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DOI: 10.1055/a-1759-2568
Usefulness of optical enhancement endoscopy combined with magnification to improve detection of intestinal metaplasia in the stomach
Abstract
Background and study aims The light blue crest observed in narrow band imaging endoscopy has high diagnostic accuracy for diagnosis of gastric intestinal metaplasia (GIM). The objective of this prospective study was to evaluate the diagnostic accuracy of magnifying i-scan optical enhancement (OE) imaging for diagnosing the LBC sign in patients with different levels of risk for gastric cancer in a Mexican clinical practice.
Patients and methods Patients with a history of peptic ulcer and symptoms of dyspepsia or gastroesophageal reflux disease were enrolled. Diagnosis of GIM was made at the predetermined anatomical location and white light endoscopy and i-scan OE Mode 1 were captured at the two predetermined biopsy sites (antrum and pyloric regions).
Results A total of 328 patients were enrolled in this study. Overall GIM prevalence was 33.8 %. The GIM distribution was 95.4 % in the antrum and 40.5 % in the corpus. According to the Operative Link on Gastritis/Intestinal-Metaplasia Assessment staging system, only two patients (1.9 %) were classified with high-risk stage disease. Sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, and accuracy of both methods (95 % C. I.) were 0.50 (0.41–0.60), 0.55 (0.48–0.62), 0.36 (0.31–0.42), 0.68 (0.63–0.73), 1.12 (0.9–1.4), 0.9 (0.7–1.1), and 0.53 (0.43–0.60) for WLE, and 0.96 (0.90–0.99), 0.91 (0.86–0.94), 0.84 (0.78–0.89), 0.98 (0.94–0.99), 10.4 (6.8–16), 0.05 (0.02–0.12), and 0.93 (0.89–0.95), respectively. The kappa concordance was 0.67 and the reliability coefficient was 0.7407 for interobserver variability.
Conclusions Our study demonstrated the high performance of magnifying i-scan OE imaging for endoscopic diagnosis of GIM in Mexican patients.
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Introduction
The gastric carcinogenic sequence involves subsequent changes inf the mucosa from normal to chronic gastritis, atrophic gastritis (AG), intestinal metaplasia (IM), dysplasia, and gastric cancer (GC) [1]. The development of IM is an important step in the precancerous cascade of gastric adenocarcinoma, and it has been reported that patients with IM have a 10-fold increased risk of GC [2]. Therefore, identification of gastric IM during esophagogastroduodenoscopy (EGD) is very important to recognize high-risk individuals who may benefit from being enrolled in surveillance for GC [3]. A light blue crest (LBC) is an endoscopic sign used to detect metaplasia. Although IM can be observed using white light, its sensitivity and specificity is lower compared to narrow band imaging (NBI).
IM appears during white light imaging as slightly elevated or flat whitish areas, without contrast (color) with the surrounding mucosa, or as depressed reddish areas of shallow depth. Conventional endoscopic identification of IM has a high rate of interobserver variability and correlates poorly with histological findings.
Although the current standard for diagnosis for IM is histological assessment of a biopsy specimen, high-quality image-enhanced endoscopy enables detection and characterization of premalignant and malignant gastric lesions and determination of how far they extend [4]. NBI with magnifying endoscopy (NBI-ME) visualizes a particular endoscopic sign of IM, LBC, which is defined as a thin, blue-white line on the crest of the epithelial surface, showing high diagnostic accuracy [5] [6] [7] [8]: sensitivity of 90 % and specificity of 90 % [8]. Use of NBI increases sensitivity of endoscopy for diagnosing IM compared to white light endoscopy (WLE) diagnosis (87 % vs. 53 %, P < 0.001) [7].
