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AJR 2004; 183:443-452
© American Roentgen Ray Society


Pictorial Essay

Comprehensive Analysis of Hypervascular Liver Lesions Using 16-MDCT and Advanced Image Processing

Ihab R. Kamel1, Leo P. Lawler and Elliot K. Fishman

1 All authors: Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Outpatient Center, 601 N Caroline St., Rm. 3235A, Baltimore, MD 21287.

Received September 29, 2003; accepted after revision November 6, 2003.

 
Address correspondence to I. R. Kamel.


Introduction
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
The introduction of 16-MDCT provides several advantages for detection and analysis of hypervascular hepatic lesions, including faster scanning, improved spatial and temporal resolution, less respiratory misregistration, better contrast bolus capture and timing of arterial and venous phases, and volumetric acquisition of the entire data set in a single breath-hold [1-4]. These factors have significantly improved the image quality of MDCT, particularly in hepatic imaging. Advancement in image postprocessing technology has accompanied that of image acquisition. New commercially available workstations, with efficient real-time editing, offer high-quality image postprocessing, facilitating the analysis and interpretation of large volumetric data sets [5].

In this pictorial essay, we provide details of our initial experience using 16-MDCT scanners in the characterization of hypervascular liver lesions. We show the value of volumetric analysis using a 3D workstation in the detection and characterization of these lesions.


Imaging and Postprocessing Technique
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
Scanning was performed using the Sensation 16 scanner (Siemens Medical Solutions). Gantry rotation time was 500 msec, with detector collimation and slice thickness of 0.75 mm for arterial and portal venous phase image acquisition. Patients received 750 mL of water as a neutral contrast agent 15 min before the study began and another 250 mL at the time of the study. All patients received 120 mL of nonionic contrast medium (iohexol [350 mg/mL], Omnipaque, Amersham Health) injected IV at a rate of 3-4 mL/sec with a power injector. The scan delay was 25-30 sec and 55-60 sec for arterial and portal venous phases, respectively. All CT data, in the original resolution of 512 x 512, were sent from the scanner to a freestanding commercially available workstation using In Space Software (Leonardo, Siemens Medical Solutions) for postprocessing. Real-time axial scrolling, interactive maximum-intensity-projection, and volume-rendered techniques were used to evaluate the hepatic parenchyma. Slab maximum-intensity-projection images obtained in a plane that avoids structures of overlapping high attenuation allowed accurate delineation of tumor stain, neovascularity, feeding vessels, and draining veins. Sliding maximum-intensity-projection images allowed fast visualization of the lesion of interest, and rotation in different planes facilitated tracing the full course of a feeding vessel, which may be difficult to depict on axial images.


Hepatic Parenchymal Evaluation
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
Multiplanar volume-rendered and maximum-intensity-projection 16-MDCT data allow robust evaluation of the hepatic parenchyma. The near-isotropic pixel resolution provides high-quality data sets with accurate parenchymal evaluation of the liver, independent of viewing perspective. Volume-rendered techniques allow the user to manipulate the degree of opacity in each voxel, depending on the specific tissue type to be displayed, and also allow true representation of all voxel density values. The high fidelity of this technique harnesses the original high quality of 16-MDCT data, preserves both vascular and parenchymal detail, and allows fast imaging review in multiple planes. The maximum-intensity-projections technique allows structures that are not in the same plane to be visualized along their entire length; this feature is advantageous in the case of the hepatic arteries. This technique is particularly valuable in evaluating tumor vascularity, feeding vessels, and draining veins.

Image review of 16-MDCT data should not be limited to the axial plane of image acquisition. In fact, the coronal plane provides a more intuitive understanding of the anatomy compared with the axial plane. In hypervascular hepatic lesions, this technique has improved lesion characterization [6] and also has allowed the delineation of many of the vascular imaging features that are typically seen on digital subtraction angiography [7]. Some features that are not well seen on the axial plane include vascular displacement, encasement or invasion, neovascularity, tumor blush, and arteriovenous shunting. Vascular displacement may outline masses but does not distinguish benign and malignant lesions. Vascular encasement or invasion is a reliable sign of malignancy. The encased artery appears serrated or serpentine and may progress to complete occlusion. Many malignant masses and some benign lesions may develop their own blood supply, also known as neovascularity. These tumor vessels lack normal muscular walls and are short and serpentine with abrupt angulation and variable diameter. On volume-rendered images, tumor vessels appear as increased vascularity relative to the surrounding tissue; this finding is often diagnostic of neoplasm. Contrast media accumulation in the tumor interstitium results in a tumor blush during the parenchymal phase of enhancement. Vascular tumors may result in arteriovenous shunting, and in such cases, the draining veins may be seen during the arterial phase. Relative parenchymal enhancement and irregular vessels are often seen in customized imaging planes but may remain occult in the axial plane.


