BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

278 related articles for article (PubMed ID: 35248997)

  • 1. A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models.
    Hindocha S; Charlton TG; Linton-Reid K; Hunter B; Chan C; Ahmed M; Robinson EJ; Orton M; Ahmad S; McDonald F; Locke I; Power D; Blackledge M; Lee RW; Aboagye EO
    EBioMedicine; 2022 Mar; 77():103911. PubMed ID: 35248997
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC.
    Hindocha S; Charlton TG; Linton-Reid K; Hunter B; Chan C; Ahmed M; Greenlay EJ; Orton M; Bunce C; Lunn J; Doran SJ; Ahmad S; McDonald F; Locke I; Power D; Blackledge M; Lee RW; Aboagye EO
    NPJ Precis Oncol; 2022 Oct; 6(1):77. PubMed ID: 36302938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting the Risk of Disease Recurrence and Death Following Curative-intent Radiotherapy for Non-small Cell Lung Cancer: The Development and Validation of Two Scoring Systems From a Large Multicentre UK Cohort.
    Evison M; Barrett E; Cheng A; Mulla A; Walls G; Johnston D; McAleese J; Moore K; Hicks J; Blyth K; Denholm M; Magee L; Gilligan D; Silverman S; Hiley C; Qureshi M; Clinch H; Hatton M; Philipps L; Brown S; O'Brien M; McDonald F; Faivre-Finn C
    Clin Oncol (R Coll Radiol); 2021 Mar; 33(3):145-154. PubMed ID: 32978027
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and Validation of a Machine Learning Model to Explore Tyrosine Kinase Inhibitor Response in Patients With Stage IV EGFR Variant-Positive Non-Small Cell Lung Cancer.
    Song J; Wang L; Ng NN; Zhao M; Shi J; Wu N; Li W; Liu Z; Yeom KW; Tian J
    JAMA Netw Open; 2020 Dec; 3(12):e2030442. PubMed ID: 33331920
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
    Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
    BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Immunotherapy (excluding checkpoint inhibitors) for stage I to III non-small cell lung cancer treated with surgery or radiotherapy with curative intent.
    Zhu J; Li R; Tiselius E; Roudi R; Teghararian O; Suo C; Song H
    Cochrane Database Syst Rev; 2017 Dec; 12(12):CD011300. PubMed ID: 29247502
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy.
    Li Q; Kim J; Balagurunathan Y; Qi J; Liu Y; Latifi K; Moros EG; Schabath MB; Ye Z; Gillies RJ; Dilling TJ
    Radiat Oncol; 2017 Sep; 12(1):158. PubMed ID: 28946909
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Population-based analysis of curative therapies in stage II non-small cell lung cancer: the role of radiotherapy in medically inoperable patients.
    Moore S; Leung B; Wu J; Ho C
    Radiat Oncol; 2020 Jan; 15(1):23. PubMed ID: 32000829
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning-Assisted Recurrence Prediction for Patients With Early-Stage Non-Small-Cell Lung Cancer.
    Janik A; Torrente M; Costabello L; Calvo V; Walsh B; Camps C; Mohamed SK; Ortega AL; Nováček V; Massutí B; Minervini P; Campelo MRG; Del Barco E; Bosch-Barrera J; Menasalvas E; Timilsina M; Provencio M
    JCO Clin Cancer Inform; 2023 Jul; 7():e2200062. PubMed ID: 37428988
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.
    Siah KW; Khozin S; Wong CH; Lo AW
    JCO Clin Cancer Inform; 2019 Sep; 3():1-11. PubMed ID: 31539267
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.
    Zheng S; Guo J; Langendijk JA; Both S; Veldhuis RNJ; Oudkerk M; van Ooijen PMA; Wijsman R; Sijtsema NM
    Radiother Oncol; 2023 Mar; 180():109483. PubMed ID: 36690302
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nomograms for Predicting Overall and Recurrence-free Survival From Pathologic Stage IA and IB Lung Cancer After Lobectomy.
    Merritt RE; Abdel-Rasoul M; Fitzgerald M; D'Souza DM; Kneuertz PJ
    Clin Lung Cancer; 2021 Jul; 22(4):e574-e583. PubMed ID: 33234491
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions.
    Bousabarah K; Blanck O; Temming S; Wilhelm ML; Hoevels M; Baus WW; Ruess D; Visser-Vandewalle V; Ruge MI; Treuer H; Kocher M
    Radiat Oncol; 2021 Apr; 16(1):74. PubMed ID: 33863358
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
    Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD; Rajiah P; Gilkeson R; Feldman MD; Choi H; Velcheti V; Madabhushi A
    Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 33334576
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Imaging features from pretreatment CT scans are associated with clinical outcomes in nonsmall-cell lung cancer patients treated with stereotactic body radiotherapy.
    Li Q; Kim J; Balagurunathan Y; Liu Y; Latifi K; Stringfield O; Garcia A; Moros EG; Dilling TJ; Schabath MB; Ye Z; Gillies RJ
    Med Phys; 2017 Aug; 44(8):4341-4349. PubMed ID: 28464316
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms.
    Kang J; Ning MS; Feng H; Li H; Bahig H; Brooks ED; Welsh JW; Ye R; Miao H; Chang JY
    Int J Radiat Oncol Biol Phys; 2020 Jan; 106(1):90-99. PubMed ID: 31586665
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival.
    She Y; Jin Z; Wu J; Deng J; Zhang L; Su H; Jiang G; Liu H; Xie D; Cao N; Ren Y; Chen C
    JAMA Netw Open; 2020 Jun; 3(6):e205842. PubMed ID: 32492161
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer.
    Sepehri S; Tankyevych O; Upadhaya T; Visvikis D; Hatt M; Cheze Le Rest C
    Diagnostics (Basel); 2021 Apr; 11(4):. PubMed ID: 33918681
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.
    Jochems A; El-Naqa I; Kessler M; Mayo CS; Jolly S; Matuszak M; Faivre-Finn C; Price G; Holloway L; Vinod S; Field M; Barakat MS; Thwaites D; de Ruysscher D; Dekker A; Lambin P
    Acta Oncol; 2018 Feb; 57(2):226-230. PubMed ID: 29034756
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.