Clinical Radiology
Volume 65, Issue 7 , Pages 549-556 , July 2010

Molecular imaging with dynamic contrast-enhanced computed tomography

  • K.A. Miles

      Affiliations

    • Corresponding Author InformationK. A. Miles, Clinical Imaging Sciences Centre, Brighton & Sussex Medical School, University of Sussex, Falmer, Brighton BN1 9PX, UK. Tel.: +44 1273 877574; fax: +44 1273 877576.

Received 24 December 2009 ,Revised 15 April 2010 ,Accepted 22 April 2010.

References 

  1. Cenic A, Nabavi DG, Craen RA, et al. Dynamic CT measurement of cerebral blood flow: a validation study. AJNR Am J Neuroradiol. 1999;20:63–73
  2. Cenic A, Nabavi DG, Craen RA, et al. A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. AJNR Am J Neuroradiol. 2000;21:462–470
  3. Hattori H, Miyoshi T, Okada J, et al. Tumor blood flow measured using dynamic computed tomography. Invest Radiol. 1994;29:873–876
  4. Gillard JH, Minhas PS, Hayball MP, et al. Assessment of quantitative computed tomographic cerebral perfusion imaging with H2(15)O positron emission tomography. Neurol Res. 2000;22:457–464
  5. Wintermark M, Thiran JP, Maeder P, et al. Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: a validation study. AJNR Am J Neuroradiol. 2001;22:905–914
  6. Nabavi DG, Cenic A, Dool J, et al. Quantitative assessment of cerebral hemodynamics using CT: stability, accuracy, and precision studies in dogs. J Comput Assist Tomogr. 1999;23:506–515
  7. Gillard JH, Antoun NM, Burnet NG, et al. Reproducibility of quantitative CT perfusion imaging. Br J Radiol. 2001;74:552–555
  8. Pollard RE, Garcia TC, Stieger SM, et al. Quantitative evaluation of perfusion and permeability of peripheral tumours using contrast-enhanced computed tomography. Invest Radiol. 2004;39:340–349
  9. Ng CS, Kodama Y, Mullani NA, et al. Tumor blood flow measured by perfusion computed tomography and 15O-labeled water positron emission tomography: a comparison study. J Comput Assist Tomogr. 2009;33:460–465
  10. Kamath A, Smith WS, Powers WJ, et-al. Perfusion CT compared to H(2)(15)O/O (15)O PET in patients with chronic cervical carotid artery occlusion. Neuroradiology 2008;50:745–751.
  11. Miles KA, Griffiths MR, Perfusion CT. a worthwhile enhancement?. Br J Radiol. 2003;76:220–231
  12. Miles KA. Perfusion CT for the assessment of tumour vascularity: which protocol?. Br J Radiol. 2003;76:S36–S42
  13. Petralia G, Bonello L, Viotti S, et al. CT perfusion in oncology: how to do it. Cancer Imaging. 2010;10:8–19
  14. Youn SW, Kim JH, Weon YC, et al. Perfusion CT of the brain using 40-mm-wide detector and toggling table technique for initial imaging of acute stroke. AJR Am J Roentgenol. 2008;191:W120–W126
  15. Blasberg RG, Gelovani J. Molecular-genetic imaging: a nuclear medicine-based perspective. Mol Imaging. 2002;1:280–300
  16. Hemphill JC, Smith WS, Sonne DC, et al. Relationship between brain tissue oxygen tension and CT perfusion: feasibility and initial results. AJNR Am J Neuroradiol. 2005;26:1095–1100
  17. Haider MA, Milosevic M, Fyles A, et al. Assessment of the tumor microenvironment in cervix cancer using dynamic contrast enhanced CT, interstitial fluid pressure and oxygen measurements. Int J Radiat Oncol Biol Phys. 2005;62:1100–1107
  18. Huang PL, Lo EH. Genetic analysis of NOS isoforms using nNOS and eNOS knockout animals. In:  Mize RR,  Dawson TM,  Dawson VL,  Friendlander MJ editor. Nitric oxide in brain development, plasticity and disease. Amsterdam: Elsevier; 1998;p. 13–26