Cavernous Hemangioma
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
Cavernous hemangioma is the most common benign liver lesion, occurring in 5-20% of the population. On 16-MDCT, a feeding artery may be seen. Feeding arteries are normal in caliber, regardless of tumor size, and occasionally, a feeding portal venous branch is identified (Figs. 1A, 1B, 1C, 1D, 1E and 2). Vessels may be displaced but not encased or invaded, and no neovascularity is seen. In the arterial phase, small dilated amorphous vascular spaces start to opacify peripherally, gradually filling in centrally in the portal venous phase. Using advanced imaging processing can help identify the characteristic peripheral small foci of early enhancement, which may be better seen in a plane other than the axial plane of image acquisition (Figs. 1A, 1B, 1C, 1D, 1E, 2, 3A, 3B).



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Fig. 1A. —Typical hemangioma in 72-year-old woman. Conventional axial CT image obtained in arterial phase reveals lesion in right lobe of liver (arrow), with peripheral nodular enhancement.

 


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Fig. 1B. —Typical hemangioma in 72-year-old woman. Conventional axial CT image obtained at same level as A but in portal venous phase reveals gradual contrast filling of tumor.

 


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Fig. 1C. —Typical hemangioma in 72-year-old woman. Coronal volume-rendered CT image obtained in portal venous phase shows peripheral nodular enhancement (arrow) better, confirming diagnosis of hemangioma.

 


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Fig. 1D. —Typical hemangioma in 72-year-old woman. Coronal maximum-intensity-projection image readily shows small portal venous branches (arrow) supplying lesion.

 


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Fig. 1E. —Typical hemangioma in 72-year-old woman. Axial maximum-intensity-projection image shows additional feeding portal venous branches (arrows).

 


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Fig. 2. —Typical hemangioma in 53-year-old woman. Coronal volume-rendered CT image obtained in portal venous phase shows peripheral nodular enhancement. Note small branch of left portal vein (arrow) feeding left aspect of mass. No neovascularity or vascular invasion is noted.

 


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Fig. 3A. —Typical hemangioma in 58-year-old woman. Coronal maximum-intensity-projection image obtained in arterial phase shows peripheral nodular enhancement (arrow) in large caudate lobe hemangioma. Coronal plane shows lesion extent and enhancement better than conventional axial plane.

 


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Fig. 3B. —Typical hemangioma in 58-year-old woman. Coronal volume-rendered CT image obtained in portal venous phase shows increasing nodular enhancement (straight arrow). Note displacement of right hepatic vein (curved arrow), without vascular invasion.

 


Focal Nodular Hyperplasia
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
Focal nodular hyperplasia may occur in 2-5% of the population. It is usually small and rarely symptomatic, although lesions may grow to more than 10 cm in diameter. Focal nodular hyperplasia is a nonencapsulated firm nodule of normal hepatocytes with a distinct central scar and thin radiating fibrous septa containing Kupffer's cells and primitive bile ductules. Intratumoral calcification, fat, hemorrhage, and necrosis are extremely rare. On 16-MDCT with volume rendering, feeding arteries can be easily identified, and these divide into smaller penetrating branches, resulting in a reticular pattern in the center of the mass (Figs. 4A, 4B and 5A, 5B). Sliding maximum-intensity-projection images may help identify intratumoral vessels [8]. Homogeneous hyperenhancement is noted in the arterial phase, and this washes out in the portal venous phase. No arterial dilatation or neovascularity is seen. A central scar may be seen in large lesions (Figs. 4A, 4B and 5A, 5B) and may be better visualized in a plane other than the axial plane of acquisition.



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Fig. 4A. —Focal nodular hyperplasia in 28-year-old woman. Coronal maximum-intensity-projection image obtained in arterial phase shows mass with reticular pattern of enhancement (arrow). Mass was isodense to liver on portal venous phase.

 


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Fig. 4B. —Focal nodular hyperplasia in 28-year-old woman. Coronal volume-rendered CT image shows central scar (arrow), not well depicted on axial images.

