Perfusion CT for the assessment of tumour vascularity: which protocol?

Perfusion CT is a technique that can be readily incorporated into the existing CT protocols that continue to provide the mainstay for anatomical imaging in oncology to provide an in vivo marker of tumour angiogenesis. By capturing physiological information reflecting the tumour vasculature, perfusion CT can be useful for diagnosis, risk-stratification and therapeutic monitoring. However, a wide range of perfusion CT techniques have evolved and the various commercial implementations advocate different acquisition protocols and processing methods. Acquisition choices include first pass studies or delayed imaging, temporal resolution versus image noise, and single location sequences or multiple spiral acquisitions. Data processing may be semi-quantitative or, using either compartmental analysis or deconvolution, produce results that are quantified in absolute physiological terms such as perfusion, blood volume and permeability. This article discusses the advantages and disadvantages of the more common CT perfusion protocols and offers proposals that could allow for easier comparison between studies employing different techniques.

[1]  R Materne,et al.  Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. , 2001, AJR. American journal of roentgenology.

[2]  C. Higgins,et al.  Measurement of Regional: Myocardial Blood Flow in Dogs by Ultrafast CT , 1988, Investigative radiology.

[3]  K. Miles,et al.  Hepatic metastases: the value of quantitative assessment of contrast enhancement on computed tomography. , 1999, European journal of radiology.

[4]  Ricky T. Tong,et al.  Direct evidence that the VEGF-specific antibody bevacizumab has antivascular effects in human rectal cancer , 2004, Nature Medicine.

[5]  E. Fishman,et al.  Application of CT in the investigation of angiogenesis in oncology. , 2000, Academic radiology.

[6]  K. Miles,et al.  CT derived Patlak images of the human kidney. , 1999, The British journal of radiology.

[7]  K Miyasaka,et al.  Tumor Angiogenesis and Dynamic CT in Lung Adenocarcinoma: Radiologic–Pathologic Correlation , 2001, Journal of computer assisted tomography.

[8]  K. Miles,et al.  Perfusion CT: a worthwhile enhancement? , 2003, The British journal of radiology.

[9]  R. Craen,et al.  Quantitative assessment of cerebral hemodynamics using CT: stability, accuracy, and precision studies in dogs. , 1999, Journal of computer assisted tomography.

[10]  F Frouin,et al.  Early changes in liver perfusion caused by occult metastases in rats: detection with quantitative CT. , 2001, Radiology.

[11]  M. Lipton,et al.  Contrast Bolus Dynamic Computed Tomography for the Measurement of Solid Organ Perfusion , 1993, Investigative radiology.

[12]  A K Dixon,et al.  BW12C perturbs normal and tumour tissue oxygenation and blood flow in man. , 1994, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[13]  N. Hattori,et al.  Tumor Blood Flow Measured Using Dynamic Computed Tomography , 1994, Investigative radiology.

[14]  P. Price,et al.  Functional CT Imaging of the Acute Hyperemic Response to Radiation Therapy of the Prostate Gland: Early Experience , 2001, Journal of computer assisted tomography.

[15]  Tran,et al.  9:00-9:15. Antiangiogenic Treatment with Endostatin Results in Uncoupling of Blood Flow and Glucose Metabolism in Human Tumors. , 2000, Clinical positron imaging : official journal of the Institute for Clinical P.E.T.

[16]  J. Thiran,et al.  Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: a validation study. , 2001, AJNR. American journal of neuroradiology.

[17]  J. Ellis,et al.  Liver metastases: early detection based on abnormal contrast material enhancement at dual-phase helical CT. , 1997, Radiology.

[18]  M. P. Hayball,et al.  Assessment of quantitative computed tomographic cerebral perfusion imaging with H2150 positron emission tomography , 2000, Neurological research.

[19]  M. Jinzaki,et al.  Double-Phase Helical CT of Small Renal Parenchymal Neoplasms: Correlation with Pathologic Findings and Tumor Angiogenesis , 2000, Journal of computer assisted tomography.

[20]  W. W. Li Tumor angiogenesis: molecular pathology, therapeutic targeting, and imaging. , 2000, Academic radiology.

[21]  James S. Killius,et al.  Hepatic parenchymal enhancement during triple-phase helical CT: can it be used to predict which patients with breast cancer will develop hepatic metastases? , 2000, Radiology.

[22]  R. Craen,et al.  Dynamic CT measurement of cerebral blood flow: a validation study. , 1999, AJNR. American journal of neuroradiology.

[23]  S J Swensen,et al.  Lung nodule enhancement at CT: prospective findings. , 1996, Radiology.

[24]  J Konishi,et al.  Solitary pulmonary nodule: preliminary study of evaluation with incremental dynamic CT. , 1995, Radiology.

[25]  A L Baert,et al.  Non-invasive tumour perfusion measurement by dynamic CT: preliminary results. , 1997, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[26]  K. Miles,et al.  Tumour angiogenesis and its relation to contrast enhancement on computed tomography: a review. , 1999, European journal of radiology.

[27]  K. Miles,et al.  CT measurement of perfusion and permeability within lymphoma masses and its ability to assess grade, activity, and chemotherapeutic response. , 1999, Journal of computer assisted tomography.

[28]  W P Dillon,et al.  Multisection dynamic CT perfusion for acute cerebral ischemia: the "toggling-table" technique. , 2001, AJNR. American journal of neuroradiology.

[29]  M Kono,et al.  Solitary pulmonary nodules: evaluation of blood flow patterns with dynamic CT. , 1997, Radiology.

[30]  K. Miles,et al.  Solitary pulmonary nodules: impact of quantitative contrast-enhanced CT on the cost-effectiveness of FDG-PET. , 2003, Clinical radiology.

[31]  J D Pickard,et al.  Reproducibility of quantitative CT perfusion imaging. , 2001, The British journal of radiology.

[32]  B. Carey,et al.  Quantitative Imaging in Oncology , 1996 .

[33]  Blood-brain barrier and blood volume imaging of cerebral glioma using functional CT: a pictorial review. , 1999, European journal of radiology.

[34]  N. Müller,et al.  Lung nodule enhancement at CT: multicenter study. , 2000, Radiology.

[35]  A K Dixon,et al.  Functional images of hepatic perfusion obtained with dynamic CT. , 1993, Radiology.

[36]  K. Miles,et al.  Standardized perfusion value: universal CT contrast enhancement scale that correlates with FDG PET in lung nodules. , 2001, Radiology.

[37]  C. Harvey,et al.  Imaging of tumour therapy responses by dynamic CT. , 1999, European journal of radiology.

[38]  Y. Tsushima,et al.  The Portal Component of Hepatic Perfusion Measured by Dynamic CT (An Indicator of Hepatic Parenchymal Damage) , 1999, Digestive Diseases and Sciences.

[39]  M. P. Hayball,et al.  Transient splenic inhomogeneity with contrast-enhanced CT: mechanism and effect of liver disease. , 1995, Radiology.

[40]  M Kormano,et al.  Liver Perfusion Studied with Ultrafast CT , 1995, Journal of computer assisted tomography.

[41]  A. Herneth,et al.  Hepatic perfusion after liver transplantation: noninvasive measurement with dynamic single-section CT. , 1998, Radiology.

[42]  R. Craen,et al.  A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. , 2000, AJNR. American journal of neuroradiology.

[43]  J. M. Ollinger,et al.  Positron Emission Tomography , 2018, Handbook of Small Animal Imaging.

[44]  K. Miles,et al.  Functional computed tomography in oncology. , 2002, European journal of cancer.