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DOI: 10.1148/radiol.2291020561
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(Radiology 2003;229:109-118.)
© RSNA, 2003


Experimental Studies

Multi–Detector Row CT Colonography: Effect of Collimation, Pitch, and Orientation on Polyp Detection in a Human Colectomy Specimen1

Stuart A. Taylor, BSc, MRCP, FRCR, Steve Halligan, MD, MRCP, FRCR, Clive I. Bartram, FRCP, FRCS, FRCR, Paul R. Morgan, BSc, Ian C. Talbot, FRCPath, Nicola Fry, DCR, Brian P. Saunders, MD, FRCP, Kirosh Khosraviani, FRCS and Wendy Atkin, PhD

1 From the Departments of Intestinal Imaging (S.A.T., S.H., C.I.B., N.F.), Pathology (I.C.T.), Surgery (K.K.), and Endoscopy (B.P.S.) and the Cancer Research UK Colorectal Cancer Unit (S.H., B.P.S., W.A.), St Mark’s Hospital, Northwick Park, Watford Rd, Harrow, Middlesex HA1 3UJ, England; and General Electric Medical Systems, Slough, England (P.R.M.). Received May 10, 2002; revision requested June 14; final revision received February 5, 2003; accepted March 3. Address correspondence to S.H. (e-mail: s.halligan@ic.ac.uk).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: To investigate the effects of orientation, collimation, pitch, and tube current setting on polyp detection at multi–detector row computed tomographic (CT) colonography and to determine the optimal combination of scanning parameters for screening.

MATERIALS AND METHODS: A colectomy specimen containing 117 polyps of different sizes was insufflated and imaged with a multi–detector row CT scanner at various collimation (1.25 and 2.5 mm), pitch (3 and 6), and tube current (50, 100, and 150 mA) settings. Two-dimensional multiplanar reformatted images and three-dimensional endoluminal surface renderings from the 12 resultant data sets were examined by one observer for the presence and conspicuity of polyps. The results were analyzed with Poisson regression and logistic regression to determine the effects of scanning parameters and of specimen orientation on polyp detection.

RESULTS: The percentage of polyps that were detected significantly increased when collimation (P = .008) and table feed (P = .03) were decreased. Increased tube current resulted in improved detection only of polyps with a diameter of less than 5 mm. Polyps of less than 5 mm were optimally depicted with a collimation of 1.25 mm, a pitch of 3, and a tube current setting of 150 mA; polyps with a diameter greater than 5 mm were adequately depicted with 1.25-mm collimation and with either pitch setting and any of the three tube current settings. Small polyps in the transverse segment (positioned at a 90° angle to the z axis of scanning) were significantly less visible than those in parallel or oblique orientations (P < .001). The effective radiation dose, calculated with a Monte Carlo simulation, was 1.4–10.0 mSv.

CONCLUSION: Detection of small polyps (<5 mm) with multi–detector row CT is highly dependent on collimation, pitch, and, to a lesser extent, tube current. Collimation of 1.25 mm, combined with pitch of 6 and tube current of 50 mA, provides for reliable detection of polyps 5 mm or larger while limiting the effective radiation dose. Polyps smaller than 5 mm, however, may be poorly depicted with use of these settings in the transverse colon.

© RSNA, 2003

Index terms: Colon, CT, 75.1211 • Colon neoplasms, 75.311 • Computed tomography (CT), technology


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Colorectal cancers are thought to originate largely from adenomatous polyps. It is believed that the prompt detection and removal of these polyps can prevent the subsequent development of malignancy at the polyp sites (1). Computed tomographic (CT) colonography is a relatively new technique that shows promise for accurate polyp detection and colon cancer screening (2). The risk of cancer developing at the polyp site increases with increasing polyp size, but there is controversy regarding the minimum polyp size for which the potential benefits of polypectomy outweigh the risks. While many radiologists favor a threshold of 1 cm (3), gastroenterologists have argued that smaller polyps also should be removed if unfavorable morphologic and histologic features are present; indeed, some have advocated total polyp clearance (1).

