma From Resectable Colorectal Liver Metastases.
    Xu Y; Ye F; Li L; Yang Y; Ouyang J; Zhou Y; Wang S; Xie L; Zhou J; Zhao H; Zhao X
    Acad Radiol; 2023 Sep; 30(9):2010-2020. PubMed ID: 37414635
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE.
    Kong C; Zhao Z; Chen W; Lv X; Shu G; Ye M; Song J; Ying X; Weng Q; Weng W; Fang S; Chen M; Tu J; Ji J
    Eur Radiol; 2021 Oct; 31(10):7500-7511. PubMed ID: 33860832
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
    Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
    J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-Sequence and Multi-Regional MRI-Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer.
    Zhang L; Li X; Yang L; Tang Y; Guo J; Li D; Li S; Li Y; Wang L; Lei Y; Qiao H; Yang G; Wang X
    J Magn Reson Imaging; 2023 Jul; 58(1):258-269. PubMed ID: 36300676
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
    Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
    Front Oncol; 2021; 11():740776. PubMed ID: 34790570
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
    Zhang J; Xia L; Tang J; Xia J; Liu Y; Zhang W; Liu J; Liang Z; Zhang X; Zhang L; Tang G
    Acad Radiol; 2024 May; 31(5):2011-2026. PubMed ID: 38016821
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A clinical-radiomics model incorporating T2-weighted and diffusion-weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer.
    Zhang K; Ren Y; Xu S; Lu W; Xie S; Qu J; Wang X; Shen B; Pang P; Cai X; Sun J
    Med Phys; 2021 Sep; 48(9):4872-4882. PubMed ID: 34042185
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.