Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression

Cancer Research

Volumn 73, Issue 10, 2013, Pages 2976-2986

  Neal, Maxwell Lewis ^a   Trister, Andrew D ^b,e   Ahn, Sunyoung ^a   Baldock, Anne ^a,f   Bridge, Carly A ^a,f   Guyman, Laura ^a,f   Lange, Jordan ^a   Sodt, Rita ^a   Cloke, Tyler ^a   Lai, Albert ^g   Cloughesy, Timothy F ^g   Mrugala, Maciej M ^c   Rockhill, Jason K ^b   Rockne, Russell C ^a,d,f   Swanson, Kristin R ^a,d,f  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Radiation Oncology   (United States)

^c Departments of Neurological Surgery   (United States)

^d Departments of Applied Mathematics   (United States)

^e SAGE BIONETWORKS   (United States)

^f NORTHWESTERN UNIVERSITY   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CANCER CLASSIFICATION; CANCER GROWTH; CANCER PROGNOSIS; CANCER RECURRENCE; CANCER SURVIVAL; DISEASE COURSE; FEMALE; GLIOBLASTOMA; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; OVERALL SURVIVAL; PRIORITY JOURNAL; PROGRESSION FREE SURVIVAL; PSEUDOPROGRESSION; SCORING SYSTEM;

ADULT; AGED; AGED, 80 AND OVER; BRAIN NEOPLASMS; DISEASE PROGRESSION; FEMALE; GLIOBLASTOMA; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; PROGNOSIS; PROPORTIONAL HAZARDS MODELS;

EID: 84877859124     PISSN: 00085472     EISSN: 15387445     Source Type: Journal    
DOI: 10.1158/0008-5472.CAN-12-3588     Document Type: Article

References (35)

