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DOI: 10.1055/s-0034-1365526
Clinical utility of capsule endoscopy with flexible spectral imaging color enhancement for diagnosis of small bowel lesions
Corresponding author:
Publication History
submitted 24 July 2013
accepted after revision 12 February 2014
Publication Date:
07 May 2014 (online)
- Introduction
- Methods
- Results
- Discussion
- References
Background and study aims: The clinical utility of computed virtual chromoendoscopy with flexible spectral imaging color enhancement (FICE) in capsule endoscopy (CE) remains controversial. To clarify the clinical utility of FICE-enhanced CE in evaluating small bowel lesions, we quantitatively assessed white light (WL), FICE, and blue mode (BM) images and examined the sensitivity of these 3 imaging modes of small-bowel lesions from patients who underwent CE.
Methods: The CIELAB color difference (∆E) and visual analogue scales (VAS) were measured in 261 CE images (3 different lesion categories) using WL and FICE set 1, 2, and 3, and BM images, respectively. Three endoscopists reviewed CE videos with WL, 3 FICE mode settings, and BM, and compared the sensitivity and detectability for small intestinal diseases from 50 patients who underwent CE.
Results: In the assessment of visibility in the 152 vascular lesion images, the ∆E and VAS of FICE set 1, 2, and BM images were significantly higher than that of WL images. In 88 erosion/ulceration images, the ∆E and VAS of FICE set 1 and 2 images were significantly higher than that of WL images. In 21 tumor images, there were no significant differences in ∆E among these modalities. When analyzed on a per-patient basis, FICE settings 1 and 2 had the highest sensitivity (100 %) and specificity (97.3 – 100 %) for vascular lesions. As for erosive/ulcerative lesions, FICE setting 2 had the highest sensitivity (100 %) and specificity (97.2 %). For tumors or polyps, WL had the highest sensitivity (90.9 %) and specificity (87.1 %). In per-lesion analysis, FICE settings 1 and 2 showed significantly superior detection ability over WL for vascular lesions. In the detection of erosive/ulcerative lesions, FICE setting 2 was significantly superior to WL. In tumor images, there was no significant improvement with any of the settings relative to WL images.
Conclusions: FICE is most useful for improving CE image quality and detection in cases of angioectasia and erosion/ulceration of the small intestine.
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Introduction
Capsule endoscopy (CE) is a mainstay for endoscopic examination of small bowel diseases, such as obscure gastrointestinal bleeding (OGIB), Crohn’s disease, and polyposis syndromes [1] [2]. The diagnostic superiority of CE has been proven by studies comparing CE with other methods for evaluating the small bowel, such as push enteroscopy and radiologic procedures [3] [4]. CE has been suggested as the first-line modality for diagnosis of OGIB. However, the overall positive diagnostic yield of CE in OGIB is only around 60 % [1]. Recently, to improve diagnostic capability, virtual chromoendoscopy techniques have been proposed to enhance the contrast of microvessels, resolution of superficial mucosal patterns, and color differences [5]. One such modality, the flexible spectral imaging color enhancement (FICE) system, was developed and introduced in 2005 as a new image processing tool for video endoscopy. FICE is a system that estimates the spectral reflectivity of the target tissue, reconstructs flexible spectral images with different wavelengths calculated from conventional white light (WL) images, and develops new flexible spectral images by selecting and reconstructing RGB wavelengths that emphasize the target [5] [6] [7] [8]. FICE is a digital imaging technology that utilizes RAPID software and allows processing of ordinary images captured using standard video capsule devices. Blue mode (BM), an additional image-enhanced modality setting available with the RAPID software package, entails a color coefficient shift of light in the short wavelength range (490 – 430 nm) superimposed onto a white light image. The addition of these technologies to CE is expected to improve the diagnostic yield. Imagawa and colleagues reported that FICE can improve the visibility of small bowel lesions detected under WL by CE [9]. However, Gupta and associates reported that FICE did not improve the detection of small bowel lesions in comparison with WL [10]. Moreover, Krystallis and coworkers reported that BM offers better image enhancement in CE compared with FICE [11]. Thus, data on the use of FICE and BM in CE are limited and the results are controversial. Therefore, the clinical value of FICE-enhanced CE remains unknown. Studies conducted to date have been limited by the lack of qualitative methods to assess visibility. In this study, we aimed to qualitatively evaluate FICE and BM enhancement in CE, using a RAPID6 Access image diagnostic system, in images of lesions obtained during small bowel CE, and to compare the results with corresponding images obtained using WL. Therefore, to evaluate visibility, we first quantified the color contrast of small bowel lesions using the color space CIELAB method, [12] which associates color perception with colorimetric values, and we used a visual analogue scale (VAS) to assess visibility [13]. We also assessed whether FICE-CE could improve the detection of small-bowel lesions.
