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Objective:Gastric adenocarcinoma of the fundic gland type (GA-FG) is rare and often occurs in patients who are not infected with Helicobacter pylori. The current study analyzed and summarized the clinical, endoscopic, and pathological features of GA-FG, in an effort to improve its diagnosis. Methods:Patients who were diagnosed with GA-FG and treated with endoscopic submucosal dissection (ESD) resection at the Department of Gastroenterology, First Affiliated Hospital of Zhejiang Chinese Medical University from January 1st 2020 to October 1st 2022 were included in the study. Their clinical manifestations, endoscopic features, pathological immunohistochemistry, and other characteristics were analyzed.Results:A total of 14 patients with GA-FG were included in the study, 5 males and 9 females, with a mean age of 59 years. Most had no substantial clinical manifestations. Twelve patients were H. pylori-negative, all patients underwent ESD resection, and all patients survived during the follow-up period of 13±9 months. Eleven patients had postoperative endoscopic follow-up records, and no recurrence was detected. Fifteen lesions were detected (2 were present in 1 patient). Twelve were located in the upper 1/3 of the stomach, 10 were ≤ 1 cm in diameter, 12 had a morphology of type 0-Ⅱa, 8 had visible discoloration changes, and 12 had visible vasodilation on the surface. Magnified endoscopy and narrow-band imaging indicated that 12 of the lesions had enlarged marginal crypt epithelium, without any obvious microvascular pattern abnormalities and no obvious borderline. After resection the pathological specimens were all without vascular infiltration, and there was no atrophy of the mucosa at the edge of the lesion. In immunohistochemistry analyses MUC-2 was negative in all cases. MUC5AC was negative in 11 cases, MUC-6 was positive in all cases, and Ki-67 was ≤ 5% in 12 cases. Conclusions:GA-FG is a newly identified type of gastric cancer with low malignancy and a good prognosis. Characteristic discoloration and surface dilated vessels are often evident endoscopically. Enlarged marginal crypt epithelium and no visible boundary lines are often apparent in magnification endoscopy and narrow band imaging.
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Objective:To investigate the clinical value of bronchoscopic narrow band imaging combined with serum heat shock protein family 70 (HSP70) and netrin-1 (Ntn1) in the diagnosis of bronchogenic carcinoma.Methods:A retrospective cohort study was conducted. A total of 96 patients with suspected central lung cancer combined with airway obstruction admitted to Shanxi Province Cancer Hospital from January 2021 to January 2022 were retrospectively analyzed. Bronchoscopy and narrow band imaging were performed in all patients. Serum HSP70 and Ntn1 levels were measured by using enzyme-linked immunosorbent assay (ELISA). Pathological biopsy was taken as the gold standard. Receiver operating characteristic (ROC) curves were used to analyze the value of bronchoscopic narrow band imaging combined with serum HSP70 and Ntn1 in the diagnosis of bronchogenic carcinoma.Results:There were 70 males and 26 females in 96 suspected patients, with the age of (46±5) years. According to the pathological results, 72 were diagnosed with central lung cancer, including 43 cases of squamous cell carcinoma, 24 cases of adenocarcinoma, 3 cases of small cell carcinoma, 2 undifferentiated cases,and 24 cases of benign lesions in lung. The sensitivity, specificity, and accuracy of bronchoscopic narrow band imaging in the diagnosis of bronchogenic carcinoma were 90.3%, 79.2% and 87.5%, respectively. The serum HSP70 and Ntn1 levels in patients with lung cancer were higher than those in benign patients (all P < 0.05). ROC curves showed that the optimal cut-off values of HSP70 and Ntn1 in the diagnosis of bronchogenic carcinoma were 10.08 ng/ml and 562.82 pg/ml, respectively. The sensitivity, specificity, and accuracy of serum markers (HSP70 + Ntn1) in the detection of bronchogenic carcinoma were 93.1%, 58.3% and 84.4%, respectively. The sensitivity, specificity, and accuracy of bronchoscopic narrow band imaging combined with serum markers in the diagnosis of bronchogenic carcinoma were 98.6%, 87.5% and 95.8%, respectively; and the diagnostic accuracy of the combined method was higher than that of a single detection method such as bronchoscopic narrow band imaging or serum indexes ( χ2 values were 4.36, 7.07, all P < 0.05). Conclusions:Bronchoscopic narrow band imaging has a good diagnostic value for bronchogenic carcinoma, and the combination of serum HSP70 and Ntn1 can further improve the clinical diagnostic efficacy.