Whereas the sensitivity of CT colonography for the detection of polyps larger than 1 cm exceeds 90% (2,4), polyps of 5 mm and smaller are less frequently detected, with reported sensitivities ranging from only 8% to 60% (59). Most investigators in these previously reported studies used single–detector row scanners, generally with a collimation of either 3 or 5 mm, although some attempted to simulate thin-section multi–detector row CT colonography (10). With the introduction of multi–detector row scanners, enhanced detection of smaller lesions has become possible, but clinical studies thus far have focused on the detection of large polyps (11,12). The purpose of this study was to investigate the effects of orientation, collimation, pitch, and tube current on the detection of adenomatous polyps at multi–detector row CT colonography and to determine the optimal scanning parameters for colon screening.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Phantom Study
Specimen and preparation.—The polyposis registry at our hospital was used to identify patients with familial adenomatous polyposis (13) who were scheduled to undergo colectomy. A suitable candidate for the study was selected on the basis of findings at the patient’s most recent colonoscopy. For the purposes of this study, a colon was deemed suitable if it contained a moderate number of polyps (approximately 100) ranging in size from 1 to more than 10 mm. Our institutional review board approved the study, and fully informed written consent was obtained from the patient (a 16-year-old male) and his parents for examination of the excised tissue. To ensure that the study would not interfere with the process of histologic diagnosis, the imaging experiment was completed within 3 hours of colectomy.

At surgery, a standard subtotal colectomy was performed with ileorectal anastomosis, leaving a rectal stump. The colectomy specimen was immediately cleaned in the operating room with 0.9% saline solution, and as much residual luminal fluid as possible was drained. The distal sigmoid lumen was then securely closed with 2/0 prolene sutures to ensure an airtight seal. An 18-F Foley urinary catheter was inserted through the terminal ileal remnant, and the retention balloon was fully inflated with water. The catheter was withdrawn to ensure that the inflated balloon was positioned snugly against the ileocecal valve, and then the catheter was sutured in place. The colon was measured and divided into four segments (sigmoid, descending, transverse, and ascending) of approximately equal length. The junction between these segments was identified by 2/0 prolene sutures stitched through the outer colonic wall. Each suture line was marked with three superficial surgical skin staples (Proximate PX35; Ethicon Endo-Surgery, Cincinnati, Ohio) at intervals around the circumference of the colon; the staples provided radiopaque markers for segment identification during subsequent CT analysis. An insufflation bulb was attached to the Foley catheter and the specimen was distended gently to ensure that no leakage of air would occur during transfer to the CT suite. These procedures were performed by one of the surgeons who had performed the colectomy (K.K.).

In the CT suite, the specimen was placed in a plastic container containing 20 L of 0.9% saline solution to which had been added 60 mL diatrizoate meglumine containing 370 mg of iodine per milliliter (Gastrografin; Schering Health Care, Burgess Hill, West Sussex, England), providing an average attenuation of 36 HU (SD, ±6 HU), similar to that of abdominal tissue (14). Next, the colon specimen was insufflated with room air until all segments were dilated to at least 5 cm external diameter. The specimen then was arranged in the container to mimic the geometric relationships between each colonic segment in vivo (Fig 1) and was submerged in the saline bath by means of a cardboard sheet weighted with 1-L bags of normal saline solution.



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Figure 1. Colectomy specimen prior to submersion in 20 L of normal saline solution containing 60 mL diatrizoate meglumine. The Foley catheter (arrow) used for insufflation has been inserted into the ileocecal valve.

 
CT scanning.—The phantom was imaged with a multi-detector row CT scanner (LightSpeed Plus; GE Medical Systems, Milwaukee, Wis). Two collimations—1.25 and 2.5 mm—were used, with a gantry rotation time of 0.8 second. For each collimation, scans were obtained with tube current settings of 50, 100, and 150 mA and with pitch settings of 3 (ie, "high-quality mode," with table feed of either 3.75 or 7.5 mm per rotation) and 6 (ie, "high-speed mode," with table feed of either 7.5 or 15 mm per rotation). Twelve sets of data resulted from the different combinations of collimation, pitch, and tube current. Data were reconstructed to provide a 50% overlap between sections (ie, overlap of 0.6 mm for scanning with 1.25-mm collimation, and of 1.2 mm for scanning with 2.5-mm collimation). The colon was not reinflated prior to or during scanning, as distention was judged sufficient on the basis of scout images. The data from scanning were transferred to a workstation (Advantage Windows 4.0; GE Medical Systems) equipped with manufacturer-supplied CT colonographic software (Navigator 2, Virtual Dissection; GE Medical Systems) capable of producing two-dimensional multiplanar reformatted images and three-dimensional endoluminal surface renderings from each data set. Values for effective radiation dose were estimated by using a Monte Carlo simulation of CT scanning in a hypothetical patient with the designated parameters and a total scan length of 35 cm.

Pathologic examination.—After CT scanning, the resected specimen was examined by an experienced gastrointestinal histopathologist. Each of the four colonic segments was identified by means of the external sutures and staples. The average length of the segments was 12.9 cm (range, 11.5–14.6 cm). The specimen was opened and examined under a handheld magnifying lens. Polyps identified were measured in situ with fine calipers; polyp size was given as the diameter of the polyp at its largest point. A total of 117 polyps ranging in size from 1 to 15 mm were counted in the four segments examined (Table 1). Polyps located on the suture line were included in the count.


