Recent Publications

2019
  1. McKenna, MT, Weis, JA, Quaranta, V, Yankeelov, TE. Leveraging Mathematical Modeling to Quantify Pharmacokinetic and Pharmacodynamic Pathways: Equivalent Dose Metric. Front Physiol. 2019;10 :616. doi: 10.3389/fphys.2019.00616. PubMed PMID:31178753 PubMed Central PMC6538812.
  2. Chakraborty, S, Ozkan, A, Rylander, MN, Woodward, WA, Vlachos, P. Mixture theory modeling for characterizing solute transport in breast tumor tissues. J Biol Eng. 2019;13 :46. doi: 10.1186/s13036-019-0178-z. PubMed PMID:31160921 PubMed Central PMC6542036.
  3. Fuentes, D, Ahmed, K, Lin, JS, Abdel-Wahab, R, Kaseb, AO, Hassan, M et al.. Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr. 2019; :. doi: 10.1097/RCT.0000000000000866. PubMed PMID:31082984 .
  4. Fuentes, D, Ahmed, K, Lin, JS, Abdel-Wahab, R, Kaseb, AO, Hassan, M et al.. Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr. ;43 (3):499-506. doi: 10.1097/RCT.0000000000000866. PubMed PMID:31082956 .
  5. Rockne, RC, Hawkins-Daarud, A, Swanson, KR, Sluka, JP, Glazier, JA, Macklin, P et al.. The 2019 mathematical oncology roadmap. Phys Biol. 2019;16 (4):041005. doi: 10.1088/1478-3975/ab1a09. PubMed PMID:30991381 .
  6. Hormuth, DA 2nd, Jarrett, AM, Feng, X, Yankeelov, TE. Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI. Ann Biomed Eng. 2019;47 (7):1539-1551. doi: 10.1007/s10439-019-02262-9. PubMed PMID:30963385 PubMed Central PMC6544501.
  7. Hormuth, DA 2nd, Sorace, AG, Virostko, J, Abramson, RG, Bhujwalla, ZM, Enriquez-Navas, P et al.. Translating preclinical MRI methods to clinical oncology. J Magn Reson Imaging. 2019; :. doi: 10.1002/jmri.26731. PubMed PMID:30925001 .
  8. Feng, X, Hormuth, DA 2nd, Yankeelov, TE. An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging. Comput Mech. 2019;63 (2):159-180. doi: 10.1007/s00466-018-1589-2. PubMed PMID:30880856 PubMed Central PMC6415692.
  9. Yankeelov, TE. The Quantitative Imaging Network: A Decade of Achievement. Tomography. 2019;5 (1):A8. doi: 10.18383/j.tom.2019.00999. PubMed PMID:30854462 PubMed Central PMC6403024.
  10. Bell, LC, Semmineh, N, An, H, Eldeniz, C, Wahl, R, Schmainda, KM et al.. Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO). Tomography. 2019;5 (1):110-117. doi: 10.18383/j.tom.2018.00041. PubMed PMID:30854448 PubMed Central PMC6403027.
  11. Huang, W, Chen, Y, Fedorov, A, Li, X, Jajamovich, GH, Malyarenko, DI et al.. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II. Tomography. 2019;5 (1):99-109. doi: 10.18383/j.tom.2018.00027. PubMed PMID:30854447 PubMed Central PMC6403046.
  12. Virostko, J, Sorace, AG, Wu, C, Ekrut, D, Jarrett, AM, Upadhyaya, RM et al.. Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy. Tomography. 2019;5 (1):44-52. doi: 10.18383/j.tom.2018.00019. PubMed PMID:30854441 PubMed Central PMC6403021.
  13. Liu, YL, Chou, CK, Kim, M, Vasisht, R, Kuo, YA, Ang, P et al.. Assessing metastatic potential of breast cancer cells based on EGFR dynamics. Sci Rep. 2019;9 (1):3395. doi: 10.1038/s41598-018-37625-0. PubMed PMID:30833579 PubMed Central PMC6399327.
  14. Ma, KY, Schonnesen, AA, Brock, A, Van Den Berg, C, Eckhardt, SG, Liu, Z et al.. Single-cell RNA sequencing of lung adenocarcinoma reveals heterogeneity of immune response-related genes. JCI Insight. 2019;4 (4):. doi: 10.1172/jci.insight.121387. PubMed PMID:30821712 PubMed Central PMC6478414.
