BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 21956404)

  • 1. Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.
    Atuegwu NC; Arlinghaus LR; Li X; Welch EB; Chakravarthy BA; Gore JC; Yankeelov TE
    Magn Reson Med; 2011 Dec; 66(6):1689-96. PubMed ID: 21956404
    [TBL] [Abstract][Full Text] [Related]  

  • 2. High resolution in vivo characterization of apparent diffusion coefficient at the tumor-stromal boundary of breast carcinomas: a pilot study to assess treatment response using proximity-dependent diffusion-weighted imaging.
    McLaughlin RL; Newitt DC; Wilmes LJ; Jones EF; Wisner DJ; Kornak J; Proctor E; Joe BN; Hylton NM
    J Magn Reson Imaging; 2014 May; 39(5):1308-13. PubMed ID: 24719242
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.
    Hahn SY; Ko EY; Han BK; Shin JH; Ko ES
    Eur J Radiol; 2014 Feb; 83(2):283-8. PubMed ID: 24315957
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Tumor apparent diffusion coefficient as an imaging biomarker to predict tumor aggressiveness in patients with estrogen-receptor-positive breast cancer.
    Shin HJ; Kim SH; Lee HJ; Gong G; Baek S; Chae EY; Choi WJ; Cha JH; Kim HH
    NMR Biomed; 2016 Aug; 29(8):1070-8. PubMed ID: 27332719
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results.
    Jarrett AM; Hormuth DA; Barnes SL; Feng X; Huang W; Yankeelov TE
    Phys Med Biol; 2018 May; 63(10):105015. PubMed ID: 29697054
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combination of 18F-FDG PET/CT and diffusion-weighted MR imaging as a predictor of histologic response to neoadjuvant chemotherapy: preliminary results in osteosarcoma.
    Byun BH; Kong CB; Lim I; Choi CW; Song WS; Cho WH; Jeon DG; Koh JS; Lee SY; Lim SM
    J Nucl Med; 2013 Jul; 54(7):1053-9. PubMed ID: 23670899
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
    Horvat JV; Bernard-Davila B; Helbich TH; Zhang M; Morris EA; Thakur SB; Ochoa-Albiztegui RE; Leithner D; Marino MA; Baltzer PA; Clauser P; Kapetas P; Bago-Horvath Z; Pinker K
    J Magn Reson Imaging; 2019 Sep; 50(3):836-846. PubMed ID: 30811717
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications.
    Partridge SC; McDonald ES
    Magn Reson Imaging Clin N Am; 2013 Aug; 21(3):601-24. PubMed ID: 23928248
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Simultaneous changes of magnetic resonance diffusion-weighted imaging and pathological microstructure in locally advanced cervical cancer caused by neoadjuvant chemotherapy.
    Fu C; Feng X; Bian D; Zhao Y; Fang X; Du W; Wang L; Wang X
    J Magn Reson Imaging; 2015 Aug; 42(2):427-35. PubMed ID: 25328994
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings.
    Woodhams R; Kakita S; Hata H; Iwabuchi K; Umeoka S; Mountford CE; Hatabu H
    AJR Am J Roentgenol; 2009 Jul; 193(1):260-6. PubMed ID: 19542422
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diffusion weighted MR imaging of the breast.
    Abdel Razek AA; Gaballa G; Denewer A; Tawakol I
    Acad Radiol; 2010 Mar; 17(3):382-6. PubMed ID: 20004597
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Preliminary study of early response to neoadjuvant chemotherapy after the first cycle in breast cancer: comparison of 1H magnetic resonance spectroscopy with diffusion magnetic resonance imaging.
    Tozaki M; Oyama Y; Fukuma E
    Jpn J Radiol; 2010 Feb; 28(2):101-9. PubMed ID: 20182844
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Monitoring response to chemotherapy of non-Hodgkin's lymphoma xenografts by T(2)-weighted and diffusion-weighted MRI.
    Huang MQ; Pickup S; Nelson DS; Qiao H; Xu HN; Li LZ; Zhou R; Delikatny EJ; Poptani H; Glickson JD
    NMR Biomed; 2008 Nov; 21(10):1021-9. PubMed ID: 18988250
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatially quantifying microscopic tumor invasion and proliferation using a voxel-wise solution to a glioma growth model and serial diffusion MRI.
    Ellingson BM; LaViolette PS; Rand SD; Malkin MG; Connelly JM; Mueller WM; Prost RW; Schmainda KM
    Magn Reson Med; 2011 Apr; 65(4):1131-43. PubMed ID: 21413079
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.
    Liu C; Liang C; Liu Z; Zhang S; Huang B
    Eur J Radiol; 2013 Dec; 82(12):e782-9. PubMed ID: 24034833
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment.
    Ma B; Meyer CR; Pickles MD; Chenevert TL; Bland PH; Galbán CJ; Rehemtulla A; Turnbull LW; Ross BD
    Inf Process Med Imaging; 2009; 21():276-87. PubMed ID: 19694270
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diffusion-weighted MRI of breast lesions: a prospective clinical investigation of the quantitative imaging biomarker characteristics of reproducibility, repeatability, and diagnostic accuracy.
    Spick C; Bickel H; Pinker K; Bernathova M; Kapetas P; Woitek R; Clauser P; Polanec SH; Rudas M; Bartsch R; Helbich TH; Baltzer PA
    NMR Biomed; 2016 Oct; 29(10):1445-53. PubMed ID: 27553252
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Incorporation of diffusion-weighted magnetic resonance imaging data into a simple mathematical model of tumor growth.
    Atuegwu NC; Colvin DC; Loveless ME; Xu L; Gore JC; Yankeelov TE
    Phys Med Biol; 2012 Jan; 57(1):225-40. PubMed ID: 22156038
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Response to chemotherapy in gastric adenocarcinoma with diffusion-weighted MRI and (18) F-FDG-PET/CT: correlation of apparent diffusion coefficient and partial volume corrected standardized uptake value with histological tumor regression grade.
    Giganti F; De Cobelli F; Canevari C; Orsenigo E; Gallivanone F; Esposito A; Castiglioni I; Ambrosi A; Albarello L; Mazza E; Gianolli L; Staudacher C; Del Maschio A
    J Magn Reson Imaging; 2014 Nov; 40(5):1147-57. PubMed ID: 24214734
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diffusion-weighted imaging and (18) F-fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors.
    Karan B; Pourbagher A; Torun N
    J Magn Reson Imaging; 2016 Jun; 43(6):1434-44. PubMed ID: 26663655
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.