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Methods
CE procedure
A PillCam SB or SB2 (Given Imaging Ltd, Yoqneam, Israel) was used for CE. All patients included had received 500 ml of polyethylene glycol-based bowel preparation before the examination and were given dimethicone before swallowing the capsule after an overnight fast. A RAPID6 Access CE diagnostic system (Given Imaging Ltd) equipped with the FICE system and BM was used for the analysis. The principle of FICE estimation technology is described elsewhere [5]. FICE set 1 (R, 595 nm; G, 540 nm; and B, 535 nm), FICE set 2 (R, 420 nm; G, 520 nm; and B, 530 nm), and FICE set 3 (R, 595 nm; G, 570 nm; and B, 415 nm), which are the default FICE settings, and BM (wavelength 490 – 430 nm) were used in this study.
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Image interpretation
To evaluate the visualization of CE images, we retrospectively assessed all images of lesions obtained from 189 patients (123 male, 66 female; median age 53 years) who underwent CE for small-bowel lesions at Sapporo Medical University Hospital between January 2009 and April 2012. CE was performed for the following reasons: obscure gastrointestinal bleeding (OGIB) (n = 129), examination of the extent of tumor spread (n = 43), chronic abdominal pain or diarrhea (n = 13), and miscellaneous (n = 4). The 261 lesions in which the final diagnoses were confirmed by balloon enteroscopy, surgery, or periodical observation were chosen on the basis of their overall acceptability as CE images by one of the authors (YS) who has extensive experience with CE. Lesions classified as P0 (no potential for bleeding) were not taken into account [14]. This author did not participate in further evaluation of the images. CE images were categorized according to 3 different lesion categories: i. e., angioectasia (n = 152), erosion/ulceration (n = 88), or tumor (n = 21).
Representative CE images are shown in [Fig. 1]; the color difference (ΔE) was examined between each lesion and corresponding background mucosa in WL images, FICE set 1 – 3, and BM images. ΔE was calculated using the CIE 1976 (L*a*b*) color space (CIELAB) method.[12] CIE L*a*b* (CIELAB) is a 3-dimensional color space consisting of a black – white axis (L*), a red – green axis (a*), and a yellow – blue axis (b*) ([Fig. 2 a]). L* is defined as lightness, a* as the red – green component, and b* as the yellow – blue component. All endoscopic images were stored in JPEG format. ΔE obtained from the WL image, the FICE set 1, set 2, and set 3 images, and BM images was determined. ΔE was measured by a single computer operator (TS) who was able to recognize small bowel lesions and background mucosa in the endoscopic images but had no knowledge of the patients’ histories. The operator was initially asked to select 1 sample point at random from a lesion, such as an area of rubefaction, in each WL image, as shown in [Fig. 2 b,] and subsequently to select 1 sample point from background mucosa close to the sample points for the small bowel lesion. The corresponding regions were then selected on the FICE and BM images and the color difference was calculated using the method described for WL images ([Fig. 2 c]). One sample point consisted of 81 pixels (9 × 9 pixels) and the median RGB value determined using Adobe Photoshop Elements 2.0. L*a*b* was then calculated based on the median RGB value. The Photoshop RGB value (sRGB value; designated as R’, G’, and B’) indicates “the color dependent on the device.” Therefore, an sRGB value does not express an absolute color value and, consequently, it is necessary to convert the sRGB value to the XYZ color system independent of a device. After determining the sRGB values, we calculated ΔE and compared differences in ΔE among FICE, BM, and WL images.
![](https://www.thieme-connect.de/media/10.1055-s-00025476/201402/thumbnails/10-1055-s-0034-1365526-i006ei1.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
![](https://www.thieme-connect.de/media/10.1055-s-00025476/201402/thumbnails/10-1055-s-0034-1365526-i006ei2.gif)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
The VAS was used to score the visibility of small bowel lesions in the images, which were evaluated by 5 expert endoscopists (MH, HO, TO, YO, FT) who had not been informed about the study design. All images were incorporated into a slideshow (Microsoft Office PowerPoint 2008, Microsoft Inc, USA) and displayed on a black background with a 15-inch screen. For slides containing either WL; FICE set 1, 2, 3 images; or BM images, the assessors were asked to grade the following items on a 100-mm VAS (0 = low quality; 100 = high quality) [13].
