Year |
Citation |
Score |
2020 |
Syed AK, Whisenant JG, Barnes SL, Sorace AG, Yankeelov TE. Multiparametric Analysis of Longitudinal Quantitative MRI data to Identify Distinct Tumor Habitats in Preclinical Models of Breast Cancer. Cancers. 12. PMID 32599906 DOI: 10.3390/Cancers12061682 |
0.45 |
|
2019 |
Sorace A, Virostko J, Wu C, Jarrett A, Barnes S, Ekrut D, Patt D, Goodgame B, Avery S, Yankeelov T. Abstract P1-01-02: Quantitative breast MRI to predict response to neoadjuvant therapy in community imaging centers: Preliminary results Cancer Research. 79. DOI: 10.1158/1538-7445.Sabcs18-P1-01-02 |
0.418 |
|
2018 |
Jarrett AM, Hormuth Ii DA, Barnes SL, Feng X, Huang W, Yankeelov TE. 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. Physics in Medicine and Biology. PMID 29697054 DOI: 10.1088/1361-6560/Aac040 |
0.482 |
|
2018 |
Sorace AG, Wu C, Barnes SL, Jarrett AM, Avery S, Patt D, Goodgame B, Luci JJ, Kang H, Abramson RG, Yankeelov TE, Virostko J. Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. Journal of Magnetic Resonance Imaging : Jmri. PMID 29570895 DOI: 10.1002/Jmri.26011 |
0.358 |
|
2018 |
Sorace AG, Partridge SC, Li X, Virostko J, Barnes SL, Hippe DS, Huang W, Yankeelov TE. Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial. Journal of Medical Imaging (Bellingham, Wash.). 5: 011019. PMID 29392160 DOI: 10.1117/1.Jmi.5.1.011019 |
0.392 |
|
2018 |
Virostko J, Hainline A, Kang H, Arlinghaus LR, Abramson RG, Barnes SL, Blume JD, Avery S, Patt D, Goodgame B, Yankeelov TE, Sorace AG. Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis. Journal of Medical Imaging (Bellingham, Wash.). 5: 011011. PMID 29201942 DOI: 10.1117/1.Jmi.5.1.011011 |
0.42 |
|
2018 |
Sorace A, Virostko J, Wu C, Jarrett A, Barnes S, Luci J, Patt D, Goodgame B, Avery S, Yankeelov T. Abstract P4-02-08: Repeatability and reproducibility of quantitative breast MRI in community imaging centers: Preliminary results Cancer Research. 78. DOI: 10.1158/1538-7445.Sabcs17-P4-02-08 |
0.357 |
|
2018 |
Sorace A, Virostko J, Wu C, Jarrett AM, Barnes SL, Patt D, Goodgame B, Avery S, Yankeelov TE. Abstract 3043: Quantitative MRI during neoadjuvant therapy for predicting breast cancer response in the community setting Tumor Biology. DOI: 10.1158/1538-7445.Am2018-3043 |
0.334 |
|
2017 |
Hormuth DA, Weis JA, Barnes SL, Miga MI, Quaranta V, Yankeelov TE. Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer. International Journal of Radiation Oncology, Biology, Physics. PMID 29398129 DOI: 10.1016/J.Ijrobp.2017.12.004 |
0.55 |
|
2017 |
Woodall RT, Barnes SL, Hormuth DA, Sorace AG, Quarles CC, Yankeelov TE. The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magnetic Resonance in Medicine. PMID 29115690 DOI: 10.1002/Mrm.26995 |
0.414 |
|
2017 |
Barnes SL, Sorace AG, Whisenant JG, McIntyre JO, Kang H, Yankeelov TE. DCE- and DW-MRI as early imaging biomarkers of treatment response in a preclinical model of triple negative breast cancer. Nmr in Biomedicine. PMID 28915312 DOI: 10.1002/Nbm.3799 |
0.363 |
|
2017 |
McKenna MT, Weis JA, Barnes SL, Tyson DR, Miga MI, Quaranta V, Yankeelov TE. A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer. Scientific Reports. 7: 5725. PMID 28720897 DOI: 10.1038/S41598-017-05902-Z |