The i-scan (Pentax Medical, HOYA Corporation, Tokyo, Japan) is a computerized digital image processing system that improves the visibility of vessels, crypts, and surface structures of the superficial mucosa [9]. The OE i-scan-Mode System (Pentax Medical) is a new, computerized, dynamic, digital image processor that provides high-resolution enhanced images. i-SCAN combines high-resolution endoscopy with three adjustable modes of image enhancement: 1) surface enhancement, which delimits the edges of the structures; 2) CE, which shows the areas of low density in color (depressed lesions), sharpening the appearance of the vessels and the texture of the surface; and 3) TE, which modifies the colors of each pixel by accentuating the mucosal (MS) and vascular (MV) pattern. As an example, this technology is reported to be useful for improving detection of dysplasia in Barrett's esophagus with a high diagnostic yield [10]. However, the usefulness of this system for diagnosing gastric IM has not been investigated.
Actual diagnostic criteria for IM are not pathognomonic, nor reproducible using WLE, which may be the reason for the low rate of agreement among examiners. We suggest that with NBI and i-scan, used in combination with histology, it is possible to detect more cases. The aim of this study, therefore, was to evaluate the diagnostic yield of the i-scan system with magnifying endoscopy for detection of gastric IM in clinical practice.
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Patients and methods
Study design and settings
This was a prospective cohort study conducted in a private endoscopic center in Mexico City from July 2018 to September 2019. All patients received extensive information about the objective of the study, including benefit of histological confirmation of GC risk and potential increase of risk of bleeding associated with biopsy, and provided consent for study participation. The study protocol was approved by the Ethics and Research Committee of the Hospital Ángeles del Pedregal in Mexico City (HAP 2557).
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Participants
Eligibility criteria were: 1) history of peptic ulcer; 2) symptoms of dyspepsia or gastroesophageal reflux disease; 3) age over 18 years old; and 4) provision of written informed consent for study participation. Exclusion criteria were: 1) poor performance status; 2) bleeding tendency; 3) past history of gastrectomy or stenosis; 4) suspected symptom or clinical information for perforation, intestinal obstruction, advanced GC, gastrointestinal bleeding, or portal hypertension; and 5) dimethicone allergy.
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Endoscopic equipment and procedure
A magnifying videoendoscope (Magniview EG-2990Zi HD, Pentax Medical) and an EPK-i7010 processor (Pentax Medical) that works in WLE and i-scan OE modes were used in this study. We used Mode 2 Pentax Medical (similar NBI-Olympus) and i-scan 2 to detect LBC sign. A distal attachment (OE-A58, Pentax Medical) was placed over the tip of the gastroscope to maintain adequate distance to the mucosa during magnifying observation.
The EGD procedures were performed by two endoscopists separately, and two others (blinded) evaluated the endoscopic images who had experience in NBI-ME diagnosis to determined the presence of IM according to the LBC sign. An anesthesiologist administered intravenous propofol sedation to the patients and monitored their vital signs continuously.
Following a systematic alphanumeric-coded endoscopic (SACE) method [11], gastric mucosa was systematically examined to detect any definite or suspicious neoplastic lesions. Then, after thorough observation of the gastric mucosa, magnifying endoscopic images of WLE and i-scan OE Mode 1 were captured at the two predetermined biopsy sites (antrum and pyloric regions) ([Fig. 1], [Fig. 2]): the antral lesser and greater curvature (approximately 2–3 cm proximal to the pylorus), the corpus lesser and greater curvature (approximately 4 cm proximal to the gastric angle), and the incisura angulus [12] [13]. Even though, biopsies were taken from five areas, only two sites were evaluated (one in the antrum and one in the body) to determine the extent of IM. Immediately after observation in each mode, the endoscopic findings were documented in the medical notes and they could not be modified. Finally, biopsy specimens were taken from each site. All procedures were recorded with a high-definition video recorder.
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Diagnostic criteria for IM in WLE and magnifying i-scan OE images
The diagnosis of IM in WLE was made according to presence of irregularly clustered whitish mucosa, mucosa with a rough or uneven surface, a villous appearance, and patchy redness [14]. The mucosa was diagnosed as IM when it had any of the above-mentioned endoscopic findings, while it was diagnosed as non-IM when it had none of the findings.