To evaluate the detectability of small bowel lesions in images from each FICE setting or BM compared with the WL image, a total of 50 patients (27 males/23 females; median age, 62.5 years) who underwent CE between May 2012 and April 2013 were examined at Sapporo Medical University Hospital. CE was performed for the following reasons: OGIB (n = 34), examination of the extent of tumor spread (n = 8), chronic abdominal pain or diarrhea (n = 4), and miscellaneous (n = 4). Three certified endoscopists (YS, TS, MH) who had similar levels of experience in CE image analysis (i. e., more than 100 cases) read the videos in a blinded fashion. In practice, one endoscopist (YS) read videos 1 to 20 with WL, videos 21 to 40 with FICE at settings 1 – 3, and videos 41 to 50 with BM. A second reader (TS) read the same sequences of videos using FICE, BM and WL, in that order, and a third reader (MH) read the videos sequentially using BM, WL, and FICE. The FICE reader read each FICE setting on another day and was blinded to the results. The most relevant findings obtained from CE were documented and classified by each endoscopist as: vascular lesion, erosion/ulceration, tumor, or no abnormality. The numbers of lesions detected and reading times were compared between WL and FICE setting 1 – 3, or BM. The final diagnoses, which were made by several modalities including CE, balloon enteroscopy, surgery and periodical observation, were used as the gold standard for the analyses. This study was approved by our institutional review board. All patients provided written informed consent for participation in the study.
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Statistical analysis
All statistical analyses were performed using StatView version 5.0 software (SAS Institute, Inc., Cary, NC, USA). Parametric data were expressed as mean ± standard deviation (SD). In all analyses, the mean values were compared by paired Student’s t-test. A P-value less than 0.05 was considered statistically significant.
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Results
Comparison of color differences in WL, FICE, and BM images quantified using the CIERAB method for each lesion Type
To evaluate the color contrast between 261 small bowel lesion images from 189 patients and their respective background normal mucosa, we determined ∆E in WL, FICE set 1 – 3, and BM images. The protocols for calculating ∆E are shown in [Fig. 2 b, c], and the results for each FICE setting and BM are shown for each lesion type in [ Table 1 ]. For vascular lesion (152 images), the ∆E values were as follows: WL images = 24.3 ± 9.4, FICE set 1 = 76.1 ± 17.4, FICE set 2 = 78.2 ± 20.6, FICE set 3 = 56.3 ± 26.2 and BM set = 67.3 ± 16.6. The ∆E of the FICE set 1 and 2, and BM images was significantly higher than ∆E of the WL images (P < 0.01). There was no significant difference in ∆E between FICE set 1 and 2, BM and FICE set 1, and BM and FICE set 2. For erosion/ulceration (88 images), the ∆E values were as follows: WL images = 18.5 ± 7.3, FICE set 1 = 43.2 ± 14.9, FICE set 2 = 46.9 ± 17.6, FICE set 3 = 31.8 ± 15.6, and BM = 37.2 ± 14.2. The ∆E of FICE set 1 and 2 images was significantly higher than that of WL images (P < 0.01). There was no significant difference in ∆E between FICE setting 1 and 2. For tumors (21 images), the ∆E values were as follows: WL images = 20.2 ± 7.6, FICE set 1 = 21.5 ± 11.2, FICE set 2 = 21.2 ± 8.4, FICE set 3 = 23.1 ± 9.2 and BM = 23.3 ± 8.8. There was no significant difference in ∆E among settings. Regarding specific types of tumor, there were 4 lymphangioma, 5 follicular lymphoma, 3 gastrointestinal stromal tumor (GIST), 6 adenomatous polyp, and 3 Peutz-Jeghers polyp cases, and there was no significant difference among settings in the ∆E values relative to WL images for the different tumor type settings.
Vascular lesion |
Erosion/ulceration |
Tumor |
||||
CE setting |
ΔE |
VAS |
ΔE |
VAS |
ΔE |
VAS |
WL |
24.3 ± 9.4 |
50.2 ± 1.2 |
18.5 ± 7.3 |
50.2 ± 3.0 |
20.2 ± 7.6 |
50.1 ± 1.0 |
FICE 1 |
76.1 ± 17.4[*] |
72.7 ± 5.2[*] |
43.2 ± 14.9[*] |
72.9 ± 5.4[*] |
21.5 ± 11.2 |
50.7 ± 4.4 |
FICE 2 |
78.2 ± 20.6[*] |
74.0 ± 14.9[*] |
46.9 ± 17.6[*] |
67.9 ± 5.7[*] |
21.2 ± 8.4 |
54.0 ± 3.8 |
FICE 3 |
56.3 ± 26.2 |
58.7 ± 14.9 |
31.8 ± 15.6 |
53.5 ± 6.5 |
23.1 ± 9.2 |
50.1 ± 9.8 |
BM |
67.3 ± 16.6[*] |
64.8 ± 4.6[*] |
37.2 ± 14.2 |
59.5 ± 6.5 |
23.3 ± 8.8 |
54.1 ± 5.0 |
Abbreviations: BM, blue mode; CE, capsule endoscopy; FICE, flexible spectral imaging color enhancement; VAS, visual analogue scale; WL, white light.