0.586 |
|
2017 |
Hormuth DA, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth. Journal of the Royal Society, Interface. 14. PMID 28330985 DOI: 10.1098/Rsif.2016.1010 |
0.6 |
|
2017 |
Syed A, Quarles C, McIntyre J, Barnes S, Yankeelov T, Sorace A. Abstract P4-12-12: Quantitativein vivoimaging of intratumoral heterogeneity to assess tumor response to trastuzumab treatment in a preclinical model of HER2+ breast cancer Cancer Research. 77. DOI: 10.1158/1538-7445.Sabcs16-P4-12-12 |
0.38 |
|
2017 |
Sorace A, Barnes S, Quarles C, McIntyre J, Yankeelov T. Abstract P4-02-02: Increased tumor perfusion following treatment with trastuzumab as measured by contrast-enhanced ultrasound Cancer Research. 77. DOI: 10.1158/1538-7445.Sabcs16-P4-02-02 |
0.333 |
|
2017 |
McKenna MT, Barnes SL, Weis JA, Searfoss AM, Tyson DR, Rericha EC, Miga MI, Quaranta V, Yankeelov TE. Abstract A14: Predicting the response of triple negative breast cancer to doxorubicin Cancer Research. 77. DOI: 10.1158/1538-7445.Epso16-A14 |
0.58 |
|
2017 |
Syed A, Sorace AG, Barnes SL, Arlinghaus L, Li X, Yankeelov TE. Abstract 3941: Assessing heterogeneity in DCE-MRI data of breast cancer to predict treatment response Cancer Research. 77: 3941-3941. DOI: 10.1158/1538-7445.Am2017-3941 |
0.35 |
|
2016 |
Sorace AG, Syed AK, Barnes SL, Quarles CC, Sanchez V, Kang H, Yankeelov TE. Quantitative [(18)F]FMISO PET Imaging Shows Reduction of Hypoxia Following Trastuzumab in a Murine Model of HER2+ Breast Cancer. Molecular Imaging and Biology : Mib : the Official Publication of the Academy of Molecular Imaging. PMID 27506906 DOI: 10.1007/S11307-016-0994-1 |
0.338 |
|
2016 |
McKenna MT, Barnes SL, Searfoss A, Tyson DR, Rericha E, Quaranta V, Yankeelov TE. Abstract 776: Multiscale treatment response model for triple-negative breast cancer linking drug pharmacokinetics to tumor cell population dynamics Cancer Research. 76: 776-776. DOI: 10.1158/1538-7445.Am2016-776 |
0.393 |
|
2015 |
Barnes SL, Sorace AG, Loveless ME, Whisenant JG, Yankeelov TE. Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer. Nmr in Biomedicine. 28: 1345-56. PMID 26332194 DOI: 10.1002/Nbm.3377 |
0.399 |
|
2015 |
Hormuth Ii DA, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V, Yankeelov TE. Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data. Physical Biology. 12: 046006. PMID 26040472 DOI: 10.1088/1478-3975/12/4/046006 |
0.601 |
|
2015 |
Felix DD, Gore JC, Yankeelov TE, Peterson TE, Barnes S, Whisenant J, Weis J, Shoukouhi S, Virostko J, Nickels M, McIntyre JO, Sanders M, Abramson V, Tantawy MN. Detection of breast cancer microcalcification using (99m)Tc-MDP SPECT or Osteosense 750EX FMT imaging. Nuclear Medicine and Biology. 42: 269-73. PMID 25533764 DOI: 10.1016/J.Nucmedbio.2014.11.010 |
0.351 |
|
2014 |
Barnes SL, Quarles CC, Yankeelov TE. Modeling the effect of intra-voxel diffusion of contrast agent on the quantitative analysis of dynamic contrast enhanced magnetic resonance imaging. Plos One. 9: e108726. PMID 25275536 DOI: 10.1371/Journal.Pone.0108726 |
0.392 |
|
2014 |