  19. Amin-Hanjani S, Stagliano NE, Yamada M, et al. Mevastatin, an HMG-CoA reductase inhibitor, reduces stroke damage and upregulates endothelial nitric oxide synthase in mice. Stroke. 2001;32:980–986
  20. Unterberg AW, Stover AJ, Kressc BB, et al. Edema and brain trauma. Neuroscience. 2004;129:1021–1029
  21. Murihara T, Horowitz JR, Silver M, et al. Vascular endothelial growth factor/vascular permeability factor enhances vascular permeability via nitric oxide and prostacyclin. Circulation. 1998;97:99–107
  22. Lin K, Kazmi KS, Law M, et al. Measuring elevated microvascular permeability and predicting hemorrhagic transformation in acute ischemic stroke using first-pass dynamic perfusion CT imaging. Am J Neuroradiol. 2007;28:1292–1298
  23. Aviv RI, d’Esterre CD, Murphy BD, et al. Hemorrhagic transformation of ischemic stroke: prediction with CT perfusion. Radiology. 2009;250:867–877
  24. Ford J, Miles K, Hayball M, et al. A simplified method for measurement of blood–brain barrier permeability using CT: preliminary results and the effect of RMP-7. In:  Faulkner K editors. Quantitative imaging in oncology. London: British Institute of Radiology; 1996;p. 1–5
  25. Swensen SJ, Brown LR, Colby TV, et al. Lung nodule enhancement at CT: prospective findings. Radiology. 1996;201:447–455
  26. Jinzaki M, Tanimoto A, Mukai M, et al. Double-phase helical CT of small renal parenchymal neoplasms: correlation with pathologic findings and tumor angiogenesis. J Comput Assist Tomogr. 2000;24:835–842
  27. Tateishi U, Kusumoto M, Nishihara H, et al. Contrast-enhanced dynamic computed tomography for the evaluation of tumor angiogenesis in patients with lung carcinoma. Cancer. 2002;95:835–842
  28. Hayashi K, Tozaki M, Sugisaki M, et al. Dynamic multislice helical CT of ameloblastoma and odontogenic keratocyst: correlation between contrast enhancement and angiogenesis. J Comput Assist Tomogr. 2002;26:922–926
  29. Yi CA, Lee KS, Kim EA, et al. Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and comparison with vascular endothelial growth factor and microvessel density. Radiology. 2004;233:191–199
  30. Xie Q, Zhang J, Wu PH, et al. Bladder transitional cell carcinoma: correlation of contrast enhancement on computed tomography with histological grade and tumour angiogenesis. Clin Radiol. 2005;60:215–223
  31. Li ZP, Meng QF, Sun CH, et al. Tumor angiogenesis and dynamic CT in colorectal carcinoma: radiologic–pathologic correlation. World J Gastroenterol. 2005;11:1287–1291
  32. Wang JH, Min PQ, Wang PJ, et al. Dynamic CT evaluation of tumor vascularity in renal cell carcinoma. AJR Am J Roentgenol. 2006;186:1423–1430
  33. Chen Y, Zhang J, Dai J, et al. Angiogenesis of renal cell carcinoma: perfusion CT findings. Abdom Imaging. 2009 Sep 11;[Epub ahead of print]
  34. Liu J, Xiong Z, Zhou H, et al. Multi-slice spiral CT pulmonary perfusion imaging and the expression of VEGF/PCNA in non-small cell lung cancer. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2009;34:406–411
  35. Bai RJ, Cheng XG, Qu H, et al. Solitary pulmonary nodules: comparison of multi-slice computed tomography perfusion study with vascular endothelial growth factor and microvessel density. Chin Med J (Engl). 2009;122:541–547