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Objective To analyze the diagnostic efficacy and clinical significance of magnifying endoscopy combined with narrow-band imaging(ME-NBI),acetate-indigo rouge staining and multi-slice spiral CT for early gastric cancer and precancerous lesions.Methods 202 patients with suspected early gastric cancer and precancerous lesions from February 2019 to March 2022 were regarded as the subjects of this study,all the patients underwent ME-NBI,acetate-indigo rouge staining,and multi-slice spiral CT examination;The diagnostic value of different examination methods for early gastric cancer and precancerous lesions was analyzed using the receiver operator characteristic curve(ROC curve),using the pathological results of gastric cancer as the gold standard,the diagnostic value of ME-NBI,acetate-indigo rouge staining combined with multi-slice spiral CT and their combination in early gastric cancer and precancerous lesions was analyzed using a four grid table.Results The image quality of ME-NBI and acetate-indigo rouge staining combined examinations was significantly higher than that of their respective independent examinations(P<0.05).There was significant difference in the degree of differentiation in the clinical features of patients with early gastric cancer and precancerous lesions(P<0.05).The area under the curve(AUC)of ME-NBI for the diagnosis of early gastric cancer and precancerous lesions was 0.853,the accuracy was 85.64%,the sensitivity was 88.37%,and the specificity was 83.62%.The AUC of acetate-indigo rouge staining for the diagnosis of early gastric cancer and precancerous lesions was 0.814,the accuracy was 81.68%,the sensitivity was 83.72%,and the specificity was 80.17%.The AUC of multi-slice spiral CT for the diagnosis of early gastric cancer and precancerous lesions was 0.804,with an accuracy of 80.69%,a sensitivity of 82.56%,and a specificity of 79.31%.And the AUC of the three methods combined to diagnose early gastric cancer and precancerous lesions was 0.893,with an accuracy of 89.60%,a sensitivity of 93.02%,and a specificity of 87.07%.Conclusion ME-NBI,acetate-indigo rouge staining combined with multi-slice spiral CT has high diagnostic efficacy in early gastric cancer and precancerous lesions,and can be used in clinical practice.
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Objective:To investigate the predictive value of mucosal vascular pattern (MVP) under narrow-band imaging (NBI) enteroscopy in patients with ulcerative colitis (UC) in clinical remission for histological healing and clinical recurrence.Methods:A total of 142 patients with UC in clinical remission who visited the First Affiliated Hospital of Weifang Medical University from January 2018 to January 2021 were included in the study and underwent colonoscopy. The white light and NBI endoscopic images were collected and biopsies were obtained. The Mayo endoscopic score (MES) was calculated based on white light images, and MVP staging was evaluated based on mucosal vascular patterns under NBI. Nancy index (NI) was used to evaluate histological healing and patients were followed up for 1 year. The Spearman correlation coefficients of MES and MVP with histological healing and recurrence were calculated. The receiver operator characteristic (ROC) curve was plotted and the area under curve (AUC) was applied to evaluate the accuracy of white light and NBI endoscopy for predicting histological healing of UC in clinical remission.Results:According to the MVP criteria, 47 were defined as clear, 63 blurred, and 32 invisible. Spearman correlation analysis showed a significant correlation between MVP under NBI and histological healing ( r=0.549, P<0.001) and a moderate correlation between MES under white light and histological healing ( r=0.462, P<0.001). Spearman correlation analysis showed a moderate correlation between MVP under NBI and clinical recurrence ( r=0.451, P<0.001) and a moderate correlation between MES under white light and clinical recurrence ( r=0.352, P<0.001). AUC of NBI for diagnosing histological healing of UC in clinical remission was 0.809 (95% CI: 0.738-0.879), with a sensitivity of 84.6% (77/91) and specificity of 64.7% (33/51), superior to the white light endoscopy, of which AUC, sensitivity and specificity were 0.763 (95% CI: 0.678-0.848), 81.3% (74/91) and 66.7% (34/51). Conclusion:MVP staging under NBI could predict histological healing of UC patients in clinical remission and is superior to white light endoscopy.