The diagnosis of IM in magnifying i-scan OE images was made according to presence of an endoscopic finding of LBC. LBC was defined as a fine, blue-white line on crests of the epithelial surfaces/gyri [5]. It was initially described in NBI-ME images, but we confirmed that the same finding is seen in magnifying i-scan OE images. When the mucosa showed LBC in any part of the image fields, it was diagnosed as IM, while I fthere was no LBC in the endoscopic image field, it was diagnosed as non-IM.
Each biopsy specimen was deposited in a separate pod that contained 10 % formaldehyde and labeled. After fixation, the biopsy specimens were embedded into a paraffin block, sectioned, and stained with hematoxylin and eosin (H & E) and Giemsa. In the case of presence of IM, they were also stained with Alcian blue (pH 2.5) and periodic acid Schiff (PAS) [15]. Diagnosis of complete and incomplete type IM was made according to Updated Sydney System criteria [12]. Pathologists were blinded to clinical and endoscopic findings. Presence of histological IM in the biopsy specimen was used as a reference standard for calculation of diagnostic accuracy.
Grade of IM, and Helicobacter pylori was evaluated according to the updated Sydney system [12]. The Operative Link for Gastric Intestinal Metaplasia Assessment (OLGIM) was used for staging of histological severity and topography of IM [16].
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Measured outcomes and statistical analyses
Descriptive statistics were used out for frequencies and proportions. For comparisons of demographic data, Pearson’s chi-square tests and Student's t tests were used for categorical and continuous variables, respectively. The prevalence of IM was reported. For evaluation of diagnostic yield, the sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs), positive likelihood ratios (LR +), and negative (LR –) and diagnostic accuracy of each endoscopic diagnostic method were calculated. Differences in diagnostic yield between WLE and magnifying i-scan OE were compared using MacNemar’s test. The interobserver kappa concordance test between endoscopists was calculated. To measure internal consistency, we also calculated the Cronbach’s alpha.
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Results
A total of 328 patients were included in this study. Demographic characteristics are shown in [Table 1]. IM was histologically detected in 111 individuals (30.1 %). For patients over 45 years old, IM was noted in 111 of 302 subjects (36.7 %). There were statistically significant differences in mean age (P < 0.001), intake of proton pump inhibitors, tobacco (P < 0.0001), alcohol (P < 0.0001), nonsteroidal anti-inflammatory drugs (0.0005), family history of GC (P < 0.0005), and H. pylori infection (0.0001) between patients with IM and those without IM.
BMI, body mass index; NSAID, bonsteroid antiinflammatory drug; GC, gastric cancer; CI, confidence interval; SD, standard deviation.
Histological characteristics of IM patients are shown in [Table 2]. IM was more predominant in the antrum (106 patients, 95.4 %) than in the corpus (45 patients, 40.5 %). According to the OLGIM staging system, patients were stratified as stage I, II, III, and IV in 25 (7.62 %), nine (2.74 %), one (0.3 %), and one (0.3 %), respectively. Only two of them (0.6 %) were classified as have high risk for GC.
IM, intestinal metaplasia; OLGIM, Operative Link for Gastric Intestinal Metaplasia Assessment.
Antrum and pyloric regions were observed using WLE ([Fig. 1]) and i-scan OE Mode 2 ([Fig. 2]) with magnification ([Fig. 3]). Sn, Sp, PPV, NPV, LR + , LR-, and diagnostic accuracy of both methods for histological IM are shown in [Table 3]. The kappa concordance was calculated as 0.67. The reliability coefficient was calculated as 0.7407.
Data are presented with percentage (95 % confidence interval). OE, optical enhancement.
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Discussion
This prospective study provided evidence that magnifying i-scan OE imaging improved diagnosis of GIM compared to only WLE diagnosis in Mexican patients.
