Metastases to the liver from neuroendocrine tumors: effect of duration of scan acquisition on CT perfusion values.

PURPOSE To assess the effects of acquisition duration on computed tomographic (CT) perfusion parameter values in neuroendocrine liver metastases and normal liver tissue. MATERIALS AND METHODS This retrospective study was institutional review board approved, with waiver of informed consent. CT perfusion studies in 16 patients (median age, 57.5 years; range, 42.0-69.7 years), including six men (median, 54.1 years; range, 42.0-69.7), and 10 women (median, 59.3 years; range 43.6-66.3), with neuroendocrine liver metastases were analyzed by means of distributed parametric modeling to determine tissue blood flow, blood volume, mean transit time, permeability, and hepatic arterial fraction for tumors and normal liver tissue. Analyses were undertaken with acquisition time of 12-590 seconds. Nonparameteric regression analyses were used to evaluate the functional relationships between CT perfusion parameters and acquisition duration. Evidence for time invariance was evaluated for each parameter at multiple time points by inferring the fitted derivative to assess its proximity to zero as a function of acquisition time by using equivalence tests with three levels of confidence (20%, 70%, and 90%). RESULTS CT perfusion parameter values varied, approaching stable values with increasing acquisition duration. Acquisition duration greater than 160 seconds was required to obtain at least low confidence stability in any of the CT perfusion parameters. At 160 seconds of acquisition, all five CT perfusion parameters stabilized with low confidence in tumor and normal tissues, with the exception of hepatic arterial fraction in tumors. After 220 seconds of acquisition, there was stabilization with moderate confidence for blood flow, blood volume, and hepatic arterial fraction in tumors and normal tissue, and for mean transit time in tumors; however, permeability values did not satisfy the moderate stabilization criteria in both tumors and normal tissue until 360 seconds of acquisition. Blood flow, mean transit time, permeability, and hepatic arterial fraction were significantly different between tumor and normal tissue at 360 seconds (P < .001). CONCLUSION CT perfusion parameter values are affected by acquisition duration and approach progressively stable values with increasing acquisition times. Online supplemental material is available for this article.

[1]  K. Miles,et al.  Perfusion CT for the assessment of tumour vascularity: which protocol? , 2003, The British journal of radiology.

[2]  Ting-Yim Lee,et al.  The effect of varying user-selected input parameters on quantitative values in CT perfusion maps. , 2004, Academic radiology.

[3]  Wei Wei,et al.  Semiautomated motion correction of tumors in lung CT-perfusion studies. , 2011, Academic radiology.

[4]  Steve Halligan,et al.  Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancer , 2011, European Radiology.

[5]  Ruth C Carlos,et al.  Computed Tomography Perfusion of Squamous Cell Carcinoma of the Upper Aerodigestive Tract: Initial Results , 2003, Journal of computer assisted tomography.

[6]  K. Hegenscheid,et al.  Assessing early vascular changes and treatment response after laser-induced thermotherapy of pulmonary metastases with perfusion CT: initial experience. , 2010, AJR. American journal of roentgenology.

[7]  Qing Zhang,et al.  Perfusion CT findings in liver of patients with tumor during chemotherapy. , 2010, World journal of gastroenterology.

[8]  Steve Halligan,et al.  Colorectal tumor vascularity: quantitative assessment with multidetector CT--do tumor perfusion measurements reflect angiogenesis? , 2008, Radiology.

[9]  Ting-Yim Lee,et al.  The effect of scan duration on the measurement of perfusion parameters in CT perfusion studies of brain tumors. , 2013, Academic radiology.

[10]  Y. Doki,et al.  Correlation between tumor blood flow assessed by perfusion CT and effect of neoadjuvant therapy in advanced esophageal cancers , 2007, Journal of surgical oncology.

[11]  Steve Halligan,et al.  Quantitative Colorectal Cancer Perfusion Measurement Using Dynamic Contrast-Enhanced Multidetector-Row Computed Tomography: Effect of Acquisition Time and Implications for Protocols , 2005, Journal of computer assisted tomography.

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

[13]  Ting-Yim Lee,et al.  Correlation between hepatic tumor blood flow and glucose utilization in a rabbit liver tumor model. , 2006, Radiology.

[14]  Wei Wei,et al.  Reproducibility of perfusion parameters obtained from perfusion CT in lung tumors. , 2011, AJR. American journal of roentgenology.

[15]  V. Goh,et al.  Quantitative assessment of colorectal cancer perfusion using MDCT: inter- and intraobserver agreement. , 2005, AJR. American journal of roentgenology.

[16]  Zhengyang Sun,et al.  Peripheral lung cancer: relationship between multi-slice spiral CT perfusion imaging and tumor angiogenesis and cyclin D1 expression. , 2007, Clinical imaging.

[17]  D. Sahani,et al.  Body perfusion CT: technique, clinical applications, and advances. , 2009, Radiologic clinics of North America.

[18]  T. Vogl,et al.  Differentiation of benign and malignant parotid tumors using deconvolution-based perfusion CT imaging: feasibility of the method and initial results. , 2007, European journal of radiology.

[19]  Ning Wu,et al.  Tumor response in patients with advanced non-small cell lung cancer: perfusion CT evaluation of chemotherapy and radiation therapy. , 2009, AJR. American journal of roentgenology.

[20]  N. Holalkere,et al.  Early antiangiogenic activity of bevacizumab evaluated by computed tomography perfusion scan in patients with advanced hepatocellular carcinoma. , 2008, The oncologist.

[21]  Dushyant V. Sahani,et al.  Protocol modifications for CT perfusion (CTp) examinations of abdomen-pelvic tumors: Impact on radiation dose and data processing time , 2011, European Radiology.

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

[23]  Massimo Bellomi,et al.  CT perfusion for the monitoring of neoadjuvant chemotherapy and radiation therapy in rectal carcinoma: initial experience. , 2007, Radiology.

[24]  D. Sahani,et al.  Assessing tumor perfusion and treatment response in rectal cancer with multisection CT: initial observations. , 2005, Radiology.

[25]  Ting-Yim Lee Functional CT: physiological models , 2002 .

[26]  Y. Ohno,et al.  CT hepatic perfusion measurement: comparison of three analytic methods. , 2012, European journal of radiology.

[27]  N. Holalkere,et al.  Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue--initial experience. , 2007, Radiology.

[28]  Kenya Murase,et al.  Measurement of radiation dose in cerebral CT perfusion study. , 2005, Radiation medicine.

[29]  I. Taylor,et al.  Clinical study of liver blood flow in man measured by 133Xe clearance after portal vein injection. , 1977, Gut.