scholarly journals Utility of Japan Narrow Band Imaging Expert Team Classification Using Narrow Band Imaging for Evaluation of Colonic Polyps

2020 ◽  
Vol 11 (02) ◽  
pp. 138-145
Author(s):  
Dipak S. Ahire ◽  
Pravin M. Rathi ◽  
Niranjan H. Banka ◽  
Parth K. Shah

Abstract Background Narrow band imaging (NBI) is an advanced endoscopic imaging technique that enhances visualization of the mucosal surface and is used as a screening tool for colonic polyps. Its usefulness is currently explored to a lesser extent in India. So, we assessed the utility of Japan NBI Expert Team (JNET) classification for characterization of colorectal polyps. Methods A prospective observational study was performed from January 2018 to June 2019 of patients undergoing colonoscopy at a tertiary care hospital. NBI image of polyps was captured followed by either polypectomy/biopsy. Histopathology results were correlated with the pattern revealed by NBI on polyps using the JNET classification. Results A total of 80 patients, 61(76.25%) male with a mean (standard deviation [SD]) age of 58.41 ± 14.59 years were included. Out of the 90 lesions, 23 (25.5%) had type-1 pattern, 45 (50%) had 2A, 13 (14.4%) had 2B, and 9 (10%) had type-3 pattern. On histopathology, majority 51 (59.3%) were found to be adenomatous with low-grade intramucosal neoplasia. When correlating our results with JNET category type 1 and hyperplastic polyps, the sensitivity was 90%, specificity was 97%, negative predictive value was 97%, positive predictive value was 90%, and diagnostic accuracy was 96%. Correlating type 2A and low-grade intramucosal neoplasia had results of 78, 87, 76, 90, and 82%, respectively. Correlating type 2B and high-grade intramucosal neoplasia had results of 83, 90, 99, 38, and 90%, respectively. Correlating type 3 and deep submucosal cancer had results of 88, 98, 99, 78, and 97%, respectively. Conclusion NBI shows excellent probability to exclude carcinoma possibilities based on the changes in colonic mucosal features. Owing to slightly lower sensitivity for type 2B, it needs additional investigation using pit pattern diagnosis. We demonstrated the high-diagnostic performance of NBI in making an accurate diagnosis of early colorectal cancers in colonoscopy. Further refinement in the NBI technology might add to the current evidence for characterization of polyps.

2021 ◽  
Vol 09 (02) ◽  
pp. E271-E277
Author(s):  
Renma Ito ◽  
Hiroaki Ikematsu ◽  
Tatsuro Murano ◽  
Kensuke Shinmura ◽  
Motohiro Kojima ◽  
...  

Abstract Background and study aims The Japan Narrow-band imaging (NBI) Expert Team (JNET) classification was proposed for evaluating colorectal lesions. However, it remains unknown whether the JNET classification can be applied to magnifying endoscopy with image-enhanced endoscopies other than NBI. This study aimed to compare the diagnostic ability of JNET classification by magnifying endoscopy with blue laser imaging (ME-BLI) and with ME-NBI. Patients and methods We retrospectively assessed consecutive patients diagnosed per the JNET classification by ME-BLI (BLI group) or ME-NBI (NBI group) between March 2014 and June 2017. We compared the diagnostic value of JNET classification between the groups with one-to-one propensity score matching. Results Four hundred and seventy-one propensity score-matched pairs of lesions were analyzed. In the BLI and NBI groups, the overall diagnostic accuracies were 92.1 % and 91.7 %, respectively, and those for differentiating between neoplastic and non-neoplastic polyps were 96.6 % and 96.8 %, respectively. The positive predictive value by each JNET classification in BLI vs. NBI group was 90.6 % vs. 96.2 % in Type 1, 94.3 % vs. 94.6 % in Type 2A, 57.7 % vs. 42.3 % in Type 2B, and 100 % vs. 91.7 % in Type 3. The negative predictive value was 97.0 % vs. 96.9 % in Type 1, 88.1 % vs. 82.8 % in Type 2A, 98.0 % vs. 98.2 % in Type 2B, and 98.5 % vs. 98.7 % in Type 3. No statistical difference in the diagnostic results was found between the groups. Conclusions The diagnostic ability of the JNET classification by ME-BLI and ME-NBI was comparable, with the former also applicable for diagnosis of colorectal lesions.