H. pylori was classified as a definite carcinogen in 1994 [17]. However, it is known that H. pylori infection is a necessary but not sufficient causal factor for GC [18], and having only H. pylori infection does not increase GC risk substantially [19]. Persistent infection with H. pylori causes subsequent AG and IM in the gastric mucosa, which signify high risk of GC [20]. In particular, the risk of GC increases significantly when IM is present in the gastric mucosa [21]. We found the prevalence of IM in our study subjects was 33.8 %, but according to the OLGIM staging system, only two of the study subjects (2 %) were classified as high risk for GC. Accordingly, identification of IM and surveillance for patients with IM enables detection of GC in an early stage [22] and would improve mortality from GC in our country.
In 1964, Takemoto described the presence of white-grayish elevations dispersed in the antrum and the angularis incisura as a specific finding of IM [23]. Although this finding is highly specific (specificity of 98 %-100 %) for histological IM, the sensitivity was quite low (6 %-13 %) [24] because IM exists in not only white-grayish elevated areas but also areas without color difference, or in shallow, depressed, reddish areas [25]. Fukuta, et al. included several endoscopic findings of IM other than whitish slight elevation and showed good diagnostic values: sensitivity of 86.1 % to 94.6 % and specificity of 65.9 % to 69.1 % [14]. Although the same endoscopic findings were used for the diagnostic criteria of WLE for IM in this study, the diagnostic ability of WLE (sensitivity of 50 % and specificity of 55 %) was not as good as that in the previous Japanese study [14]. A recent online survey and imaging test indicated that the accuracy for endoscopic diagnosis of IM was significantly higher among Japanese and Korean endoscopists compared to the rest of the world [26], and it may be attributed to training and routine practice of endoscopic diagnosis of IM in East Asian countries.
Usefulness of NBI for diagnosis of gastric IM was first reported in a Japanese study with sensitivity of 89 % and specificity of 93 % [5]. An American study described sensitivity and specificity of 89 % and 93 %, respectively, for detection of gastric IM with NBI endoscopy [27]. Our previous study demonstrated that non-magnifying NBI imaging had sensitivity, specificity, PPV, NPV, and diagnostic accuracy for diagnosing gastric IM as 80%, 96 %, 84 %, 95 %, 93 %, and 87 %, respectively [12]. Moreover, we found that i-scan OE showed good LR (LR + of 10.4 [95 %CI 6.8–16] and LR- of 0.05 [95 %CI 0.02–0.12]), which is the ratio between the probability of observing an alteration in patients with disease versus the probability of this result in healthy patients [28]. Values of LR greater than 10 have a higher probability of disease and close to 0 to rule it out. According to the meta-analysis, NBI has the pooled LR + of 8.98 (95 % CI 6.42–12.58) and LR- of 0.12 (95 % CI 0.09–0.16 [8]. Unlike sensitivity, specificity, and predictive values, LR incorporates both sensitivity and specificity, and is not influenced by the prevalence of the disease [28]. The use of LR enables an evaluation closer to reality because the combination of such optical technology using band limited lights and digital image processing technology is reported to yield improved diagnostic accuracy for not only gastric IM but also other diseases in the upper gastrointestinal tract compared to WLE [29].
In this study, we focused on one representative endoscopic finding of gastric IM: LBC. In normal gastric mucosa, the microsurface structure has been described as the foveola type in the body and the groove type in the antrum [30]. MS structure of IM shows a groove type or villiform structures that mimics the normal antral or intestinal mucosa. As in NBI, the LBC was observed on the edge of the ridged or villiform MS of the gastric IM. Kanemitsu et al. reported that the sensitivity and specificity of white opaque substance (WOS) for histologically diagnosed IM were 50.0 % (95 % IC 40.0 %–50.0 %) and 100.0 % (95 %CI 85.0 %–100.0 %), respectively [31]. In our study, the sensitivity and specificity of WOS to diagnose IM were poor (data not shown). The different diagnostic values of MTB and WOS in this study may be a result of differences in endoscopy systems and ethnic backgrounds of study subjects.