 


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Fig. 5A. —Focal nodular hyperplasia in 28-year-old woman. Coronal maximum-intensity-projection image obtained in arterial phase reveals mass in right lobe with diffuse reticular enhancement. Note feeding artery (straight arrow) in inferior aspect of mass and streak artifacts (curved arrow) from cholecystectomy clips.

 


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Fig. 5B. —Focal nodular hyperplasia in 28-year-old woman. Coronal volume-rendered CT image obtained in portal venous phase reveals central scar (straight arrow) and vascular displacement (curved arrow). Mass is isodense to hepatic parenchyma.

 


Hepatocellular Carcinoma
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
The most common primary hepatic neoplasm is hepatocellular carcinoma. Its incidence is rising in the United States and has almost doubled over the past 20 years. This rise is caused in part by the epidemic of hepatitis C virus, which can lead to both cirrhosis and subsequent development of hepatocellular carcinoma. Sixteen-MDCT with volume rendering shows enlargement of the feeding hepatic artery and neovascularity (Figs. 6A, 6B, 7, 8A, 8B). Some lesions may show arterial to portal venous shunting. Venous invasion is characteristic of hepatocellular carcinoma and is rare in other neoplasms and metastases (Fig. 9A, 9B). Volume rendering allows the detection of subtle lesions that may be difficult to detect on axial images, particularly in cirrhotic livers with heterogeneous parenchyma (Fig. 10A, 10B).



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Fig. 6A. —Hepatocellular carcinoma in 48-year-old man with history of hepatitis C. Coronal maximum-intensity-projection image obtained in arterial phase reveals two small hypervascular nodules in right lobe, with small arterial feeder vessels (arrows) from anterior branch of right hepatic artery. These vessels fail to taper toward periphery of liver and terminate abruptly in masses. These findings are difficult to detect on axial images.

 


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Fig. 6B. —Hepatocellular carcinoma in 48-year-old man with history of hepatitis C. Coronal volume-rendered CT image obtained in portal venous phase reveals persistent tumor stain and pooling of contrast material (arrow).

 


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Fig. 7. —Hepatocellular carcinoma in 49-year-old man with history of hepatitis C and cirrhosis. Coronal maximum-intensity-projection image obtained in arterial phase reveals encasement of left hepatic artery, which appears serpentine. Contrast media accumulation in tumor interstitium results in tumor blush or stain (straight arrow). This appearance is highly suspicious of malignancy and is easier to detect on maximum-intensity-projection images compared with axial source images. Note replaced right hepatic artery (curved arrow).

 


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Fig. 8A. —Hepatocellular carcinoma in 59-year-old woman with history of hepatitis C and cirrhosis. Coronal maximum-intensity-projection image obtained in arterial phase reveals serpentine arteries (straight arrow) and feeding mass (curved arrow) in right lobe. Note heterogeneous liver parenchyma due to cirrhosis.

 


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Fig. 8B. —Hepatocellular carcinoma in 59-year-old woman with history of hepatitis C and cirrhosis. Coronal volume-rendered CT image obtained in portal venous phase reveals mass with surrounding low attenuation (arrow) due to capsule.

 


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Fig. 9A. —Multifocal hepatocellular carcinoma in 76-year-old man with history of cirrhosis. Coronal maximum-intensity-projection image obtained in arterial phase reveals numerous nodules, with largest (straight arrow) located in left lobe. Multiple feeding arteries (curved arrows) are identified, particularly to left lobe mass.

 


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Fig. 9B. —Multifocal hepatocellular carcinoma in 76-year-old man with history of cirrhosis. Coronal volume-rendered CT image obtained in portal venous phase reveals clots in portal vein (straight arrow) and inferior vena cava (curved arrow).

 


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Fig. 10A. —Recurrent hepatocellular carcinoma in 70-year-old man with history of cirrhosis and prior left hepatectomy. Axial CT image obtained in arterial phase reveals subtle mass (arrow) in inferior right lobe.

 


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Fig. 10B. —Recurrent hepatocellular carcinoma in 70-year-old man with history of cirrhosis and prior left hepatectomy. Coronal volume-rendered CT image shows improved conspicuity of mass (arrow), likely due to different manipulation of brightness and contrast values.

