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AJR 2002; 178:827-831
© American Roentgen Ray Society


Pictorial Essay

Multidetector CT Angiography of Pancreatic Carcinoma

Part I, Evaluation of Arterial Involvement

Karen M. Horton1 and Elliot K. Fishman

1 Both authors: Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Medical Institutions, 601 N. Caroline St., Rm. 3253, Baltimore, MD 21287.

Received August 29, 2001; accepted after revision October 16, 2001.

 
Address correspondence to K. M. Horton.


Introduction
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Introduction
Technique
Discussion
References
 
The increasing availability of multidetector CT scanners is having a major impact on imaging. This new technology acquires true volume data sets that can be easily manipulated with three-dimensional imaging to provide more information than classic axial displays. Nino-Murcia et al. [1] recently described the value of multidetector CT in generating data sets that were ideal for curved planar reformations of the pancreas and bile duct system. Similarly, these same volume data sets are ideal for generating CT angiographic maps of the key vascular structures that are potentially involved with tumor extension. The presence of tumor involvement of vessels will, in most cases, make the patient ineligible for curative resection [2]. The purpose of this pictorial essay is to show the unique capabilities of this technique in the evaluation of key arterial structures and its value in imaging patients with suspected or known pancreatic cancer.


Technique
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Introduction
Technique
Discussion
References
 
All studies were performed on a Somatom Volume Zoom scanner (Siemens Medical Systems, Iselin, NJ) that used an adaptive detector array. Four slices were obtained during each 500-msec scan rotation. We used the 1-mm detectors that allowed us to reconstruct the data with a 1.25-mm scan thickness. Images were reconstructed at 1-mm intervals through the pancreas and liver. The scan parameters were 120 kVp and 140-180 mAs.

All arterial scans were obtained with a 25- to 30-sec scan delay after initiation of injection of 120 mL of iohexol-350 (Omnipaque; Nycomed Amersham, Princeton, NJ), at a rate of 3 mL/sec through a 19- to 20-gauge catheter placed in an antecubital vein. After reconstruction of the raw data, the scan data was transferred to the hospital imaging network to a 3D-Virtuoso workstation (Siemens Medical Systems). All image reconstructions were performed in real-time by a radiologist using both volume-rendering and maximum-intensity-projection techniques. Average time for creating the three-dimensional images was less than 5 min per patient. This pictorial essay is based on review of more than 100 individual cases and is limited to assessment of arterial involvement.


Discussion
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Introduction
Technique
Discussion
References
 
Criteria for Arterial Involvement
In the absence of obvious liver metastases or local tumor extension, tumor resectability will depend on the presence of vascular involvement. Involvement of important arteries (i.e., celiac axis, superior mesenteric artery, or splenic artery) will make surgical resection impossible. Isolated involvement of smaller branches such as the gastroduodenal artery will not preclude surgical resection. A CT grading system of vascular involvement has been reported by Lu et al. [2]. These authors prospectively graded vessel involvement using a 0- to 4-point scale based on circumferential contiguity of tumor to vessel and found that when more than 50% of the vessel circumference (grades 3 and 4) is in contact with a vessel, the tumor would not be resectable [2]. This criterion resulted in a sensitivity and specificity for unresectability of 84% and 98%, respectively [2]. However, in a more recent study of vascular encasement in pancreatic cancer by Nakayama et al. [3], using the same criteria as Lu et al., they suggested that a different criteria may be necessary when evaluating arteries and veins. In this study by Nakayama et al., a grade of 3 or 4 for portal venous involvement was also suggestive of unresectable disease [3]. However, these authors found that peripancreatic arteries such as the celiac axis, hepatic artery, and superior mesenteric artery are occasionally surrounded by fibrous tissue or inflammatory stranding; therefore, the criterion described by Lu et al. was not as helpful when applied to arteries [3]. With volume-rendering, we do not rely solely on the percentage of vessel surrounded by tumor but on direct visualization of vessel-caliber change and associated soft-tissue tumor (Figs. 1, and 2).



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Fig. 1. 45-year-old man with pancreatic cancer. Sagittal three-dimensional volume-rendered multidetector CT scan shows encasement (solid arrow) and invasion (open arrow) of proximal superior mesenteric artery.

 


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Fig. 2. 64-year-old woman with pancreatic cancer. Sagittal three-dimensional volume-rendered multidetector CT scan shows mass (arrow) between celiac axis and superior mesenteric artery. Cancer is causing mass effect on superior mesenteric artery. Note vessel is not narrowed. This tumor was successfully resected.

 

There continues to be significant limitations to viewing vessels in the standard axial plane. Axial images are typically not optimal for visualizing the course of the peripancreatic arteries that run perpendicular to the axial plane. In a study by Raptopoulos et al. [4], the authors found that CT angiograms were more accurate than axial images alone in revealing unresectable disease. They found that by adding the CT angiogram to the axial images alone, the negative predictive value of a resectable tumor was 96% compared with 70% for axial images alone.