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TABLE 1. Polyp Size and Number at Pathologic Assessment in the Four Colonic Segments Studied

 
Image correlation.—To facilitate polyp-to-polyp correlation, the CT data sets were analyzed by an independent radiologist using software (Virtual Dissection) that rendered both a conventional endoluminal view and a flattened projection of the luminal surface, simulating the arrangement of the dissected specimen at pathologic evaluation. The independent radiologist attempted to match the polyps depicted on endoluminal surface renderings and flattened projection images with polyps identified in the four colonic segments at pathologic examination. Strategies used to match the polyps included measurement of the distance between a polyp and the suture line or other histologic landmark, such as a haustral fold. Unique shape, large size, and configuration of polyps in clusters also facilitated polyp-to-polyp correlation between multi–detector row CT images and the corresponding surgical specimen (Fig 2). The correlation procedure both ensured that polyps detected on CT images actually were present in the specimen and enabled accurate measurement of their size. In cases in which it was not possible to exactly match individual polyps depicted at multi–detector row CT with a corresponding polyp in the specimen—for example, where there were clusters of several small polyps—the polyp nearest in size and in the immediate vicinity was chosen. Polyps identified at multi–detector row CT in an area of the colon found free of polyps at histopathologic assessment, and polyps differing in diameter at image correlation by more than 50% from the measurement recorded at pathologic assessment, were classified as false-positive findings.



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Figure 2a. Correlation between the pathologic specimen and the corresponding CT image data. (a) Short section of the sigmoid segment from the colectomy specimen shows a cluster of large polyps (arrows). (b) Endoluminal CT colonographic image of the same sigmoid segment, rendered as an opened and flattened projection (ie, virtual dissection). The same cluster of large polyps is well demonstrated (arrows), allowing polyp-to-polyp correlation with the pathologic specimen.

 


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Figure 2b. Correlation between the pathologic specimen and the corresponding CT image data. (a) Short section of the sigmoid segment from the colectomy specimen shows a cluster of large polyps (arrows). (b) Endoluminal CT colonographic image of the same sigmoid segment, rendered as an opened and flattened projection (ie, virtual dissection). The same cluster of large polyps is well demonstrated (arrows), allowing polyp-to-polyp correlation with the pathologic specimen.

 
Image Analysis
After image-to-specimen correlation was completed, the CT data sets were analyzed by an experienced gastrointestinal radiologist (S.H.) who was unaware of the number and size of polyps in each segment and of the CT scanning parameters used. Each of the four colonic segments was identified on the transverse image by the principal investigator, by means of the radiopaque staples. The observer was then asked to examine each segment for polyps by using both the two-dimensional multiplanar reformatted images and the three-dimensional mucosal surface renderings. The reviewer was free to change both the window used to obtain the two-dimensional images and the threshold value used to obtain the endoluminal surface renderings. The reviewer noted visible polyps and graded their conspicuity on a three-point scale adapted from Dachman et al (14), with one point signifying faint visibility and a possible polyp, two points signifying fair visibility and a probable polyp, and three points signifying very good visibility and a definite polyp. The maximum dimension of each polyp detected was measured with software calipers on the endoluminal surface rendering. The principal investigator recorded all results as each segment was analyzed. The images were analyzed at several sittings over 16 weeks, in order of anticipated worst resolution (images obtained with collimation of 2.5 mm, tube current of 50 mA, and pitch of 6) to best resolution (images obtained with collimation of 1.25 mm, tube current of 150 mA, and pitch of 3), to avoid the possibility of recall bias arising from prior viewing of higher-resolution data sets.