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Objective:To study the application value of narrow-band imaging in the diagnosis of laryngopharyngeal reflux. Methods:A total of 275 patients admitted to the inpatient department or laryngoscopy room of the Otolaryngology Head and Neck Surgery Department of the First Affiliated Hospital of Harbin Medical University from September 2022 to April 2023 due to throat discomfort were selected as the research subjects. All of them completed RSI, RFS scoring scales and electronic laryngoscopy（including ordinary white light and NBI）. According to the expert consensus of LPRD in 2022, RSI and RFS scoring scale were used as diagnostic criteria to divide them into LPR group and non-LPR group. Chi-square test was used to analyze the differences of positive rates of characteristic manifestations under NBI among different groups. The consistency of NBI and scale diagnostic methods was analyzed by Kappa, and RSI and RFS scoring were used as diagnostic criteria, The diagnostic efficiency of NBI method was analyzed. Results:There were 190 people in the LPR group, 157 of whom showed characteristic performance under the NBI mode, with a positive rate of 82.6%（157/190）; there were 85 people in the non-LPR group, with a positive rate of 18.8%（16/85）. There was a statistically significant difference in the positive rate between the two groups（χ²=102.47, P<0.05）. The consistency rate between RSI, RFS and NBI was 82.2%（226/275）. Kappa consistency analysis was used, and Kappa=0.605（P<0.05）, indicating good consistency between the two diagnostic methods. Using RSI and RFS as diagnostic criteria for LPR, the sensitivity of NBI diagnostic method was 82.6%（157/190）, specificity 81.2%（69/85）, positive predictive value 90.8%（157/173） and negative predictive value 67.6%（69/102）. Conclusion:Narrow-band imaging, as a new endoscopic imaging technique, can show small changes in mucosal surface micro vessels and play an important role in the diagnosis of laryngopharyngeal reflux.
Subject(s)
Humans , Laryngopharyngeal Reflux/diagnostic imaging , Narrow Band Imaging , Laryngoscopy/methods , Pharynx , Predictive Value of Tests摘要
Objective:To investigate the feasibility of combination of en-bloc resection of bladder tumor (ERBT) with the NBI(narrow band imaging) flexible cystoscopy, immunotherapy and chemotherapy in bladder-preserving treatments(called as TMT) for patients with stage T 2 bladder carcinoma. Methods:We retrospectively reviewed and analyzed a series of 16 patients with pT 2N 0M 0 pathologically confirmed. All patients are male with a median age of 63yr(56, 73yr). The American Association of Anesthesiologists scored ≤Ⅱ in 12 cases and Ⅲ in 4 cases. There were 9 cases with smoking history, 5 cases with hypertension, 3 cases with diabetes, and 2 cases with heart disease. The results of preoperative tissue biopsy were all urothelial carcinoma. All patients were taken lithotomy position and performed ERBT with NBI imaging technique and thulium-laser energy platform under general anesthesia. The tumor was brown and the surrounding normal mucosa was cyan in color. The procedure was ensured with a minimal tumor margin of 1cm and minimal rection depth to the deep musculi, and with the acquirement for the en-bloc specimen of which the basal site was marked afterwards, the patients all took a full length of chemoimmunotherapy (four cycles of Tislelizumab combined with Gemcitabine and cisplatin regimens) followed by a secondary ERBT. The perioperative data from sequential operations including complications were comprehensively analyzed for evaluating the therapeutic outcome and safety. All patients received a follow-up to detect efficacy and safety of the treatment with the primary end point of pCR, downgrading rate and objective response rate. Results:All operations were successfully completed. There was no obturator reflex, severe bleeding or grade Ⅱ bladder perforation, only 4 patients got a grade Ⅰ bladder perforation. The postoperative 30-day complication occured in 2 cases(1 pt with hematuresis, 1 pt with bladder irritation). The pathologic complete response rate and tumor downstaging rate were 100%. One patient recurred during a median follow-up of 13.0 months (6, 36 months).Conclusions:The En Bloc Resection of Bladder Tumor with the narrow band imaging (NBI) flexible cystoscopy has several remarkable advantages, including a better intra-operative visual, a lower complication rate and tumor residual. The combination of ERBT with immunotherapy and chemotherapy lead to affirmative curative effect and the feasibility for clinical application is relatively high.
