Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-09T16:07:54.523Z Has data issue: false hasContentIssue false

Chapter 21 - Adult neoplasia

overview

from Section 3 - Adult neoplasia

Published online by Cambridge University Press:  05 March 2013

Jonathan H. Gillard
Affiliation:
University of Cambridge
Adam D. Waldman
Affiliation:
Imperial College London
Peter B. Barker
Affiliation:
The Johns Hopkins University School of Medicine
Get access

Summary

Brain tumor incidence and outcome

Malignant gliomas, including the anaplastic astrocytoma and glioblastoma multiforme, are the most common primary brain tumors, occurring at a rate of approximately 6.08/100 000 individuals annually within the USA, an annual incidence of 17 500 cases.[1] Current treatment options include surgery, radiation therapy, and chemotherapy. Unfortunately, prognosis remains extremely poor and the median survival of 12 months for glioblastoma multiforme has not changed appreciably since the 1980s.[2] Limitations to therapy include both the infiltrative nature and the prominent angiogenesis of anaplastic astrocytoma and glioblastoma multiforme.

Pathological patterns of infiltration of peritumoral brain

Gliomas in general, and gliomas that are more anaplastic in particular, infiltrate and spread great distances in the brain.[3,4] Regional infiltration during tumor progression has been most strikingly shown in the whole-mount studies of Scherer and Burger,[5–7] where glioblastomas have a central area of necrosis, a highly vascularized cellular rim of tumor, and a peripheral zone of infiltrating cells. Infiltration occurs along white matter tracts, around nerve cells, beneath the pia, and, prominently, along angiogenic blood vessels. Studies have shown that tumor cells have migrated from the primary site of malignant gliomas, resulting in the almost inevitable local recurrence and tumor progression seen clinically.[8,9] Recurrence of human gliomas following surgery and radiation is most commonly seen in the margin adjacent to the initial tumor, where leaking tumor neovasculature is permeable to imaging contrast agents, but may also be remote.[10,11] Angiogenesis is quantitatively most prominent in glioblastoma compared with malignancies elsewhere in the body,[12] and the patterns of growth of invading glioma and angio/vasculogenesis suggest that these processes are fundamentally related.

