BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 34718683)

  • 1. Prediction of radiation pneumonitis with machine learning using 4D-CT based dose-function features.
    Katsuta Y; Kadoya N; Mouri S; Tanaka S; Kanai T; Takeda K; Yamamoto T; Ito K; Kajikawa T; Nakajima Y; Jingu K
    J Radiat Res; 2022 Jan; 63(1):71-79. PubMed ID: 34718683
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluating Which Dose-Function Metrics Are Most Critical for Functional-Guided Radiation Therapy.
    Faught AM; Yamamoto T; Castillo R; Castillo E; Zhang J; Miften M; Vinogradskiy Y
    Int J Radiat Oncol Biol Phys; 2017 Sep; 99(1):202-209. PubMed ID: 28816147
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dependence of ventilation image derived from 4D CT on deformable image registration and ventilation algorithms.
    Latifi K; Forster KM; Hoffe SE; Dilling TJ; van Elmpt W; Dekker A; Zhang GG
    J Appl Clin Med Phys; 2013 Jul; 14(4):4247. PubMed ID: 23835389
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of predictive powers of functional and anatomic dosimetric parameters for radiation-induced lung toxicity in locally advanced non-small cell lung cancer.
    Xiao L; Yang G; Chen J; Yang Y; Meng X; Wang X; Wu Q; Huo Z; Yu Q; Yu J; Kong FS; Yuan S
    Radiother Oncol; 2018 Nov; 129(2):242-248. PubMed ID: 30471708
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiation pneumonitis prediction model with integrating multiple dose-function features on 4DCT ventilation images.
    Katsuta Y; Kadoya N; Kajikawa T; Mouri S; Kimura T; Takeda K; Yamamoto T; Imano N; Tanaka S; Ito K; Kanai T; Nakajima Y; Jingu K
    Phys Med; 2023 Jan; 105():102505. PubMed ID: 36535238
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accuracy and Utility of Deformable Image Registration in (68)Ga 4D PET/CT Assessment of Pulmonary Perfusion Changes During and After Lung Radiation Therapy.
    Hardcastle N; Hofman MS; Hicks RJ; Callahan J; Kron T; MacManus MP; Ball DL; Jackson P; Siva S
    Int J Radiat Oncol Biol Phys; 2015 Sep; 93(1):196-204. PubMed ID: 26279034
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improvement of Prediction Performance for Radiation Pneumonitis by Using 3-Dimensional Dosiomic Features.
    Feng A; Huang Y; Zeng Y; Shao Y; Wang H; Chen H; Gu H; Duan Y; Shen Z; Xu Z
    Clin Lung Cancer; 2024 Jun; 25(4):e173-e180.e2. PubMed ID: 38402120
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SPECT-based functional lung imaging for the prediction of radiation pneumonitis: a clinical and dosimetric correlation.
    Hoover DA; Reid RH; Wong E; Stitt L; Sabondjian E; Rodrigues GB; Jaswal JK; Yaremko BP
    J Med Imaging Radiat Oncol; 2014 Apr; 58(2):214-22. PubMed ID: 24373453
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A novel four-dimensional radiotherapy planning strategy from a tumor-tracking beam's eye view.
    Li G; Cohen P; Xie H; Low D; Li D; Rimner A
    Phys Med Biol; 2012 Nov; 57(22):7579-98. PubMed ID: 23103415
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of radiation pneumonitis by dose - volume histogram parameters in lung cancer--a systematic review.
    Rodrigues G; Lock M; D'Souza D; Yu E; Van Dyk J
    Radiother Oncol; 2004 May; 71(2):127-38. PubMed ID: 15110445
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis.
    Jiang W; Song Y; Sun Z; Qiu J; Shi L
    Int J Radiat Oncol Biol Phys; 2021 Jul; 110(4):1161-1170. PubMed ID: 33548340
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Use of 4-dimensional computed tomography-based ventilation imaging to correlate lung dose and function with clinical outcomes.
    Vinogradskiy Y; Castillo R; Castillo E; Tucker SL; Liao Z; Guerrero T; Martel MK
    Int J Radiat Oncol Biol Phys; 2013 Jun; 86(2):366-71. PubMed ID: 23474113
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients.
    Otsuka M; Monzen H; Matsumoto K; Tamura M; Inada M; Kadoya N; Nishimura Y
    PLoS One; 2018; 13(10):e0204721. PubMed ID: 30281625
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Predicting radiation pneumonitis with fuzzy clustering neural network using 4DCT ventilation image based dosimetric parameters.
    Huang P; Yan H; Hu Z; Liu Z; Tian Y; Dai J
    Quant Imaging Med Surg; 2021 Dec; 11(12):4731-4741. PubMed ID: 34888185
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of radiation pneumonitis: dose-volume histogram analysis in 62 patients with non-small cell lung cancer after three-dimensional conformal radiotherapy.
    Piotrowski T; Matecka-Nowak M; Milecki P
    Neoplasma; 2005; 52(1):56-62. PubMed ID: 15739028
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust CT ventilation from the integral formulation of the Jacobian.
    Castillo E; Castillo R; Vinogradskiy Y; Dougherty M; Solis D; Myziuk N; Thompson A; Guerra R; Nair G; Guerrero T
    Med Phys; 2019 May; 46(5):2115-2125. PubMed ID: 30779353
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A little to a lot or a lot to a little? An analysis of pneumonitis risk from dose-volume histogram parameters of the lung in patients with lung cancer treated with 3-D conformal radiotherapy.
    Willner J; Jost A; Baier K; Flentje M
    Strahlenther Onkol; 2003 Aug; 179(8):548-56. PubMed ID: 14509954
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.
    Luna JM; Chao HH; Diffenderfer ES; Valdes G; Chinniah C; Ma G; Cengel KA; Solberg TD; Berman AT; Simone CB
    Radiother Oncol; 2019 Apr; 133():106-112. PubMed ID: 30935565
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.