BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37537659)

  • 1. Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients.
    Zhu H; Hu M; Ma Y; Yao X; Lin X; Li M; Li Y; Wu Z; Shi D; Tong T; Chen H
    Cancer Imaging; 2023 Aug; 23(1):74. PubMed ID: 37537659
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomic analysis for predicting prognosis of colorectal cancer from preoperative
    Lv L; Xin B; Hao Y; Yang Z; Xu J; Wang L; Wang X; Song S; Guo X
    J Transl Med; 2022 Feb; 20(1):66. PubMed ID: 35109864
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.
    Badic B; Da-Ano R; Poirot K; Jaouen V; Magnin B; Gagnière J; Pezet D; Hatt M; Visvikis D
    Eur Radiol; 2022 Jan; 32(1):405-414. PubMed ID: 34170367
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
    Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD; Rajiah P; Gilkeson R; Feldman MD; Choi H; Velcheti V; Madabhushi A
    Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 33334576
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.
    Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil P; Velu P; Rajiah P; Gilkeson R; Feldman M; Choi H; Velcheti V; Madabhushi A
    Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 32123864
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer.
    Fan S; Cui X; Liu C; Li X; Zheng L; Song Q; Qi J; Ma W; Ye Z
    Front Oncol; 2021; 11():644933. PubMed ID: 33816297
    [No Abstract]   [Full Text] [Related]  

  • 7. 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]  

  • 8. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
    Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
    Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification and Construction of Combinatory Cancer Hallmark-Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer.
    Gao S; Tibiche C; Zou J; Zaman N; Trifiro M; O'Connor-McCourt M; Wang E
    JAMA Oncol; 2016 Jan; 2(1):37-45. PubMed ID: 26502222
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Special issue "The advance of solid tumor research in China": Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep-learning features of primary lesions and peripheral lymph nodes.
    Li M; Gong J; Bao Y; Huang D; Peng J; Tong T
    Int J Cancer; 2023 Jan; 152(1):31-41. PubMed ID: 35484979
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer.
    Cai D; Duan X; Wang W; Huang ZP; Zhu Q; Zhong ME; Lv MY; Li CH; Kou WB; Wu XJ; Gao F
    Front Mol Biosci; 2020; 7():613918. PubMed ID: 33490106
    [No Abstract]   [Full Text] [Related]  

  • 13. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
    He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
    Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Machine Learning Approach Using FDG PET-Based Radiomics for Prediction of Tumor Mutational Burden and Prognosis in Stage IV Colorectal Cancer.
    Lee H; Moon SH; Hong JY; Lee J; Hyun SH
    Cancers (Basel); 2023 Jul; 15(15):. PubMed ID: 37568657
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
    Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
    J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic value of lymphovascular invasion in stage II colorectal cancer patients with an inadequate examination of lymph nodes.
    Gao Z; Cao H; Xu X; Wang Q; Wu Y; Lu Q
    World J Surg Oncol; 2021 Apr; 19(1):125. PubMed ID: 33866973
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application and Clinical Value of Machine Learning-Based Cervical Cancer Diagnosis and Prediction Model in Adjuvant Chemotherapy for Cervical Cancer: A Single-Center, Controlled, Non-Arbitrary Size Case-Control Study.
    Wang Y; Shen L; Jin J; Wang G
    Contrast Media Mol Imaging; 2022; 2022():2432291. PubMed ID: 35821886
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The value of
    Ma J; Guo D; Miao W; Wang Y; Yan L; Wu F; Zhang C; Zhang R; Zuo P; Yang G; Wang Z
    Abdom Radiol (NY); 2022 Apr; 47(4):1244-1254. PubMed ID: 35218381
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.