Type
Chapter
Information
Clinical MR Neuroimaging
Physiological and Functional Techniques
, pp. 289 - 294
Publisher: Cambridge University Press
Print publication year: 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Central Brain Tumor Registry of the USA. Standard Statistical Report. Washington, DC: Central Brain Tumor Registry, 1999, p. 23.Google Scholar
Walker, MD, Green, SB, Byar, DP, et al. Randomized comparisons of radiotherapy and nitrosoureas for the treatment of malignant glioma after surgery. N Engl J Med 1980; 303: 1323–1329.CrossRefGoogle ScholarPubMed
Mikkelsen, T, Edvardsen, K.Invasiveness in nervous system tumors. In Cancer of the Nervous System, eds. Black, P, Loeffler, JS.Cambridge, MA: Blackwell Scientific, 1995.Google Scholar
Mikkelsen, T, Rosenblum, ML.Tumor invasiveness. In The Gliomas, 2nd edn, eds. Berger, MS, Wilson, CB. Cambridge, MA: Saunders, 1999.Google Scholar
Scherer, HJThe forms of growth in gliomas and their practical significance. Brain 1940; 63: 1–35.CrossRefGoogle Scholar
Giangaspero, F, Burger, PC.Correlations between cytologic composition and biologic behavior in the glioblastoma multiforme: a postmortem study of 50 cases. Cancer 1983; 52: 2320–2333.3.0.CO;2-N>CrossRefGoogle ScholarPubMed
Burger, PC, Kleihues, P.Cytologic composition of the untreated glioblastoma with implications for evaluation and needle biopsies. Cancer 1989; 63: 2014–2023.3.0.CO;2-L>CrossRefGoogle ScholarPubMed
Burger, PC, Dubois, PJ, Schold, SC, et al. Computerized tomographic and pathologic studies of the untreated, quiescent, and recurrent glioblastoma multiforme. J Neurosurg 1983; 58: 159–169.CrossRefGoogle ScholarPubMed
Daumas-Duport, C, Scheithauer, BW, Kelly, PJ.A histologic and cytologic method for the spatial definition of gliomas. Mayo Clin Proc 1987; 62: 435–449.CrossRefGoogle ScholarPubMed
Bashir, R, Hochberg, F, Oot, R.Regrowth patterns of glioblastoma multiforme related to planning of interstitial brachytherapy radiation fields. Neurosurgery 1988; 23: 27–30.CrossRefGoogle ScholarPubMed
Hochberg, FH, Pruitt, A.Assumptions in the radiotherapy of glioblastoma. Neurology 1980; 30: 907–911.CrossRefGoogle ScholarPubMed
Brem, S, Cotran, R, Folkman, J.Tumor angiogenesis: a quantitative method for histologic grading. J Natl Cancer Inst 1972; 48: 335–347.Google ScholarPubMed
Carmeliet, PMechanisms of angiogenesis and arteriogenesis. Nat Med 2000; 4: 389–395.CrossRefGoogle Scholar
Folkman, JWhat is the evidence that tumors are angiogenesis dependent?J Natl Cancer Inst 1990; 82: 4–6.CrossRefGoogle ScholarPubMed
Folkman, JAngiogenesis inhibitors generated by tumors. Mol Med 1995; 1: 120–122.Google ScholarPubMed
Klagsburn, MThe fibroblast growth factor family: structural and biological properties. Prog Growth Factor Res 1989; 1: 207–235.CrossRefGoogle Scholar
Koch, AE, Polverini, PF, Kunkel, SL, et al. Interleukin-8 as a macrophage-derived mediator of angiogenesis. Science 1992; 258: 1798–1801.CrossRefGoogle ScholarPubMed
Brower, V.Tumor angiogenesis: new drugs on the block. Nat Biotechnol 2000; 17: 963–968.CrossRefGoogle Scholar
MacDonald, DR, Cascino, TL, Schold, SC, Cairncross, JG.Response criteria for phase I studies of supratentorial malignant glioma. J Clin Oncol 1990; 8: 1277–1280.CrossRefGoogle ScholarPubMed
Clarke, LP, Velthuizen, RP, Clark, M, et al. MRI measurement of brain tumor response: comparison of visual metric and automatic segmentation. Magn Reson Imaging 1998; 16: 271–279.CrossRefGoogle ScholarPubMed
Vaidyanathan, M, Clarke, LP, Hall, LO, et al. Monitoring brain tumor response to therapy using MRI segmentation. Magn Reson Imaging 1997; 15: 323–334.CrossRefGoogle ScholarPubMed
Velthuizen, RP, Hall, LO, Clarke, LP.Feature extraction for MRI segmentation. J Neuroimaging 1999; 9: 85–90.CrossRefGoogle ScholarPubMed
Prentice, RLSurrogate endpoints in clinical trials: definition and operational criteria. Stat Med 1989; 8: 431–440.CrossRefGoogle ScholarPubMed
Herbst, RS, Mullani, NA, Davis, DW, et al. Development of biologic markers of response and assessment of antiangiogenic activity in a clinical trial of human recombinant endostatin. J Clin Oncol 2002; 20: 3804–3814.CrossRefGoogle Scholar
Jain, RK.Normalizing tumor vasculature with anti-angiogenic therapy: a new paradigm for combination therapy. Nat Med 2001; 7: 987–989.CrossRefGoogle ScholarPubMed
Gossmann, A, Helbich, TH, Kuriyama, N, et al. Dynamic contrast-enhanced magnetic resonance imaging as a surrogate marker of tumor response to anti-angiogenic therapy in a xenograft model of glioblastoma multiforme. J Magn Reson Imaging 2002; 15: 233–240.CrossRefGoogle Scholar
Barentsz, JO, Engelbrecht, M, Jäger, GJ, et al. Fast dynamic gadolinium enhanced MR imaging of urinary bladder and prostate cancer. J Magn Reson Imaging 1999; 10: 295–304.3.0.CO;2-Z>CrossRefGoogle ScholarPubMed