The white light anomalies reported as IM [14] have an area under the receiver operating curve between 0.55 to 0.8 in this paper, different among each anomaly and different in the antrum and gastric body. We observed that i-scan sensitivity and specificity do not differ between the antrum and corpus. Using the diagnostic criteria, there were no differences in sensitivity or specificity. Although the structural characteristics of the mucosa differ between the antrum and the gastric body, the diagnostic criteria for IM are considered to be the same.
Finally, American Gastroenterological Association guidelines do not recommend routine surveillance for GIM, and it should be reconsidered in patients with any potential risk.
This study has some limitations. It was conducted by only two operators and both experienced difficulties while trying to focus the mucosa, even using an endoscopic cap. Furthermore, this study only used i-scan, and even though NBI and i-scan have similar diagnostic accuracies for histological prediction, they are not identical [32]. A comparative study between NBI and i-scan could be very informative for validating our findings across these two techniques, but such a study would require a larger group of patients. Therefore, refinement of endoscopic technology and provision of adequate training is necessary before this method can be widely used.
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Conclusions
In conclusion, our study demonstrated that the accuracy of magnifying i-scan OE by means of identification of the LBC sign was better than WLE for diagnosis of gastric IM in a Mexican clinical practice.
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Competing interests
Drs. Sobrino-Cossío and Teramoto-Matsubara are consultants for Endomédica S.A. de CV (distributor of Pentax Medical) in Mexico City. Dr. Emura is a speaker for Fuji. Dr. Uedo is a speaker for Olympus speaker.
Acknowledgments
The authors acknowledge Endomédica S.A. de CV, Mexico City and Medical-Scope company Pentax distributor, Mexico City.
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References
- 1 Correa P, Piazuelo MB. The gastric precancerous cascade. J Dig Dis 2012; 13: 2-9
- 2 Leung WK, Sung JJ. Review article: intestinal metaplasia and gastric carcinogenesis. Aliment Pharmacol Ther 2002; 16: 1209-1216
- 3 Dinis-Ribeiro M, Areia M, de Vries AC. et al. Management of precancerous conditions and lesions in the stomach (MAPS): guideline from the European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter Study Group (EHSG), European Society of Pathology (ESP), and the Sociedade Portuguesa de Endoscopia Digestiva (SPED). Endoscopy 2012; 44: 74-94
- 4 Veitch AM, Uedo N, Yao K. Optimizing early upper gastrointestinal cancer detection at endoscopy. Nat Rev Gastroenterol Hepatol 2015; 12: 660-667
- 5 Uedo N, Ishihara R, Yamamoto S. et al. A new method of diagnosing gastric intestinal metaplasia: narrow−band imaging with magnifying endoscopy. Endoscopy 2006; 38: 819-824
- 6 An JK, Song GA, Kim GH. et al. Marginal turbid band and light blue crest, signs observed in magnifying narrow-band imaging endoscopy, are indicative of gastric intestinal metaplasia. BMC Gastroenterol 2012; 12: 169
- 7 Pimentel-Nunes P, Libânio D, Lage J. et al. A multicenter prospective study of the real-time use of narrow-band imaging in the diagnosis of premalignant gastric conditions and lesions. Endoscopy 2016; 48: 723-30
- 8 Wang L, Huang W, Du J. et al. Diagnostic yield of the light blue crest sign in gastric intestinal metaplasia: a meta-analysis. PLoS One 2014; 9: e92874