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Abstract Introduction: Traditional meta-analyses on the diagnostic accuracy of oral lesions have been conducted, but they were inherently limited to direct pairwise comparisons between a single method and a single alternative, while multiple diagnostic options and the ranking thereof were methodologically not possible. Objective: To evaluate the diagnostic values of various methods in patients with oral potential malignant disease by performing a network meta-analysis. Methods: Two authors independently searched the databases (MEDLINE, SCOPUS, the Cochrane Register of Controlled Trials, and Google scholar) up to June 2020 for studies comparing the diagnostic accuracy of various tools (autofluorescence, chemiluminescence, cytology, narrow band imaging, and toluidine blue) with visual examination or other tools. The outcomes of interest for this analysis were sensitivity, specificity, negative predictive value, positive predictive value and accuracy. Both a standard pairwise meta-analysis and network meta-analysis were conducted. Results: Treatment networks consisting of six interventions were defined for the network metaanalysis. The results of traditional meta-analysis showed that, among six methods, narrow band imaging showed higher sensitivity, specificity, negative predictive value, positive predictive value, and accuracy compared to visual examination. The results of network meta-analysis showed that autofluorescence, chemiluminescence, and narrow band imaging had higher sensitivity compared with visual examination, and that chemiluminescence and narrow band imaging had higher negative predictive value compared with visual examination. However, autofluorescence and chemiluminescence had lower specificity compared with visual examination. There were no significant differences in positive predictive value and accuracy among the six interventions. Conclusion: This study demonstrated that narrow banding imaging has superiority in terms of sensitivity and negative predictive value compared with the other five tested agents.
Resumo Introdução: Metanálises tradicionais sobre a precisão diagnóstica de lesões orais têm sido conduzidas, mas são inerentemente limitadas a comparações pareadas diretas entre um único método e uma única opção, enquanto múltiplas opções de diagnóstico e suas classificações ainda não foram metodologicamente possíveis. Objetivo: Avaliar os valores diagnósticos de vários métodos em pacientes com doença oral potencialmente maligna e fazer uma metanálise de rede. Método: Dois autores pesquisaram independentemente os bancos de dados (Medline, Scopus, Cochrane Register of Controlled Trials e Google Scholar) até junho de 2020 para estudos que comparassem a precisão diagnóstica de várias ferramentas (autofluorescência, quimioluminescência, citologia, imagem de banda estreita e cloreto de tolônio) com exame visual ou outras ferramentas. Os resultados de interesse para esta análise foram sensibilidade, especificidade, valor preditivo negativo, valor preditivo e precisão. Tanto uma metanálise pareada padrão quanto uma metanálise de rede foram conduzidas. Resultados: Redes de tratamento compostas por seis intervenções foram definidas para a metanálise de rede. Os resultados da metanálise tradicional mostraram que, entre seis métodos, a imagem de banda estreita apresentou maior sensibilidade, especificidade, valor preditivo negativo, valor preditivo e precisão em comparação ao exame visual. Os resultados da metanálise de rede mostraram que a autofluorescência, a quimioluminescência e a imagem de banda estreita obtiveram maior sensibilidade em comparação com o exame visual e que a quimioluminescência e a imagem de banda estreita apresentaram maior valor preditivo negativo em comparação com o exame visual. Entretanto, a autofluorescência e a quimioluminescência mostraram especificidade inferior em comparação com o exame visual. Não houve diferenças significativas no valor preditivo e na precisão entre as seis intervenções. Conclusão: Este estudo demonstrou que a imagem de banda estreita demonstra superioridade em termos de sensibilidade e valor preditivo negativo em comparação com os outros cinco agentes testados.
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Background: Real time visual differentiation of colorectal polyps into benign and malignant helps to decide the appropriate treatment strategy and avoid the unnecessary risk associated with endoscopic therapies and need for repeat procedures. The Japan NBI Expert Team (JNET) classification developed in 2014 classifies colorectal polyps into types 1(Hyperplastic polyps including sessile serrated polyps), 2A (low grade dysplasia), 2B (high grade dysplasia/ superficial submucosal invasive carcinomas) and 3 (deep submucosal invasive carcinomas). We conducted this study to evaluate the diagnostic accuracy of the JNET classification for colorectal polyps. Methods: All patients undergoing colonoscopy in a tertiary care Centre in south India from February to July 2020, who had colorectal polyps were included in the study. A prospective image evaluation to identify the JNET class was done by 2 independent observers blinded to the histological diagnosis and the result was compared with the final histopathological diagnosis. Inflammatory polyps were excluded. The collected data was statistically analyzed to assess the diagnostic accuracy. Result: 139 polyps from 102 patients were included in the study. Most common locations were ascending colon (31%) or rectosigmoid (30.3%). 21 polyps were hyperplastic polyps, 78 polyps were LGD, 23 were HGD/SM-S and 17 were SM-D polyps. On NBI imaging, 23, 76, 30, and 10 polyps were classified as JNET types 1, 2a, 2b and 3 respectively. The diagnostic accuracy of JNET classification was 98.5%, 88.4%, 83% and 93.5% respectively. Conclusion: The JNET classification has a high diagnostic accuracy for predicting the histology of colorectal polyps and hence recommended.