Hawighorst, H, Libicher, M, Knopp, MV, et al. Evaluation of angiogenesis and perfusion of bone marrow lesions: role of semiquantitative and quantitative dynamic MRI. J Magn Reson Imaging 1999; 10: 286–294.3.0.CO;2-N>CrossRefGoogle ScholarPubMed
Knopp, MV, Weiss, E, Sinn, HP, et al. MR microcirculation assessment in cervical cancer: correlations with histomorphological tumor markers and clinical outcome. J Magn Reson Imaging 1999; 10: 267–276.Google Scholar
Mayr, NA, Hawighorst, H, Yuh, WT, et al. MR microcirculation assessment in cervical cancer: correlations with histomorphological tumor markers and clinical outcome. J Magn Reson Imaging 1999; 10: 267–276.3.0.CO;2-Y>CrossRefGoogle ScholarPubMed
Beauregard, DA, Hill, SA, Chaplin, DJ, Brindle, KM.The susceptibility of tumors to the antivascular drug combretastatin A4 phosphate correlates with vascular permeability. Cancer Res 2001; 61: 6811–6815.Google ScholarPubMed
Wong, ET, Jackson, EF, Hess, KR, et al. Correlation between dynamic MRI and outcome in patients with malignant gliomas. Neurology 1998; 50: 777–781.CrossRefGoogle ScholarPubMed
Cha, S, Knopp, EA, Johnson, G, et al. Dynamic contrast-enhanced T2-weighted MR imaging of recurrent malignant gliomas treated with thalidomide and carboplatin. AJNR Am J Neuroradiol 2000; 21: 881–890.Google ScholarPubMed
Croteau, D, Scarpace, L, Hearshen, D, et al. Correlation between magnetic resonance spectroscopy imaging and image-guided biopsies: semi-quantitative and qualitative histo-pathologic analysis of patients with untreated glioma. Neurosurgery 2001; 49: 823–829.Google Scholar
Oshiro, S, Tsugu, H, Komatsu, F, et al. Quantitative assessment of gliomas by proton magnetic resonance spectroscopy. Anticancer Res 2007; 27: 3757–3763Google ScholarPubMed
Keles, GE, Lamborn, KR, Berger, MS.Low-grade hemispheric gliomas in adults: a critical review of extent of resection as a factor influencing outcome. J Neurosurg 2001; 95: 735–745.CrossRefGoogle ScholarPubMed
Nafe, R, Glienke, W, Hattingen, E, et al. Correlation between amplification of the gene for the epidermal growth factor receptor (EGFR), data from preoperative proton-MR-spectroscopy (1HMRS) and histomorphometric data of glioblastomas. Anal Quant Cytol Histol 2007; 29: 199–207.Google ScholarPubMed
Park, I, Tamai, G, Lee, MC, et al. Patterns of recurrence analysis in newly diagnosed glioblastoma multiforme after three-dimensional conformal radiation therapy with respect to pre-radiation therapy magnetic resonance spectroscopic findingsInt J Radiat Oncol Biol Phys 2007; 69: 381–389.CrossRefGoogle ScholarPubMed
Laprie, A, Catalaa, I, Cassol, E, et al. Proton magnetic resonance spectroscopic imaging in newly diagnosed glioblastoma: predictive value for the site of postradiotherapy relapse in a prospective longitudinal study. Int J Radiat Oncol Biol Phys 2008; 70: 773–781.CrossRefGoogle Scholar
Preul, MC, Carmanos, Z, Collins, DL, et al. Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy. Nat Med 1996; 2: 323–325.CrossRefGoogle ScholarPubMed
Tedeschi, G, Lundbom, N, Raman, R, et al. Increased choline signal coinciding with malignant degeneration of cerebral gliomas: a serial proton magnetic resonance spectroscopy imaging study. J Neurosurg 1997; 87: 516–524.CrossRefGoogle ScholarPubMed
Rock, J, Scarpace, L, Hearshen, D, et al. Correlations between magnetic resonance spectroscopy and image-guided histopathology with special attention to radiation necrosis. Neurosurgery 2002; 51: 1–9.Google ScholarPubMed
Zeng, QS, Li, CF, Zhang, K, et al. Multivoxel 3D proton MR spectroscopy in the distinction of recurrent glioma from radiation injury. J Neurooncol 2007; 84: 63–69.CrossRefGoogle ScholarPubMed
Zeng, QS, Li, CF, Liu, H, Zhen, JH, Feng, DC.Distinction between recurrent glioma and radiation injury using magnetic resonance spectroscopy in combination with diffusion-weighted imaging. Int J Radiat Oncol Biol Phys 2007; 68: 151–158.CrossRefGoogle ScholarPubMed
Dowling, CB, Noworolski, AW, McDermott, SM, et al. Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens. AJNR AM J Neuroradiol 2001; 22: 604–612.Google ScholarPubMed
Chenevert, TL, Stegman, LD, Taylor, JMG, et al. Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. J Natl Cancer Inst 2000; 92: 2029–2036.CrossRefGoogle ScholarPubMed
Hamstra, DA, Rehemtulla, A, Ross, BD. Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol 2007; 25: 4104–4109.CrossRefGoogle Scholar
Sijens, PE, Heesters, MA, Enting, RH, et al. Diffusion tensor imaging and chemical shift imaging assessment of heterogeneity in low grade glioma under temozolomide chemotherapy. Cancer Invest 2007; 25: 706–710.CrossRefGoogle ScholarPubMed
Hamstra, DA, Galban, CJ, Meyer, CR, et al. Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 2008; 26: 3387–3394.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×