* P < 0.01 versus White light CE
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Evaluation of visibility quantified by lesion type using a VAS with WL, FICE, and BM images
We also assessed visibility scores for each of the imaging methods ([Table 1]). For vascular lesion (152 images), the VAS scores were as follows: WL images = 50.2 ± 1.2, FICE set 1 = 72.7 ± 5.2, FICE set 2 = 74.0 ± 14.9, FICE set 3 = 58.7 ± 14.9, and BM = 64.8 ± 4.6. The VAS scores for FICE set 1 and set 2 and BM images were significantly higher than the score for WL images (P < 0.01). However, the score for FICE set 3 was not improved as much as the score for FICE set 1 and set 2, and BM. For erosion/ulceration (88 images), the VAS scores were: WL images = 50.2 ± 3.0, FICE set 1 = 72.9 ± 5.4, FICE set 2 = 67.9 ± 5.7, FICE set 3 = 53.5 ± 6.5, and BM = 59.5 ± 6.5. The VAS scores for FICE set 1 and set 2 were significantly higher than the score for WL images (P < 0.01). However, the score for FICE set 3 and BM was not improved as much as the score for FICE set 1 and set 2. For imaging tumors (30 images), the VAS scores were: WL images = 50.1 ± 1.0, FICE set 1 = 50.7 ± 4.4, FICE set 2 = 54.0 ± 3.8, FICE set 3 = 50.1 ± 9.8, and BM = 54.1 ± 5.0. There was no significant improvement with any of the settings relative to WL images. However, the score for FICE and BM was not decreased relative to the score for WL images.
Sensitivity and specificity of CE for each type of small intestinal disease on a per-patient basis
A complete examination of the entire small bowel was achieved in 88 % (44 /50) of cases, with median small bowel transit time being 250 min (range 71 – 522). The final diagnosis indicated that there were 40 vascular lesions in 12 patients, 42 erosion/ulcerative lesions in 13 patients, and 26 tumors or polyps (follicular lymphoma [n = 6]; gastrointestinal stromal tumor [n = 2]; Peutz-Jeghers polyps [n = 2]; familial adenomatous polyposis [n = 16]) in 11 patients. The remaining 14 individuals without any significant lesions were also confirmed. The per-patient sensitivity and specificity of CE for the detection of small intestinal diseases are shown in [Table 2]. With respect to vascular lesions, FICE setting 1 and 2 had the highest sensitivity (100 %), and specificity (97.3 – 100 %). As for erosive/ulcerative lesions, FICE setting 2 had the highest sensitivity (100 %) and specificity (97.2 %). In terms of tumors or polyps, WL had the highest sensitivity (90.9 %) and specificity (87.1 %).
BM, blue mode; CE, capsule endoscopy; CI, confidence interval; FICE, flexible spectral imaging color enhancement; WL, white light.
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Detection of the number of lesions using FICE or BM imaging enhancement
The results of WL, FICE, and BM are shown per lesion type in [Table 3]. In these 50 patients, a total of 17 angioectasias were identified by WL; 24 were detected by FICE at setting 1, 33 at setting 2, and 18 at setting 3; and 20 were detected with BM. There were statistically significant differences between WL and FICE setting 1 and 2 (P = 0.02 and P = 0.003, respectively). A total of 28 erosive/ulcerative lesions were detected by WL; 33 by FICE setting 1, 41 FICE setting 2, 24 at FICE setting 3, and 28 with BM. Only FICE setting 2 showed significantly superior detection ability over WL (P = 0.007). For tumors, a total of 13 lesions were detected by WL; 13 were detected by FICE setting 1, 14 at FICE setting 2, and 10 at FICE setting 3; and 14 were detected by BM. Detection did not differ significantly among groups. With respect to tumor type, 6 adenomatous polyps were detected by WL, and the same adenomatous polyps were detected by FICE setting 1 – 3 and BM. Two Peutz-Jeghers polyps were detected by WL and FICE setting 1, 2, and BM, but only 1 was detected by FICE setting 3. Three follicular lymphoma were detected by WL and by FICE setting 1; four were detected by FICE setting 2 and by BM, and 1 was detected by FICE at setting 3. With each of the imaging settings, 2 GISTs were detected. The analysis times with WL (36 ± 3.9 min) and FICE at the various settings (setting 1, 35 ± 2.9 min; setting 2, 37 ± 3.7 min; setting 3, 35 ± 5.3 min), and BM (37 ± 5.6 min) did not differ significantly.