  36. Goh V, Halligan S, Daley F, et al. Colorectal tumor vascularity: quantitative assessment with multidetector CT—Do tumor perfusion measurements reflect angiogenesis?. Radiology. 2008;249:510–517
  37. Miles KA, Griffiths MR, Fuentes MA. Standardised perfusion value: a universal contrast enhancement scale that correlates with FDG-PET in lung cancer. Radiology. 2001;220:548–553
  38. Ng QS, Goh V, Milner J, et al. Effect of nitric-oxide synthesis on tumour blood volume and vascular activity: a phase I study. Lancet Oncol. 2007;8:111–118
  39. Bisdas S, Rumboldt Z, Surlan-Popovic K, et al. Perfusion CT in squamous cell carcinoma of the upper aerodigestive tract: long-term predictive value of baseline perfusion CT measurements. AJNR Am J Neuroradiol. 2010;31:576–581
  40. Semenza GL. HIF-1 and tumor progression: pathophysiology and therapeutics. Trends Mol Med. 2002;8(Suppl. 4):S62–S67
  41. Kloska SP, Dittrich R, Fischer T, et al. Perfusion CT in acute stroke: prediction of vessel recanalization and clinical outcome in intravenous thrombolytic therapy. Eur Radiol. 2007;17:2491–2498
  42. Fagan SC, Hess DC, Hohnadel EJ, et al. Targets for vascular protection after acute ischemic stroke. Stroke. 2004;35:2220–2225
  43. Moustafa RR, Baron JC. Pathophysiology of ischaemic stroke: insights from imaging, and implications for therapy and drug discovery. Br J Pharmacol. 2008;153(Suppl. 1):S44–S54
  44. Swensen SJ, Viggiano RW, Midthun DE, et al. Lung nodule enhancement at CT: multicenter study. Radiology. 2000;214:73–80
  45. Cronin P, Dwamena BA, Kelly AM, et al. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy. Radiology. 2008;246:772–782
  46. Comber LA, Keith CJ, Griffiths M. Miles KA Solitary pulmonary nodules: impact of quantitative contrast-enhanced CT on the cost-effectiveness of FDG-PET. Clin Radiol. 2003;58:706–711
  47. Goh V, Halligan S, Taylor SA, et al. Differentiation between diverticulitis and colorectal cancer: quantitative CT perfusion measurements versus morphologic criteria—initial experience. Radiology. 2007;242:456–462
  48. Shim SS, Lee KS, Chung MJ, et al. Do hemodynamic studies of stage T1 lung cancer enable the prediction of hilar or mediastinal nodal metastasis?. AJR Am J Roentgenol. 2006;186:981–988
  49. Dugdale PE, Miles KA, Kelley BB, et al. CT measurements of perfusion and permeability within lymphoma masses: relationship to grade, activity and chemotherapeutic response. J Comput Tomogr. 1999;23:540–547
  50. Goh V, Halligan S, Wellsted DM, et al. Can perfusion CT assessment of primary colorectal adenocarcinoma blood flow at staging predict for subsequent metastatic disease? A pilot study. Eur Radiol. 2009;19:79–89
  51. Hayano K, Shuto K, Koda K, et al. Quantitative measurement of blood flow using perfusion CT for assessing clinicopathologic features and prognosis in patients with rectal cancer. Dis Colon Rectum. 2009;52:1624–1629
  52. Hermans R, Meijerink M, Van den Bogaert W, et al. Tumor perfusion rate determined noninvasively by dynamic computed tomography predicts outcome in head-and-neck cancer after radiotherapy. Int J Radiat Oncol Biol Phys. 2003;57:1351–1356
  53. Xiong HQ, Herbst R, Faria SC, et al. A phase I surrogate endpoint study of SU6668 in patients with solid tumours. Invest New Drugs. 2004;22:459–466