  15. Hormuth, DA 2nd, Jarrett, AM, Lima, EABF, McKenna, MT, Fuentes, DT, Yankeelov, TE et al.. Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data. JCO Clin Cancer Inform. 2019;3 :1-10. doi: 10.1200/CCI.18.00055. PubMed PMID:30807209 PubMed Central PMC6535803.
  16. Walker, CM, Fuentes, D, Larson, PEZ, Kundra, V, Vigneron, DB, Bankson, JA et al.. Effects of excitation angle strategy on quantitative analysis of hyperpolarized pyruvate. Magn Reson Med. 2019;81 (6):3754-3762. doi: 10.1002/mrm.27687. PubMed PMID:30793791 PubMed Central PMC6435389.
  17. Johnson, K, Gomez, A, Burton, J, White, D, Chakravarty, A, Schmid, A et al.. Directional inconsistency between Response Evaluation Criteria in Solid Tumors (RECIST) time to progression and response speed and depth. Eur. J. Cancer. 2019;109 :196-203. doi: 10.1016/j.ejca.2018.11.008. PubMed PMID:30738696 .
  18. Gates, EDH, Lin, JS, Weinberg, JS, Hamilton, J, Prabhu, SS, Hazle, JD et al.. Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging. Neuro-oncology. 2019;21 (4):527-536. doi: 10.1093/neuonc/noz004. PubMed PMID:30657997 PubMed Central PMC6422438.
  19. Ozkan, A, Ghousifam, N, Hoopes, PJ, Yankeelov, TE, Rylander, MN. In vitro vascularized liver and tumor tissue microenvironments on a chip for dynamic determination of nanoparticle transport and toxicity. Biotechnol. Bioeng. 2019;116 (5):1201-1219. doi: 10.1002/bit.26919. PubMed PMID:30636289 .
  20. Beechar, VB, Prabhu, SS, Bastos, D, Weinberg, JS, Stafford, RJ, Fuentes, D et al.. Correction to: Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy. J. Neurooncol. 2019;141 (2):475. doi: 10.1007/s11060-019-03093-3. PubMed PMID:30635762 .
  21. Virostko, J, Williams, J, Hilmes, M, Bowman, C, Wright, JJ, Du, L et al.. Pancreas Volume Declines During the First Year After Diagnosis of Type 1 Diabetes and Exhibits Altered Diffusion at Disease Onset. Diabetes Care. 2019;42 (2):248-257. doi: 10.2337/dc18-1507. PubMed PMID:30552135 PubMed Central PMC6341292.
  22. Bloom, MJ, Saksena, SD, Swain, GP, Behar, MS, Yankeelov, TE, Sorace, AG et al.. The effects of IKK-beta inhibition on early NF-kappa-B activation and transcription of downstream genes. Cell. Signal. 2019;55 :17-25. doi: 10.1016/j.cellsig.2018.12.004. PubMed PMID:30543861 PubMed Central PMC6348059.
  23. Syed, AK, Woodall, R, Whisenant, JG, Yankeelov, TE, Sorace, AG. Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer. Neoplasia. 2019;21 (1):17-29. doi: 10.1016/j.neo.2018.10.008. PubMed PMID:30472501 PubMed Central PMC6260456.
  24. Saunders, DC, Brissova, M, Phillips, N, Shrestha, S, Walker, JT, Aramandla, R et al.. Ectonucleoside Triphosphate Diphosphohydrolase-3 Antibody Targets Adult Human Pancreatic β Cells for In Vitro and In Vivo Analysis. Cell Metab. 2019;29 (3):745-754.e4. doi: 10.1016/j.cmet.2018.10.007. PubMed PMID:30449685 PubMed Central PMC6402969.
  25. Wu, C, Pineda, F, Hormuth, DA 2nd, Karczmar, GS, Yankeelov, TE. Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors. Magn Reson Med. 2019;81 (3):2147-2160. doi: 10.1002/mrm.27529. PubMed PMID:30368906 PubMed Central PMC6347496.
2018
  1. Feng, X, Hormuth, DA 2nd, Yankeelov, TE. An adjoint-based method for a linear mechanically-coupled tumor model: Application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging. Comput Mech. 2019;63 (2):159-180. doi: 10.1007/s00466-018-1589-2. PubMed PMID:30880856 PubMed Central PMC6415692.