CE setting |
Lesion type |
||
Vascular lesion (n = 40) |
Erosion/ ulceration (n = 42) |
Tumor (n = 26) |
|
WL |
17 |
28 |
13 |
FICE 1 |
24[1] |
33 |
13 |
FICE 2 |
33[2] |
41[3] |
14 |
FICE 3 |
18 |
24 |
10 |
BM |
20 |
28 |
14 |
Abbreviations: BM, blue mode; CE, capsule endoscopy; FICE, flexible spectral imaging color enhancement; WL, white light.
1 P = 0.02 versus WL-CE
2 P = 0.003 versus WL-CE
3 P = 0.007 versus WL-CE.
Positives of FICE imaging and negatives of WL-CE imaging
There were 2 of 50 patients (4 %) whose angioectasias were missed with WL-CE imaging and only detected with FICE settings 1 and 2. In these lesions, visualization of the mucosa was impaired by the presence of air bubbles and bile pigments. Representative images are shown in [Fig. 3 a – c]. There were 2 of 50 patients (4 %) whose aspirin-induced erosions were missed with WL-CE imaging and only detected with FICE settings 1 and 2. With FICE imaging, it was easier to observe demarcation of the lesion compared with WL-CE imaging. Representative images are shown in [Fig. 3d – f].
![](https://www.thieme-connect.de/media/10.1055-s-00025476/201402/thumbnails/10-1055-s-0034-1365526-i006ei3.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
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Discussion
The diagnostic yield of CE remains unsatisfactory, partly because faint or minute small-bowel lesions can be easily missed. Thus, there is a need for image-enhancement technology to enable visualization of such lesions. However, it remains to be verified which of the available image enhancement modes, such as FICE or BM, is most appropriate for improving the ability to diagnose small-bowel lesions. In fact, conflicting results have been reported to date ([Table 4]). This uncertainty is due in part to the fact that studies conducted so far have been limited by the lack of qualitative methods to assess visibility.
Reference |
Indication (number of patients) |
Detectability |
|||||||||
Vascular lesion |
Erosion/ulcer |
Tumor |
Note |
||||||||
FICE 1 |
FICE 2 |
FICE 3 |
FICE 1 |
FICE 2 |
FICE 3 |
FICE 1 |
FICE 2 |
FICE 3 |
|||
Kobayashi et al.[19] |
OGIB/IDA/suspected tumor/pain (24) |
↑ |
→ |
→ |
↑ |
→ |
→ |
↓ |
→ |
→ |
FICE set 1 missed more tumors than the WL-CE |
Matsumura et al.[20] |
OGIB (81) |
→ |
↑ |
→ |
Diagnostic yield for OGIB is not improved by FICE |
||||||
Sakai et al.[15] |
OGIB (12) |
↑ |
↑ |
→ |
↑ |
↑ |
↑ |
NA |
Detectability of FICE set 2 was reduced by the presence of bile-pigments, but not FICE set 1 |
||
Nakamura et al.[16] |
Angiodysplasia (50) |
↑ |
NA |
NA |
FICE enables accurate detection of angiodysplasia in the preview of CE |
||||||
Duque et al.[17] |
OGIB (20) |
NA |
↑ |
NA |
NA |
↑ |
NA |
NA |
→ |
NA |
FICE set 2 seems to increase its diagnostic accuracy of erosions and angiodysplasias |
Imagawa et al.[18] |
OGIB/IDA/ suspected tumor/pain/others (55) |
↑ |
↑ |
→ |
→ |
→ |
→ |
→ |
→ |
→ |
FICE set 1 and 2 are particularly useful for detecting angioectasias |
Gupta et al.[10] |
OGIB (60) |
→ |
NA |
NA |
→ |
NA |
NA |
NA |
Some vascular lesions could be more accurately characterized with FICE compared with WL-CE |
Abbreviations: ↑, significantly improved; →, no significant change; ↓, significantly decreased; FICE, flexible spectral imaging color enhancement; IDA, iron deficiency anemia; NA, not applicable; OGIB, obscure gastrointestinal bleeding; WL, white light.
In this study, we demonstrated that FICE-CE provided useful information for the diagnosis of small bowel lesions by enhancing the contrast between lesions and background mucosa. This is the first report to objectively evaluate the quantitative detection capacity of small bowel lesions using the CIELAB method (ΔE). We found that FICE significantly improved the visibility and detection of small bowel vascular and erosion/ulceration lesions better than the other settings that were evaluated.