Statistical Analysis
Statistical analysis was performed by using statistical software (Stata version 7.0; Stata, College Station, Tex). The number and conspicuity of polyps found in each segment at CT colonography with each combination of scanning parameters were compared with the findings at histologic evaluation of the specimen as follows: The effect of each of the three scanning parameters (collimation, pitch, and tube current) on polyp detection was assessed, and any interactions between them were investigated by using Poisson regression with robust standard errors to account for the effect of repeated observations. Data then were re-analyzed for two size groups (polyps with diameters <5 mm and polyps with diameters >=5 mm) to determine the effect of polyp size. To assess the effect of colonic segment orientation with regard to the z axis at scanning, we grouped data for polyps in the ascending colon with those for polyps in the descending colon (ie, polyps in both segments longitudinal to the z axis, ie, at an angle of 0°) and compared the percentage of polyps detected in these two segments with the percentages detected in the transverse colonic segment (at a 90° angle to the z axis) and the sigmoid colonic segment (at a 45° angle, oblique to the z axis). Because the numbers and sizes of polyps present in the specimen differed among orientations, the percentage of polyps detected was calculated separately for each orientation. For logistic regression analysis, the percentage of polyps detected was expressed as a binary variable (ie, <50% or >=50%). The dividing line of 50% was chosen because it created two groups of polyps approximately equal in number. In the overall analysis of polyp detection in the 12 data sets, standard errors again were used to take account of repeated observations. To account for differences in the distribution of polyp sizes among orientations, polyp size (<5 or >=5 mm) was included as a variable in the regression analysis. Results were expressed, where appropriate, as odds ratios (ie, the odds of detection for one variable as opposed to another variable). A P value of less than .05 was considered to indicate a statistically significant difference.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Polyp Detection
Polyps of 1 mm were detected in only one of the 12 data sets (the set obtained with a collimation of 1.25 mm, table feed of 3.75 mm, and tube current of 150 mA), and only three (4%) of the 79 polyps of this size were detected. The inclusion of polyps of 1 mm in the analysis resulted in a detection rate of just 17 (17%) of 100 polyps smaller than 5 mm, even with the optimal combination of parameters (ie, collimation of 1.25 mm, table feed of 3.75 mm, and tube current of 150 mA). For this reason, polyps of 1 mm were omitted from further analysis. For ease of data presentation, the remaining polyps were classified into three groups according to size (2–4, 5–9, and 10 mm or larger). The detection rate for each group is shown in Figures 35. Generally, polyps of less than 5 mm were detected with increasing frequency when table feed and collimation were decreased: Four (19%) of 21 polyps were detected with a collimation of 2.5 mm, table feed of 15 mm, and tube current of 150 mA. The number detected increased to 14 (67%) of 21 with a collimation of 1.25 mm, table feed of 3.75 mm, and tube current of 150 mA (Figs 3, 6). There was a small increase in the percentage of 5–9-mm polyps detected, from eight (73%) of 11 with a collimation of 2.5 mm, table feed of 15 mm, and tube current of 150 mA, to nine (82%) of 11 with a collimation of 1.25 mm and with table feed and tube current remaining constant. However, five (83%) of the six polyps measuring 6–9 mm were detected with all but two parameter combinations. One 6-mm polyp, located behind a haustral fold, was not detected prospectively by the observer on any of the images but was rated "well depicted" at retrospective review (Fig 7). All six polyps larger than 10 mm were detected with all but three of the 12 parameter combinations. There were two false-positive findings.



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Figure 3. Bar graph shows the detection rate for polyps of 2-4 mm (n = 21) across the 12 CT data sets. All parameters had a significant effect on detection of polyps in this size category.

 


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Figure 4. Bar graph shows the detection rate for polyps of 5-9 mm (n = 11) across the 12 CT data sets.

 


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Figure 5. Bar graph shows the detection rate for polyps of 10-15 mm (n = 6) across the 12 CT data sets. Allowing for perceptual error, there was no difference in the rate of detection across the parameters tested.

 


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Figure 6a. Increased polyp detection with improving CT parameters. (a) Endoluminal colonographic image rendered from a CT data set acquired with a collimation of 2.5 mm, pitch of 6, and tube current of 50 mA. A 4-mm sessile polyp is barely visible (arrow). (b) Endoluminal colonographic image of the same section of colon rendered from a CT data set acquired with a collimation of 1.25 mm, pitch of 3, and tube current of 150 mA. The 4-mm polyp is now well depicted (curved arrow), and an additional 2-mm polyp also is visible (open arrow).

 


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Figure 6b. Increased polyp detection with improving CT parameters. (a) Endoluminal colonographic image rendered from a CT data set acquired with a collimation of 2.5 mm, pitch of 6, and tube current of 50 mA. A 4-mm sessile polyp is barely visible (arrow). (b) Endoluminal colonographic image of the same section of colon rendered from a CT data set acquired with a collimation of 1.25 mm, pitch of 3, and tube current of 150 mA. The 4-mm polyp is now well depicted (curved arrow), and an additional 2-mm polyp also is visible (open arrow).

 


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Figure 7. Endoluminal CT colonographic image of the transverse colonic segment. A 6-mm polyp (arrow) is situated behind a haustral fold. This polyp was missed by the observer during the prospective interpretation but was well depicted in all 12 CT data sets interpreted retrospectively.