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Objective:To evaluate type B2 vessels for predicting the invasion depth of superficial esophageal squamous cell carcinoma (SESCC) under narrow band imaging-magnifying endoscopy (NBI-ME), and to analyse the influencing factors of over-prediction and under-prediction.Methods:A total of 86 SESCC patients with 86 lesions confirmed by postoperative pathology, who underwent NBI-ME to evaluate the invasion depth of esophageal tumor and were observed for type B2 vessels in Department of Digestive Endoscopy of Fujian Provincial Hospital from January 2015 to April 2020, were included in the case-control study. According to the postoperative pathological results, the patients were divided into the correct prediction group ( n=25) and the wrong prediction group ( n=61), and the accuracy of prediction was calculated. The wrong prediction group was further divided into the over-prediction group ( n=49) and the under-prediction group ( n=12) to find the influencing factors of over-prediction and under-prediction, respectively. Further, multivariate Logistic analysis was performed to explore the independent influential factors for the prediction. Results:The accuracy of type B2 vessels under NBI-ME for predicting the invasion depth of SESCC was only 29.07% (25/86), and the over-prediction rate and under-prediction rates were 56.98% (49/86) and 13.95% (12/86), respectively. Univariate analysis showed that the classification of type B2 area ( χ2=36.25, P<0.001), the distinct endoscopic features (nodules, thickening and obvious depression, χ2=22.90, P<0.001), and inflammation around type B2 vessels ( χ2=9.54, P=0.004) were related to the over-prediction of the invasion depth of SESCC, and the distinct endoscopic features were related to the under-prediction of the invasion depth ( P=0.016). Multivariate Logistic regression analysis showed that B2-narrow (type B2 area ≤5 mm) ( P<0.001, OR=241.988,95% CI:15.229-3 845.252) and inflammation around type B2 vessels ( P=0.033, OR=12.801, 95% CI: 1.226-133.713) were independent risk factors for over-predicting the invasion depth of SESCC, while the distinct endoscopic features were independent protective factors for over-prediction ( P<0.001, OR=0.012, 95% CI: 0.001-0.150). The distinct endoscopic feature was an independent risk factor for under-predicting invasion depth of SESCC with type B2 vessels ( P=0.027, OR=7.899, 95% CI: 1.259-49.565). Conclusion:The accuracy of predicting the invasion depth of SESCC is low only based on type B2 vessels in NBI-ME, and over-prediction is prone to occur. B2-narrow, inflammation around type B2 vessels and without nodules, thickening and obvious depression are closely related to the over-prediction of invasion depth of SESCC by type B2 in NBI-ME, and nodules, thickening and obvious depression are closely associated with the under-prediction. However, whether the combined assessment of type B2 vessels under NBI-ME and endoscopic manifestation can improve the accuracy of prediction needs to be confirmed by further studies.
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To investigate the diagnostic value of narrow-band imaging (NBI) endoscopy for esophageal polyps in children. Microscopic morphology of various polyps in 35 children with esophageal polyps in Children's Hospital of Shanghai from January 2016 to June 2020 were observed under both traditional white light endoscopy and NBI endoscopy. The sensitivity and specificity of traditional white light endoscopy and NBI endoscopy were compared with the pathological results as the gold standard. A total of 70 esophageal polypoid lesions were found in 35 children, including 27 single polyps. Pathological results indicated that the majority of polyps were non-neoplastic polyps (52.9%, 37/70).The sensitivity of NBI endoscopy in the diagnosis of esophageal neoplastic polyps was significantly higher than that of white light endoscopy [93.9% (31/33) VS 90.9% (30/33), P < 0.001], and the specificity was also higher [89.2% (33/37) VS 78.4% (29/37), P=0.864]. By observing the microscopic structure of esophageal polyps, NBI endoscopy contributes to the clinical prediction of the pathological properties of polyps. Its sensitivity is superior to the white light endoscopy.
