Characterizing tumor heterogeneity with functional imaging and quantifying high-risk tumor volume for early prediction of treatment outcome: Cervical cancer as a model

International Journal of Radiation Oncology Biology Physics

Volumn 83, Issue 3, 2012, Pages 972-979

  Mayr, Nina A ^a   Huang, Zhibin ^b   Wang, Jian Z ^a   Lo, Simon S ^c   Fan, Joline M ^d   Grecula, John C ^a   Sammet, Steffen ^e,f   Sammet, Christina L ^e   Jia, Guang ^f   Zhang, Jun ^f   Knopp, Michael V ^f   Yuh, William T C ^f  

^a OHIO STATE UNIVERSITY   (United States)

^b EAST CAROLINA UNIVERSITY   (United States)

^c CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d STANFORD UNIVERSITY   (United States)

^e UNIVERSITY OF CHICAGO   (United States)

^f OHIO STATE UNIVERSITY   (United States)

Author keywords

Anatomic tumor volume; Cervical cancer; Dynamic contrast enhanced (DCE) MRI; Functional tumor imaging; Magnetic resonance imaging (MRI); Tumor heterogeneity

Indexed keywords

CERVICAL CANCERS; DYNAMIC CONTRAST ENHANCED; FUNCTIONAL TUMORS; TUMOR HETEROGENEITY; TUMOR VOLUMES;

DISEASE CONTROL; FORECASTING; MAGNETIC RESONANCE IMAGING;

TUMORS;

CISPLATIN;

ADULT; AGED; ARTICLE; CANCER CHEMOTHERAPY; CANCER RADIOTHERAPY; CONTRAST ENHANCEMENT; FEMALE; FOLLOW UP; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MAJOR CLINICAL STUDY; PREDICTION; PRIORITY JOURNAL; TREATMENT OUTCOME; TUMOR VOLUME; UTERINE CERVIX CANCER;

ADULT; AGED; AGED, 80 AND OVER; CONTRAST MEDIA; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEOPLASM STAGING; REGIONAL BLOOD FLOW; ROC CURVE; STATISTICS, NONPARAMETRIC; TREATMENT OUTCOME; TUMOR BURDEN; TUMOR MICROENVIRONMENT; UTERINE CERVICAL NEOPLASMS;

EID: 84861625370     PISSN: 03603016     EISSN: 1879355X     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2011.08.011     Document Type: Article

References (40)

