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Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression.
Neal ML, Trister AD, Ahn S, Baldock A, Bridge CA, Guyman L, Lange J, Sodt R, Cloke T, Lai A, Cloughesy TF, Mrugala MM, Rockhill JK, Rockne RC, Swanson KR. Neal ML, et al. Among authors: swanson kr. Cancer Res. 2013 May 15;73(10):2976-86. doi: 10.1158/0008-5472.CAN-12-3588. Epub 2013 Feb 11. Cancer Res. 2013. PMID: 23400596 Free PMC article.
Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model.
Wang CH, Rockhill JK, Mrugala M, Peacock DL, Lai A, Jusenius K, Wardlaw JM, Cloughesy T, Spence AM, Rockne R, Alvord EC Jr, Swanson KR. Wang CH, et al. Among authors: swanson kr. Cancer Res. 2009 Dec 1;69(23):9133-40. doi: 10.1158/0008-5472.CAN-08-3863. Epub 2009 Nov 24. Cancer Res. 2009. PMID: 19934335 Free PMC article.
Quantitative metrics of net proliferation and invasion link biological aggressiveness assessed by MRI with hypoxia assessed by FMISO-PET in newly diagnosed glioblastomas.
Szeto MD, Chakraborty G, Hadley J, Rockne R, Muzi M, Alvord EC Jr, Krohn KA, Spence AM, Swanson KR. Szeto MD, et al. Among authors: swanson kr. Cancer Res. 2009 May 15;69(10):4502-9. doi: 10.1158/0008-5472.CAN-08-3884. Epub 2009 Apr 14. Cancer Res. 2009. PMID: 19366800 Free PMC article.
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