Scientific basis and validation

Multi-Detector Computed Tomography in Oncology: CT Perfusion Imaging

Volumn , Issue , 2007, Pages 15-46

  Lee, Ting Yim ^a   Stewart, Errol ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 65949084775     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (54)

1. Axel L. Cerebral blood flow determination by rapid-sequence computed tomography; theoretical analysis. Radiology 1980; 137: 679-86.
2. Axel L. Tissue mean transit time from dynamic computed tomography by a simple deconvolution technique. Invest Radiol 1983; 18: 94-9.
3. Miles KA. Measurement of tissue perfusion by dynamic computed tomography. Br J Radiol 1991; 64: 409-12.
4. Blomley MJK, Coulden R, Bufkin CRT et al. Contrast bolus dynamic computed tomography for the measurement of solid organ perfusion. Invest Radiol 1993; 28 (Suppl 5): S72-7.
5. Blomley MJK, Dawson P. Bolus dynamics: theoretical and experimental aspects. Br J Radiol 1997; 70: 351-9.
6. Dawson P, Blomley MJK. Contrast agents as extra-cellular fluid space markers: adaptation of the central volume theorem. Br J Radiol 1996; 69: 717-22.
7. St Lawrence K, Lee T-Y. An adiabatic approximation to the tissue homogeneity model for water exchange in the brain I. Theoretical derivation. J Cereb Blood Flow Metab 1998; 18: 1365-77.
8. St Lawrence K, Lee T-Y. An adiabatic approximation to the tissue homogeneity model for water exchange in the brain II. Experimental validation. J Cereb Blood Flow Metab 1998; 18: 1378-85.
9. Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee T-Y. Dynamic CT measurement of cerebral blood flow: a validation study. AJNR Am J Neuroradiol 1999; 20: 63-73.
10. Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee T-Y. A CT method to measure hemodynamics in brain tumors: validation and application to cerebral blood flow maps. AJNR Am J Neuroradiol 2000; 21: 462-70.
11. Schumann P, Touzani O, Young AR et al. Evaluation of the ratio of cerebral blood flow to cerebral blood volume as an index of local cerebral perfusion pressure. Brain 1998; 121: 1369-79.
12. Rapoport SI. Blood-Brain Barrier in Physiology and Medicine. New York: Raven Press, 1976.
13. Crone C. The permeability of capillaries in various organs as determined by use of the ‘indicator diffusion’ method. Acta Physiol Scand 1963; 58: 292-305.
14. Johnson JA, Wilson TA. A model for capillary exchange. Am J Physiol 1966; 210: 1299-303.
15. Sawada Y, Patlak CS, Blasberg RG. Kinetic analysis of cerebrovascular transport based on indicator diffusion technique. Am J Physiol 1989; 256: H794-812.
16. Renkin EM. Transport of potassium-42 from blood to tissue in isolated mammalian skeletal muscle. Am J Physiol 1959; 197: 1205-10
17. Meier P, Zierler KL. On the theory of the indicator dilution method for measurement of blood flow and volume. J Appl Physiol 1954; 6: 731-44.
18. Robert GW, Larson KB, Spaeth EE. The interpretation of mean transit time measurements for multiphase tissue systems. J Theor Biol 1973; 39: 447-75.
19. Brooks DJ, Thomas DG, Marshall J, Jones T. Studies on regional cerebral pH in patients with cerebral tumours using continuous inhalation of 11CO2 and positron emission tomography. J Cereb Blood Flow Metab 1986; 6: 529-35.
20. Brudin LH, Valind SO, Rhodes CG, Turton DR, Hughes JM. Regional lung hematocrit in humans using positron emission tomography. J Appl Physiol 1986; 60:1155-63.
21. Okazawa H, Yonekura Y, Fujibayashi Y et al. Measurement of regional cerebral plasma pool and hematocrit with copper-62-labeled HSA-DTS. J Nucl Med 1996; 37: 1080-5.
22. Sakai F, Igarashi H, Suzuki S, Tazaki Y. Cerebral blood flow and cerebral hematocrit in patients with cerebral ischemia measured by single-photon emission computed tomography. Acta Neurol Scand 198; 127 (Suppl): 9-13.
23. Lee TY, Ellis RJ, Dunscombe PB et al. Quantitative computed tomography of the brain with xenon enhancement: a phantom study with the GE9800 scanner. Phys Med Biol 1990; 35: 925-35.
24. Bassingthwaighte JB, Chinard FP, Crone C, Lassen NA, Perl W. Definitions and terminology for indicator dilution methods. In: Crone C, Lassen NA, eds. Capillary Permeability. Copenhagen: Munskgaard 1970: 665-9.
25. Peters AM, Gunasekera RD, Henderson BL et. al. Noninvasive measurement of blood flow and extraction fraction. Nucl Med Commun 1987; 8: 823-37.