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Objective:To investigate the predictive value of mucosal vascular pattern (MVP) in colonic epithelial proliferation of patients with ulcerative colitis (UC) under narrow-band imaging (NBI) colonoscopy.Methods:From December 1, 2012 to January 31, 2015, 42 patients with UC visiting Peking Union Medical College Hospital and receiving NBI colonoscopy were selected. The images of 119 colorectal lesions of all the patients under the conventional white light and NBI endoscopy were collected and at least one biopsy of each lesion was obtained for histological assessment. All the endoscopic images were randomly allocated to one endoscopist (associated chief physician) for the MVP and the Mayo endoscopic score (MES) assessment. The degree of mucosal inflammation was graded from 0 to 4 according to the histological colitis score. The degree and distribution of Ki-67 expression were evaluated by immunohistochemical staining. Student-Newman-Keuls (SNK)- q test and Spearman rank correlation analysis were used for statistical analysis. Results:Under NBI colonoscopy, the MVP of patients with UC was divided into clear type, obscure type and absent type. According to the morphology of mucosal glandular duct, the absent type was divided into crypt opening subtype and villous subtype. There was a positive correlation between MVP under NBI mode and the MES under white light mode ( r=0.80, P<0.001). The Ki-67 staining indexes of MVP obscure type, absent type, crypt opening subtype and villous subtype of absent type were all higher than that of MVP clear type (30.3±12.8, 45.9±12.5, 45.5±12.1 and 46.3±13.1 vs. 15.6±7.3), and the differences were statistically significant (SNK- q test, all P<0.001); and the Ki-67 staining indexes of MVP absent type, crypt opening subtype and villous subtype of MVP absent type were all higher than that of MVP obscure type, and the differences were statistically significant (SNK- q test, all P<0.001). There was a positive correlation between the MVP type under NBI colonoscopy and the distribution of Ki-67 expression ( r=0.49, P<0.001). The Ki-67 staining indexes of inflammation grade 2, 3 and 4 were higher than that of grade 1 (28.8±10.9, 40.2±11.6 and 49.5±10.3 vs. 17.1±8.4), and the difference was statistically significant (SNK- q test, all P<0.001); the Ki-67 staining indexes of inflammation grade 3 and 4 were higher than that of grade 2, and Ki-67 staining index of inflammation grade 4 was higher than that of grade 3, and the differences were statistically significant (SNK- q test, all P<0.001). The distribution of Ki-67 expression was positively correlated with the degree of histological inflammation ( r=0.56, P<0.001). Conclusions:The MVP under NBI colonoscopy may indirectly predict the colonic epithelial proliferation of patients with UC, which may be closely related to the degree of mucosal inflammation.
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Objective:To establish a model of improving diagnostic capability in infiltration depth of colorectal cancer (CRC) with combining narrow band imaging system(NBI) and endoscopic ultrasonography (EUS).Methods:CRC patients who were treated in Chongqing Fifth People′s Hospital from April 2015 to March 2021 were selected retrospectively as the research objects. All patients were diagnosed by postoperative pathological diagnosis. In the end, a total of 288 CRC patients were included. Using the random number table method, the study subjects were divided into modeling group ( n=192) and verification group ( n=96) at a ratio of 2∶1. The patients′ general information, NBI and EUS examination results were collected; logistic regression was used to analyze the independent risk factors of CRC submucosal infiltration, and a model was built to predict the depth of CRC infiltration; receiver operating characteristic (ROC) was used to identify the diagnostic ability of model. The diagnostic efficacy of CRC submucosal infiltration was verified internally by the verification group. Results:In the modeling group, lymph node metastasis ( OR=6.492, 95% CI: 5.128-7.855, P<0.001), low tumor differentiation ( OR=2.736, 95% CI: 1.731-3.741, P<0.001) and tumor length ( OR=2.049, 95% CI: 1.524-2.574, P<0.001) were independent risk factors for submucosal infiltration in CRC patients; The nomograph model constructed according to the above independent risk factors had a strong diagnostic ability for the depth of submucosal infiltration of CRC, and was internally validated in the validation group. AUC values of the modeling group and the validation group were 0.945 (0.935-0.955) and 0.951 (0.942-0.961), respectively. Conclusions:The nomogram model established by the combination of endoscopic narrow band imaging technology and ultrasound endoscopy can diagnose the depth of CRC infiltration better.