  2. Virostko, J, Williams, J, Hilmes, M, Bowman, C, Wright, JJ, Du, L et al.. Pancreas Volume Declines During the First Year After Diagnosis of Type 1 Diabetes and Exhibits Altered Diffusion at Disease Onset. Diabetes Care. 2019;42 (2):248-257. doi: 10.2337/dc18-1507. PubMed PMID:30552135 PubMed Central PMC6341292.
  3. Bloom, MJ, Saksena, SD, Swain, GP, Behar, MS, Yankeelov, TE, Sorace, AG et al.. The effects of IKK-beta inhibition on early NF-kappa-B activation and transcription of downstream genes. Cell. Signal. 2019;55 :17-25. doi: 10.1016/j.cellsig.2018.12.004. PubMed PMID:30543861 PubMed Central PMC6348059.
  4. Syed, AK, Woodall, R, Whisenant, JG, Yankeelov, TE, Sorace, AG. Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer. Neoplasia. 2019;21 (1):17-29. doi: 10.1016/j.neo.2018.10.008. PubMed PMID:30472501 PubMed Central PMC6260456.
  5. Saunders, DC, Brissova, M, Phillips, N, Shrestha, S, Walker, JT, Aramandla, R et al.. Ectonucleoside Triphosphate Diphosphohydrolase-3 Antibody Targets Adult Human Pancreatic β Cells for In Vitro and In Vivo Analysis. Cell Metab. 2019;29 (3):745-754.e4. doi: 10.1016/j.cmet.2018.10.007. PubMed PMID:30449685 PubMed Central PMC6402969.
  6. Wu, C, Pineda, F, Hormuth, DA 2nd, Karczmar, GS, Yankeelov, TE. Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors. Magn Reson Med. 2019;81 (3):2147-2160. doi: 10.1002/mrm.27529. PubMed PMID:30368906 PubMed Central PMC6347496.
  7. Fuentes, D, Muñoz, NM, Guo, C, Polak, U, Minhaj, AA, Allen, WJ et al.. A molecular dynamics approach towards evaluating osmotic and thermal stress in the extracellular environment. Int J Hyperthermia. 2018;35 (1):559-567. doi: 10.1080/02656736.2018.1512161. PubMed PMID:30303437 .
  8. Owens, CA, Peterson, CB, Tang, C, Koay, EJ, Yu, W, Mackin, DS et al.. Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer. PLoS ONE. 2018;13 (10):e0205003. doi: 10.1371/journal.pone.0205003. PubMed PMID:30286184 PubMed Central PMC6171919.
  9. Lima, EABF, Ghousifam, N, Ozkan, A, Oden, JT, Shahmoradi, A, Rylander, MN et al.. Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data. Sci Rep. 2018;8 (1):14558. doi: 10.1038/s41598-018-32347-9. PubMed PMID:30266911 PubMed Central PMC6162291.
  10. Jarrett, AM, Lima, EABF, Hormuth, DA 2nd, McKenna, MT, Feng, X, Ekrut, DA et al.. Mathematical models of tumor cell proliferation: A review of the literature. Expert Rev Anticancer Ther. 2018;18 (12):1271-1286. doi: 10.1080/14737140.2018.1527689. PubMed PMID:30252552 PubMed Central PMC6295418.
  11. Jarrett, AM, Bloom, MJ, Godfrey, W, Syed, AK, Ekrut, DA, Ehrlich, LI et al.. Mathematical modelling of trastuzumab-induced immune response in an in vivo murine model of HER2+ breast cancer. Math Med Biol. 2018; :. doi: 10.1093/imammb/dqy014. PubMed PMID:30239754 .
  12. Joyce, MH, Lu, C, James, ER, Hegab, R, Allen, SC, Suggs, LJ et al.. Phenotypic Basis for Matrix Stiffness-Dependent Chemoresistance of Breast Cancer Cells to Doxorubicin. Front Oncol. 2018;8 :337. doi: 10.3389/fonc.2018.00337. PubMed PMID:30234012 PubMed Central PMC6134055.
  13. Al'Khafaji, AM, Deatherage, D, Brock, A. Control of Lineage-Specific Gene Expression by Functionalized gRNA Barcodes. ACS Synth Biol. 2018;7 (10):2468-2474. doi: 10.1021/acssynbio.8b00105. PubMed PMID:30169961 .