Wilson GH, Gore JC, Yankeelov TE, Barnes S, Peterson TE, True JM, Shokouhi S, McIntyre JO, Sanders M, Abramson V, Ngyuen TQ, Mahadevan-Jansen A, Tantawy MN. An Approach to Breast Cancer Diagnosis via PET Imaging of Microcalcifications Using (18)F-NaF. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. 55: 1138-43. PMID 24833491 DOI: 10.2967/Jnumed.114.139170 |
0.377 |
|
2014 |
Bryant ND, Li K, Does MD, Barnes S, Gochberg DF, Yankeelov TE, Park JH, Damon BM. Multi-parametric MRI characterization of inflammation in murine skeletal muscle. Nmr in Biomedicine. 27: 716-25. PMID 24777935 DOI: 10.1002/Nbm.3113 |
0.37 |
|
2014 |
Whisenant JG, Ayers GD, Loveless ME, Barnes SL, Colvin DC, Yankeelov TE. Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer. Magnetic Resonance Imaging. 32: 245-9. PMID 24433723 DOI: 10.1016/J.Mri.2013.10.013 |
0.424 |
|
2013 |
Yankeelov TE, Atuegwu N, Hormuth D, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V. Clinically relevant modeling of tumor growth and treatment response. Science Translational Medicine. 5: 187ps9. PMID 23720579 DOI: 10.1126/Scitranslmed.3005686 |
0.591 |
|
2013 |
Fluckiger JU, Loveless ME, Barnes SL, Lepage M, Yankeelov TE. A diffusion-compensated model for the analysis of DCE-MRI data: theory, simulations and experimental results. Physics in Medicine and Biology. 58: 1983-98. PMID 23458745 DOI: 10.1088/0031-9155/58/6/1983 |
0.387 |
|
2013 |
Barnes SL, Whisenant JG, Loveless ME, Ayers GD, Yankeelov TE. Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer. Magnetic Resonance in Medicine. 69: 1721-34. PMID 22847762 DOI: 10.1002/Mrm.24422 |
0.457 |
|
2013 |
Weisa JA, Yankeelov TE, Munoz SA, Sastry RA, Barnes SL, Arlinghaus LR, Li X, Miga MI. A consistent pre-clinical/clinical elastography approach for assessing tumor mechanical properties in therapeutic systems Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8672. DOI: 10.1117/12.2007425 |
0.598 |
|
2012 |
Barnes SL, Whisenant JG, Loveless ME, Yankeelov TE. Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation. Pharmaceutics. 4: 442-78. PMID 23105959 DOI: 10.3390/Pharmaceutics4030442 |
0.436 |
|
2009 |
Barnes SL, Young PP, Miga MI. A novel model-gel-tissue assay analysis for comparing tumor elastic properties to collagen content. Biomechanics and Modeling in Mechanobiology. 8: 337-43. PMID 19308472 DOI: 10.1007/S10237-009-0150-9 |
0.599 |
|
2007 |
Barnes SL, Lyshchik A, Washington MK, Gore JC, Miga MI. Development of a mechanical testing assay for fibrotic murine liver. Medical Physics. 34: 4439-50. PMID 18072508 DOI: 10.1118/1.2795665 |
0.54 |
|
2007 |
Lyshchik A, Moses R, Barnes SL, Higashi T, Asato R, Miga MI, Gore JC, Fleischer AC. Quantitative analysis of tumor vascularity in benign and malignant solid thyroid nodules. Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine. 26: 837-46. PMID 17526616 DOI: 10.7863/Jum.2007.26.6.837 |
0.536 |
|
2006 |
Ou JJ, Barnes SL, Miga MI. Application of multi-resolution modality independent elastography for detection of multiple anomalous objects Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6143. DOI: 10.1117/12.652345 |
0.656 |
|
2006 |
Ou JJ, Barnes SL, Miga MI. Preliminary testing of sensitivity to input data quality in an elastographic reconstruction method 2006 3rd Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 2006: 948-951. |
0.647 |
|
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