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AJR 2005; 184:1194-1198
© American Roentgen Ray Society


Technical Innovation

Vascular Virtual Endoluminal Visualization of Invasive Colorectal Cancer on MDCT Colonography

Gen Iinuma1, Noriyuki Moriyama1, Mitsuo Satake2, Kunihisa Miyakawa2, Ukihide Tateishi2, Nachiko Uchiyama1, Takayuki Akasu3, Takahiro Fujii4 and Toshiaki Kobayashi5

1 Cancer Screening Division, Research Center for Cancer Prevention and Screening, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
2 Diagnostic Radiology Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
3 Colorectal Surgery Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
4 Endoscopy Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
5 Cancer Screening Technology Division, Research Center Cancer for Prevention and Screening, National Cancer Center, Chuo-ku, Tokyo, Japan.

Received October 22, 2003; accepted after revision August 10, 2004.

 
Supported in part by grants for Scientific Research Expenses for Health and Welfare Programs and the Foundation for the Promotion of Cancer Research and by the third-term Comprehensive 10-Year Strategy for Cancer Control from the Ministry of Health, Labor and Welfare.

Address correspondence to G. Iinuma.


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. The purpose of this study was to assess the utility of vascular views for visualization of invasive colorectal cancers on contrast-enhanced MDCT colonography.

CONCLUSION. By means of Hounsfield-transparency settings, we obtained virtual endoluminal images that show vascular structures and delineate invasive cancers of the colorectal wall, and we call these images "vascular views." Using this technique for contrast-enhanced MDCT colonography, we found that the increase in flow and pooling of blood related to angiogenesis of cancerous lesions is easy to identify and that this finding is useful in the detection of invasive colorectal cancers.


Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
CT colonography, a technique for visualizing colorectal lesions using 3D volumetric data generated by helical CT, has developed rapidly over the past several years [1, 2]. This method has been reported to be useful for improving the diagnosis of colonic polyps and is now being considered for colorectal cancer screening in the United States [3, 4]. This potential has been markedly enhanced by the advent of MDCT, which allows acquisition of entire images of the colorectum during a single breath-hold [5]. A major merit of MDCT is its high acquisition speed that can be used to cover large volumes with thin collimation, resulting in good spatial resolution and reduction of the partial volume effect artifact [6]. The thinness of the reconstructed axial CT slices has allowed an increase in the image quality of CT colonography to depict colonic tumors more accurately. Furthermore, in contrast-enhanced studies with MDCT, the ability to scan through the entire abdomen in 20 sec or less means that data for the whole colon can be acquired within the time generally regarded as the arterial-dominant phase.

Detection of lesions on CT depends on lesion size, slice thickness, and contrast differentiation [7]. By means of Hounsfield-transparency settings, we obtained virtual endoluminal images that show vascular structures and delineate invasive cancers of the colorectal wall, called "vascular views," on contrast-enhanced MDCT colonography. Using this technique, we found that the increase in flow and pooling of blood related to angiogenesis of cancerous lesions is easy to identify and that this is useful in the detection of invasive colorectal cancers.

The purpose of this study was to assess the utility of vascular views for the visualization of invasive colorectal cancers on contrast-enhanced MDCT colonography.


Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
From January to March 2002, 28 consecutive patients presenting with 30 invasive colorectal carcinomas underwent contrast-enhanced MDCT examinations at our hospital for preoperative staging. The series included 15 men and 13 women, ranging in age from 37 to 77 years (median, 60 years). Of these patients, 22 (78.6%) underwent MDCT after preoperative colonoscopic examinations with standard bowel preparation of up to 3 L of a polyethylene glycol-electrolyte solution, and the remaining six patients (21.4%) with advanced colorectal carcinomas underwent MDCT without preparation. Patients with rectal cancers underwent MDCT in the prone position, whereas a supine position was used for those with colon cancers. Before treatment, patients received muscular injection of anticholinergic drugs, and room-air insufflation via the anus was performed just before each scan.

Pathologic diagnosis with endoscopic biopsy or surgically resected specimens was confirmed in each case. All colonic tumors had been initially diagnosed at colonoscopy, and the presence and site of the lesion were known at the time of the CT examination.

CT colonography was performed on an MDCT scanner (Aquilion, Toshiba Medical Systems). The scans were obtained through the abdomen and pelvis with the following parameters: 120 kV, 250-350 mA with automatic exposure control [8], 4 rows x 2-mm collimation, and helical pitch of 5 (pitch factor, 1.25). All patients received an IV bolus injection of 150 mL of iohexol 350 (Omnipaque, Daiichi Pharmaceutical) with a power injector at a rate of 3 mL/sec through a 20-gauge plastic IV catheter placed in an antecubital vein, and the whole abdomen was scanned 50 sec after this introduction of contrast material during the arterial phase. All images were reconstructed at a thickness of 1 mm, and the slices were transferred to an image workstation (M900/Pegasus, AMIN) for generation of 3D images of each patient.