  14. Howard, GR, Johnson, KE, Rodriguez Ayala, A, Yankeelov, TE, Brock, A. A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer. Sci Rep. 2018;8 (1):12058. doi: 10.1038/s41598-018-30467-w. PubMed PMID:30104569 PubMed Central PMC6089904.
  15. DeWitt, MR, Rylander, MN. Tunable Collagen Microfluidic Platform to Study Nanoparticle Transport in the Tumor Microenvironment. Methods Mol. Biol. 2018;1831 :159-178. doi: 10.1007/978-1-4939-8661-3_12. PubMed PMID:30051431 .
  16. Khalaf, AM, Fuentes, D, Morshid, AI, Burke, MR, Kaseb, AO, Hassan, M et al.. Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance. J Hepatocell Carcinoma. 2018;5 :61-73. doi: 10.2147/JHC.S156701. PubMed PMID:29984212 PubMed Central PMC6027703.
  17. Bobo, MF, Bao, S, Huo, Y, Yao, Y, Virostko, J, Plassard, AJ et al.. Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation. Proc SPIE Int Soc Opt Eng. 2018;10574 :. doi: 10.1117/12.2293751. PubMed PMID:29887665 PubMed Central PMC5992909.
  18. Jarrett, AM, Hormuth, DA, Barnes, SL, Feng, X, Huang, W, Yankeelov, TE et al.. 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. Phys Med Biol. 2018;63 (10):105015. doi: 10.1088/1361-6560/aac040. PubMed PMID:29697054 PubMed Central PMC5985823.
  19. McKenna, MT, Weis, JA, Brock, A, Quaranta, V, Yankeelov, TE. Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer. Transl Oncol. 2018;11 (3):732-742. doi: 10.1016/j.tranon.2018.03.009. PubMed PMID:29674173 PubMed Central PMC6056758.
  20. Sorace, AG, Wu, C, Barnes, SL, Jarrett, AM, Avery, S, Patt, D et al.. Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting. J Magn Reson Imaging. 2018; :. doi: 10.1002/jmri.26011. PubMed PMID:29570895 PubMed Central PMC6151298.
  21. Joint Head and Neck Radiotherapy-MRI Development Cooperative. Erratum: Dynamic contrast-enhanced magnetic resonance imaging for head and neck cancers. Sci Data. 2018;5 :180041. doi: 10.1038/sdata.2018.41. PubMed PMID:29557974 PubMed Central PMC5859876.
  22. Cassat, JE, Moore, JL, Wilson, KJ, Stark, Z, Prentice, BM, Van de Plas, R et al.. Integrated molecular imaging reveals tissue heterogeneity driving host-pathogen interactions. Sci Transl Med. 2018;10 (432):. doi: 10.1126/scitranslmed.aan6361. PubMed PMID:29540616 PubMed Central PMC6005374.
  23. Joint Head and Neck Radiotherapy-MRI Development Cooperative. Publisher Correction: A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Sci Rep. 2018;8 (1):4422. doi: 10.1038/s41598-018-20639-z. PubMed PMID:29520065 PubMed Central PMC5843662.
  24. McKenna, MT, Weis, JA, Quaranta, V, Yankeelov, TE. Variable Cell Line Pharmacokinetics Contribute to Non-Linear Treatment Response in Heterogeneous Cell Populations. Ann Biomed Eng. 2018;46 (6):899-911. doi: 10.1007/s10439-018-2001-2. PubMed PMID:29484528 PubMed Central PMC5935587.
  25. Joint Head and Neck Radiotherapy-MRI Development Cooperative. Dynamic contrast-enhanced magnetic resonance imaging for head and neck cancers. Sci Data. 2018;5 :180008. doi: 10.1038/sdata.2018.8. PubMed PMID:29437167 PubMed Central PMC5810424.
  26. Hormuth, DA 2nd, Weis, JA, Barnes, SL, Miga, MI, Quaranta, V, Yankeelov, TE et al.. Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer. Int. J. Radiat. Oncol. Biol. Phys. 2018;100 (5):1270-1279. doi: 10.1016/j.ijrobp.2017.12.004. PubMed PMID:29398129 PubMed Central PMC5934308.
