These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

208 related articles for article (PubMed ID: 30158540)

  • 1. Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies.
    Ger RB; Zhou S; Chi PM; Lee HJ; Layman RR; Jones AK; Goff DL; Fuller CD; Howell RM; Li H; Stafford RJ; Court LE; Mackin DS
    Sci Rep; 2018 Aug; 8(1):13047. PubMed ID: 30158540
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Measuring Computed Tomography Scanner Variability of Radiomics Features.
    Mackin D; Fave X; Zhang L; Fried D; Yang J; Taylor B; Rodriguez-Rivera E; Dodge C; Jones AK; Court L
    Invest Radiol; 2015 Nov; 50(11):757-65. PubMed ID: 26115366
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Influence of inter-observer delineation variability on radiomics stability in different tumor sites.
    Pavic M; Bogowicz M; Würms X; Glatz S; Finazzi T; Riesterer O; Roesch J; Rudofsky L; Friess M; Veit-Haibach P; Huellner M; Opitz I; Weder W; Frauenfelder T; Guckenberger M; Tanadini-Lang S
    Acta Oncol; 2018 Aug; 57(8):1070-1074. PubMed ID: 29513054
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Effects of alterations in positron emission tomography imaging parameters on radiomics features.
    Ger RB; Meier JG; Pahlka RB; Gay S; Mumme R; Fuller CD; Li H; Howell RM; Layman RR; Stafford RJ; Zhou S; Mawlawi O; Court LE
    PLoS One; 2019; 14(9):e0221877. PubMed ID: 31487307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis.
    Haga A; Takahashi W; Aoki S; Nawa K; Yamashita H; Abe O; Nakagawa K
    Radiol Phys Technol; 2018 Mar; 11(1):27-35. PubMed ID: 29209915
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature selection methodology for longitudinal cone-beam CT radiomics.
    van Timmeren JE; Leijenaar RTH; van Elmpt W; Reymen B; Lambin P
    Acta Oncol; 2017 Nov; 56(11):1537-1543. PubMed ID: 28826307
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma.
    Bogowicz M; Riesterer O; Stark LS; Studer G; Unkelbach J; Guckenberger M; Tanadini-Lang S
    Acta Oncol; 2017 Nov; 56(11):1531-1536. PubMed ID: 28820287
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
    Fave X; Mackin D; Yang J; Zhang J; Fried D; Balter P; Followill D; Gomez D; Jones AK; Stingo F; Fontenot J; Court L
    Med Phys; 2015 Dec; 42(12):6784-97. PubMed ID: 26632036
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status.
    Ou D; Blanchard P; Rosellini S; Levy A; Nguyen F; Leijenaar RTH; Garberis I; Gorphe P; Bidault F; Ferté C; Robert C; Casiraghi O; Scoazec JY; Lambin P; Temam S; Deutsch E; Tao Y
    Oral Oncol; 2017 Aug; 71():150-155. PubMed ID: 28688683
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma.
    Bogowicz M; Riesterer O; Ikenberg K; Stieb S; Moch H; Studer G; Guckenberger M; Tanadini-Lang S
    Int J Radiat Oncol Biol Phys; 2017 Nov; 99(4):921-928. PubMed ID: 28807534
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics for Classifying Histological Subtypes of Lung Cancer Based on Multiphasic Contrast-Enhanced Computed Tomography.
    E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
    J Comput Assist Tomogr; 2019; 43(2):300-306. PubMed ID: 30664116
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics.
    Orlhac F; Frouin F; Nioche C; Ayache N; Buvat I
    Radiology; 2019 Apr; 291(1):53-59. PubMed ID: 30694160
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer.
    Fave X; Zhang L; Yang J; Mackin D; Balter P; Gomez D; Followill D; Jones AK; Stingo F; Liao Z; Mohan R; Court L
    Sci Rep; 2017 Apr; 7(1):588. PubMed ID: 28373718
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor models.
    Bogowicz M; Leijenaar RTH; Tanadini-Lang S; Riesterer O; Pruschy M; Studer G; Unkelbach J; Guckenberger M; Konukoglu E; Lambin P
    Radiother Oncol; 2017 Dec; 125(3):385-391. PubMed ID: 29122358
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning helps identifying volume-confounding effects in radiomics.
    Traverso A; Kazmierski M; Zhovannik I; Welch M; Wee L; Jaffray D; Dekker A; Hope A
    Phys Med; 2020 Mar; 71():24-30. PubMed ID: 32088562
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correlation between CT based radiomics features and gene expression data in non-small cell lung cancer.
    Wang T; Gong J; Duan HH; Wang LJ; Ye XD; Nie SD
    J Xray Sci Technol; 2019; 27(5):773-803. PubMed ID: 31450540
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamics of tumor hypoxia assessed by 18F-FAZA PET/CT in head and neck and lung cancer patients during chemoradiation: possible implications for radiotherapy treatment planning strategies.
    Bollineni VR; Koole MJ; Pruim J; Brouwer CL; Wiegman EM; Groen HJ; Vlasman R; Halmos GB; Oosting SF; Langendijk JA; Widder J; Steenbakkers RJ
    Radiother Oncol; 2014 Nov; 113(2):198-203. PubMed ID: 25434768
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients.
    Ger RB; Zhou S; Elgohari B; Elhalawani H; Mackin DM; Meier JG; Nguyen CM; Anderson BM; Gay C; Ning J; Fuller CD; Li H; Howell RM; Layman RR; Mawlawi O; Stafford RJ; Aerts H; Court LE
    PLoS One; 2019; 14(9):e0222509. PubMed ID: 31536526
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer.
    Lee SH; Cho HH; Lee HY; Park H
    Cancer Imaging; 2019 Jul; 19(1):54. PubMed ID: 31349872
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
    Chen X; Fang M; Dong D; Wei X; Liu L; Xu X; Jiang X; Tian J; Liu Z
    Acad Radiol; 2018 Dec; 25(12):1548-1555. PubMed ID: 29572049
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.