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Background@#Determining the Helicobacter pylori (H. pylori) infection state during the gastroscopic process is important but still challenging. The linked color imaging (LCI) technique might emphasize the mucosal color change after H. pylori infection, which might help the diagnosis. In the present study, we aimed to compare the LCI technique with traditional white light imaging (WLI) endoscopy for diagnosing active H. pylori infection.@*Methods@#We collected and analyzed gastroscopic images from 103 patients in our hospital from November 2017 to March 2018, including both LCI and WLI modes. All images were randomly disordered and independently evaluated by four endoscopists who were blinded to the H. pylori status of patients. In addition, the H. pylori state was determined by both rapid urease test and pathology staining. The sensitivity, specificity, positive prediction value (PPV), and negative prediction value (NPV) were calculated for the detection of H. pylori infection. Moreover, the kappa value and interclass correlation coefficient (ICC) were used to evaluate the inter-observer variety by SPSS 24.0 software.@*Results@#Of the 103 enrolled patients, 27 of them were positive for H. pylori infection, while the 76 patients were negative. In total, 388 endoscopic images were selected, including 197 WLI and 191 LCI. The accuracy rate for H. pylori evaluation in the corpus LCI group was significantly higher than other groups (81.2% vs. 64.3%-76.5%, χ2 = 34.852, P < 0.001). Moreover, the corpus LCI group had the optimal diagnostic power with the sensitivity of 85.41% (95% confidence interval [CI]: 76.40%-91.51%), the specificity of 79.71% (95% CI: 74.38%-84.19%), the PPV of 59.42% (95% CI: 50.72%-67.59%), and the NPV of 94.02% (95% CI: 89.95%-96.56%), respectively. The kappa values between different endoscopists were higher with LCI than with WLI (0.433-0.554 vs. 0.331-0.554). Consistently, the ICC value was also higher with LCI than with WLI (0.501 [95% CI: 0.429-0.574] vs. 0.397 [95% CI: 0.323-0.474]). We further analyzed the factors that might lead to misjudgment, revealing that active inflammation might disturb WLI judgment (accuracy rate: 58.70% vs. 76.16%, χ2 = 21.373, P < 0.001). Atrophy and intestinal metaplasia might affect the accuracy of the LCI results (accuracy rate: 66.96% vs. 73.47%, χ2 = 2.027; 68.42% vs. 73.53 %, χ2 = 1.594, respectively); however, without statistical significance (P = 0.154 and 0.207, respectively).@*Conclusions@#The application of LCI at the corpus to identify H. pylori infection is reliable and superior to WLI. The inter-observer variability is lower with LCI than with WLI.@*Trial registration@#Chinese Clinical Trial Registry: ChiCTR1800016730; http://www.chictr.org.cn/showproj.aspx?proj=28400
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Objective To investigate the value of NICE classification on real-time diagnosis for neoplastic and non-neoplastic colorectal polyps. Methods The histological type of 107 polypoid lesions from 50 patients detected by colonoscopy was predicted by 4 endoscopic physicians using NICE classification, including 1 chief physician, 2 associate chief physician, and 1 attending physician. Taking pathological result as gold standard, the real-time diagnostic accuracy of NICE classification for neoplastic colorectal polyps was evaluated, and the differences of diagnostic accuracy between the 4 endoscopic physicians were compared. Results Among the 107 polypoid lesions, 49 were neoplastic polyps and 58 were non-neoplastic polyps. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of NICE classification on determination of the histological type of polyps were 81. 6% (40/49), 70. 0% (40/58), 74. 8% ( 80/107) , 70. 0%( 40/58) , and 81. 6%( 40/49) , respectively. There was no statistical difference on the prediction ability between the 4 physicians using NICE classification. Conclusion NICE classification is a feasible method for real-time prediction of histology type of colorectal polyps, and it is undemanding to the qualifications of physicians.
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Objective To investigate the value of NICE classification on real-time diagnosis for neoplastic and non-neoplastic colorectal polyps. Methods The histological type of 107 polypoid lesions from 50 patients detected by colonoscopy was predicted by 4 endoscopic physicians using NICE classification, including 1 chief physician, 2 associate chief physician, and 1 attending physician. Taking pathological result as gold standard, the real-time diagnostic accuracy of NICE classification for neoplastic colorectal polyps was evaluated, and the differences of diagnostic accuracy between the 4 endoscopic physicians were compared. Results Among the 107 polypoid lesions, 49 were neoplastic polyps and 58 were non-neoplastic polyps. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of NICE classification on determination of the histological type of polyps were 81. 6% (40/49), 70. 0% (40/58), 74. 8% ( 80/107) , 70. 0%( 40/58) , and 81. 6%( 40/49) , respectively. There was no statistical difference on the prediction ability between the 4 physicians using NICE classification. Conclusion NICE classification is a feasible method for real-time prediction of histology type of colorectal polyps, and it is undemanding to the qualifications of physicians.
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Globally white-light endoscopy with biopsy sampling is the gold standard diagnostic modality for esophageal, gastric, and colonic pathologies. However, there is overwhelming evidence to highlight the deficiencies of an approach based predominantly on eyeball visualization. Biopsy sampling is also problematic due in part to excessive sampling and hence attendant cost. Various innovations are currently taking place in the endoscopic domain to aid operators in diagnosis forming. These include narrow band imaging which aims to enhance the surface anatomy and vasculature, and confocal laser endomicroscopy which provides real time histological information. However, both of these tools are limited by the skill of the operator and the extensive learning curve associated with their use. There is a gap therefore for a new form of technology that relies solely on an objective measure of disease and reduces the need for biopsy sampling. Raman spectroscopy (RS) is a potential platform that aims to satisfy these criteria. It enables a fingerprint capture of tissue in relation to the protein, DNA, and lipid content. This focused review highlights the strong potential for the use of RS during endoscopic gastroenterological examination.
Subject(s)
Biopsy , Colon , Colonic Diseases , Dermatoglyphics , Diagnosis , DNA , Endoscopy , Learning Curve , Narrow Band Imaging , Pathology , Spectrum Analysis, RamanABSTRACT
The morbidity and mortality of tumors of digestive system is much higher in recent years .Realizing diagnosis of early phase tumors can improve the surgical resection rate and prolong survival time of patients .Compared with traditional diagnosis methods, multiphoton microscopy has got an obvious improvement in the penetration depth .Furthermore, phototoxicity and photo-bleaching has been largely reduced .Combining with the second harmonic microscopy , the change of collagen fibers can be observed in the organization.MPM can achieve early diagnosis of cancer at the cellular level .Therefore, multiphoton microscopy , with the imaging characteristics of unique high resolution , real-time, nondestructive , deeply spectral resolution , is of great potential in the diagnosis of early stage tumors of digestive system .Based on the latest research results , this review summarizes the latest progress of multiphoton microscopy diagnosing early phase of gastrointestinal tumor .