 
Effect of Collimation, Pitch, and Tube Current Settings
There was no evidence of statistically significant interaction between collimation, pitch, and tube current settings; essentially identical results were obtained when each parameter was considered individually and when all three parameters were incorporated into a single model by means of Poisson regression. The polyp prevalence rate (polyp count), unadjusted for polyp size, was significantly increased when collimation (P = .008) and table feed (P = .03) were decreased, but tube current had no significant effect on detection (P = .15). On average, 50% more polyps were detected at a collimation of 1.25 mm than at 2.5 mm, and more than 30% more polyps were detected at a pitch of 3 than at a pitch of 6.

When data on polyp detection were analyzed according to polyp size (<5 or >=5 mm), there was a statistically significant interaction between the size of polyp detected and the collimation and table feed, and less significant interaction with tube current (Table 2). Furthermore, reduced table feed and increased tube current had a positive effect on detection only of polyps smaller than 5 mm (Table 2, Figs 810). The effect of both collimation and table feed was the same in the results of regression analysis. Thus, polyps smaller than 5 mm were optimally depicted with a collimation of 1.25 mm, pitch of 3, and tube current of 150 mA, while larger polyps were adequately depicted with a collimation of 1.25 mm combined with any of the pitch and tube current settings used.


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TABLE 2. Effect of Collimation, Pitch, and Tube Current on Polyp Detection for Polyps Smaller than 5 mm and Polyps 5 mm or Larger

 


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Figure 8. Graph shows the effect of collimation on polyp detection according to polyp size. The odds ratio ({blacksquare}), which is given with 95% CI, is the odds of detection at a collimation of 1.25 mm in comparison with the baseline odds of detection at a collimation of 2.5 mm. The odds of polyp detection were significantly greater with a 1.25-mm collimation for both polyp groups, although the effect was much larger for polyps of less than 5 mm.

 


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Figure 9. Graph shows the effect of pitch on polyp detection according to polyp size. The odds ratio ({blacksquare}), which is given with 95% CI, refers to the odds of detection at a pitch of 3 in comparison with the baseline odds of detection at a pitch of 6. The odds of polyp detection were significantly greater with a pitch of 3 for polyps of less than 5 mm, but no significant effect was observed for detection of polyps of 5 mm or greater.

 


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Figure 10. Graph shows the effect of tube current on polyp detection according to polyp size. The odds ratio ({blacksquare}), which is given with 95% CI, refers to the odds of detection with a tube current of 100 or 150 mA in comparison with the baseline odds of detection with 50 mA. The odds of detecting polyps of less than 5 mm were significantly greater with a tube current of 150 mA, but tube current had no significant effect for detection of polyps of 5 mm or greater.

 
The effect of the different scanning parameters on polyp conspicuity is shown in Figures 11 and 12. In general, for small polyps (<5 mm), additional polyps detected with improving parameters tended to be polyps of grade 1 conspicuity, whereas previously detected polyps tended to increase in conspicuity (Fig 13). Most polyps of 5 mm or larger were graded as definitely present (grade 3), regardless of the previously described variations in scanning parameters (Fig 12).



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Figure 11. Bar graph shows the conspicuity of polyps of 2-5 mm (n = 26) across the 12 CT data sets. White bars = polyp faintly depicted and possibly present (grade 1), gray bars = polyp fairly well depicted and probably present (grade 2), black bars = polyp very well depicted and definitely present (grade 3). In general, additional polyps detected with improving parameters tended to be grade 1 in conspicuity, whereas previously detected polyps increased in conspicuity grade.

 


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Figure 12. Bar graph shows the conspicuity of polyps of 6-15 mm (n = 12) across the 12 CT data sets. Gray bars = polyp fairly well depicted and probably present (grade 2), black bars = polyp very well depicted and definitely present (grade 3). Practically all polyps of 5 mm or more were rated as very well depicted (grade 3), regardless of the technical parameters used.

 


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Figure 13a. Increased polyp conspicuity with improving CT parameters. (a) Endoluminal colonographic image rendered from a CT data set acquired with a collimation of 2.5 mm, pitch of 6, and tube current of 50 mA. A 3-mm polyp (arrow) on a haustral fold was assigned grade 1 conspicuity (ie, rated as faintly depicted and possibly present). (b) Corresponding endoluminal colonographic image rendered from a CT data set acquired with a collimation of 1.25 mm, pitch of 3, and tube current of 150 mA. On this image, the 3-mm polyp (arrow) was very well depicted and therefore was assigned grade 3 conspicuity.

