BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

52 related articles for article (PubMed ID: 38585004)

  • 1. Preoperatively Predicting Survival Outcome for Clinical Stage IA Pure-Solid Non-Small Cell Lung Cancer by Radiomics-based Machine Learning.
    Yan H; Niimi T; Matsunaga T; Fukui M; Hattori A; Takamochi K; Suzuki K
    J Thorac Cardiovasc Surg; 2024 May; ():. PubMed ID: 38788833
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy.
    Huang D; Lin C; Jiang Y; Xin E; Xu F; Gan Y; Xu R; Wang F; Zhang H; Lou K; Shi L; Hu H
    Front Oncol; 2024; 14():1348678. PubMed ID: 38585004
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography.
    Mao N; Shi Y; Lian C; Wang Z; Zhang K; Xie H; Zhang H; Chen Q; Cheng G; Xu C; Dai Y
    Eur Radiol; 2022 May; 32(5):3207-3219. PubMed ID: 35066632
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An integrated model combined intra- and peritumoral regions for predicting chemoradiation response of non small cell lung cancers based on radiomics and deep learning.
    Ma Y; Li Q
    Cancer Radiother; 2023 Dec; 27(8):705-711. PubMed ID: 37932182
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.
    Chen X; Zhuang Z; Pen L; Xue J; Zhu H; Zhang L; Wang D
    Abdom Radiol (NY); 2024 May; 49(5):1363-1375. PubMed ID: 38305796
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.
    Yang H; Wang L; Shao G; Dong B; Wang F; Wei Y; Li P; Chen H; Chen W; Zheng Y; He Y; Zhao Y; Du X; Sun X; Wang Z; Wang Y; Zhou X; Lai X; Feng W; Shen L; Qiu G; Ji Y; Chen J; Jiang Y; Liu J; Zeng J; Wang C; Zhao Q; Yang X; Hu X; Ma H; Chen Q; Chen M; Jiang H; Xu Y
    Front Oncol; 2022; 12():967360. PubMed ID: 35982975
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intratumoral and peritumoral radiomics predict pathological response after neoadjuvant chemotherapy against advanced gastric cancer.
    Liu C; Li L; Chen X; Huang C; Wang R; Liu Y; Gao J
    Insights Imaging; 2024 Jan; 15(1):23. PubMed ID: 38270724
    [TBL] [Abstract][Full Text] [Related]  

  • 8. uRP: An integrated research platform for one-stop analysis of medical images.
    Wu J; Xia Y; Wang X; Wei Y; Liu A; Innanje A; Zheng M; Chen L; Shi J; Wang L; Zhan Y; Zhou XS; Xue Z; Shi F; Shen D
    Front Radiol; 2023; 3():1153784. PubMed ID: 37492386
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of a radiomics-based nomogram for predicting a major pathological response to neoadjuvant immunochemotherapy for patients with potentially resectable non-small cell lung cancer.
    Liu C; Zhao W; Xie J; Lin H; Hu X; Li C; Shang Y; Wang Y; Jiang Y; Ding M; Peng M; Xu T; Hu A; Huang Y; Gao Y; Liu X; Liu J; Ma F
    Front Immunol; 2023; 14():1115291. PubMed ID: 36875128
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A pre-treatment CT-based weighted radiomic approach combined with clinical characteristics to predict durable clinical benefits of immunotherapy in advanced lung cancer.
    Zhu Z; Chen M; Hu G; Pan Z; Han W; Tan W; Zhou Z; Wang M; Mao L; Li X; Sui X; Song L; Xu Y; Song W; Yu Y; Jin Z
    Eur Radiol; 2023 Jun; 33(6):3918-3930. PubMed ID: 36515714
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of histology on the efficacy of immune checkpoint inhibitors in advanced non-small cell lung cancer: A systematic review and meta-analysis.
    Li F; Zhai S; Lv Z; Yuan L; Wang S; Jin D; Yi H; Fu L; Mao Y
    Front Oncol; 2022; 12():968517. PubMed ID: 36439448
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study.
    She Y; He B; Wang F; Zhong Y; Wang T; Liu Z; Yang M; Yu B; Deng J; Sun X; Wu C; Hou L; Zhu Y; Yang Y; Hu H; Dong D; Chen C; Tian J
    EBioMedicine; 2022 Dec; 86():104364. PubMed ID: 36395737
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting chemotherapy response in non-small-cell lung cancer
    Chang R; Qi S; Zuo Y; Yue Y; Zhang X; Guan Y; Qian W
    Front Oncol; 2022; 12():915835. PubMed ID: 36003781
    [TBL] [Abstract][Full Text] [Related]  

  • 14.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 15.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 16.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 3.