- 9 Neumann H, Fujishiro M, Wilcox CM. et al. Present and future perspectives of virtual chromoendoscopy with i-scan and optical enhancement technology. Digest Endosc 2014; 26: 43-51
- 10 Verna C, Feyles E, Lorenzi L. et al. I-SCAN targeted versus random biopsies in Barrett's oesophagus. Dig Liver Dis 2014; 46: 131-134
- 11 Sobrino-Cossío S, Abdo-Francis JM, Mateos-Pérez G. et al. Efficacy of narrow-band imaging for detecting intestinal metaplasia in adult patients with symptoms of dyspepsia. Rev Gastroenterol Méx 2018; 83: 245-252
- 12 Dixon MF, Genta RM, Yardley JH. et al. Classification and grading of gastritis. The updated Sydney System. International Workshop on the Histopathology of Gastritis, Houston 1994. Am J Surg Pathol 1996; 20: 1161-1181
- 13 Saka A, Yagi K, Nimura S. OLGA- and OLGIM-based staging of gastritis using narrow-band imaging magnifying endoscopy. Dig Endosc 2015; 27: 734-741
- 14 Fukuta N, Ida K, Kato T. et al. Study Group for Investigating Endoscopic Diagnosis of Gastric Intestinal Metaplasia. Endoscopic diagnosis of gastric intestinal metaplasia: A prospective multicenter study. Digest Endosc 2013; 25: 526-534
- 15 Rugge M, Cappellesso R, Kuipers EJ. Precancerous lesions in the stomach: From biology to clinical patient management. Best Practice & Research Clinical Gastroenterology 2013; 27: 205-223
- 16 Capelle LG, de Vries AC, Haringsma J. et al. The staging of gastritis with the OLGA system by using intestinal metaplasia as an accurate alternative for atrophic gastritis. Gastrointest Endosc 2010; 71: 1150-1158
- 17 Anonymous. Live flukes and Helicobacter pylori. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans, Lyon, 7–14 June 1994. IARC Monogr. Eval Carcinog Risks Hum 1994; 61: 1-241
- 18 Fock KM, Talley N, Moayyedi P. et al. Asia-Pacific Gastric Cancer Consensus Conference. Asia-Pacific consensus guidelines on gastric cancer prevention. J Gastroenterol Hepatol 2008; 23: 351-365
- 19 Watabe H, Mitsushima T, Yamaji Y. et al. Predicting the development of gastric cancer from combining Helicobacter pylori antibodies and serum pepsinogen status: a prospective endoscopic cohort study. Gut 2005; 54: 764-768
- 20 de Vries AC, van Grieken NC, Looman CW. et al. Gastric cancer risk in patients with premalignant gastric lesions: a nationwide cohort study in the Netherlands. Gastroenterology 2008; 134: 945-952
- 21 Song H, Ekheden IG, Zheng Z. et al. Incidence of gastric cancer among patients with gastric precancerous lesions: observational cohort study in a low risk Western population. BMJ 2015; 351: h3867
- 22 Whiting JL, Sigurdsson A, Rowlands DC. et al. The long term results of endoscopic surveillance of premalignant gastric lesions. Gut 2002; 50: 378-381
- 23 Yokoyama I. Clinical study on endoscopic diagnosis of intestinal metaplasia. Gastroenterolog Endosc 1975; 17: 65-75
- 24 Kaminishi M, Yamaguchi H, Nomura S. et al. Endoscopic classification of chronic gastritis based on a pilot study by the Research Society for Gastritis. Dig Endosc 2002; 14: 138-151
- 25 Nagata N, Shimbo T, Akiyama J. et al. Predictability of gastric intestinal metaplasia by mottled patchy erythema seen on endoscopy. Gastroenterol Res 2011; 4: 203-209
- 26 Yip HC, Uedo N, Chan SM. et al. An international survey on recognition and characterization of atrophic gastritis and intestinal metaplasia. Endosc Int Open 2020; 8: E1365-E1370
- 27 Bansal A, Ulusarac O, Mathur S. et al. Correlation between narrow band imaging and nonneoplastic gastric pathology: A pilot feasibility trial. Gastrointest Endosc 2008; 67: 210-216