FICE uses computerized processing to convert standard RGB signals from the endoscope’s charge-coupled device, which represents a type of electronic image-enhanced endoscopy (IEE) [5] [6] [7] [8]. Recent advances in image processing technology have enabled isolation of RGB signals as “image information according to the light at a specific wavelength” [6]. An endoscopic image obtained using light of a specific wavelength is known as a spectral image; such images are obtained by the application of spectral estimation technology. Although spectral images are monochromatic, they are displayed in pseudo-colors by allocating RGB signals in FICE. It is possible to analyze images using a combination of light at different wavelengths in FICE. Therefore, the same degree of brightness can be maintained as in conventional endoscopy, and distant-view observations are possible while maintaining adequate viewing. Obtaining bright images is extremely important in small bowel CE, in which the distance from a lesion cannot arbitrarily be controlled. As a result, FICE-CE would be expected to improve the detection of lesions and their characterization, and as a consequence, may improve the diagnostic yield.
In terms of quantitative contrast enhancement, the color difference (ΔE) between small bowel vascular or erosion/ulceration lesions and background mucosa was significantly larger with FICE set 1 and 2 images than with WL-CE images; a similar tendency was observed with respect to VAS visibility scores. These results indicate that ΔE reflects the results of VAS, and thus, that the measurement of ΔE would be useful for objectively assessing the visibility of small intestine lesions. The results of the present study are comparable to those of a recent study by Imagawa and colleagues [9], which showed improved visibility for 87.0 % of vascular images analyzed with FICE setting 1 or 2, and for 53.3 % and 25.5 % of erosion/ulceration images with FICE settings 1 and 2, respectively.
In our study, there were no significant visibility differences between FICE settings 1 and 2; however, in particular lesions, such as minute small or faint bowel vascular/erosive lesions, the color difference and VAS score were greatest with FICE set 2 (data not shown), which was assumed to be because the image of background mucosa of FICE set 2 is blue. It was therefore possible to emphasize the redness of angioectasia or the border of the surrounding reddened area of an erosion/ulceration with inflammatory change more clearly and demarcation of the lesion would be distinct. In contrast, in environments with relatively high amounts of bile juice such as the terminal ileum, FICE set 1 images produced the largest ΔE and showed better detectability than FICE set 2 images in cases of vascular or erosion/ulceration lesions (data not shown). This is presumably because bile juice is visualized with almost no color with FICE set 1, since wavelengths at this setting (500 nm or longer) are not absorbed by bile juice. In fact, Sakai et al. reported that FICE set 1 may reduce the bile-pigment effect and improve the detectability of small-bowel lesions [15]. Additional research is needed to determine which of these settings is most appropriate depending on the condition of the small intestine.
As shown in [Table 4], there have been conflicting findings to date from studies comparing detectability with WL and each FICE setting, [10] [15] [16] [17] [18] [19] [20] or instance, Gupta and colleagues reported that FICE did not improve the detection of significant small bowel lesions in comparison with WL [10]. Interestingly, they found that FICE setting 1 provided slightly better characterization of vascular lesions compared with WL. However, in addition to not quantifying visibility, the study did not examine the validity of each FICE settings. It has also been reported that discrepancies in detectability results may be attributable to the lesion location [19], pigment effect [15], conditions of preparation, and experience level of the reader [20]; however, in most of these reports, including our study, FICE settings 1 and/or 2 showed significantly superior ability compared with WL for the detection of vascular and/or erosive/ulcerative lesions. In fact, our main diagnoses were changed by FICE reading versus WL reading in 4 patients (8 %) with minute vascular lesions and faint erosive lesions. In these cases, FICE can avoid interference from bile juice or residues and enhance the color contrast of the lesions.
Our data showed that FICE-CE is not particularly useful for improving the detection of tumors such as follicular lymphoma, Peutz-Jeghers polyp, and adenomatous polyp, which is consistent with other reports [9] [11]. In general, it is difficult to demonstrate the usefulness of CE for identifying tumor lesions, since lesions typically vary with respect to morphology, size, surface patterns, hypervascularity, and vascular morphology. In fact, Kobayashi and coworkers [19] reported that FICE set 1 is worse at detecting tumors or polyps than is the WL mode ([Table 4]). This does not necessarily negate the utility of FICE compared with WL, but suggests that there is a risk of overlooking critical lesions by spectral modifications, in particular, in the exploration of tumor lesions. Therefore, further studies will be needed to assess the ability of FICE-CE to detect specific types of tumor.
BM, which can be obtained by simply enhancing the blue color range of WL images, has been reported to offer better image enhancement in CE compared with FICE, in contrast with the results of our study [11]. However, in that study, FICE was better than BM in image enhancement for vascular lesions such as arteriovenous malformation (AVM). In fact, we found that the detection rate and the sensitivity and specificity for angioectasia cases at FICE settings 1 and 2 were greater than those with BM. In that respect, especially for vascular lesions, it appears that visibility is improved more with FICE than with BM.
Taken together, the data from the present study indicate that FICE setting 1 or 2 was most useful for improving visibility in cases of angioectasia and erosion/ulceration of the small intestine. We believe that the enhanced visibility with FICE is responsible for the improved sensitivity, specificity and detection of angioectasias and erosion/ulceration documented in the present study.