1. P.J. Eifel Problems with the clinical staging of carcinoma of the cervix Semin Radiat Oncol 4 1994 1 8
2. P.J. Eifel, M. Morris, and J.T. Wharton The influence of tumor size and morphology on the outcome of patients with FIGO stage IB squamous cell carcinoma of the uterine cervix Int J Radiat Oncol Biol Phys 29 1994 9 16
3. H. Lyng, A.O. Vorren, and K. Sundfor Intra- and intertumor heterogeneity in blood perfusion of human cervical cancer before treatment and after radiotherapy Int J Cancer 96 2001 182 190
4. International Agency for Research on Cancer, World Health Organization. Globocan 2008. Cervical cancer incidence and mortality worldwide in 2008. Summary. Available at: http://globocan.iarc.fr/factsheets/cancers/cervix. asp#MORTALITY.
5. American Cancer Society. Global cancer facts and figures 2007. Available at: http://www.cancer.org/downloads/STT/Global-Cancer-Facts-and-Figures-2007- rev.pdf 2007.
6. P.J. Eifel, K. Winter, and M. Morris Pelvic irradiation with concurrent chemotherapy versus pelvic and para-aortic irradiation for high-risk cervical cancer: An update of radiation therapy oncology group trial (RTOG) 90-01 J Clin Oncol 22 2004 872 880
7. M.A. Torres, A. Jhingran, and H.D. Thames Jr. Comparison of treatment tolerance and outcomes in patients with cervical cancer treated with concurrent chemoradiotherapy in a prospective randomized trial or with standard treatment Int J Radiat Oncol Biol Phys 70 1 2008 118 125
8. Chemoradiotherapy for Cervical Cancer Meta-analysis Collaboration Reducing uncertainties about the effects of chemoradiotherapy for cervical cancer: Individual patient data meta-analysis J Clin Oncol 26 2008 5802 5812
9. WHO handbook for reporting results of cancer treatment, Publication Number 48 1979 World Health Organization Geneva Available at: http://whqlibdoc.who.int.publications/9241700483.pdf
10. K. James, E. Eisenhauer, and M. Christian Measuring response in solid tumors: Unidimensional versus bidimensional measurement J Natl Cancer Inst 91 1999 523 528
11. E. Kastritis, A. Bamias, and E. Efstathiou The outcome of advanced or recurrent non-squamous carcinoma of the uterine cervix after platinum-based combination chemotherapy Gynecol Oncol 99 2005 376 382
12. D.M. Brizel, G.L. Rosner, and L.R. Prosnitz Patterns and variability of tumor oxygenation in human soft tissue sarcomas, cervical carcinomas and lymph node metastases Int J Radiat Oncol Biol Phys 32 1995 1121 1125
13. M.I. Koukourakis, A. Giatromanolaki, and E. Sivridis Cancer vascularization: Implications in radiotherapy? Int J Rad Oncol Biol Phys 48 2000 545 553
14. A. Pugachev, S. Ruan, and S. Carlin Dependence of FDG uptake on tumor microenvironment Int J Radiat Oncol Biol Phys 62 2005 545 553
15. B. Bachtiary, P.C. Boutros, and M. Pintilie Gene expression profiling in cervical cancer: An exploration of intratumor heterogeneity Clin Cancer Res 12 2006 5632 5640
16. R.A. Britten, A.J. Evans, and M.J. Allalunis-Turner Intratumoral heterogeneity as a confounding factor in clonogenic assays for tumour radioresponsiveness Radiother Oncol 39 1996 145 153
17. F.C. Galmarini, C.M. Galmarini, and M.I. Sarchi Heterogeneous distribution of tumor blood supply affects the response to chemotherapy in patients with head and neck cancer Microcirculation 7 2000 405 410
18. M. Höckel, K. Schlenger, and M. Mitze Hypoxia and radiation response in human tumors Semin Radiat Oncol 6 1996 3 9
19. J. Dunst, T. Kuhnt, and H.G. Strauss Anemia in cervical cancers: impact on survival, patterns of relapse, and association with hypoxia and angiogenesis Int J Radiat Oncol Biol Phys 56 2003 778 787
20. P. Vaupel Oxygenation of solid tumors B.A. Teicher, Drug resistance in oncology 1993 Marcel Dekker New York 53 85
21. E. Latargau, and H.L.M. Randranarivelo Oxygen tension measurements in human tumors: The Institute Gustave-Roussy experience Radiat Oncol Invest 1 1994 285 291
22. R.C. Urtasun, J.D. Chapman, and R. JA Binding of H-3-misonidazole to solid human tumors as a measure of tumor hypoxia Int J Radiat Oncol Biol Phys 12 1986 1263 1267
23. R.C. Brash, K.C. Li, and J.E. Husband In vivo monitoring of tumor angiogenesis with MR imaging Acad Radiol 7 2000 812 823
24. N.A. Mayr, H. Hawighorst, and W.T.C. Yuh MR microcirculation in cervical cancer: Correlations with histomorphological tumor markers and clinical outcome J Magn Reson Imaging 10 1999 267 276
25. G. Brix, K. Rempp, and F. Guckel Quantitative assessment of tissue microcirculation by dynamic contrast-enhanced MR imaging Adv MRI Contrast 2 1994 68 77
26. M. Neeman, and H. Dafni Structural, functional, and molecular MR imaging of the microvasculature Ann Rev Biomed Eng 5 2003 29 56
27. K.H. Link, G. Leder, and J. Pillasch In vitro concentration response studies and in vitro Phase II tests as the experimental basis for regional chemotherapeutic protocols Semin Surg Oncol 14 1998 189 201
28. A.I. Minchinton, and I.F. Tannock Drug penetration in solid tumours Nat Rev Cancer 6 2006 583 592
29. C. Ellingsen, I. Natvig, and J.V. Gaustad Human cervical carcinoma xenograft models for studies of the physiological microenvironment of tumors J Cancer Res Clin Oncol 135 2009 1177 1184
30. W.T.C. Yuh An exciting and challenging role for the advanced contrast MR imaging J Magn Reson Imaging 10 1999 221 222
31. W.T.C. Yuh, N.A. Mayr, and D. Jarjoura Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer Invest Radiol 44 2009 343 350
32. N.A. Mayr, W.T.C. Yuh, and V.A. Magnotta Tumor perfusion studies using fast magnetic resonance imaging technique in advanced cervical cancer - A new noninvasive predictive assay Int J Radiat Oncol Biol Phys 36 1996 623 633
33. Q.Y. Gong, J.N. Brunt, and C.S. Romaniuk Contrast enhanced dynamic MRI of cervical carcinoma during radiotherapy: Early prediction of tumour regression rate Br J Radiol 72 1999 1177 1184
34. J.A. Loncaster, B.M. Carrington, and J.R. Sykes Prediction of radiotherapy outcome using dynamic contrast enhanced MRI of carcinoma of the cervix Int J Rad Oncol Biol Phys 54 2002 759 767
35. Y. Yamashita, T. Baba, and Y. Baba Dynamic contrast-enhanced MR imaging of uterine cervical cancer: Pharmacokinetic analysis with histopathologic correlation and its importance in predicting the outcome of radiation therapy Radiology 216 2000 803 809
36. N.A. Mayr, W.T.C. Yuh, and J.C. Arnholt Pixel analysis of MR perfusion imaging in predicting radiation therapy outcome in cervical cancer J Magn Reson Imaging 12 2000 1027 1033
37. M.A. Zahra, L.T. Tan, and A.N. Priest Semiquantitative and quantitative dynamic contrast-enhanced magnetic resonance imaging measurements predict radiation response in cervix cancer Int J Radiat Oncol Biol Phys 74 2009 766 773
38. N.A. Mayr, W.T.C. Yuh, and D. Jajoura Ultra-early predictive assay for treatment failure using functional magnetic resonance imaging and clinical prognostic parameters in cervical cancer Cancer 116 2010 903 912
39. N. Weidner Tumoral vascularity as a prognostic factor in cancer patients: The evidence continues to grow J Pathol 184 1998 119 122
40. J.A. Green, J.M. Kirwan, and J.F. Tierney Survival and recurrence after concomitant chemotherapy and radiotherapy for cancer of the uterine cervix: A systematic review and meta-analysis Lancet 358 2001 781 786