BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 36842666)

  • 21. Dose-volumetric parameters for predicting severe radiation pneumonitis after three-dimensional conformal radiation therapy for lung cancer.
    Kim TH; Cho KH; Pyo HR; Lee JS; Zo JI; Lee DH; Lee JM; Kim HY; Hwangbo B; Park SY; Kim JY; Shin KH; Kim DY
    Radiology; 2005 Apr; 235(1):208-15. PubMed ID: 15703313
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Incorporation of pre-therapy
    Anthony GJ; Cunliffe A; Castillo R; Pham N; Guerrero T; Armato SG; Al-Hallaq HA
    Med Phys; 2017 Jul; 44(7):3686-3694. PubMed ID: 28422299
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Temporal and spatial dose distribution of radiation pneumonitis after concurrent radiochemotherapy in stage III non-small cell cancer patients.
    Alharbi M; Janssen S; Golpon H; Bremer M; Henkenberens C
    Radiat Oncol; 2017 Nov; 12(1):165. PubMed ID: 29096667
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis.
    Krafft SP; Rao A; Stingo F; Briere TM; Court LE; Liao Z; Martel MK
    Med Phys; 2018 Nov; 45(11):5317-5324. PubMed ID: 30133809
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis.
    Uchida Y; Tsugawa T; Tanaka-Mizuno S; Noma K; Aoki K; Shigemori W; Nakagawa H; Kinose D; Yamaguchi M; Osawa M; Ogawa E; Nakano Y
    Radiat Oncol; 2017 Oct; 12(1):160. PubMed ID: 28969651
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [Radiation pneumonitis and pulmonary fibrosis after the CT-planned radiotherapy of bronchial carcinoma].
    Müller G; Kiricuta IC; Stiess J; Bohndorf W
    Strahlenther Onkol; 1994 Jul; 170(7):400-7. PubMed ID: 8052939
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Excluding PTV from lung volume may better predict radiation pneumonitis for intensity modulated radiation therapy in lung cancer patients.
    Meng Y; Yang H; Wang W; Tang X; Jiang C; Shen Y; Luo W
    Radiat Oncol; 2019 Jan; 14(1):7. PubMed ID: 30642354
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [18F]2-fluoro-2-deoxyglucose positron emission tomography/computed tomography in predicting radiation pneumonitis.
    Song H; Yu JM; Kong FM; Lu J; Bai T; Ma L; Fu Z
    Chin Med J (Engl); 2009 Jun; 122(11):1311-5. PubMed ID: 19567143
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Combined Ventilation and Perfusion Imaging Correlates With the Dosimetric Parameters of Radiation Pneumonitis in Radiation Therapy Planning for Lung Cancer.
    Kimura T; Doi Y; Nakashima T; Imano N; Kawabata H; Nishibuchi I; Okabe T; Kenjo M; Ozawa S; Murakami Y; Nagata Y
    Int J Radiat Oncol Biol Phys; 2015 Nov; 93(4):778-87. PubMed ID: 26530746
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.
    Cui S; Ten Haken RK; El Naqa I
    Int J Radiat Oncol Biol Phys; 2021 Jul; 110(3):893-904. PubMed ID: 33539966
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Image masking using convolutional networks improves performance classification of radiation pneumonitis for non-small cell lung cancer.
    Kawahara D; Imano N; Nishioka R; Nagata Y
    Phys Eng Sci Med; 2023 Jun; 46(2):767-772. PubMed ID: 36976438
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Significance of low-dose radiation distribution in development of radiation pneumonitis after helical-tomotherapy-based hypofractionated radiotherapy for pulmonary metastases.
    Jo IY; Kay CS; Kim JY; Son SH; Kang YN; Jung JY; Kim KJ
    J Radiat Res; 2014 Jan; 55(1):105-12. PubMed ID: 23757513
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
    Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
    Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. A deep learning-based dual-omics prediction model for radiation pneumonitis.
    Bin L; Yuan T; Zhaohui S; Wenting R; Zhiqiang L; Peng H; Shuying Y; Lei D; Jianyang W; Jingbo W; Tao Z; Xiaotong L; Nan B; Jianrong D
    Med Phys; 2021 Oct; 48(10):6247-6256. PubMed ID: 34224595
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiation pneumonitis after palliative radiotherapy in cancer patients with interstitial lung disease.
    Okumura M; Hojo H; Nakamura M; Hiyama T; Nakamura N; Zenda S; Motegi A; Hirano Y; Kageyama SI; Parshuram RV; Fujisawa T; Kuno H; Akimoto T
    Radiother Oncol; 2021 Aug; 161():47-54. PubMed ID: 34089755
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Quantitative effect of combined chemotherapy and fractionated radiotherapy on the incidence of radiation-induced lung damage: a prospective clinical study.
    Mah K; Keane TJ; Van Dyk J; Braban LE; Poon PY; Hao Y
    Int J Radiat Oncol Biol Phys; 1994 Feb; 28(3):563-74. PubMed ID: 7509329
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Pre-radiotherapy FDG PET predicts radiation pneumonitis in lung cancer.
    Castillo R; Pham N; Ansari S; Meshkov D; Castillo S; Li M; Olanrewaju A; Hobbs B; Castillo E; Guerrero T
    Radiat Oncol; 2014 Mar; 9():74. PubMed ID: 24625207
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of radiation pneumonitis using dose-volume histogram parameters with high attenuation in two types of cancer: A retrospective study.
    Uchida Y; Tsugawa T; Tanaka-Mizuno S; Noma K; Aoki K; Fukunaga K; Nakagawa H; Kinose D; Yamaguchi M; Osawa M; Nagao T; Ogawa E; Nakano Y
    PLoS One; 2020; 15(12):e0244143. PubMed ID: 33370345
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.