  27. Sorace, AG, Partridge, SC, Li, X, Virostko, J, Barnes, SL, Hippe, DS et al.. 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. J Med Imaging (Bellingham). 2018;5 (1):011019. doi: 10.1117/1.JMI.5.1.011019. PubMed PMID:29392160 PubMed Central PMC5777541.
  28. Rocha, HL, Almeida, RC, Lima, EABF, Resende, ACM, Oden, JT, Yankeelov, TE et al.. A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH. Math Models Methods Appl Sci. 2018;28 (1):61-93. doi: 10.1142/S0218202518500021. PubMed PMID:29353950 PubMed Central PMC5773147.
  29. Hormuth, DA 2nd, Eldridge, SL, Weis, JA, Miga, MI, Yankeelov, TE. Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details. Methods Mol. Biol. 2018;1711 :225-241. doi: 10.1007/978-1-4939-7493-1_11. PubMed PMID:29344892 PubMed Central PMC6530463.
  30. Mitchell, D, Fahrenholtz, S, MacLellan, C, Bastos, D, Rao, G, Prabhu, S et al.. A heterogeneous tissue model for treatment planning for magnetic resonance-guided laser interstitial thermal therapy. Int J Hyperthermia. 2018;34 (7):943-952. doi: 10.1080/02656736.2018.1429679. PubMed PMID:29343140 .
  31. Kang, H, Hainline, A, Arlinghaus, LR, Elderidge, S, Li, X, Abramson, VG et al.. Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results. J Med Imaging (Bellingham). 2018;5 (1):011015. doi: 10.1117/1.JMI.5.1.011015. PubMed PMID:29322067 PubMed Central PMC5747275.
  32. Beechar, VB, Prabhu, SS, Bastos, D, Weinberg, JS, Stafford, RJ, Fuentes, D et al.. Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy. J. Neurooncol. 2018;137 (1):57-65. doi: 10.1007/s11060-017-2694-3. PubMed PMID:29204838 PubMed Central PMC5823725.
  33. Virostko, J, Hainline, A, Kang, H, Arlinghaus, LR, Abramson, RG, Barnes, SL et al.. 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. J Med Imaging (Bellingham). 2018;5 (1):011011. doi: 10.1117/1.JMI.5.1.011011. PubMed PMID:29201942 PubMed Central PMC5701084.
  34. Malyarenko, D, Fedorov, A, Bell, L, Prah, M, Hectors, S, Arlinghaus, L et al.. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. J Med Imaging (Bellingham). 2018;5 (1):011006. doi: 10.1117/1.JMI.5.1.011006. PubMed PMID:29134189 PubMed Central PMC5658654.
  35. Woodall, RT, Barnes, SL, Hormuth, DA 2nd, Sorace, AG, Quarles, CC, Yankeelov, TE et al.. The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magn Reson Med. 2018;80 (1):330-340. doi: 10.1002/mrm.26995. PubMed PMID:29115690 PubMed Central PMC5876107.
  36. Newitt, DC, Malyarenko, D, Chenevert, TL, Quarles, CC, Bell, L, Fedorov, A et al.. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. J Med Imaging (Bellingham). 2018;5 (1):011003. doi: 10.1117/1.JMI.5.1.011003. PubMed PMID:29021993 PubMed Central PMC5633866.
  37. Cardin, DB, Goff, LW, Chan, E, Whisenant, JG, Dan Ayers, G, Takebe, N et al.. Dual Src and EGFR inhibition in combination with gemcitabine in advanced pancreatic cancer: phase I results : A phase I clinical trial. Invest New Drugs. 2018;36 (3):442-450. doi: 10.1007/s10637-017-0519-z. PubMed PMID:28990119 PubMed Central PMC5891394.
  38. Bane, O, Hectors, SJ, Wagner, M, Arlinghaus, LL, Aryal, MP, Cao, Y et al.. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study. Magn Reson Med. 2018;79 (5):2564-2575. doi: 10.1002/mrm.26903. PubMed PMID:28913930 PubMed Central PMC5821553.
  39. MacLellan, CJ, Fuentes, D, Prabhu, S, Rao, G, Weinberg, JS, Hazle, JD et al.. A methodology for thermal dose model parameter development using perioperative MRI. Int J Hyperthermia. 2018;34 (6):687-696. doi: 10.1080/02656736.2017.1363418. PubMed PMID:28830311 .