- 28 Bai AD, Showler A, Burry L. et al. Clinical prediction rules in Staphylococcus aureus bacteremia demonstrate the usefulness of reporting likelihood ratios in infectious diseases. Eur J Clin Microbiol Infect Dis 2016; 35: 1393-1398
- 29 Singh R, Lee SY, Vijay N. et al. Update on narrow band imaging in disorders of the upper gastrointestinal tract. Digestive Endoscopy 2014; 26: 144-153
- 30 Kanzaki H, Uedo N, Ishihara R. et al. Comprehensive investigation of areae gastricae pattern in gastric corpus using magnifying narrow band imaging endoscopy in patients with chronic atrophic fundic gastritis. Helicobacter 2012; 17: 224-231
- 31 Kanemitsu T, Yao K, Nagahama T. et al. Extending magnifying NBI diagnosis of intestinal metaplasia in the stomach: the white opaque substance marker. Endoscopy 2017; 49: 529-535
- 32 Lee JS, Jeon SW, Kwon YH. Comparative Study of narrow-band imaging and i-scan for predicting the histology of intermediate-to-large colorectal polyps: a prospective, randomized pilot study. Clin Endosc 2021; 54: 881-887
Corresponding author
Publication History
Received: 14 July 2021
Accepted after revision: 11 January 2022
Article published online:
14 April 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Correa P, Piazuelo MB. The gastric precancerous cascade. J Dig Dis 2012; 13: 2-9
- 2 Leung WK, Sung JJ. Review article: intestinal metaplasia and gastric carcinogenesis. Aliment Pharmacol Ther 2002; 16: 1209-1216
- 3 Dinis-Ribeiro M, Areia M, de Vries AC. et al. Management of precancerous conditions and lesions in the stomach (MAPS): guideline from the European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter Study Group (EHSG), European Society of Pathology (ESP), and the Sociedade Portuguesa de Endoscopia Digestiva (SPED). Endoscopy 2012; 44: 74-94
- 4 Veitch AM, Uedo N, Yao K. Optimizing early upper gastrointestinal cancer detection at endoscopy. Nat Rev Gastroenterol Hepatol 2015; 12: 660-667
- 5 Uedo N, Ishihara R, Yamamoto S. et al. A new method of diagnosing gastric intestinal metaplasia: narrow−band imaging with magnifying endoscopy. Endoscopy 2006; 38: 819-824
- 6 An JK, Song GA, Kim GH. et al. Marginal turbid band and light blue crest, signs observed in magnifying narrow-band imaging endoscopy, are indicative of gastric intestinal metaplasia. BMC Gastroenterol 2012; 12: 169
- 7 Pimentel-Nunes P, Libânio D, Lage J. et al. A multicenter prospective study of the real-time use of narrow-band imaging in the diagnosis of premalignant gastric conditions and lesions. Endoscopy 2016; 48: 723-30
- 8 Wang L, Huang W, Du J. et al. Diagnostic yield of the light blue crest sign in gastric intestinal metaplasia: a meta-analysis. PLoS One 2014; 9: e92874
- 9 Neumann H, Fujishiro M, Wilcox CM. et al. Present and future perspectives of virtual chromoendoscopy with i-scan and optical enhancement technology. Digest Endosc 2014; 26: 43-51
- 10 Verna C, Feyles E, Lorenzi L. et al. I-SCAN targeted versus random biopsies in Barrett's oesophagus. Dig Liver Dis 2014; 46: 131-134
- 11 Sobrino-Cossío S, Abdo-Francis JM, Mateos-Pérez G. et al. Efficacy of narrow-band imaging for detecting intestinal metaplasia in adult patients with symptoms of dyspepsia. Rev Gastroenterol Méx 2018; 83: 245-252
- 12 Dixon MF, Genta RM, Yardley JH. et al. Classification and grading of gastritis. The updated Sydney System. International Workshop on the Histopathology of Gastritis, Houston 1994. Am J Surg Pathol 1996; 20: 1161-1181
- 13 Saka A, Yagi K, Nimura S. OLGA- and OLGIM-based staging of gastritis using narrow-band imaging magnifying endoscopy. Dig Endosc 2015; 27: 734-741