Celiac Artery and Branch Vessels
The celiac artery and its major branches are often involved by pancreatic cancer, especially in larger tumors and in tumors of the pancreatic body and tail. Using interactive real-time rendering techniques, the radiologist placed a cut plane posteriorly and moved it anteriorly to the level at which the celiac axis and superior mesenteric artery arise off the aorta. We then viewed the course of the celiac axis, identifying any variations in vascular mapping from an anterior projection similar to that in a classic angiogram (Fig 3A,3B). The course of the key branch vessels including the splenic artery, the hepatic artery, and the gastroduodenal artery was clearly defined. Either maximum-intensity-projection CT or volume-rendering provides specific advantages, although on current workstations, it is easy to go back and forth between the two rendering techniques. Therefore, we can use both techniques in all patients, with minimal effort. To date, to our knowledge, no publication has documented any significant difference between volume-rendering and maximum-intensity-projection CT in determining vessel patency or invasion in pancreatic cancer, although it has been reported that volume-rendering is superior to maximum-intensity-projection CT for visualization of the pancreaticoduodenal arcades and dorsal pancreatic artery [5]. We prefer volume-rendering in most situations because it allows us to image both the tumor and the vascular map (Fig 4A,4B). Control of the specific imaging plane is optimized with volume-rendering as opposed to maximum-intensity-projection CT, which is a projection technique. Maximum-intensity-projection CT does provide a global perspective in cases of vessel occlusion and subsequent collateralization. Using multidetector CT volume data with 1.25-mm-thick sections at 1-mm intervals, we can now routinely define branch vessels like the gastroduodenal artery and the pancreatic arcade not just as cross-sectioned vessels but along the course of the vessels in their entirety (Figs. 5 and 6A,6B). One potential advantage of using a volume display is that we can detect vessel narrowing and invasion and not just tumor surrounding the vessel. This may be useful in the more accurate definition of vessel encasement.



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Fig. 3A. 45-year-old man with pancreatic cancer. Volume-rendered three-dimensional (3D) multidetector CT scan obtained in coronal projection shows normal anatomy of celiac axis and vessel branches in orientation similar to that on classic angiography. Note gastroduodenal artery (arrowhead), splenic artery (curved arrow), left gastric artery (open arrow), and hepatic artery (solid straight arrow).

 


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Fig. 3B. 45-year-old man with pancreatic cancer. Slightly oblique 3D axial image shows main branches of celiac axis: common hepatic artery (straight arrow) and splenic artery (curved arrow).

 


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Fig. 4A. 63-year-old woman with pancreatic cancer. Slightly oblique axial three-dimensional (3D) volume-rendered multidetector CT scan reveals mass (arrows) arising from body and tail of pancreas and extending posteriorly to involve left renal hilum. Mass caused delayed renal function seen as decreased cortical enhancement in left kidney.

 


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Fig. 4B. 63-year-old woman with pancreatic cancer. Coronal 3D volume-rendered multidetector CT scan shows mass (arrows) seen in A. In this orientation, mass is seen encasing splenic artery (arrowhead).

 


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Fig. 5. 62-year-old woman with small periampullary mass. Coronal maximum-intensity-projection CT scan shows normal gastroduodenal artery (arrow). Vessel is much easier to appreciate on coronal three-dimensional images than on axial CT images. No evidence of arterial encasement is seen.

 


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Fig. 6A. 73-year-old man with pancreatic cancer. Coronal three-dimensional (3D) volume-rendered multidetector CT scan shows mass (arrow) encasing gastroduodenal artery (arrowhead). This alone would not make patient ineligible for curative resection.

 


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Fig. 6B. 73-year-old man with pancreatic cancer. Coronal oblique 3D volume-rendered multidetector CT scan obtained during portal venous phase shows mass (arrows) encasing superior mesenteric artery and portal confluence (arrowhead). Venous involvement would make patient ineligible for curative resection.

 

Routine visualization of the origin of the celiac axis is also helpful in detecting vessel stenosis due to atherosclerotic plaque, which can be treated at the time of the Whipple procedure (Fig. 7).



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Fig. 7. 63-year-old man with pancreatic cancer. Axial oblique three-dimensional volume-rendered multidetector CT scan imaged from above shows calcified atherosclerotic plaque narrowing origin of celiac axis (arrow). No evidence of vascular invasion by tumor was present. Vascular bypass was performed at time of pancreatic resection.

 

Superior Mesenteric Artery
The superior mesenteric artery is the most common arterial vessel involved by carcinoma of the pancreas (Fig. 8A,8B). Its critical relationship to the head and body of the pancreas and the typical patterns of spread of the disease make it especially vulnerable to invasion and encasement (Fig. 9). Although many cases of vascular invasion are easy to diagnose, relying only on the axial display makes others more difficult. The displays that are ideal for the superior mesenteric artery (and celiac artery) are volume-rendering interactive displays and volume-rendering in the sagittal projection [6, 7]. An important advantage for CT angiography is that by creating an angiographic road map, anatomic variations can be recognized (Fig. 10A,10B).