1. Stupp R, Hegi ME, Mason WP, van den Bent MJ, Taphoorn MJ, Janzer RC, et al. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial. Lancet Oncol 2009;10:459-66.
2. Brandsma D, van den Bent MJ. Pseudoprogression and pseudoresponse in the treatment of gliomas. Curr Opin Neurol 2009;22:633-8.
3. Fink J, Born D, Chamberlain MC. Pseudoprogression: Relevance with respect to treatment of high-grade gliomas. Curr Treat Options Oncol 2011;12:240-52.
4. Taal W, Brandsma D, de Bruin HG, Bromberg JE, Swaak-Kragten AT, Smitt PA, et al. Incidence of early pseudo-progression in a cohort of malignant glioma patients treated with chemoirradiation with temozolomide. Cancer 2008;113:405-10.
5. Macdonald DR, Cascino TL, Schold SC, Cairncross JG. Response criteria for phase II studies of supratentorial malignant glioma. J Clin Oncol 1990;8:1277.
6. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1). Eur J Cancer 2009;45:228-47.
7. Wen PY, Macdonald DR, Reardon DA, Cloughesy TF, Sorensen AG, Galanis E, et al. Updated response assessment criteria for high-grade gliomas: Response assessment in neuro-oncology working group. J Clin Oncol 2010;28:1963-72.
8. Neal ML, Trister AD, Cloke T, Sodt R, Ahn S, Baldock AL, et al. Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric. PLoS One 2013;8:e51951.
9. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307-10. (Pubitemid 16134762)
10. Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc 1958;53:457-81.
11. Bohman LE, Swanson KR, Moore JL, Rockne R, Mandigo C, Hankinson T, et al. MRI characteristics of glioblastoma multiforme: Implications for understanding glioma ontogeny. Neurosurgery 2010;67: 1319-28.
12. Swanson KR, Alvord EC Jr, Murray JD. A quantitative model for differential motility of gliomas in grey and white matter. Cell Prolif 2000;33:317-29.
13. Gu S, Chakraborty G, Champley K, Alessio AM, Claridge J, Rockne R, et al. Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO PET images. Math Med Biol 2012;29:31-48.
14. Harpold HL, Alvord EC Jr, Swanson KR. The evolution of mathematical modeling of glioma proliferation and invasion. J Neuropathol Exp Neurol 2007;66:1-9. (Pubitemid 46066783)
15. Rockne R, Rockhill JK, Mrugala M, SpenceAM, Kalet I, Hendrickson K, et al. Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: A mathematical modeling approach. Phys Med Biol 2010;55:3271-85.
16. Swanson KR. Mathematical modeling of the growth and control of tumors [dissertation]. Seattle (WA): University of Washington; 1999.
17. Swanson KR, Alvord EC Jr. Serial imaging observations and postmortem examination of an untreated glioblastoma: A traveling wave of glioma growth and invasion. Neuro-oncol 2002;4:340.
18. Swanson KR, Harpold HL, Peacock DL, Rockne R, Pennington C, Kilbride L, et al. Velocity of radial expansion of contrast-enhancing gliomas and the effectiveness of radiotherapy in individual patients: A proof of principle. Clin Oncol 2008;20:301-8. (Pubitemid 351455196)
19. Swanson KR, Rockne R, Rockhill J, Alvord EC Jr. Combining mathematical modeling with serial MR imaging to quantify and predict response to radiation therapy in individual glioma patients. Neuro Oncol 2007;9:575.
20. Szeto MD, Chakraborty G, Hadley J, Rockne R, Muzi M, Alvord EC, et al. Quantitative metrics of net proliferation and invasion link biological aggressiveness assessed by MRI with hypoxia assessed by FMISO-PET in newly diagnosed glioblastomas. Cancer Res 2009;69: 4502-9.
21. WangCH, Rockhill JK, Mrugala M, Peacock DL, Lai A, Jusenius K, et al. Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model. Cancer Res 2009;69:9133-40.
22. Friston KJ, Ashburner JT, Kiebel S, Nichols T, Penny WD, editors. Statistical parametric mapping: The analysis of functional brain images. London: Elsevier; 2007.
23. Mandonnet E, Delattre JY, Tanguy ML, Swanson KR, Carpentier AF, Duffau H, et al. Continuous growth of mean tumor diameter in a subset of grade II gliomas. Ann Neurol 2003;53:524-8. (Pubitemid 36373265)
24. Neal ML, Rockne R, Trister AD, Swanson KR. Predicting outcomes following therapy for glioblastoma using response metrics from patient-specific 3-dimensional tumor models. Neuro-oncol 2011;13: Iii76-84.
25. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 2012;9:671-5.
26. Rosset A, Spadola L, Ratib O. OsiriX: An open-source software for navigating in multidimensional DICOM images. J Digit Imaging 2004;17:205-16. (Pubitemid 40378992)
27. McAuliffe MJ, Lalonde FM, McGarry D, Gandler W, Csaky K, Trus BL. Medical image processing, analysis & visualization in clinical research. In: Proceedings of the 14th IEEE Symposium on Computer-based Medical Systems (CBMS); 2001; Bethesda (MD): Center for Information and Technology, NIH; 2001. p. 381-6.
28. Efron B, Tibshirani RJ. An introduction to the bootstrap. Boca Raton (FL): Chapman & Hall/CRC; 1994.
29. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez JC, et al. pROC: An open-source package for R and S+to analyze and compare ROC curves. BMC Bioinformatics 2011;12:77.
30. Hanley JA. The robustness of the "binormal" assumptions used in fitting ROC curves. Med Decis Making 1988;8:197-203.
31. Neal ML, Kerckhoffs RC. Current progress in patient-specific modeling. Brief Bioinform 2010;11:111-26.
32. Neal ML. Patient-specific modeling for critical care. In:Kerckhoffs RCP, editor. Patient-specific modeling of the cardiovascular system. New York: Springer; 2010. p. 81-94.
33. Rockne R, Alvord EC, Rockhill JK, Swanson KR.Amathematical model for brain tumor response to radiation therapy. J Math Biol 2009;58: 561-78.
34. Stupp R, Dietrich PY, Ostermann Kraljevic S, Pica A, Maillard I, Maeder P, et al. Promising survival for patients with newly diagnosed glioblastoma multiforme treated with concomitant radiation plus temozolomide followed by adjuvant temozolomide. J Clin Oncol 2002;20: 1375-82. (Pubitemid 34177445)
35. da Cruz LCH Jr, Rodriguez I, Domingues RC, Gasparetto EL, Sorensen AG. Pseudoprogression and pseudoresponse: Imaging challenges in the assessment of posttreatment glioma. Am J Neuroradiol 2011;32: 1978-85.