- 14 Fukuta N, Ida K, Kato T. et al. Study Group for Investigating Endoscopic Diagnosis of Gastric Intestinal Metaplasia. Endoscopic diagnosis of gastric intestinal metaplasia: A prospective multicenter study. Digest Endosc 2013; 25: 526-534
- 15 Rugge M, Cappellesso R, Kuipers EJ. Precancerous lesions in the stomach: From biology to clinical patient management. Best Practice & Research Clinical Gastroenterology 2013; 27: 205-223
- 16 Capelle LG, de Vries AC, Haringsma J. et al. The staging of gastritis with the OLGA system by using intestinal metaplasia as an accurate alternative for atrophic gastritis. Gastrointest Endosc 2010; 71: 1150-1158
- 17 Anonymous. Live flukes and Helicobacter pylori. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans, Lyon, 7–14 June 1994. IARC Monogr. Eval Carcinog Risks Hum 1994; 61: 1-241
- 18 Fock KM, Talley N, Moayyedi P. et al. Asia-Pacific Gastric Cancer Consensus Conference. Asia-Pacific consensus guidelines on gastric cancer prevention. J Gastroenterol Hepatol 2008; 23: 351-365
- 19 Watabe H, Mitsushima T, Yamaji Y. et al. Predicting the development of gastric cancer from combining Helicobacter pylori antibodies and serum pepsinogen status: a prospective endoscopic cohort study. Gut 2005; 54: 764-768
- 20 de Vries AC, van Grieken NC, Looman CW. et al. Gastric cancer risk in patients with premalignant gastric lesions: a nationwide cohort study in the Netherlands. Gastroenterology 2008; 134: 945-952
- 21 Song H, Ekheden IG, Zheng Z. et al. Incidence of gastric cancer among patients with gastric precancerous lesions: observational cohort study in a low risk Western population. BMJ 2015; 351: h3867
- 22 Whiting JL, Sigurdsson A, Rowlands DC. et al. The long term results of endoscopic surveillance of premalignant gastric lesions. Gut 2002; 50: 378-381
- 23 Yokoyama I. Clinical study on endoscopic diagnosis of intestinal metaplasia. Gastroenterolog Endosc 1975; 17: 65-75
- 24 Kaminishi M, Yamaguchi H, Nomura S. et al. Endoscopic classification of chronic gastritis based on a pilot study by the Research Society for Gastritis. Dig Endosc 2002; 14: 138-151
- 25 Nagata N, Shimbo T, Akiyama J. et al. Predictability of gastric intestinal metaplasia by mottled patchy erythema seen on endoscopy. Gastroenterol Res 2011; 4: 203-209
- 26 Yip HC, Uedo N, Chan SM. et al. An international survey on recognition and characterization of atrophic gastritis and intestinal metaplasia. Endosc Int Open 2020; 8: E1365-E1370
- 27 Bansal A, Ulusarac O, Mathur S. et al. Correlation between narrow band imaging and nonneoplastic gastric pathology: A pilot feasibility trial. Gastrointest Endosc 2008; 67: 210-216
- 28 Bai AD, Showler A, Burry L. et al. Clinical prediction rules in Staphylococcus aureus bacteremia demonstrate the usefulness of reporting likelihood ratios in infectious diseases. Eur J Clin Microbiol Infect Dis 2016; 35: 1393-1398
- 29 Singh R, Lee SY, Vijay N. et al. Update on narrow band imaging in disorders of the upper gastrointestinal tract. Digestive Endoscopy 2014; 26: 144-153
- 30 Kanzaki H, Uedo N, Ishihara R. et al. Comprehensive investigation of areae gastricae pattern in gastric corpus using magnifying narrow band imaging endoscopy in patients with chronic atrophic fundic gastritis. Helicobacter 2012; 17: 224-231
- 31 Kanemitsu T, Yao K, Nagahama T. et al. Extending magnifying NBI diagnosis of intestinal metaplasia in the stomach: the white opaque substance marker. Endoscopy 2017; 49: 529-535
- 32 Lee JS, Jeon SW, Kwon YH. Comparative Study of narrow-band imaging and i-scan for predicting the histology of intermediate-to-large colorectal polyps: a prospective, randomized pilot study. Clin Endosc 2021; 54: 881-887