BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

252 related articles for article (PubMed ID: 37463039)

  • 1. The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal cancer: a systematic review and meta-analysis.
    Yang Z; Gong J; Li J; Sun H; Pan Y; Zhao L
    Int J Surg; 2023 Aug; 109(8):2451-2466. PubMed ID: 37463039
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A systematic review of radiomics in chondrosarcoma: assessment of study quality and clinical value needs handy tools.
    Zhong J; Hu Y; Ge X; Xing Y; Ding D; Zhang G; Zhang H; Yang Q; Yao W
    Eur Radiol; 2023 Feb; 33(2):1433-1444. PubMed ID: 36018355
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis.
    Feng Y; Gong J; Hu T; Liu Z; Sun Y; Tong T
    Quant Imaging Med Surg; 2023 Dec; 13(12):8395-8412. PubMed ID: 38106286
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement.
    Park JE; Kim D; Kim HS; Park SY; Kim JY; Cho SJ; Shin JH; Kim JH
    Eur Radiol; 2020 Jan; 30(1):523-536. PubMed ID: 31350588
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quality assessment of the MRI-radiomics studies for MGMT promoter methylation prediction in glioma: a systematic review and meta-analysis.
    Doniselli FM; Pascuzzo R; Mazzi F; Padelli F; Moscatelli M; Akinci D'Antonoli T; Cuocolo R; Aquino D; Cuccarini V; Sconfienza LM
    Eur Radiol; 2024 Feb; ():. PubMed ID: 38308012
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence with magnetic resonance imaging for prediction of pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer: A systematic review and meta-analysis.
    Jia LL; Zheng QY; Tian JH; He DL; Zhao JX; Zhao LP; Huang G
    Front Oncol; 2022; 12():1026216. PubMed ID: 36313696
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation.
    Park CJ; Park YW; Ahn SS; Kim D; Kim EH; Kang SG; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2022 Jan; 23(1):77-88. PubMed ID: 34983096
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quality of science and reporting for radiomics in cardiac magnetic resonance imaging studies: a systematic review.
    Chang S; Han K; Suh YJ; Choi BW
    Eur Radiol; 2022 Jul; 32(7):4361-4373. PubMed ID: 35230519
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis.
    Ma D; Zhou T; Chen J; Chen J
    BMC Med Imaging; 2024 Jun; 24(1):144. PubMed ID: 38867143
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI-Based Radiomics Methods for Predicting Ki-67 Expression in Breast Cancer: A Systematic Review and Meta-analysis.
    Tabnak P; HajiEsmailPoor Z; Baradaran B; Pashazadeh F; Aghebati Maleki L
    Acad Radiol; 2024 Mar; 31(3):763-787. PubMed ID: 37925343
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quality assessment of meningioma radiomics studies: Bridging the gap between exploratory research and clinical applications.
    Won SY; Park YW; Ahn SS; Moon JH; Kim EH; Kang SG; Chang JH; Kim SH; Lee SK
    Eur J Radiol; 2021 May; 138():109673. PubMed ID: 33774441
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Meta-Analysis for Using Radiomics to Predict Complete Pathological Response in Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiation.
    Kao YS; Hsu Y
    In Vivo; 2021; 35(3):1857-1863. PubMed ID: 33910873
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation.
    Zhong J; Hu Y; Si L; Jia G; Xing Y; Zhang H; Yao W
    Eur Radiol; 2021 Mar; 31(3):1526-1535. PubMed ID: 32876837
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics.
    Zhong J; Hu Y; Zhang G; Xing Y; Ding D; Ge X; Pan Z; Yang Q; Yin Q; Zhang H; Zhang H; Yao W
    Insights Imaging; 2022 Aug; 13(1):138. PubMed ID: 35986808
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.
    Jin X; Zheng X; Chen D; Jin J; Zhu G; Deng X; Han C; Gong C; Zhou Y; Liu C; Xie C
    Eur Radiol; 2019 Nov; 29(11):6080-6088. PubMed ID: 31028447
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers.
    Zhong J; Xing Y; Zhang G; Hu Y; Ding D; Ge X; Pan Z; Yin Q; Zhang H; Yang Q; Zhang H; Yao W
    J Orthop Surg Res; 2023 Jun; 18(1):414. PubMed ID: 37287036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy.
    Shi Z; Zhang Z; Liu Z; Zhao L; Ye Z; Dekker A; Wee L
    Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2462-2481. PubMed ID: 34939174
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A systematic review of radiomics in pancreatitis: applying the evidence level rating tool for promoting clinical transferability.
    Zhong J; Hu Y; Xing Y; Ge X; Ding D; Zhang H; Yao W
    Insights Imaging; 2022 Aug; 13(1):139. PubMed ID: 35986798
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning in predicting pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer using MRI: A systematic review and meta-analysis.
    He J; Wang SX; Liu P
    Br J Radiol; 2024 May; ():. PubMed ID: 38730550
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.