26. Miles KA. Measurement of tissue perfusion by dynamic computed tomography. Br J Radiol 1991; 64: 409-12.
27. Miles KA, Charnsangavej C, Lee FT et al. Application of CT in the investigation of angiogenesis in oncology. Acad Radiol 2000; 7: 840-50.
28. Klotz E, Konig M. Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. Eur J Radiol 1999; 30: 170-84.
29. Kety SS, Schmidt CT. The determination of cerebral blood flow in man by the use of nitrous oxide in low concentrations. Am J Physiol 1945; 143: 53-61.
30. Patlak CS, Blasberg RG, Fenstermacher JD. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Metab 1983; 3: 1-7.
31. Patlak CS, Blasberg RG. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Metab 1985; 5: 584-90.
32. Groothuis DR, Lapin GD, Vriesendorp FJ, Mikhael MA, Patlak CS. A method to quantitatively measure transcapillary transport of iodinated compounds in canine brain tumors with computed tomography. J Cereb Blood Flow Metab 1991; 11: 939-48.
33. Groothuis DR, Vriesendorp FJ, Kupfer B et al. Quantitative measurements of capillary transport in human brain tumors by computed tomography. Ann Neurol 1991; 30: 581-8.
34. Gill PE, Murray W, Wright MH. Practical Optimization. London: Academic Press, 1981.
35. Miles KA. Tumour angiogenesis and its relation to contrast enhancement on computerised tomography: a review: Eur J Radiol 1999; 30: 198-205.
36. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000; 44: 466-73.
37. Richardson PD, Withrington PG. Liver blood flow. I. Intrinsic and nervous control of liver blood flow. Gastroenterology 1981; 81: 159-73.
38. Schenk W Jr, McDonald J, McDonald K, Drapanas T. Direct measurement of hepatic blood flow in surgical patients: with related observations on hepatic flow dynamics in experimental animals. Ann Surg 1962; 156: 463-71.
39. Stewart EE, Chen X, Hadway J, Lee T-Y. Correlation between hepatic tumor blood flow and glucose utilization in a rabbit liver tumor model. Radiology 2006; 239: 740-50.
40. Roberts H, Roberts T, Lee T-Y, Dillon W. Dynamic, contrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability. Report of Two Cases. AJNR Am J Neuroradiol 2002; 23: 828-32.
41. Nabavi DG, LeBlanc LM, Baxter B et al. Monitoring cerebral perfusion flow after subarachnoid hemorrhage using CT. Neuroradiology 2001; 43: 7-16.
42. Lee TY, Ellis RJ, Dunscombe PB et al. Quantitative computed tomography of the brain with xenon enhancement: a phantom study with the GE9800 scanner. Phys Med Biol 1990; 35: 925-35.
43. Wintermark M, Maeder P, Verdun FR et al. Using 80 kVp versus 120 kVp in perfusion CT measurement of regional cerebral blood flow. AJNR Am J Neuroradiol 2000; 21: 1881-4.
44. Hirata M, Sugawara Y, Fukutomi Y et al. Measurement of radiation dose in cerebral CT perfusion study. Radiat Med 2005; 23: 97-103.
45. Huda W, Scalzetti EM, Levin G. Technique factors and image quality as functions of patient weight at abdominal CT. Radiology 2000; 217: 430-5.
46. 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: 340-9.
47. Heymann MA, Payne BD, Hoffman JI, and Rudolph AM. Blood flow measurements with radionuclide-labeled particles. Prog Cardiovasc Dis 1977; 20: 55-79.
48. Lykke AW, Cummings R. Increased vascular permeability in the primary cutaneous allograft response in the rat. Experientia 1969; 25: 1287-8.
49. Purdie TG, Henderson E, Lee TY. Functional CT imaging of angiogenesis in rabbit VX2 soft tissue. Phys Med Biol 2001; 46: 3161-75.
50. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-10.
51. Eliasziw M, Young SL, Woodbury MG, Fryday-Field K. Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example. Phys Ther 1994; 74: 777-88.
52. Goh V, Halligan S, Gartner L, Bassett P, Bartram CI. Quantitative colorectal cancer perfusion measurement by multidetector-row CT: does greater tumour coverage improve measurement reproducibility? Br J Radiol 2006; 79: 578-83.
53. Ng QS, Goh V, Klotz E et al. Quantitative assessment of lung cancer perfusion using MDCT: does measurement reproducibility improve with greater tumor volume coverage? Am J Roentgenol 2006; 187: 1079-84.
54. Hattori H, Miyoshi T, Okada J et al. Tumor blood flow measured using dynamic computed tomography. Invest Radiol 1994; 29: 873-6.