 


Hypervascular Metastases
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
Hypervascular metastases are those with an abundant blood supply, typically greater than that of the normal liver. These tumors include choriocarcinoma, renal cell carcinoma, thyroid carcinoma, carcinoid tumor, and islet cell tumor. These metastases are often multiple, and tumor burden can be easily evaluated on 16-MDCT with volume rendering (Figs. 11A, 11B and 12A, 12B, 12C, 12D, 12E). Pooling of contrast material may occur during the arterial phase, resulting in tumor blush. Neovascularity may also be observed.



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Fig. 11A. —Diffuse hepatic metastases in 60-year-old woman with neuroendocrine tumor. Coronal volume-rendered CT image obtained in arterial phase reveals numerous nodules (arrows) with tumor stain.

 


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Fig. 11B. —Diffuse hepatic metastases in 60-year-old woman with neuroendocrine tumor. Coronal volume-rendered CT image obtained in same plane as A but with increased opacity shows additional tumors (straight arrows) and feeding artery (curved arrow).

 


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Fig. 12A. —Large hepatic metastases in 39-year-old woman with neuroendocrine tumor of pancreas. Maximum-intensity-projection image obtained in coronal plane of arterial phase reveals two large hypervascular masses (solid straight arrows) in right lobe, with feeding artery (curved arrow) and arteriovenous shunting resulting in early opacification (open arrows) of hepatic veins.

 


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Fig. 12B. —Large hepatic metastases in 39-year-old woman with neuroendocrine tumor of pancreas. Maximum-intensity-projection image obtained in coronal oblique plane of arterial phase shows feeding artery (arrow) better.

 


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Fig. 12C. —Large hepatic metastases in 39-year-old woman with neuroendocrine tumor of pancreas. Maximum-intensity-projection image obtained in axial plane of arterial phase shows early venous drainage (arrows) better.

 


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Fig. 12D. —Large hepatic metastases in 39-year-old woman with neuroendocrine tumor of pancreas. Coronal maximum-intensity-projection image obtained during portal venous phase reveals prominent draining hepatic veins (arrows).

 


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Fig. 12E. —Large hepatic metastases in 39-year-old woman with neuroendocrine tumor of pancreas. Coronal volume-rendered CT image obtained during portal venous phase shows pooling of contrast material (arrow) in tumor.

 


Conclusion
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 
Sixteen-MDCT allows robust evaluation of the hepatic parenchyma, with the potential for improved detection and characterization of focal liver lesions. Routine 3D data evaluation and interpretation offer faster and more thorough assessment of the liver parenchyma than is possible with axial images alone. A new paradigm in hepatic imaging is true volumetric acquisition and display.


References
Top
Introduction
Imaging and Postprocessing...
Hepatic Parenchymal Evaluation
Cavernous Hemangioma
Focal Nodular Hyperplasia
Hepatocellular Carcinoma
Hypervascular Metastases
Conclusion
References
 

  1. Brink JA. Contrast optimization and scan timing for single and multidetector-row computed tomography. J Comput Assist Tomogr 2003;27[suppl 1]:S3 -S8
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  3. Foley WD, Mallisee TA, Hohenwalter MD, Wil son CR, Quiroz FA, Taylor AJ. Multiphase hepatic CT with a multirow detector CT scanner. AJR 2000;175:679 -685[Abstract/Free Full Text]
  4. Ji H, McTavish JD, Mortele KJ, Wiesner W, Ros PR. Hepatic imaging with multidetector CT. RadioGraphics2001; 21[spec no]:S71 -S80[Abstract/Free Full Text]
  5. Rubin GD. Data explosion: the challenge of multidetector-row CT. Eur J Radiol2000; 36:74 -80[Medline]
  6. Kamel IR, Georgiades C, Fishman EK. Incremental value of advanced image processing of multislice computed tomography data in the evaluation of hypervascular liver lesions. J Comput Assist Tomogr2003; 27:652 -656[Medline]
  7. Flannigan BD, Gomes AS, Stambuk EC, Lois JF, Pais SO. Intra-arterial digital subtraction angiography: comparison with conventional hepatic arteriography. Radiology1983; 148:17 -21[Abstract/Free Full Text]
  8. Brancatelli G, Federle MP, Katyal S, Kapoor V. Hemodynamic characterization of focal nodular hyperplasia using three-dimensional volume-rendered multidetector CT angiography. AJR2002; 179:81 -85[Abstract/Free Full Text]

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Am. J. Roentgenol.Home page
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