  40. Melancon, MP, Appleton Figueira, T, Fuentes, DT, Tian, L, Qiao, Y, Gu, J et al.. Development of an Electroporation and Nanoparticle-based Therapeutic Platform for Bone Metastases. Radiology. 2018;286 (1):149-157. doi: 10.1148/radiol.2017161721. PubMed PMID:28825892 .
  41. Fahrenholtz, SJ, Madankan, R, Danish, S, Hazle, JD, Stafford, RJ, Fuentes, D et al.. Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images. Int J Hyperthermia. 2018;34 (1):101-111. doi: 10.1080/02656736.2017.1319974. PubMed PMID:28540820 PubMed Central PMC6295207.
2017
  1. Hormuth, DA 2nd, Weis, JA, Barnes, SL, Miga, MI, Quaranta, V, Yankeelov, TE et al.. Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer. Int. J. Radiat. Oncol. Biol. Phys. 2018;100 (5):1270-1279. doi: 10.1016/j.ijrobp.2017.12.004. PubMed PMID:29398129 PubMed Central PMC5934308.
  2. Rocha, HL, Almeida, RC, Lima, EABF, Resende, ACM, Oden, JT, Yankeelov, TE et al.. A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH. Math Models Methods Appl Sci. 2018;28 (1):61-93. doi: 10.1142/S0218202518500021. PubMed PMID:29353950 PubMed Central PMC5773147.
  3. Kang, H, Hainline, A, Arlinghaus, LR, Elderidge, S, Li, X, Abramson, VG et al.. Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results. J Med Imaging (Bellingham). 2018;5 (1):011015. doi: 10.1117/1.JMI.5.1.011015. PubMed PMID:29322067 PubMed Central PMC5747275.
  4. Lima, EABF, Oden, JT, Wohlmuth, B, Shahmoradi, A, Hormuth, DA 2nd, Yankeelov, TE et al.. Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data. Comput Methods Appl Mech Eng. 2017;327 :277-305. doi: 10.1016/j.cma.2017.08.009. PubMed PMID:29269963 PubMed Central PMC5734134.
  5. Beechar, VB, Prabhu, SS, Bastos, D, Weinberg, JS, Stafford, RJ, Fuentes, D et al.. Volumetric response of progressing post-SRS lesions treated with laser interstitial thermal therapy. J. Neurooncol. 2018;137 (1):57-65. doi: 10.1007/s11060-017-2694-3. PubMed PMID:29204838 PubMed Central PMC5823725.
  6. Virostko, J, Hainline, A, Kang, H, Arlinghaus, LR, Abramson, RG, Barnes, SL et al.. 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. J Med Imaging (Bellingham). 2018;5 (1):011011. doi: 10.1117/1.JMI.5.1.011011. PubMed PMID:29201942 PubMed Central PMC5701084.
  7. Brock, A, Huang, S. Precision Oncology: Between Vaguely Right and Precisely Wrong. Cancer Res. 2017;77 (23):6473-6479. doi: 10.1158/0008-5472.CAN-17-0448. PubMed PMID:29162615 .
  8. Rahman, MM, Feng, Y, Yankeelov, TE, Oden, JT. A fully coupled space-time multiscale modeling framework for predicting tumor growth. Comput Methods Appl Mech Eng. 2017;320 :261-286. doi: 10.1016/j.cma.2017.03.021. PubMed PMID:29158608 PubMed Central PMC5693401.
  9. Malyarenko, D, Fedorov, A, Bell, L, Prah, M, Hectors, S, Arlinghaus, L et al.. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. J Med Imaging (Bellingham). 2018;5 (1):011006. doi: 10.1117/1.JMI.5.1.011006. PubMed PMID:29134189 PubMed Central PMC5658654.
  10. Woodall, RT, Barnes, SL, Hormuth, DA 2nd, Sorace, AG, Quarles, CC, Yankeelov, TE et al.. The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains. Magn Reson Med. 2018;80 (1):330-340. doi: 10.1002/mrm.26995. PubMed PMID:29115690 PubMed Central PMC5876107.
  11. Newitt, DC, Malyarenko, D, Chenevert, TL, Quarles, CC, Bell, L, Fedorov, A et al.. Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. J Med Imaging (Bellingham). 2018;5 (1):011003. doi: 10.1117/1.JMI.5.1.011003. PubMed PMID:29021993 PubMed Central PMC5633866.
