BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 37540319)

  • 1. The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.
    Lu S; Wang C; Liu Y; Chu F; Jia Z; Zhang H; Wang Z; Lu Y; Wang S; Yang G; Qu J
    Eur Radiol; 2024 Jan; 34(1):485-494. PubMed ID: 37540319
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The value of intravoxel incoherent motion diffusion-weighted imaging in predicting the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.
    Song T; Yao Q; Qu J; Zhang H; Zhao Y; Qin J; Feng W; Zhang S; Han X; Wang S; Yan X; Li H
    Eur Radiol; 2021 Mar; 31(3):1391-1400. PubMed ID: 32901300
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of MRI-based radiomics signatures models for prediction of disease-free survival and overall survival in patients with esophageal squamous cell carcinoma.
    Chu F; Liu Y; Liu Q; Li W; Jia Z; Wang C; Wang Z; Lu S; Li P; Zhang Y; Liao Y; Xu M; Yao X; Wang S; Liu C; Zhang H; Wang S; Yan X; Kamel IR; Sun H; Yang G; Zhang Y; Qu J
    Eur Radiol; 2022 Sep; 32(9):5930-5942. PubMed ID: 35384460
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics analysis for prediction of lymph node metastasis after neoadjuvant chemotherapy based on pretreatment MRI in patients with locally advanced cervical cancer.
    Liu J; Dong L; Zhang X; Wu Q; Yang Z; Zhang Y; Xu C; Wu Q; Wang M
    Front Oncol; 2024; 14():1376640. PubMed ID: 38779088
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer.
    Li J; Yin H; Wang Y; Zhang H; Ma F; Li H; Qu J
    Eur Radiol; 2023 Apr; 33(4):2746-2756. PubMed ID: 36512039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. An MRI-based machine learning radiomics can predict short-term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter study.
    Xin Z; Yan W; Feng Y; Yunzhi L; Zhang Y; Wang D; Chen W; Peng J; Guo C; Chen Z; Wang X; Zhu J; Lei J
    Cancer Med; 2023 Oct; 12(19):19383-19393. PubMed ID: 37772478
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The value of GRASP on DCE-MRI for assessing response to neoadjuvant chemotherapy in patients with esophageal cancer.
    Lu Y; Ma L; Qin J; Wang Z; Guo J; Zhao Y; Zhang H; Yan X; Liu H; Li H; Kamel IR; Qu J
    BMC Cancer; 2019 Oct; 19(1):999. PubMed ID: 31651280
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
    Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
    Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Wan L; Peng W; Zou S; Ye F; Geng Y; Ouyang H; Zhao X; Zhang H
    Acad Radiol; 2021 Nov; 28 Suppl 1():S95-S104. PubMed ID: 33189550
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A CT-based novel model to predict pathological complete response of locally advanced esophageal squamous cell carcinoma to neoadjuvant PD-1 blockade in combination with chemotherapy.
    Zhou HY; Guo WW; Ou J; Li R; Gui Y; Li L; Fu MY; Zhang XM; Chen TW
    Eur J Radiol; 2023 Oct; 167():111065. PubMed ID: 37651827
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting response to CCRT for esophageal squamous carcinoma by a radiomics-clinical SHAP model.
    Cheng X; Zhang Y; Zhu M; Sun R; Liu L; Li X
    BMC Med Imaging; 2023 Oct; 23(1):145. PubMed ID: 37779188
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
    Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
    EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy.
    Yang Z; He B; Zhuang X; Gao X; Wang D; Li M; Lin Z; Luo R
    J Radiat Res; 2019 Jul; 60(4):538-545. PubMed ID: 31111948
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A machine learning approach using
    Qi WX; Li S; Xiao J; Li H; Chen J; Zhao S
    Front Immunol; 2024; 15():1351750. PubMed ID: 38352868
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study.
    Liu Y; Wang Y; Wang X; Xue L; Zhang H; Ma Z; Deng H; Yang Z; Sun X; Men Y; Ye F; Men K; Qin J; Bi N; Wang Q; Hui Z
    Cancer Imaging; 2024 Jan; 24(1):16. PubMed ID: 38263134
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancer.
    Qu J; Ma L; Lu Y; Wang Z; Guo J; Zhang H; Yan X; Liu H; Kamel IR; Qin J; Li H
    Discov Oncol; 2022 Jan; 13(1):3. PubMed ID: 35201487
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative RECIST derived from multiparametric MRI in evaluating response of esophageal squamous cell carcinoma to neoadjuvant therapy.
    Qu J; Zhang Y; Lu S; Xing W; Zheng Y; Sun H; Gao Q; Xia Q; Wang Z; Zhang H; Wang S; Qin J; Kamel IR; Li H
    Eur Radiol; 2022 Oct; 32(10):7295-7306. PubMed ID: 36048205
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.
    Zhu Y; Yao W; Xu BC; Lei YY; Guo QK; Liu LZ; Li HJ; Xu M; Yan J; Chang DD; Feng ST; Zhu ZH
    BMC Cancer; 2021 Oct; 21(1):1167. PubMed ID: 34717582
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.