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Abstract Introduction Narrow-band imaging is an endoscopic diagnostic tool that, focusing on superficial vascular changes, is useful to detect suspicious laryngeal lesions, enabling their complete excision with safe and tailored resection margins. Objectives To analyze the applications and benefits of narrow-band imaging in detecting premalignant and malignant laryngeal lesions through a comparison with white-light endoscopy. Data Synthesis A literature search was performed in the PubMed, Scopus and Web of Science databases using strict keywords. Then, two authors independently analyzed the articles, read the titles and abstracts, and read completely only the relevant studies according to certain eligibility criteria. In total, 14 articles have been included in the present review; the sensitivity, specificity, positive and negative predictive values, and accuracy of pre- and/or intraoperative narrow-band imaging were analyzed. The analysis showed that narrow-band imaging is better than white-light endoscopy in terms of sensitivity, specificity, positive and negative predictive values, and accuracy regarding the ability to identify cancer and/or precancerous laryngeal lesions. Moreover, the intraoperative performance of narrow-band imaging resulted more effective than the in-office performance. Conclusion Narrow-band imaging is an effective diagnostic tool to detect premalignant and malignant laryngeal lesions and to define proper resection margins. Moreover, narrow-band imaging is useful in cases of leukoplakia that may cover a possible malignant lesion and that cannot be easily assessed with white-light endoscopy. Finally, a shared, simple and practical classification of laryngeal lesions, such as that of the European Laryngological Society, is required to identify a shared lesion management strategy. Key Points Narrow-band imaging is useful in detecting suspicious laryngeal lesions and proper resection margins showing intraepithelial papillary capillary loops (IPCLs) that are considered a main cancer feature. Narrow-band imaging is used both pre- and intraoperatively, but it provides more precise information if used during surgery. Compared with white-light endoscopy, narrow-band imaging enables a better assessment of the lesions covered by a thick white plaque (such as in cases of leukoplakia) The classification of the European Laryngological Society is the simplest and the most practical for the identification of various laryngeal lesions compared with other classifications.
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Objective:To evaluate narrow band imaging-magnifying endoscopy (NBI-ME) for the further assessment of lesions of low-grade intraepithelial neoplasia (LGIN) in the gastric biopsy.Methods:Data of 180 patients who underwent NBI-ME before endoscopic submucosal dissection (ESD) for biopsy of gastric LGIN at the First Affiliated Hospital of Soochow University from January 2017 to October 2020 were analyzed retrospectively. Taking the pathological results after ESD as the gold standard, the sensitivity, the specificity, the positive predictive value, the negative predictive value, and the accuracy of NBI-ME in predicting the pathological upgrading of gastric LGIN lesions after ESD were calculated, and the receiver operator characteristic (ROC) curve was drawn.Results:Among 180 gastric LGIN lesions, 115 (63.89%) were pathological upgraded and 65 (36.11%) were not after ESD. There were 10 missed diagnoses, 19 misdiagnoses, and 151 correct diagnoses in NBI-ME examination before ESD. The sensitivity, the specificity, the positive predictive value, the negative predictive value, and the accuracy of NBI-ME in predicting the pathological upgrading of gastric LGIN lesions after ESD were 91.3% (105/115), 70.8% (46/65), 84.7% (105/124), 82.1%(46/56) and 83.9% (151/180), respectively. The area under the ROC curve was 0.810 (95% CI: 0.737-0.883). Conclusion:Further NBI-ME examination of gastric LGIN lesions diagnosed by biopsy pathology can accurately predict whether the lesions have pathological upgrading after ESD, which is of important guiding significance for the patients to choose the treatment strategy of further follow-up or endoscopic resection.
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Objective:To evaluate deep learning in improving the diagnostic rate of adenomatous and non-adenomatous polyps.Methods:Non-magnifying narrow band imaging (NBI) polyp images obtained from Endoscopy Center of Renmin Hospital, Wuhan University were divided into three datasets. Dataset 1 (2 699 adenomatous and 1 846 non-adenomatous non-magnifying NBI polyp images from January 2018 to October 2020) was used for model training and validation of the diagnosis system. Dataset 2 (288 adenomatous and 210 non-adenomatous non-magnifying NBI polyp images from January 2018 to October 2020) was used to compare the accuracy of polyp classification between the system and endoscopists. At the same time, the accuracy of 4 trainees in polyp classification with and without the assistance of this system was compared. Dataset 3 (203 adenomatous and 141 non-adenomatous non-magnifying NBI polyp images from November 2020 to January 2021) was used to prospectively test the system.Results:The accuracy of the system in polyp classification was 90.16% (449/498) in dataset 2, superior to that of endoscopists. With the assistance of the system, the accuracy of colorectal polyp diagnosis was significantly improved. In the prospective study, the accuracy of the system was 89.53% (308/344).Conclusion:The colorectal polyp classification system based on deep learning can significantly improve the accuracy of trainees in polyp classification.