We used virtual endoluminal images obtained with Hounsfield-transparency settings in MDCT colonography to show a surface or vascular view of the colorectal wall on a videotape monitor (Figs. 1A, 1B, 1C, 2A, 2B, 2C, 2D, 3A, 3B, 3C, 3D, 4A, 4B, 4C, 4D, 5A, 5B, 5C, and 5D). Hounsfield-transparency settings are based on Hounsfield units, which are the CT attenuation values. First, we adjusted the CT monitor's transparency and opacity setting to a value of 1 to display only the contour of the lumen and the mucosa. Next, we adjusted the transparency and opacity setting to a value of 2 to display only the arterial-dominant blood with contrast medium. Third, we adjusted the spatial parameters to display only to a depth of 3 mm surrounding the lumen and the mucosa, which corresponds to the thickness of the intestinal wall. Fourth, we overlaid the data displayed in steps one through three to produce a surface and vascular view of the colorectal wall, and then we reduced the surface opacity to produce an unobstructed vascular view.



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Fig. 1A. Colonoscopic view and surface and vascular virtual endoluminal images for representative case of advanced colorectal cancer in 60-year-old woman. Colonoscopic view shows advanced cancer in sigmoid colon.

 


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Fig. 1B. Colonoscopic view and surface and vascular virtual endoluminal images for representative case of advanced colorectal cancer in 60-year-old woman. Surface virtual endoluminal image shows lesion.

 


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Fig. 1C. Colonoscopic view and surface and vascular virtual endoluminal images for representative case of advanced colorectal cancer in 60-year-old woman. Vascular virtual endoluminal image clearly shows blood pooling of tumor and vessels (arrow) in colorectal wall.

 


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Fig. 2A. 64-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Colonoscopic view shows small sessile lesion with central depression in lower rectum.

 


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Fig. 2B. 64-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Surface virtual endoluminal image clearly shows lesion, although it is less than 2 cm in diameter.

 


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Fig. 2C. 64-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Vascular virtual endoluminal image dramatically shows blood pooling of lesion in colorectal wall.

 


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Fig. 2D. 64-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Axial MDCT image also shows lesion (arrow) as polypoid mass in insufflated rectum.

 


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Fig. 3A. 50-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Colonoscopic view shows irregularly shaped sessile lesion with central ulceration in lower rectum.

 


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Fig. 3B. 50-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Surface virtual endoluminal image shows polypoid lesion.

 


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Fig. 3C. 50-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Vascular virtual endoluminal image clearly depicts blood pooling and small vessels (arrows) in colorectal wall.

 


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Fig. 3D. 50-year-old man with colorectal cancer who underwent MDCT after colonoscopy. Axial MDCT image shows lesion (arrow) as enhanced mass in wall.

 


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Fig. 4A. 59-year-old man with colorectal cancer who underwent MDCT without preparation. Colonoscopic view shows nodular protrusion in lower rectum.

 


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Fig. 4B. 59-year-old man with colorectal cancer who underwent MDCT without preparation. It is hard to recognize lesion in residual stool (arrows) on surface virtual endoluminal image.

 


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Fig. 4C. 59-year-old man with colorectal cancer who underwent MDCT without preparation. Vascular virtual endoluminal image successfully shows lesion as mass having blood pooling in colorectal wall.

 


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Fig. 4D. 59-year-old man with colorectal cancer who underwent MDCT without preparation. Axial MDCT image shows lesion (arrow) as enhanced mass in colorectal wall.

 


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Fig. 5A. 63-year-old man with colorectal cancer who underwent MDCT without preparation. Colonoscopic view shows large mass with central ulceration in upper rectum.

 


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Fig. 5B. 63-year-old man with colorectal cancer who underwent MDCT without preparation. Because of stool material, lesion cannot be identified on surface virtual endoluminal image.

 


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Fig. 5C. 63-year-old man with colorectal cancer who underwent MDCT without preparation. Vascular virtual endoluminal image dramatically distinguishes lesion from stool.

 


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Fig. 5D. 63-year-old man with colorectal cancer who underwent MDCT without preparation. Axial MDCT image shows lesion (arrow) as irregular thickening of rectal wall.

