Correlation between Dual-Energy and Perfusion CT in Patients with Hepatocellular Carcinoma.

Purpose To develop a dual-energy contrast media-enhanced computed tomographic (CT) protocol by using time-attenuation curves from previously acquired perfusion CT data and to evaluate prospectively the relationship between iodine enhancement metrics at dual-energy CT and perfusion CT parameters in patients with hepatocellular carcinoma (HCC). Materials and Methods Institutional review board and local ethics committee approval and written informed consent were obtained. The retrospective part of this study included the development of a dual-energy CT contrast-enhanced protocol to evaluate peak arterial enhancement of HCC in the liver on the basis of time-attenuation curves from previously acquired perfusion CT data in 20 patients. The prospective part of the study consisted of an intraindividual comparison of dual-energy CT and perfusion CT data in another 20 consecutive patients with HCC. Iodine density and iodine ratio (iodine attenuation of the lesion divided by iodine attenuation in the aorta) from dual-energy CT and arterial perfusion (AP), portal venous perfusion, and total perfusion (TP) from perfusion CT were compared. Pearson R and linear correlation coefficients were calculated for AP and iodine density, AP and iodine ratio, TP and iodine density, and TP and iodine ratio. Results The dual-energy CT protocol consisted of bolus tracking in the abdominal aorta (threshold, 150 HU; scan delay, 9 seconds). The strongest intraindividual correlations in HCCs were found between iodine density and AP (r = 0.75, P = .0001). Moderate correlations were found between iodine ratio and AP (r = 0.50, P = .023) and between iodine density and TP (r = 0.56, P = .011). No further significant correlations were found. The volume CT dose index (11.4 mGy) and dose-length product (228.0 mGy · cm) of dual-energy CT was lower than those of the arterial phase of perfusion CT (36.1 mGy and 682.3 mGy · cm, respectively). Conclusion A contrast-enhanced dual-energy CT protocol developed by using time-attenuation curves from previously acquired perfusion CT data sets in patients with HCC could show good correlation between iodine density from dual-energy CT with AP from perfusion CT. (©) RSNA, 2016.

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

[2]  Panagiotis Samaras,et al.  Quantitative Perfusion Analysis of Malignant Liver Tumors: Dynamic Computed Tomography and Contrast-Enhanced Ultrasound , 2012, Investigative radiology.

[3]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[4]  C. V. van Kuijk,et al.  Dynamic contrast-enhanced CT in patients treated with sorafenib and erlotinib for non-small cell lung cancer: a new method of monitoring treatment? , 2010, European Radiology.

[5]  D. Fleischmann CT angiography: injection and acquisition technique. , 2010, Radiologic clinics of North America.

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

[7]  V. Mazzaferro,et al.  EASL-EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma European Association for the Study of the Liver ⇑ , European Organisation for Research and Treatment of Cancer , 2012 .

[8]  Gunnar Brix,et al.  Dynamic Contrast-Enhanced CT Studies: Balancing Patient Exposure and Image Noise , 2011, Investigative radiology.

[9]  Gregory T Sica,et al.  Bias in research studies. , 2006, Radiology.

[10]  Riccardo Lencioni,et al.  EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. , 2012, Journal of hepatology.

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

[12]  H. Alkadhi,et al.  Computed Tomographic Perfusion Imaging for the Prediction of Response and Survival to Transarterial Radioembolization of Liver Metastases , 2013, Investigative radiology.

[13]  H. Alkadhi,et al.  Computed Tomography Perfusion Imaging of Renal Cell Carcinoma: Systematic Comparison With Histopathological Angiogenic and Prognostic Markers , 2013, Investigative radiology.

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

[15]  Daniele Marin,et al.  State of the art: dual-energy CT of the abdomen. , 2014, Radiology.

[16]  Farida Cheriet,et al.  Large deformation registration of contrast-enhanced images with volume-preserving constraint , 2007, SPIE Medical Imaging.

[17]  Andrew C Larson,et al.  Quantitative dual energy CT measurements in rabbit VX2 liver tumors: Comparison to perfusion CT measurements and histopathological findings. , 2012, European journal of radiology.

[18]  Eric A Hoffman,et al.  Pulmonary perfused blood volume with dual-energy CT as surrogate for pulmonary perfusion assessed with dynamic multidetector CT. , 2013, Radiology.

[19]  H. Schlemmer,et al.  Quantitative therapy response assessment by volumetric iodine-uptake measurement: initial experience in patients with advanced hepatocellular carcinoma treated with sorafenib. , 2013, European journal of radiology.

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

[21]  Jin-Young Choi,et al.  CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part I. Development, growth, and spread: key pathologic and imaging aspects. , 2014, Radiology.

[22]  Jun Aoki,et al.  Quantitative perfusion map of malignant liver tumors, created from dynamic computed tomography data. , 2004, Academic radiology.