  12. Cardin, DB, Goff, LW, Chan, E, Whisenant, JG, Dan Ayers, G, Takebe, N et al.. Dual Src and EGFR inhibition in combination with gemcitabine in advanced pancreatic cancer: phase I results : A phase I clinical trial. Invest New Drugs. 2018;36 (3):442-450. doi: 10.1007/s10637-017-0519-z. PubMed PMID:28990119 PubMed Central PMC5891394.
  13. Hu, Z, Li, Y, Van Nieuwenhuijze, A, Selden, HJ, Jarrett, AM, Sorace, AG et al.. CCR7 Modulates the Generation of Thymic Regulatory T Cells by Altering the Composition of the Thymic Dendritic Cell Compartment. Cell Rep. 2017;21 (1):168-180. doi: 10.1016/j.celrep.2017.09.016. PubMed PMID:28978470 PubMed Central PMC5639943.
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  15. Sorace, AG, Harvey, S, Syed, A, Yankeelov, TE. Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting. Semin Oncol Nurs. 2017;33 (4):425-439. doi: 10.1016/j.soncn.2017.08.008. PubMed PMID:28927763 PubMed Central PMC5667646.
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  24. Fahrenholtz, SJ, Madankan, R, Danish, S, Hazle, JD, Stafford, RJ, Fuentes, D et al.. Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images. Int J Hyperthermia. 2018;34 (1):101-111. doi: 10.1080/02656736.2017.1319974. PubMed PMID:28540820 PubMed Central PMC6295207.
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2016
  1. Lima, EABF, Oden, JT, Hormuth, DA 2nd, Yankeelov, TE, Almeida, RC. Selection, calibration, and validation of models of tumor growth. Math Models Methods Appl Sci. 2016;26 (12):2341-2368. doi: 10.1142/S021820251650055X. PubMed PMID:28827890 PubMed Central PMC5560997.
  2. Kurland, BF, Aggarwal, S, Yankeelov, TE, Gerstner, ER, Mountz, JM, Linden, HM et al.. Accrual Patterns for Clinical Studies Involving Quantitative Imaging: Results of an NCI Quantitative Imaging Network (QIN) Survey. Tomography. 2016;2 (4):276-282. doi: 10.18383/j.tom.2016.00169. PubMed PMID:28127586 PubMed Central PMC5260812.
  3. Malyarenko, DI, Wilmes, LJ, Arlinghaus, LR, Jacobs, MA, Huang, W, Helmer, KG et al.. QIN DAWG Validation of Gradient Nonlinearity Bias Correction Workflow for Quantitative Diffusion-Weighted Imaging in Multicenter Trials. Tomography. 2016;2 (4):396-405. doi: 10.18383/j.tom.2016.00214. PubMed PMID:28105469 PubMed Central PMC5241082.
  4. Arlinghaus, LR, Dortch, RD, Whisenant, JG, Kang, H, Abramson, RG, Yankeelov, TE et al.. Quantitative Magnetization Transfer Imaging of the Breast at 3.0 T: Reproducibility in Healthy Volunteers. Tomography. 2016;2 (4):260-266. doi: 10.18383/j.tom.2016.00142. PubMed PMID:28090588 PubMed Central PMC5228602.
  5. Whisenant, JG, Dortch, RD, Grissom, W, Kang, H, Arlinghaus, LR, Yankeelov, TE et al.. Bloch-Siegert B1-Mapping Improves Accuracy and Precision of Longitudinal Relaxation Measurements in the Breast at 3 T. Tomography. 2016;2 (4):250-259. doi: 10.18383/j.tom.2016.00133. PubMed PMID:28044146 PubMed Central PMC5201175.
  6. Weis, JA, Miga, MI, Yankeelov, TE. Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy. Comput Methods Appl Mech Eng. 2017;314 :494-512. doi: 10.1016/j.cma.2016.08.024. PubMed PMID:28042181 PubMed Central PMC5193147.
  7. Madankan, R, Stefan, W, Fahrenholtz, SJ, MacLellan, CJ, Hazle, JD, Stafford, RJ et al.. Accelerated magnetic resonance thermometry in the presence of uncertainties. Phys Med Biol. 2017;62 (1):214-245. doi: 10.1088/1361-6560/62/1/214. PubMed PMID:27991449 .