 


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Figure 13b. Increased polyp conspicuity with improving CT parameters. (a) Endoluminal colonographic image rendered from a CT data set acquired with a collimation of 2.5 mm, pitch of 6, and tube current of 50 mA. A 3-mm polyp (arrow) on a haustral fold was assigned grade 1 conspicuity (ie, rated as faintly depicted and possibly present). (b) Corresponding endoluminal colonographic image rendered from a CT data set acquired with a collimation of 1.25 mm, pitch of 3, and tube current of 150 mA. On this image, the 3-mm polyp (arrow) was very well depicted and therefore was assigned grade 3 conspicuity.

 
Effect of Specimen Orientation on Polyp Detection
A comparison of findings according to specimen segment orientation revealed a significant difference in the number of polyps detected (P < .001, Table 3). In the transverse orientation, a polyp detection rate greater than 50% for polyps of a particular size group was achieved by the blinded reviewer only for polyps of one of the five size groups depicted and only on one of the 12 data sets. In other words, only one (2%) of 60 chances to detect more than 50% of the polyps of a particular size group present in the transverse segment resulted in that rate of detection, compared with 45 (62%) of 72 chances in the combined longitudinal segments and 83 (77%) of 108 chances in the oblique segment. A comparison of orientations for the presence of polyps grouped according to size (ie, <5 or >=5 mm) revealed that four (67%) of the six polyp sizes (1, 2, 3, 4, 5, and 6 mm) present in the longitudinal orientation were smaller than 5 mm, as were three (60%) of five sizes (1, 2, 3, 5, and 6 mm) in the transverse orientation and two (22%) of nine sizes (1, 3, 5, 6, 7, 9, 10, 11, and 15 mm) in the oblique orientation—indicating an uneven distribution of polyp sizes across the three orientations studied. To account for this effect, polyp size was considered in the analysis for interactions with orientation; collimation and table feed were subsequently included in this analysis because they had been shown to affect the overall polyp detection rate. The adjusted polyp detection rate was approximately three times lower in the oblique orientation because fewer small polyps were present in this segment than in the others (Table 4). There was no significant interaction between orientation or segment and polyp size, however; the differences between orientations were equivalent for polyps of differing sizes (although the transverse colon contained no polyps larger than 6 mm). Adjustments for table feed and collimation had little effect on the odds ratio of polyp detection in a particular orientation. The number of polyps observed was significantly greater in all orientations, however, with a collimation of 1.25 mm and a table feed of 3.75 mm—a finding that is consistent with the results obtained when orientation was not factored into the analysis. Again, the probability of observing more than 50% of the existing polyps of any given size was much lower for the transverse orientation than for the other two. The detection rate for polyps of 2–4 mm in each orientation, averaged across all 12 data sets, is shown in Figure 14, which illustrates the poor performance in the transverse orientation.


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TABLE 3. Effect of Specimen Orientation on Polyp Detection, Unadjusted for Polyp Size and Scanning Parameters

 

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TABLE 4. Effect of Specimen Orientation on Polyp Detection, Adjusted for Polyp Size and Scanning Parameters

 


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Figure 14. Bar graph shows the average detection rate for polyps of 2-4 mm across the 12 data sets by specimen orientation. The average numbers of polyps detected were five of 11 in the longitudinal orientation, one-fourth of six in the transverse orientation, and two of four in the oblique orientation. These results confirm that performance was poor in the transverse orientation (ie, with the colon parallel to the CT gantry).

 
Effective Radiation Dose
Effective section thickness and effective dose are detailed in Table 5. The estimated dose ranged from 1.4 to 10.0 mSv.


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TABLE 5. Calculated Effective Section Thickness and Dose for the Different Parameter Combinations

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In this study, we assessed the technical accuracy of multiple–detector row CT colonography performed under ideal conditions. We used a human colon as a phantom for several reasons. First, it is probably the best possible simulation of the configuration and caliber of the in vivo colon. Furthermore, the colon we used contained real adenomatous polyps rather than reproductions. Moreover, the polyp size varied from 1 to 15 mm, allowing us precisely to investigate the effect of technical scanning parameters on detection, particularly on that of small polyps (<5 mm). The simulation was enhanced by the fact that the reviewer was unaware of the number and size of polyps present, as would be the case in an examination in vivo.

We found that both collimation and pitch had a significant effect on the polyp detection rate, which, when unadjusted for size, was 50% higher at 1.25 mm collimation than at 2.5 mm and 30% higher at pitch 3 than at pitch 6. This effect was most marked for polyps of less than 5 mm, for which a small but significant improvement in detection also occurred with increased tube current. However, for polyps of 5 mm or larger, the effect of pitch on detection was insignificant, and the benefit of decreased collimation, although significant, was small, resulting in a 7% improved detection rate. This finding is important because CT colonography, to be as effective as endoscopic colonoscopy, must depict polyps reliably at the 5-mm threshold.