In particular, vascular lesions such as angiodysplasias and other vascular abnormalities account for ~ 80 % of the major source of bleeding from the small bowel [21]; thus, improved detection of angioectasia with FICE would be clinically meaningful for OGIB.
The present study has potential limitations. It was conducted at a single center and the data were analyzed retrospectively. Prospectively assessing the diagnostic yield of CE-FICE and comparison with a comprehensive examination including double-balloon endoscopy would be worth investigating in a future study.
In conclusion, our data show that FICE imaging adds valuable information to conventional CE imaging and provides better diagnostic ability for small bowel lesions such as angioectasia and erosion/ulceration, especially with the use of FICE setting 1 and/or 2. A multicenter trial to screen diseases of the small intestine by FICE is warranted to clarify the clinical indications for FICE.
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Competing interests: None
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- 5 Pohl J, May A, Rabenstein T et al. Computed virtual chromoendoscopy: a new tool for enhancing tissue surface structures. Endoscopy 2007; 39: 80-83
- 6 Miyake Y, Takeuchi S, Yamataka S. Proceedings of the Thirteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications. Arizona: Scottsdale; 2005: 261-263 (ISBN/ISSN: 0-89208-259-3)
- 7 Fedeli P, Gasbarrini A, Cammarota G. Spectral endoscopic imaging: the multiband system for enhancing the endoscopic surfacts visualization. J Clin Gastroenterol 2011; 45: 6-15
- 8 Togashi K, Osawa H, Koinuma K et al. A comparison of conventional endoscopy, chromoendoscopy, and the optimal-band imaging system for the differentiation of neoplastic and non-neoplastic colonic polyps. Gastrointest Endosc 2009; 69: 734-741
- 9 Imagawa H, Oka S, Tanaka S et al. Improved visibility of lesions of the small intestine via capsule endoscopy with computed virtual chromoendoscopy. Gastrointest Endosc 2011; 73: 299-306
- 10 Gupta T, Ibrahim M, Deviere J et al. Evaluation of Fujinon intelligent chromo endoscopy-assisted capsule endoscopy in patients with obscure gastroenterology bleeding. World J Gastroenterol 2011; 17: 4590-4595
- 11 Krystallis C, Koulaouzidis A, Douglas S et al. Chromoendoscopy in small bowel capsule endoscopy: Blue mode or Fuji Intelligent Colour Enhancement?. Dig Liver Dis 2011; 43: 953-957
- 12 Kuehni RG. Color-tolerance data and the tentative CIE 1976 L a b formula. J Opt Soc Am 1976; 66: 497-500
- 13 Ghanaati H, Rokni-Yazdi H, Jalali AH et al. Improvement of MR cholangiopancreatography (MRCP) images after black tea consumption. Eur Radiol 2011; 21: 2551-2557
- 14 Saurin JC, Delvaux M, Gaudin JL et al. Diagnostic value of endoscopic capsule in patients with obscure digestive bleeding: blinded comparison with video push-enteroscopy. Endoscopy 2003; 35: 576-584
- 15 Sakai E, Endo H, Kato S et al. Capsule endoscopy with flexible spectral imaging color enhancement reduces the bile pigment effect and improves the detectability of small bowel lesions. BMC Gastroenterol 2012; 12: 83
- 16 Nakamura M, Ohmiya N, Miyahara R et al. Usefulness of flexible spectral imaging color enhancement (FICE) for the detection of angiodysplasia in the preview of capsule endoscopy. Hepatogastroenterology 2012; 59: 1474-1477
- 17 Duque G, Almeida N, Figueiredo P et al. Virtual chromoendoscopy can be a useful software tool in capsule endoscopy. Rev Esp Enferm Dig 2012; 104: 231-236
- 18 Imagawa H, Oka S, Tanaka S et al. Improved detectability of small-bowel lesions via capsule endoscopy with computed virtual chromoendoscopy: a pilot study. Scand J Gastroenterol 2011; 46: 1133-1137
- 19 Kobayashi Y, Watabe H, Yamada A et al. Efficacy of flexible spectral imaging color enhancement on the detection of small intestinal diseases by capsule endoscopy. J Dig Dis 2012; 13: 614-620
- 20 Matsumura T, Arai M, Sato T et al. Efficacy of computed image modification of capsule endoscopy in patients with obscure gastrointestinal bleeding. World J Gastrointest Endosc 2012; 4: 421-428
- 21 Raju GS, Gerson L, Das A et al. American Gastroenterological Association (AGA) Institute medical position statement on obscure gastrointestinal bleeding. Gastroenterology 2007; 133: 1694-1696
