BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 38570887)

  • 1. Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram.
    Zhu C; Sun W; Chen C; Qiu Q; Wang S; Song Y; Ma X
    Eur J Med Res; 2024 Apr; 29(1):217. PubMed ID: 38570887
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors.
    Zhu C; Ding J; Wang S; Qiu Q; Ji Y; Wang L
    Thorac Cancer; 2021 Dec; 12(23):3110-3120. PubMed ID: 34647417
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model.
    Zhu C; Mu F; Wang S; Qiu Q; Wang S; Wang L
    Eur J Med Res; 2022 Dec; 27(1):272. PubMed ID: 36463269
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Radiomics model for preoperative prediction of 3-year survival-based CT image biomarkers in esophageal cancer.
    Wang J; Yu X; Zeng J; Li H; Qin P
    Eur Arch Otorhinolaryngol; 2022 Nov; 279(11):5433-5443. PubMed ID: 35857100
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma.
    Tan X; Ma Z; Yan L; Ye W; Liu Z; Liang C
    Eur Radiol; 2019 Jan; 29(1):392-400. PubMed ID: 29922924
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dual-region radiomics signature: Integrating primary tumor and lymph node computed tomography features improves survival prediction in esophageal squamous cell cancer.
    Lu N; Zhang WJ; Dong L; Chen JY; Zhu YL; Zhang SH; Fu JH; Yin SH; Li ZC; Xie CM
    Comput Methods Programs Biomed; 2021 Sep; 208():106287. PubMed ID: 34311416
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of a risk prediction model for radiotherapy-related esophageal fistula in esophageal cancer.
    Xu Y; Wang L; He B; Li W; Wen Q; Wang S; Sun X; Meng X; Yu J
    Radiat Oncol; 2019 Oct; 14(1):181. PubMed ID: 31640802
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
    Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
    J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
    Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
    Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
    Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
    Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
    Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
    Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT-based radiomic nomogram for predicting the severity of patients with COVID-19.
    Shi H; Xu Z; Cheng G; Ji H; He L; Zhu J; Hu H; Xie Z; Ao W; Wang J
    Eur J Med Res; 2022 Jan; 27(1):13. PubMed ID: 35078525
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A multicenter study.
    Gong J; Zhang W; Huang W; Liao Y; Yin Y; Shi M; Qin W; Zhao L
    Radiother Oncol; 2022 Sep; 174():8-15. PubMed ID: 35750106
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
    Qiu Q; Duan J; Deng H; Han Z; Gu J; Yue NJ; Yin Y
    Front Oncol; 2020; 10():1398. PubMed ID: 32850451
    [No Abstract]   [Full Text] [Related]  

  • 18. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
    Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
    Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules.
    Hu T; Wang S; Huang L; Wang J; Shi D; Li Y; Tong T; Peng W
    Eur Radiol; 2019 Jan; 29(1):439-449. PubMed ID: 29948074
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative Assessment for High-Risk Endometrial Cancer by Developing an MRI- and Clinical-Based Radiomics Nomogram: A Multicenter Study.
    Yan BC; Li Y; Ma FH; Feng F; Sun MH; Lin GW; Zhang GF; Qiang JW
    J Magn Reson Imaging; 2020 Dec; 52(6):1872-1882. PubMed ID: 32681608
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.