BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38394745)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Differentiation between immune checkpoint inhibitor-related and radiation pneumonitis in lung cancer by CT radiomics and machine learning.
    Cheng J; Pan Y; Huang W; Huang K; Cui Y; Hong W; Wang L; Ni D; Tan P
    Med Phys; 2022 Mar; 49(3):1547-1558. PubMed ID: 35026041
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Prediction of radiation pneumonia after radiotherapy for esophageal cancer using a unified fractional dosiomics combined model.
    Yang T; Wang L; Zhong S; Peng L; Li N; Gui Y; Deng Q; Wang Y; Yuan Q; Li X
    Br J Radiol; 2023 Dec; 96(1152):20230495. PubMed ID: 37750834
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Distinguishing immune checkpoint inhibitor-related pneumonitis from radiation pneumonitis by CT radiomics features in non-small cell lung cancer.
    Peiliang Wang MD; Yikun Li MM; Mengyu Zhao MM; Jinming Yu MD; Feifei Teng MD
    Int Immunopharmacol; 2024 Feb; 128():111489. PubMed ID: 38266450
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiation Versus Immune Checkpoint Inhibitor Associated Pneumonitis: Distinct Radiologic Morphologies.
    Chen X; Sheikh K; Nakajima E; Lin CT; Lee J; Hu C; Hales RK; Forde PM; Naidoo J; Voong KR
    Oncologist; 2021 Oct; 26(10):e1822-e1832. PubMed ID: 34251728
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A dosiomics model for prediction of radiation-induced acute skin toxicity in breast cancer patients: machine learning-based study for a closed bore linac.
    Saadatmand P; Mahdavi SR; Nikoofar A; Jazaeri SZ; Ramandi FL; Esmaili G; Vejdani S
    Eur J Med Res; 2024 May; 29(1):282. PubMed ID: 38735974
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A machine learning approach for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma undergoing tomotherapy.
    Quan KR; Lin WR; Hong JB; Lin YH; Chen KQ; Chen JH; Cheng PJ
    Sci Rep; 2024 Apr; 14(1):8436. PubMed ID: 38600141
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.
    Zhang GY; Du XZ; Xu R; Chen T; Wu Y; Wu XJ; Liu S
    Acad Radiol; 2024 May; 31(5):2128-2143. PubMed ID: 37977890
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients.
    Ren W; Liang B; Sun C; Wu R; Men K; Xu Y; Han F; Yi J; Qu Y; Dai J
    Phys Med; 2021 Sep; 89():219-225. PubMed ID: 34425512
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.