Corresponding author:
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References
- 1 Triester SL, Leighton JA, Leontiadis GI et al. A meta-analysis of the yield of capsule endoscopy compared to other diagnostic modalities in patients with obscure gastrointestinal bleeding. Am J Gastroenterol 2005; 100: 2407-2418
- 2 Wong RF, Tuteja AK, Haslem DS et al. Video capsule endoscopy compared with standard endoscopy for the evaluation of small-bowel polyps in persons with familial adenomatous polyposis (with video). Gastrointest Endosc 2006; 64: 530-537
- 3 Chong AK, Taylor A, Miller A et al. Capsule endoscopy vs. push enteroscopy and enteroclysis in suspected small-bowel Crohn’s disease. Gastrointest Endosc 2005; 61: 255-261
- 4 Ell C, Remke S, May A et al. The first prospective controlled trial comparing wireless capsule endoscopy with push enteroscopy in chronic gastrointestinal bleeding. Endoscopy 2002; 34: 685-689
- 5 Pohl J, May A, Rabenstein T et al. Computed virtual chromoendoscopy: a new tool for enhancing tissue surface structures. Endoscopy 2007; 39: 80-83
- 6 Miyake Y, Takeuchi S, Yamataka S. Proceedings of the Thirteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications. Arizona: Scottsdale; 2005: 261-263 (ISBN/ISSN: 0-89208-259-3)
- 7 Fedeli P, Gasbarrini A, Cammarota G. Spectral endoscopic imaging: the multiband system for enhancing the endoscopic surfacts visualization. J Clin Gastroenterol 2011; 45: 6-15
- 8 Togashi K, Osawa H, Koinuma K et al. A comparison of conventional endoscopy, chromoendoscopy, and the optimal-band imaging system for the differentiation of neoplastic and non-neoplastic colonic polyps. Gastrointest Endosc 2009; 69: 734-741
- 9 Imagawa H, Oka S, Tanaka S et al. Improved visibility of lesions of the small intestine via capsule endoscopy with computed virtual chromoendoscopy. Gastrointest Endosc 2011; 73: 299-306
- 10 Gupta T, Ibrahim M, Deviere J et al. Evaluation of Fujinon intelligent chromo endoscopy-assisted capsule endoscopy in patients with obscure gastroenterology bleeding. World J Gastroenterol 2011; 17: 4590-4595
- 11 Krystallis C, Koulaouzidis A, Douglas S et al. Chromoendoscopy in small bowel capsule endoscopy: Blue mode or Fuji Intelligent Colour Enhancement?. Dig Liver Dis 2011; 43: 953-957
- 12 Kuehni RG. Color-tolerance data and the tentative CIE 1976 L a b formula. J Opt Soc Am 1976; 66: 497-500
- 13 Ghanaati H, Rokni-Yazdi H, Jalali AH et al. Improvement of MR cholangiopancreatography (MRCP) images after black tea consumption. Eur Radiol 2011; 21: 2551-2557
- 14 Saurin JC, Delvaux M, Gaudin JL et al. Diagnostic value of endoscopic capsule in patients with obscure digestive bleeding: blinded comparison with video push-enteroscopy. Endoscopy 2003; 35: 576-584
- 15 Sakai E, Endo H, Kato S et al. Capsule endoscopy with flexible spectral imaging color enhancement reduces the bile pigment effect and improves the detectability of small bowel lesions. BMC Gastroenterol 2012; 12: 83
- 16 Nakamura M, Ohmiya N, Miyahara R et al. Usefulness of flexible spectral imaging color enhancement (FICE) for the detection of angiodysplasia in the preview of capsule endoscopy. Hepatogastroenterology 2012; 59: 1474-1477
- 17 Duque G, Almeida N, Figueiredo P et al. Virtual chromoendoscopy can be a useful software tool in capsule endoscopy. Rev Esp Enferm Dig 2012; 104: 231-236
- 18 Imagawa H, Oka S, Tanaka S et al. Improved detectability of small-bowel lesions via capsule endoscopy with computed virtual chromoendoscopy: a pilot study. Scand J Gastroenterol 2011; 46: 1133-1137
- 19 Kobayashi Y, Watabe H, Yamada A et al. Efficacy of flexible spectral imaging color enhancement on the detection of small intestinal diseases by capsule endoscopy. J Dig Dis 2012; 13: 614-620
- 20 Matsumura T, Arai M, Sato T et al. Efficacy of computed image modification of capsule endoscopy in patients with obscure gastrointestinal bleeding. World J Gastrointest Endosc 2012; 4: 421-428
- 21 Raju GS, Gerson L, Das A et al. American Gastroenterological Association (AGA) Institute medical position statement on obscure gastrointestinal bleeding. Gastroenterology 2007; 133: 1694-1696
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