Specimen orientation also seems to play an important part in polyp conspicuity. Interestingly, even after correcting for the different distribution of polyp sizes across segments, we found that significantly fewer polyps had been detected in the transverse segment. This finding has important implications, because it was suggested previously that CT colonography could be used to examine the part of the colon that is reachable with a flexible endoscope (15)—largely, the transverse colon. A possible explanation for the decrease in conspicuity in the transverse orientation is the worsening resolution along the z axis compared to that in the x-y plane. For example, the measurement of a voxel in the x-y plane will equal the field of view divided by 512—usually, about 0.6 mm. In contrast, the z-axis dimension is dependent on section thickness—for example, 1.25 or 2.5 mm, depending on the scanning protocol. Furthermore, rippling artifacts tend to occur along the z axis because of the interpolation of inconsistent data resulting from the angulation of the colon with respect to the longitudinal axis. Whiting et al (16) found increased rippling artifacts with increasing angle relative to the z axis and increasing pitch, such that the depiction of sessile polyps decreased. Although we did not quantify the effect of this artifact in the present study, it might have degraded the conspicuity of sessile polyps in the transverse orientation. The best detection rate occurred in segments running along the z axis (ascending and descending colon), and although the odds of detection were three times lower in the oblique (sigmoid) orientation, the difference in detection rate was not statistically significant.

Investigators in previous phantom studies used single–detector row technology and artificial or animal colons (14, 1618). Nonetheless, our findings are in general agreement with previously published findings. In evaluating artificially created polyps in a pig colon, Dachman et al (14) found that conspicuity decreased with increasing pitch and collimation, particularly on three-dimensional reconstructions. In contrast to our findings, phantom orientation did not affect polyp conspicuity, possibly because polyps were generally spherical and had a diameter of at least 3 mm. Investigators in another study of pig colon assessed the prevalence of adverse CT artifacts over a range of scanning parameters and found that smoothing became more evident with increasing collimation, whereas stair-step artifacts and longitudinal distortion were more dependent on increasing pitch (17). However, when they used collimation and pitch combinations similar to those used in our study, those investigators found that such artifacts were generally unimportant. Other researchers have used gas-filled plastic tubing to simulate the colon (16,18). Using this approach, with a collimation of 5 mm and pitch of 2, Beaulieu et al (18) found significantly worse detection for 2.5-mm polyps when the phantom was positioned parallel to the CT gantry—that is, in the same orientation as the transverse colonic segment in the present study. Our results suggest that this relative disadvantage persists even when narrower collimations and multi–detector row technology are used.

Although the general effects of collimation and pitch in the present study are consistent with effects found in previous phantom studies, the absolute level of detection of small polyps was lower. Only when a collimation of 1.25 mm was combined with a pitch of 3 did the rate of detection of 2–4-mm polyps increase beyond 50%. In contrast, both Dachman et al (14) and Beaulieu et al (18) found that polyps of this size were depicted, albeit faintly, with much wider collimations (7 and 5 mm, respectively). Similarly, our level of detection of small polyps with a collimation of 2.5 mm was lower than detection rates in other clinical studies, in which the rate of detection of polyps 5 mm or smaller was more than 50% with a collimation of 3 mm or more (2,4). To achieve good depiction of polyps without substantial distortion, the effective section thickness should be less than half of the polyp size. Indeed, in our own clinical practice we have frequently seen 2-mm polyps very well depicted with a collimation of 2.5 mm and pitch of 6. The relatively low level of depiction in this study is likely due to the particular colectomy specimen used. Unlike artificially produced phantom polyps and most naturally occurring adenomatous polyps, the tiny polyps in polyposis coli tend to form a shallow carpet throughout the entire colon, with larger polyps intermittently interspersed. Although our observer was aware that the specimen was from a subject with familial adenomatous polyposis, he was unaware of the number, size, and location of the polyps, and he detected 1-mm polyps in only one of the 12 data sets. If 1-mm polyps had been included in our polyp grouping for analysis, the rate of detection of polyps of 1–4 mm would have been only 17% even with the most sensitive parameter combination. The tiniest polyps, which appear as a fine mucosal nodularity, are essentially beyond the resolution capabilities of currently available multi–detector row CT scanners; such lesions, however, are of doubtful clinical importance. Similarly, many 2- and 3-mm polyps were flat and therefore lacked conspicuity. In contrast, our detection rate of polyps of 5 mm or larger approached 100%, with only sporadic failures that were due to perceptual errors and not to any shortcomings of the imaging technique. Interestingly, although the observer was experienced in the clinical use of two-dimensional images for interpretation and of three-dimensional images for problem solving, he relied almost solely on three-dimensional images when searching for the smallest polyps, which seemed more readily disclosed by the three-dimensional images. Nevertheless, the observer repeatedly missed one of three 6-mm polyps, which was well depicted on images from all 12 data sets but was partially concealed by a fold. In contrast, a nodular thickened fold that was observed on images of the ascending colon and identified as a 20-mm flat adenomatous lesion, and another feature observed on images of the transverse colon and identified as a 10-mm flat lesion, were not actually present in the specimen. These false-positive findings may have resulted from inadequate distention of or residue retained in the colon specimen.

