BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

202 related articles for article (PubMed ID: 36199694)

  • 1. Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients.
    Li B; Ren G; Guo W; Zhang J; Lam SK; Zheng X; Teng X; Wang Y; Yang Y; Dan Q; Meng L; Ma Z; Cheng C; Tao H; Lei H; Cai J; Ge H
    Front Pharmacol; 2022; 13():971849. PubMed ID: 36199694
    [No Abstract]   [Full Text] [Related]  

  • 2. Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients.
    Li B; Zheng X; Zhang J; Lam S; Guo W; Wang Y; Cui S; Teng X; Zhang Y; Ma Z; Zhou T; Lou Z; Meng L; Ge H; Cai J
    Cancers (Basel); 2022 Oct; 14(19):. PubMed ID: 36230812
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy.
    Zheng X; Guo W; Wang Y; Zhang J; Zhang Y; Cheng C; Teng X; Lam S; Zhou T; Ma Z; Liu R; Wu H; Ge H; Cai J; Li B
    Eur J Med Res; 2023 Mar; 28(1):126. PubMed ID: 36935504
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy.
    Lee SH; Han P; Hales RK; Voong KR; Noro K; Sugiyama S; Haller JW; McNutt TR; Lee J
    Phys Med Biol; 2020 Sep; 65(19):195015. PubMed ID: 32235058
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation.
    Kraus KM; Oreshko M; Schnabel JA; Bernhardt D; Combs SE; Peeken JC
    Lung Cancer; 2024 Mar; 189():107507. PubMed ID: 38394745
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-omics and Multi-VOIs to predict esophageal fistula in esophageal cancer patients treated with radiotherapy.
    Guo W; Li B; Xu W; Cheng C; Qiu C; Sam SK; Zhang J; Teng X; Meng L; Zheng X; Wang Y; Lou Z; Mao R; Lei H; Zhang Y; Zhou T; Li A; Cai J; Ge H
    J Cancer Res Clin Oncol; 2024 Jan; 150(2):39. PubMed ID: 38280037
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiation pneumonitis prediction after stereotactic body radiation therapy based on 3D dose distribution: dosiomics and/or deep learning-based radiomics features.
    Huang Y; Feng A; Lin Y; Gu H; Chen H; Wang H; Shao Y; Duan Y; Zhuo W; Xu Z
    Radiat Oncol; 2022 Nov; 17(1):188. PubMed ID: 36397060
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition.
    Kraus KM; Oreshko M; Bernhardt D; Combs SE; Peeken JC
    Front Oncol; 2023; 13():1124592. PubMed ID: 37007119
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning-Based Multiomics Prediction Model for Radiation Pneumonitis.
    Zhou L; Wen Y; Zhang G; Wang L; Wu S; Zhang S
    J Oncol; 2023; 2023():5328927. PubMed ID: 36852328
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dosiomics and radiomics improve the prediction of post-radiotherapy neutrophil-lymphocyte ratio in locally advanced non-small cell lung cancer.
    Hou R; Xia W; Zhang C; Shao Y; Zhu X; Feng W; Zhang Q; Yu W; Fu X; Zhao J
    Med Phys; 2024 Jan; 51(1):650-661. PubMed ID: 37963229
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy.
    Li C; Zhang J; Ning B; Xu J; Lin Z; Zhang J; Tan N; Yu X; Su W; Ni W; Yu W; Wu J; Cao G; Cao Z; Xie C; Jin X
    Radiat Oncol; 2024 Jun; 19(1):72. PubMed ID: 38851718
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy.
    Lam SK; Zhang Y; Zhang J; Li B; Sun JC; Liu CY; Chou PH; Teng X; Ma ZR; Ni RY; Zhou T; Peng T; Xiao HN; Li T; Ren G; Cheung AL; Lee FK; Yip CW; Au KH; Lee VH; Chang AT; Chan LW; Cai J
    Front Oncol; 2021; 11():792024. PubMed ID: 35174068
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-institutional dose-segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy.
    Adachi T; Nakamura M; Shintani T; Mitsuyoshi T; Kakino R; Ogata T; Ono T; Tanabe H; Kokubo M; Sakamoto T; Matsuo Y; Mizowaki T
    Med Phys; 2021 Apr; 48(4):1781-1791. PubMed ID: 33576510
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics and Dosiomics Signature From Whole Lung Predicts Radiation Pneumonitis: A Model Development Study With Prospective External Validation and Decision-curve Analysis.
    Zhang Z; Wang Z; Yan M; Yu J; Dekker A; Zhao L; Wee L
    Int J Radiat Oncol Biol Phys; 2023 Mar; 115(3):746-758. PubMed ID: 36031028
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integration of dosimetric parameters, clinical factors, and radiomics to predict symptomatic radiation pneumonitis in lung cancer patients undergoing combined immunotherapy and radiotherapy.
    Nie T; Chen Z; Cai J; Ai S; Xue X; Yuan M; Li C; Shi L; Liu Y; Verma V; Bi J; Han G; Yuan Z
    Radiother Oncol; 2024 Jan; 190():110047. PubMed ID: 38070685
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computed tomography and radiation dose images-based deep-learning model for predicting radiation pneumonitis in lung cancer patients after radiation therapy.
    Zhang Z; Wang Z; Luo T; Yan M; Dekker A; De Ruysscher D; Traverso A; Wee L; Zhao L
    Radiother Oncol; 2023 May; 182():109581. PubMed ID: 36842666
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis.
    Liang B; Lu X; Liu L; Dai J; Wang L; Bi N
    Radiother Oncol; 2024 Jul; 196():110261. PubMed ID: 38548115
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pseudo-siamese network combined with dosimetric and clinical factors, radiomics features, CT images and 3D dose distribution for the prediction of radiation pneumonitis: A feasibility study.
    Feng B; Zhou W; Yang X; Luo H; Zhang X; Yang D; Tao D; Wu Y; Jin F
    Clin Transl Radiat Oncol; 2023 Jan; 38():188-194. PubMed ID: 36479235
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics and dosiomics-based prediction of radiotherapy-induced xerostomia in head and neck cancer patients.
    Abdollahi H; Dehesh T; Abdalvand N; Rahmim A
    Int J Radiat Biol; 2023; 99(11):1669-1683. PubMed ID: 37171485
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics?
    Thomas HMT; Hippe DS; Forouzannezhad P; Sasidharan BK; Kinahan PE; Miyaoka RS; Vesselle HJ; Rengan R; Zeng J; Bowen SR
    Discov Oncol; 2022 Sep; 13(1):85. PubMed ID: 36048266
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.