 

The workstation was also equipped with navigation software for virtual colonoscopy, and the two types of virtual endoluminal images were displayed on the monitor. Two radiologists retrospectively evaluated primary lesions using the virtual endoluminal images with or without the Hounsfield-transparency settings—first, with a conventional surface view and then with a vascular view. Consensus interpretations were rated against all clinical information, including the results of colonoscopy; pathologic findings from biopsy and surgically removed specimens served as the gold standard.


Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
In the 28 patients, a total of 30 invasive carcinomas were confirmed by the preoperative colonoscopic examinations. Of the 30 lesions, 18 were in the rectum, five in the sigmoid colon, four in the transverse colon, and three in the ascending colon. The number of lesions over 2 cm in diameter was 21 (70.0%). Of the total, 19 (63.3%) were well differentiated and 11 (36.7%) were moderately differentiated on histologic diagnosis.

Lesions showing invasion limited to the submucosal layer were defined as early invasive colorectal cancer, whereas invasion farther than the submucosal layer was characterized as advanced colorectal cancer. Among the 30 lesions, 23 (76.7%) were advanced colorectal cancer lesions and seven (23.3%) were early invasive colorectal cancer lesions. Invasive lesions larger than 2 cm are generally of more advanced stage, but four (44.4%) of nine small lesions, 2 cm or smaller, were found to be advanced colorectal cancer.

Of the 30 confirmed cancerous lesions, 22 were revealed on conventional surface virtual endoluminal images, whereas 28 could be identified with vascular views (Table 1). The respective figures for lesions 2 cm or smaller were 44.4% (4/9) and 77.8% (7/9). Of lesions larger than 2 cm, three (14.3%) of 21 were missed on surface virtual endoluminal images, but all could be visualized on the vascular views. Invasive lesions larger than 2 cm are generally considered to have high potential for malignancy. However, even with the small lesions (≤ 2 cm), almost half were advanced colorectal cancers, so the use of the vascular approach allowed identification of most lesions that should be treated as a high priority (Table 1).


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TABLE 1 Detection of Colorectal Lesions Using Conventional Surface Versus Vascular Views for Virtual Endoluminal Imaging with Lesions Categorized by Size

 

Of the 30 lesions, three of the seven early invasive colorectal cancer lesions were revealed on conventional surface virtual endoluminal images, whereas five of seven could be identified with vascular imaging. All 17 advanced colorectal cancer lesions in cases with preparation could be recognized on the surface and vascular virtual endoluminal images. This finding is especially noteworthy because among six advanced colorectal cancer lesions in patients without preparation, four (66.7%) were missed with the conventional surface approach, but all could be visualized on the vascular virtual endoluminal images (Table 2).


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TABLE 2 Detection of Colorectal Lesions Using Conventional Surface Versus Vascular Views for Virtual Endoluminal Imaging with Lesions Categorized by Severity of Invasion

 


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Amin et al. [9] first described the merits of dynamic contrast-enhanced CT study with the air-insufflation technique for the detection of colorectal cancers. Subsequently, the same group reported the value of contrast-enhanced CT colonography for the improvement of colorectal polyp detection [10]. With contrast-enhanced CT studies, the advent of MDCT allows acquisition of images of the entire abdomen during a single breath-hold, which is regarded as the arterial-dominant phase. The resulting thinner-collimated transverse images with blood flow information provide better-quality MDCT colonographic data than conventional CT, and these data should further increase the ability to detect not only colonic polyps but also invasive lesions more accurately. In addition, we can manipulate the 3D volumetric data on an image workstation with navigation software for virtual endoscopy or with various display modes including Hounsfield-transparency settings, such as the vascular views, to show information about the blood flow within and around the colorectal wall.

With conventional surface virtual endoluminal images of CT colonography, a surface is just that—a surface. However, as shown in this study, pooling of blood related to angiogenesis of invasive cancers and small vessels of the colorectal wall can be more clearly visualized with vascular views of within the colorectal wall. With the introduction of 16-MDCT scanners, the image quality of virtual endoluminal images is expected to improve even further; therefore, vascular views are going to be more and more in demand not only by radiologists and gastroenterologists, but also by patients who, we believe, will be happy that vascular views require no preparatory fasting, because vascular views are not confused by the absence or presence of stool.

Vascular views also have a great potential for using blood flow information to detect small invasive cancers with computer-aided diagnosis, which is expected to improve radiologists' and gastroenterologists' diagnostic performance enormously [11, 12]. We therefore believe that a focus on the blood supply with the vascular views should be used in conjunction with conventional surface virtual endoluminal images whenever diagnostic or screening contrast-enhanced MDCT is performed until safer contrast media are developed.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

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