  8. Williams, JM, Arlinghaus, LR, Rani, SD, Shone, MD, Abramson, VG, Pendyala, P et al.. Towards real-time topical detection and characterization of FDG dose infiltration prior to PET imaging. Eur. J. Nucl. Med. Mol. Imaging. 2016;43 (13):2374-2380. doi: 10.1007/s00259-016-3477-3. PubMed PMID:27557845 PubMed Central PMC5096989.
  9. O'Connor, JP, Aboagye, EO, Adams, JE, Aerts, HJ, Barrington, SF, Beer, AJ et al.. Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol. 2017;14 (3):169-186. doi: 10.1038/nrclinonc.2016.162. PubMed PMID:27725679 PubMed Central PMC5378302.
  10. Yankeelov, TE, Miga, MI. Introduction to the Special Section on Clinical Applications of Multi-Scale Modeling. Ann Biomed Eng. 2016;44 (9):2589-90. doi: 10.1007/s10439-016-1702-7. PubMed PMID:27491887 PubMed Central PMC4984394.
  11. Virostko, J, Hilmes, M, Eitel, K, Moore, DJ, Powers, AC. Use of the Electronic Medical Record to Assess Pancreas Size in Type 1 Diabetes. PLoS ONE. 2016;11 (7):e0158825. doi: 10.1371/journal.pone.0158825. PubMed PMID:27391588 PubMed Central PMC4938534.
  12. Yankeelov, TE, An, G, Saut, O, Luebeck, EG, Popel, AS, Ribba, B et al.. Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success. Ann Biomed Eng. 2016;44 (9):2626-41. doi: 10.1007/s10439-016-1691-6. PubMed PMID:27384942 PubMed Central PMC4983505.
  13. Tam, AL, Figueira, TA, Gagea, M, Ensor, JE, Dixon, K, McWatters, A et al.. Irreversible Electroporation in the Epidural Space of the Porcine Spine: Effects on Adjacent Structures. Radiology. 2016;281 (3):763-771. doi: 10.1148/radiol.2016152688. PubMed PMID:27266723 PubMed Central PMC5952366.
  14. Huang, W, Chen, Y, Fedorov, A, Li, X, Jajamovich, GH, Malyarenko, DI et al.. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge. Tomography. 2016;2 (1):56-66. doi: 10.18383/j.tom.2015.00184. PubMed PMID:27200418 PubMed Central PMC4869732.
  15. Chan, E, Arlinghaus, LR, Cardin, DB, Goff, L, Berlin, JD, Parikh, A et al.. Phase I trial of vorinostat added to chemoradiation with capecitabine in pancreatic cancer. Radiother Oncol. 2016;119 (2):312-8. doi: 10.1016/j.radonc.2016.04.013. PubMed PMID:27106554 PubMed Central PMC4961249.
  16. Sorace, AG, Quarles, CC, Whisenant, JG, Hanker, AB, McIntyre, JO, Sanchez, VM et al.. Trastuzumab improves tumor perfusion and vascular delivery of cytotoxic therapy in a murine model of HER2+ breast cancer: preliminary results. Breast Cancer Res. Treat. 2016;155 (2):273-84. doi: 10.1007/s10549-016-3680-8. PubMed PMID:26791520 PubMed Central PMC4833210.
  17. Yankeelov, TE, Mankoff, DA, Schwartz, LH, Lieberman, FS, Buatti, JM, Mountz, JM et al.. Quantitative Imaging in Cancer Clinical Trials. Clin. Cancer Res. 2016;22 (2):284-90. doi: 10.1158/1078-0432.CCR-14-3336. PubMed PMID:26773162 PubMed Central PMC4717912.
  18. Abramson, RG, Arlinghaus, LR, Dula, AN, Quarles, CC, Stokes, AM, Weis, JA et al.. MR Imaging Biomarkers in Oncology Clinical Trials. Magn Reson Imaging Clin N Am. 2016;24 (1):11-29. doi: 10.1016/j.mric.2015.08.002. PubMed PMID:26613873 PubMed Central PMC4667554.
  19. Malyarenko, DI, Newitt, D, J Wilmes, L, Tudorica, A, Helmer, KG, Arlinghaus, LR et al.. Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials. Magn Reson Med. 2016;75 (3):1312-23. doi: 10.1002/mrm.25754. PubMed PMID:25940607 PubMed Central PMC4630210.