Usefulness of magnifying endoscopy with narrow-band imaging for diagnosis of depressed gastric lesions
- Authors:
- Hiroaki Sumie
- Shuji Sumie
- Keita Nakahara
- Yasutomo Watanabe
- Ken Matsuo
- Michita Mukasa
- Takeshi Sakai
- Hikaru Yoshida
- Osamu Tsuruta
- Michio Sata
View Affiliations
Affiliations: Division of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume, Fukuoka 830-0011, Japan, Prevention Center for Adult Diseases, Saga Medical Association, Saga, Saga 849-0942, Japan, Saiseikai Futsukaichi Hospital, Chikushino, Fukuoka 818-8516, Japan
- Published online on: November 13, 2013 https://doi.org/10.3892/mco.2013.213
-
Pages:
129-133
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Abstract
The usefulness of magnifying endoscopy with narrow‑band imaging (ME-NBI) for the diagnosis of early gastric cancer is well known, however, there are no evaluation criteria. The aim of this study was to devise and evaluate a novel diagnostic algorithm for ME-NBI in depressed early gastric cancer. Between August, 2007 and May, 2011, 90 patients with a total of 110 depressed gastric lesions were enrolled in the study. A diagnostic algorithm was devised based on ME-NBI microvascular findings: microvascular irregularity and abnormal microvascular patterns (fine network, corkscrew and unclassified patterns). The diagnostic efficiency of the algorithm for gastric cancer and histological grade was assessed by measuring its mean sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. Furthermore, inter- and intra-observer variation were measured. In the differential diagnosis of gastric cancer from non‑cancerous lesions, the mean sensitivity, specificity, PPV, NPV, and accuracy of the diagnostic algorithm were 86.7, 48.0, 94.4, 26.7, and 83.2%, respectively. Furthermore, in the differential diagnosis of undifferentiated adenocarcinoma from differentiated adenocarcinoma, the mean sensitivity, specificity, PPV, NPV, and accuracy of the diagnostic algorithm were 61.6, 86.3, 69.0, 84.8, and 79.1%, respectively. For the ME-NBI final diagnosis using this algorithm, the mean κ values for inter- and intra-observer agreement were 0.50 and 0.77, respectively. In conclusion, the diagnostic algorithm based on ME-NBI microvascular findings was convenient and had high diagnostic accuracy, reliability and reproducibility in the differential diagnosis of depressed gastric lesions.
View References
1.
|
Parkin DM, Bray F, Ferlay J and Pisani P:
Global cancer statistics, 2002. CA Cancer J Clin. 55:74–108. 2005.
View Article : Google Scholar
|
2.
|
Catalano V, Labianca R, Beretta GD, Gatta
G, de Braud F and Van Cutsem E: Gastric cancer. Crit Rev Oncol
Hematol. 71:127–164. 2009. View Article : Google Scholar
|
3.
|
Oliveira FJ, Ferrao H, Furtado E, Batista
H and Conceicao L: Early gastric cancer: report of 58 cases.
Gastric Cancer. 1:51–56. 1998. View Article : Google Scholar : PubMed/NCBI
|
4.
|
Isomoto H, Shikuwa S, Yamaguchi N, et al:
Endoscopic submucosal dissection for early gastric cancer: a
large-scale feasibility study. Gut. 58:331–336. 2009. View Article : Google Scholar : PubMed/NCBI
|
5.
|
Tajiri H, Ohtsu A, Boku N, et al: Routine
endoscopy using electronic endoscopes for gastric cancer diagnosis:
retrospective study of inconsistencies between endoscopic and
biopsy diagnoses. Cancer Detect Prev. 25:166–173. 2001.
|
6.
|
Capelle LG, Haringsma J, de Vries AC, et
al: Narrow band imaging for the detection of gastric intestinal
metaplasia and dysplasia during surveillance endoscopy. Dig Dis
Sci. 55:3442–3448. 2010. View Article : Google Scholar : PubMed/NCBI
|
7.
|
Tahara T, Shibata T, Nakamura M, et al:
Gastric mucosal pattern by using magnifying narrow-band imaging
endoscopy clearly distinguishes histological and serological
severity of chronic gastritis. Gastrointest Endosc. 70:246–253.
