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 *

166 related articles for article (PubMed ID: 39157293)

  • 21. Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.
    Beichel RR; Smith BJ; Bauer C; Ulrich EJ; Ahmadvand P; Budzevich MM; Gillies RJ; Goldgof D; Grkovski M; Hamarneh G; Huang Q; Kinahan PE; Laymon CM; Mountz JM; Muzi JP; Muzi M; Nehmeh S; Oborski MJ; Tan Y; Zhao B; Sunderland JJ; Buatti JM
    Med Phys; 2017 Feb; 44(2):479-496. PubMed ID: 28205306
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Cone-beam computed tomography-based delta-radiomics for early response assessment in radiotherapy for locally advanced lung cancer.
    Shi L; Rong Y; Daly M; Dyer B; Benedict S; Qiu J; Yamamoto T
    Phys Med Biol; 2020 Jan; 65(1):015009. PubMed ID: 31307024
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study.
    Kobe A; Zgraggen J; Messmer F; Puippe G; Sartoretti T; Alkadhi H; Pfammatter T; Mannil M
    Eur J Radiol Open; 2021; 8():100375. PubMed ID: 34485629
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis.
    Ligero M; Jordi-Ollero O; Bernatowicz K; Garcia-Ruiz A; Delgado-Muñoz E; Leiva D; Mast R; Suarez C; Sala-Llonch R; Calvo N; Escobar M; Navarro-Martin A; Villacampa G; Dienstmann R; Perez-Lopez R
    Eur Radiol; 2021 Mar; 31(3):1460-1470. PubMed ID: 32909055
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Technical and clinical considerations of a physical liver phantom for CT radiomics analysis.
    Varghese BA; Cen SY; Jensen K; Levy J; Andersen HK; Schulz A; Lei X; Duddalwar VA; Goodenough DJ
    J Appl Clin Med Phys; 2024 Apr; 25(4):e14309. PubMed ID: 38386922
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features: A Phantom Study.
    Lee SB; Cho YJ; Hong Y; Jeong D; Lee J; Kim SH; Lee S; Choi YH
    Invest Radiol; 2022 May; 57(5):308-317. PubMed ID: 34839305
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Longitudinal acquisition repeatability of MRI radiomics features: An ACR MRI phantom study on two MRI scanners using a 3D T1W TSE sequence.
    Wong OL; Yuan J; Zhou Y; Yu SK; Cheung KY
    Med Phys; 2021 Mar; 48(3):1239-1249. PubMed ID: 33370474
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Delta-radiomics increases multicentre reproducibility: a phantom study.
    Nardone V; Reginelli A; Guida C; Belfiore MP; Biondi M; Mormile M; Banci Buonamici F; Di Giorgio E; Spadafora M; Tini P; Grassi R; Pirtoli L; Correale P; Cappabianca S; Grassi R
    Med Oncol; 2020 Mar; 37(5):38. PubMed ID: 32236847
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Cone-beam computed-tomography-based delta-radiomic analysis for investigating prognostic power for esophageal squamous cell cancer patients undergoing concurrent chemoradiotherapy.
    Nakamoto T; Yamashita H; Jinnouchi H; Nawa K; Imae T; Takenaka S; Aoki A; Ohta T; Ozaki S; Nozawa Y; Nakagawa K
    Phys Med; 2024 Jan; 117():103182. PubMed ID: 38086310
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Prediction of SBRT response in liver cancer by combining original and delta cone-beam CT radiomics: a pilot study.
    Yang P; Shan J; Ge X; Zhou Q; Ding M; Niu T; Du J
    Phys Eng Sci Med; 2024 Mar; 47(1):295-307. PubMed ID: 38165634
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based radiomics in head and neck cancers: a systematic review and radiomics quality score assessment.
    Ismail M; Hanifa MAM; Mahidin EIM; Manan HA; Yahya N
    Quant Imaging Med Surg; 2024 Sep; 14(9):6963-6977. PubMed ID: 39281127
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Repeatability of CBCT radiomic features and their correlation with CT radiomic features for prostate cancer.
    Delgadillo R; Spieler BO; Ford JC; Kwon D; Yang F; Studenski M; Padgett KR; Abramowitz MC; Dal Pra A; Stoyanova R; Pollack A; Dogan N
    Med Phys; 2021 May; 48(5):2386-2399. PubMed ID: 33598943
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multicenter evaluation of MRI-based radiomic features: A phantom study.
    Rai R; Holloway LC; Brink C; Field M; Christiansen RL; Sun Y; Barton MB; Liney GP
    Med Phys; 2020 Jul; 47(7):3054-3063. PubMed ID: 32277703
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Accuracy of MDCT and CBCT in three-dimensional evaluation of the oropharynx morphology.
    Chen H; van Eijnatten M; Aarab G; Forouzanfar T; de Lange J; van der Stelt P; Lobbezoo F; Wolff J
    Eur J Orthod; 2018 Jan; 40(1):58-64. PubMed ID: 28453722
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study.
    Scapicchio C; Imbriani M; Lizzi F; Quattrocchi M; Retico A; Saponaro S; Tenerani MI; Tofani A; Zafaranchi A; Fantacci ME
    Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38653209
    [No Abstract]   [Full Text] [Related]  

  • 37. Reliability of MRI radiomics features in MR-guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within-subject agreement.
    Xue C; Yuan J; Poon DM; Zhou Y; Yang B; Yu SK; Cheung YK
    Med Phys; 2021 Nov; 48(11):6976-6986. PubMed ID: 34562286
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
    Zhu Y; Ma Y; Zhai Z; Liu A; Wang Y; Zhang Y; Li H; Zhao M; Han P; Yin L; He N; Wu Y; Sechopoulos I; Ye Z; Caballo M
    Eur Radiol; 2024 Apr; 34(4):2576-2589. PubMed ID: 37782338
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Robustness of radiomics among photon-counting detector CT and dual-energy CT systems: a texture phantom study.
    Zhu L; Dong H; Sun J; Wang L; Xing Y; Hu Y; Lu J; Yang J; Chu J; Yan C; Yuan F; Zhong J
    Eur Radiol; 2024 Jul; ():. PubMed ID: 39048741
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Technical Note: Proof of concept for radiomics-based quality assurance for computed tomography.
    Branco LRF; Ger RB; Mackin DS; Zhou S; Court LE; Layman RR
    J Appl Clin Med Phys; 2019 Nov; 20(11):199-205. PubMed ID: 31609076
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.