BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 34205631)

  • 1. The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images.
    Corso F; Tini G; Lo Presti G; Garau N; De Angelis SP; Bellerba F; Rinaldi L; Botta F; Rizzo S; Origgi D; Paganelli C; Cremonesi M; Rampinelli C; Bellomi M; Mazzarella L; Pelicci PG; Gandini S; Raimondi S
    Cancers (Basel); 2021 Jun; 13(12):. PubMed ID: 34205631
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
    Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
    Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pre-treatment
    Ahn HK; Lee H; Kim SG; Hyun SH
    Clin Radiol; 2019 Jun; 74(6):467-473. PubMed ID: 30898382
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images.
    Chang R; Qi S; Yue Y; Zhang X; Song J; Qian W
    Front Oncol; 2021; 11():646190. PubMed ID: 34307127
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology.
    Wu W; Parmar C; Grossmann P; Quackenbush J; Lambin P; Bussink J; Mak R; Aerts HJ
    Front Oncol; 2016; 6():71. PubMed ID: 27064691
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictive Power of a Radiomic Signature Based on
    Li X; Yin G; Zhang Y; Dai D; Liu J; Chen P; Zhu L; Ma W; Xu W
    Front Oncol; 2019; 9():1062. PubMed ID: 31681597
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical, Conventional CT and Radiomic Feature-Based Machine Learning Models for Predicting ALK Rearrangement Status in Lung Adenocarcinoma Patients.
    Song L; Zhu Z; Mao L; Li X; Han W; Du H; Wu H; Song W; Jin Z
    Front Oncol; 2020; 10():369. PubMed ID: 32266148
    [No Abstract]   [Full Text] [Related]  

  • 8. Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach.
    Chen BT; Chen Z; Ye N; Mambetsariev I; Fricke J; Daniel E; Wang G; Wong CW; Rockne RC; Colen RR; Nasser MW; Batra SK; Holodny AI; Sampath S; Salgia R
    Front Oncol; 2020; 10():593. PubMed ID: 32391274
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
    Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
    Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
    Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
    J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
    Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
    Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.
    Hu J; Zhao Y; Li M; Liu Y; Wang F; Weng Q; You R; Cao D
    Eur J Radiol; 2020 May; 126():108929. PubMed ID: 32169748
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
    Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
    BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics.
    Kadoya N; Tanaka S; Kajikawa T; Tanabe S; Abe K; Nakajima Y; Yamamoto T; Takahashi N; Takeda K; Dobashi S; Takeda K; Nakane K; Jingu K
    Med Phys; 2020 Jun; 47(5):2197-2205. PubMed ID: 32096876
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer.
    Parmar C; Grossmann P; Rietveld D; Rietbergen MM; Lambin P; Aerts HJ
    Front Oncol; 2015; 5():272. PubMed ID: 26697407
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes.
    Arefan D; Hausler RM; Sumkin JH; Sun M; Wu S
    BMC Cancer; 2021 Apr; 21(1):370. PubMed ID: 33827490
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning Models for Sarcopenia Identification Based on Radiomic Features of Muscles in Computed Tomography.
    Kim YJ
    Int J Environ Res Public Health; 2021 Aug; 18(16):. PubMed ID: 34444459
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer.
    Volpe S; Isaksson LJ; Zaffaroni M; Pepa M; Raimondi S; Botta F; Lo Presti G; Vincini MG; Rampinelli C; Cremonesi M; de Marinis F; Spaggiari L; Gandini S; Guckenberger M; Orecchia R; Jereczek-Fossa BA
    Transl Lung Cancer Res; 2022 Dec; 11(12):2452-2463. PubMed ID: 36636424
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study.
    Ou J; Li R; Zeng R; Wu CQ; Chen Y; Chen TW; Zhang XM; Wu L; Jiang Y; Yang JQ; Cao JM; Tang S; Tang MJ; Hu J
    Cancer Imaging; 2019 Oct; 19(1):66. PubMed ID: 31619297
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics analysis on CT images for prediction of radiation-induced kidney damage by machine learning models.
    Amiri S; Akbarabadi M; Abdolali F; Nikoofar A; Esfahani AJ; Cheraghi S
    Comput Biol Med; 2021 Jun; 133():104409. PubMed ID: 33940534
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.