  54. McNeel DG, Eickhoff J, Lee FT, et al. Phase I trial of a monoclonal antibody specific for integrin (MEDI-522) in patients with advanced malignancies, including an assessment on tumour perfusion. Clin Cancer Res. 2005;11:7851–7860
  55. Gandhi D, Chepeha DB, Miller T, et al. Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy. AJNR Am J Neuroradiol. 2006;27:101–106
  56. Meijerink MR, van Cruijsen H, Hoekman K, et al. The use of perfusion CT for the evaluation of therapy combining AZD2171 with gefitinib in cancer patients. Eur Radiol. 2007;17:1700–1713
  57. Sabir A, Schor-Bardach R, Wilcox CJ, et al. Perfusion MDCT enables early detection of therapeutic response to antiangiogenic therapy. AJNR Am J Roentgenol. 2008;191:133–139
  58. Petralia G, Preda L, Giugliano G, et al. Perfusion computed tomography for monitoring induction chemotherapy in patients with squamous cell carcinoma of the upper aerodigestive tract: correlation between changes in tumor perfusion and tumor volume. J Comput Assist Tomogr. 2009;33:552–559
  59. Willet CG, Boucher Y, di Tomaso E, et al. Direct evidence that the VEGF-specific antibody bevacizumab has antivascular effects in human rectal cancer. Nat Med. 2004;10:145–147
  60. Wang J, Wu N, Cham MD, et al. Tumor response in patients with advanced non-small cell lung cancer: perfusion CT evaluation of chemotherapy and radiation therapy. AJR Am J Roentgenol. 2009;193:1090–1096
  61. Miles KA. PET-CT in oncology: making the most of CT. Cancer Imaging. 2008;S87–S93(Suppl A)
  62. Bisdas S, Spicer K, Rumboldt Z. Whole-tumor perfusion CT parameters and glucose metabolism measurements in head and neck squamous cell carcinomas: a pilot study using combined positron-emission tomography/CT imaging. AJNR Am J Neuroradiol. 2008;29:1376–1381
  63. Groves AM, Wishart GC, Shastry M, et al. Metabolic-flow relationships in primary breast cancer: feasibility of combined PET/dynamic contrast-enhanced CT. Eur J Nucl Med Mol Imaging. 2009;36:416–421
  64. Veit-Haibach P, Treyer V, Strobel K, et al. Feasibility of integrated CT-liver perfusion in routine FDG-PET/CT. Abdom Imaging. 2009 Jul 11;[Epub ahead of print]
  65. Bacharach SL, Libutti SK, Carrasquillo JA. Measuring tumor blood flow with H(2)(15)O: practical considerations. Nucl Med Biol. 2000;27:671–767
  66. Miles KA, Williams RE. Warburg revisited: imaging tumour blood flow and metabolism. Cancer Imaging. 2008;8:81–86
  67. Aronen HJ, Pardo FS, Kennedy DN, et al. High microvascular blood volume is associated with high glucose uptake and tumor angiogenesis in human gliomas. Clin Cancer Res. 2000;6:2189–2200
  68. Mankoff DA, Dunnwald LK, Gralow JR, et al. Blood flow and metabolism in locally advanced breast cancer: relationship to response to therapy. J Nucl Med. 2002;43:500–509
  69. Miles KA, Griffiths MR, Keith CJ. Blood flow–metabolic relationships are dependent on tumour size in non-small cell lung cancer: a study using quantitative contrast-enhanced computer tomography and positron emission tomography. Eur J Nucl Med Mol Imaging. 2006;33:22–28
  70. Komar G, Kauhanen S, Liukko K, et al. Decreased blood flow with increased metabolic activity: a novel sign of pancreatic tumor aggressiveness. Clin Cancer Res. 2009;15:5511–5517

PII: S0009-9260(10)00184-4

doi: 10.1016/j.crad.2010.04.007

Clinical Radiology
Volume 65, Issue 7 , Pages 549-556 , July 2010

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