2009. View Article : Google Scholar
|
8.
|
Tsuji Y, Ohata K, Sekiguchi M, et al:
Magnifying endoscopy with narrow-band imaging helps determine the
management of gastric adenomas. Gastric Cancer. 15:414–418. 2012.
View Article : Google Scholar : PubMed/NCBI
|
9.
|
Hirata I, Nakagawa Y, Ohkubo M, Yahagi N
and Yao K: Usefulness of magnifying narrow-band imaging endoscopy
for the diagnosis of gastric and colorectal lesions. Digestion.
85:74–79. 2012. View Article : Google Scholar : PubMed/NCBI
|
10.
|
Nakayoshi T, Tajiri H, Matsuda K, Kaise M,
Ikegami M and Sasaki H: Magnifying endoscopy combined with narrow
band imaging system for early gastric cancer: correlation of
vascular pattern with histopathology (including video). Endoscopy.
36:1080–1084. 2004. View Article : Google Scholar
|
11.
|
Yao K, Anagnostopoulos GK and Ragunath K:
Magnifying endoscopy for diagnosing and delineating early gastric
cancer. Endoscopy. 41:462–467. 2009. View Article : Google Scholar : PubMed/NCBI
|
12.
|
Kaise M, Kato M, Urashima M, et al:
Magnifying endoscopy combined with narrow-band imaging for
differential diagnosis of superficial depressed gastric lesions.
Endoscopy. 41:310–315. 2009. View Article : Google Scholar : PubMed/NCBI
|
13.
|
Ezoe Y, Muto M, Horimatsu T, et al:
Magnifying narrow-band imaging versus magnifying white-light
imaging for the differential diagnosis of gastric small depressive
lesions: a prospective study. Gastrointest Endosc. 71:477–484.
2010. View Article : Google Scholar
|
14.
|
Kato M, Kaise M, Yonezawa J, et al:
Magnifying endoscopy with narrow-band imaging achieves superior
accuracy in the differential diagnosis of superficial gastric
lesions identified with white-light endoscopy: a prospective study.
Gastrointest Endosc. 72:523–529. 2010. View Article : Google Scholar
|
15.
|
Yao K, Iwashita A, Tanabe H, et al: Novel
zoom endoscopy technique for diagnosis of small flat gastric
cancer: a prospective, blind study. Clin Gastroenterol Hepatol.
5:869–878. 2007. View Article : Google Scholar : PubMed/NCBI
|
16.
|
Japanese Gastric Cancer Association:
Japanese classification of gastric carcinoma: 3rd English edition.
Gastric Cancer. 14:101–112. 2011. View Article : Google Scholar : PubMed/NCBI
|
17.
|
Ono H, Kondo H, Gotoda T, et al:
Endoscopic mucosal resection for treatment of early gastric cancer.
Gut. 48:225–229. 2001. View Article : Google Scholar : PubMed/NCBI
|
18.
|
Japanese Gastric Cancer Association:
Japanese gastric cancer treatment guidelines 2010 (ver. 3). Gastric
Cancer. 14:113–123. 2011. View Article : Google Scholar : PubMed/NCBI
|
19.
|
Xuan ZX, Ueyama T, Yao T and Tsuneyoshi M:
Time trends of early gastric carcinoma. A clinicopathologic
analysis of 2846 cases. Cancer. 72:2889–2894. 1993. View Article : Google Scholar : PubMed/NCBI
|
20.
|
Hirota T, Itabashi M, Daibo M, et al:
Chronological changes in the morphological features of early
gastric cancer, especially recent changes in macroscopic findings.
Jpn J Clin Oncol. 14:181–199. 1984.
|
21.
|
Hyung WJ, Cheong JH, Kim J, Chen J, Choi
SH and Noh SH: Application of minimally invasive treatment for
early gastric cancer. J Surg Oncol. 85:181–185. 2004. View Article : Google Scholar : PubMed/NCBI
|