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Fig. 8A. 62-year-old man with pancreatic cancer. Sagittal three-dimensional (3D) volume-rendered multidetector CT scan shows normal appearance of superior mesenteric artery (straight arrow) and celiac axis (curved arrow).

 


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Fig. 8B. 62-year-old man with pancreatic cancer. Coronal 3D volume-rendered multidetector CT scan shows normal branching pattern of superior mesenteric artery. These small vessels are almost impossible to confidently identify on axial scans.

 


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Fig. 9. 73-year-old woman with pancreatic cancer. Coronal three-dimensional volume-rendered multidetector CT scan shows pancreatic mass (arrows) encasing mid portion of superior mesenteric artery (arrowhead). Narrowed vessel is compatible with tumor invasion. This patient was not eligible for curative resection.

 


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Fig. 10A. 53-year-old man with pancreatic cancer. Axial three-dimensional (3D) volume-rendered multidetector CT scan shows tumor invasion (straight solid arrows) of superior mesenteric artery (curved arrow) and hepatic artery (open arrow).

 


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Fig. 10B. 53-year-old man with pancreatic cancer. Axial oblique 3D volume-rendered multidetector CT scan shows tumor encasing common hepatic artery (arrowhead) arising off celiac axis. Note encasement of replaced right hepatic artery (arrow) off superior mesenteric artery.

 

As previously noted, both volume-rendered images and maximum-intensity-projection CT—rendered images are valuable in the evaluation of the superior mesenteric artery and its branch vessels. With maximum-intensity-projection CT, vessels can be shown further along their course, although it has not been shown that there is any difference in accuracy between the two techniques. Because maximum-intensity-projection CT is based on projection of the brightest pixels along an array, it requires more editing than the volume display because overlapping vessels and bone cause obscuring of detail. For example, with volume-rendering, the aorta and spine do not necessarily need to be edited from the image volume. However, with maximum-intensity-projection CT, the aorta should be edited from the volume, or the proximal branching of the superior mesenteric artery and the celiac axis will be obscured (Fig. 11A,11B). As noted, in our experience we interactively alternate between the two displays with the volume-rendered display favored because one can define not only the vessel map but also the tumor itself.



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Fig. 11A. 52-year-old woman with abdominal pain. Three-dimensional (3D) volume-rendered multidetector CT scan shows that aorta and spine have not been removed. Superior mesenteric artery can be identified even though it is overlying aorta.

 


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Fig. 11B. 52-year-old woman with abdominal pain. Maximum-intensity-projection CT scan is in same orientation as A. Because maximum-intensity-projection is 3D technique that displays brightest pixel along array, aorta and spine will obscure mesenteric vessels, unless extensive editing is performed.

 

In conclusion, three-dimensional volume display of CT angiographic data sets provides a comprehensive display of the key arterial anatomy needed to properly determine resectability of pancreatic cancer. With the continued development of multidetector CT including the introduction of scanners with more detector rows allowing faster scanning and isotrophic data sets, the role and accuracy of CT angiography will continue to increase. The challenge will be to handle these large volume data sets in an interactive fashion. This should be possible as more powerful computer hardware is introduced to the medical market.


References
Top
Introduction
Technique
Discussion
References
 

  1. Nino-Murcia M, Jeffrey RB Jr, Beaulieu CF, Li KC, Rubin GD. Multidetector CT of the pancreas and bile duct system: value of curved planar reformations. AJR 2001;176:689 -693[Free Full Text]
  2. Lu DSK, Reber HA, Krasny RM, Kadell BM, Sayre J. Local staging of pancreatic cancer: criteria for unresectability of major vessels as revealed by pancreatic-phase, thin-section helical CT. AJR 1997;168:1439 -1443[Abstract/Free Full Text]
  3. Nakayama Y, Yamashita Y, Kadota M, et al. Vascular encasement by pancreatic cancer: correlation of CT findings with surgical and pathologic results. J Comput Assist Tomogr 2001;25:337 -342[Medline]
  4. Raptopoulos V, Steer ML, Sheiman RG, Vrachliotis TG, Gougoutas CA, Movson JS. The use of helical CT and CT angiography to predict vascular involvement from pancreatic cancer: correlation with findings at surgery. AJR 1997;168:971 -977[Abstract/Free Full Text]
  5. Hong KC, Freeny PC. Pancreaticoduodenal arcades and dorsal pancreatic artery: comparison of CT angiography with three-dimensional volume rendering, maximum intensity projection, and shaded-surface display. AJR 1999;172:925 -931[Abstract/Free Full Text]
  6. Novick SL, Fishman EK. Three-dimensional CT angiography of pancreatic carcinoma: role in staging extent of disease. AJR 1998;170:139 -143[Free Full Text]
  7. Horton KM, Fishman EK. 3D CT angiography of the celiac and superior mesenteric arteries with multidetector CT data sets: preliminary observations. Abdom Imaging 2000;25:523 -525[Medline]

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