There are few published studies of the use of multi–detector row CT for polyp detection. The results of a study performed by Hara et al (12) showed no significant difference between multi–detector row CT and single–detector row helical CT in this regard, but only polyps of 10 mm or greater were studied. Rogalla et al (10) investigated the theoretical effect of changing collimation on polyp detection by reconstructing 1-mm data sets at various section thicknesses; sensitivity for polyps measuring 3–5 mm decreased from 96% at a 1-mm section thickness to 74% at a 5-mm section thickness.

We detected a much greater number of small polyps (<5 mm) at a collimation of 1.25 mm, a table feed of 3.75 mm (pitch of 3), and a tube current of 150 mA. Unfortunately, the associated dose penalty is prohibitive, with an effective dose of 20.0 mSv for combined supine and prone scanning. Even if polyps are adenomatous, it may be safer to leave them in situ, because their malignant potential is likely outweighed by the risks associated with polypectomy (3). Furthermore, the scanning times associated with such a protocol lead to breathing artifacts. In the context of a screening program, a compromise between detection, dose, and image quality will be necessary. The results of our study suggest that a collimation of 1.25 mm, table feed of 7.5 mm (pitch of 6), and tube current of 50 mA will not degrade the detection of polyps of 5 mm or greater under ideal conditions; the effective dose for combined supine and prone scans with these parameters is 3.4 mSv, which is lower than that incurred during the acquisition of a standard abdominopelvic CT scan (6–24 mSv) (19) or barium enema study (6.4 mSv) (20). Furthermore, one could consider increasing collimation to 2.5 mm, because a collimation of 1.25 mm resulted in the detection of only 7% more polyps of 5 mm or larger; even a modest increase in detection rate, however, could be clinically important in the context of a screening program. Although we used dilute contrast material with an attenuation of 36 HU to simulate pericolonic tissues, it may be that differing body habitus would require a tube current greater than 50 mA to reproduce our results in vivo. Investigators nonetheless have found no loss of conspicuity in vivo at an effective tube current of 70 mA (21), and some have reported the successful use of a current of 10 mA (22).

Practical applications: We have shown that the detection of small polyps (<5 mm) in an optimally cleansed and distended human colon with the use of multi–detector row CT colonography is highly dependent on collimation, table feed, and, to a lesser extent, tube current. Polyps of 1 mm, however, are not well depicted with this technique. In contrast to the depiction of small polyps, that of larger polyps is less dependent on technical factors such as imaging parameters. A protocol that includes a collimation of 1.25 mm, pitch of 6, and tube current of 50 mA is a reasonable compromise between the concerns for patient dose and for polyp detection; polyps of 5 mm or larger are reliably detected with these parameters. Increases of collimation and of table feed to 2.5 and 15 mm, respectively, would reduce the occurrence of respiratory artifacts and produce only a small decrease in the rate of detection of polyps of 5 mm or larger. Small polyps in the transverse colon may be much less well depicted with multi–detector row CT colonography than those in other colonic segments.


    ACKNOWLEDGMENTS
 
The authors thank Robin K. Phillips, Gordon Buchanan, and Kay Neale for their help with the colectomy specimen, and Paul Bassett for statistical advice.


    FOOTNOTES
 
S.H. has a research agreement with GE Medical Systems, which in return provides some salary support for researchers. S.H. has full freedom over scientific interpretation and publication.

See also Science to Practice in this issue.

Author contributions: Guarantors of integrity of entire study, S.A.T., S.H.; study concepts, S.H.; study design and literature research, S.A.T., S.H.; experimental studies, S.A.T., I.C.T., N.F., B.P.S.; data acquisition, S.A.T., P.R.M., I.C.T., N.F.; data analysis/interpretation, S.A.T., S.H., P.R.M.; statistical analysis, S.A.T., S.H., P.R.M.; manuscript preparation, S.A.T.; manuscript definition of intellectual content and manuscript revision/review, S.A.T., S.H., C.I.B., W.A.; manuscript editing, S.H.; manuscript final version approval, all authors


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 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
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