Endoscopy ◽  
2008 ◽  
Vol 40 (10) ◽  
pp. 811-817 ◽  
Author(s):  
J. East ◽  
N. Suzuki ◽  
P. Bassett ◽  
M. Stavrinidis ◽  
H. Thomas ◽  
...  

2020 ◽  
Vol 4 (3) ◽  
pp. 100-107
Author(s):  
Shinya Sugimoto ◽  
Tadashi Yabana ◽  
Tatsuma Nomura ◽  
Satoshi Hayashi ◽  
Naoko Okuda ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Taweesak Tongtawee ◽  
Soraya Kaewpitoon ◽  
Natthawut Kaewpitoon ◽  
Chavaboon Dechsukhum ◽  
Ryan A. Loyd ◽  
...  

Background and Aim. Identifying specific gastric mucosal morphologic patterns useful for detectingHelicobacter pyloriassociated gastritis and correlation with histopathological severity.Methods. The endoscopists classified the C-NBI gastroscopic findings into 5 gastric mucosal morphologic patterns as follows: type 1: regular arrangement of collecting venules, type 2: cone-shaped gastric pits, type 3: rod-shaped gastric pits with prominent sulci, type 4: ground glass-like morphology, and type 5: dark brown patches with bluish margin and irregular border. Biopsies of all of the cases were then evaluated by 5 pathologists for definitiveHelicobacter pyloridiagnosis.Result. Type 1 and type 2 patterns were statistically significant in predictingHelicobacter pylorinegative status (58/60,P<0.01). Type 3, type 4, and type 5 patterns were statistically significant in predictingHelicobacter pyloripositive status (132/140,P<0.01). Furthermore, the sensitivity, specificity, and positive and negative predictive values of type 3, 4, or 5 morphologies for predictingHelicobacter pyloripositive were 94.28%, 96.66%, 98.50%, and 87.87%, respectively, correlated well with inflammation grading according to the Sydney classification (P<0.01).Conclusion. Our study suggests that gastric mucosal morphologic patterns in theHelicobacter pyloriinfected gastric mucosa can be reliably identified using C-NBI gastroscopy with good correlation with inflammation grading.


2006 ◽  
Vol 63 (5) ◽  
pp. AB207
Author(s):  
Andreas Probst ◽  
Max Bittinger ◽  
Gertrud Jechart ◽  
Reinhard Scheubel ◽  
Helmut Messmann

2018 ◽  
Vol 63 (10) ◽  
pp. 2489-2491
Author(s):  
Silvia Paggi ◽  
Cesare Hassan ◽  
Franco Radaelli

2019 ◽  
Vol 27 (3) ◽  
pp. 230949901988519
Author(s):  
Hiroto Kobayashi ◽  
Kenji Endo ◽  
Yasunobu Sawaji ◽  
Yuji Matsuoka ◽  
Hirosuke Nishimura ◽  
...  

Purpose: Global sagittal spinal alignment undergoes changes on the basis of sagittal malalignment (trunk inclined forward) in natural degenerative progression. We hypothesized that this change would associate with the disease state of the degenerative lumbar spondylolisthesis (DS). This study aimed to evaluate the global sagittal spinal alignment of low-grade DS by classifying in accordance with sagittal vertical axis (SVA). Methods: The DS group was classified into three types according to the adult spinal deformity classification: type 1, SVA < 40 mm; type 2, 40 mm ≤ SVA < 95 mm; and type 3, 95 mm ≤ SVA. Age and sagittal spinal parameters (thoracic kyphosis, lumbar lordosis (LL), sacral slope (SS), pelvic tilt (PT), and pelvic incidence (PI)) were compared among three types. Results: There were statistically significant differences in age, LL, PI, and PT among the three types. In comparison between two types, there was a statistically significant difference between type 1 and type 2 and between type 1 and type 3, but not between type 2 and type 3 in these parameters. PI tended to increase as the type increases. Furthermore, there was significant difference between types 1 and 3. Conclusion: We evaluated the features of the DS types classified by sagittal alignment. Large PI is one of the risk factors for SVA deterioration of DS. PI may be involved in the onset and progression of DS.


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