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Objective:To analyze and compare the features of undifferentiated-typed early gastric cancer (UD-EGC) and gastric mucosa-associated lymphoid tissue(MALT) lymphoma under white light endoscopy (WLE) and magnifying endoscopy-narrow band imaging (ME-NBI).Methods:Data of patients with complete endoscopic images of WLE and ME-NBI in Shanghai General Hospital, Shanghai Jiao Tong University from March 2015 to July 2019 were retrospectively analyzed.Twenty-six UD-EGC patients and seven gastric MALT lymphoma patients in ⅠE1 stage were included, and the characteristics of the two diseases under WLE and ME-NBI were compared and summarized.Results:There were no significant differences in age, sex or infiltration depth of lesions between the two groups.Under WLE, UD-EGC was often manifested as a single lesion located in the lower part of the stomach, with unclear lesion boundaries. While MALT lymphoma lesions were mostly multifocal with clear boundaries, located in the middle of the stomach. Under ME-NBI, the microsurface pattern of UD-EGC showed dilation or disappearance of areas between the recesses, and the spiral microvascular pattern. However, the microsurface pattern of MALT lymphomas were characterized by " cross-road traffic sign" , " pebble sign" , and the presentation of residual glandular duct at the lesion was similar to that of Helicobacter pylori ( HP)-related gastritis. Furthermore, the microvascular pattern of MALT lymphomas often showed " tree like appearance (TLA)" . After HP eradication therapy, the morphology of microsurface pattern and microvascular pattern in the original lesion area gradually returned to normal. Conclusion:UD-EGC and gastric MALT lymphoma showed particular features in the number, site and boundary under WLE, and they showed significantly different microsurface pattern and microvascular pattern under ME-NBI. Differentiation of the two diseases will help reduce the risk of missed diagnosis and misdiagnosis.
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Objective:To develop early gastric cancer (EGC) detection system of magnifying blue laser imaging (ME-BLI) model and magnifying narrow-band imaging (ME-NBI) model based on deep convolutional neural network, to compare the performance differences of the two models and to explore the effects of training methods on the accuracy.Methods:The images of benign gastric lesions and EGC under ME-BLI and ME-NBI were respectively collected. A total of five data sets and three test sets were collected. Data set 1 included 2 024 noncancerous lesions and 452 EGC images under ME-BLI. Data set 2 included 2 024 noncancerous lesions and 452 EGC images under ME-NBI. Data set 3 was the combination of data set 1 and 2 (a total of 4 048 noncancerous lesions and 904 EGC images under ME-BLI and ME-NBI). Data set 4: on the basis of data set 2, another 62 noncancerous lesions and 2 305 EGC images under ME-NBI were added (2 086 noncancerous lesions and 2 757 EGC images under ME-NBI). Data set 5: on the basis of data set 3, another 62 noncancerous lesions and 2 305 EGC images under ME-NBI were added(4 110 noncancerous lesions and 3 209 EGC images under ME-NBI and ME-BLI). Test set A included 422 noncancerous lesions and 197 EGC images under ME-BLI. Test set B included 422 noncancerous lesions and 197 EGC images under ME-NBI. Test set C was the combination of test set A and B (844 noncancerous and 394 EGC images under ME-BLI and ME-NBI). Five models were constructed according to these five data sets respectively and their performance was evaluated in the three test sets. Per-lesion video was collected and used to compare the performance of deep convolutional neural network models under ME-BLI and ME-NBI for the detection of EGC in clinical environment, and compared with four senior endoscopy doctors. The primary endpoint was the diagnostic accuracy of EGG, sensitivity and specificity. Chi-square test was used for statistical analysis.Results:The performance of model 1 was the best in test set A with the accuracy, sensitivity and specificity of 76.90% (476/619), 63.96% (126/197) and 82.94% (350/422), respectively. The performance of model 2 was the best in test set B with the accuracy, sensitivity and specificity of 86.75% (537/619), 92.89% (183/197) and 83.89% (354/422), respectively. The performance of model 3 was the best in test set B with the accuracy, sensitivity and specificity of 86.91% (538/619), 84.26% (166/197) and 88.15% (372/422), respectively. The performance of model 4 was the best in test set B with the accuracy, sensitivity and specificity of 85.46% (529/619), 95.43% (188/197) and 80.81% (341/422), respectively. The performance of model 5 was the best in test set B, with the accuracy, sensitivity and specificity of 83.52% (517/619), 96.95% (191/197) and 77.25% (326/422), respectively. In terms of image recognition of EGC, the accuracy of models 2 to 5 was higher than that of model 1, and the differences were statistically significant ( χ2=147.90, 149.67, 134.20 and 115.30, all P<0.01). The sensitivity and specificity of models 2 and 3 were higher than those of model 1, the specificity of model 2 was lower than that of model 3, and the differences were statistically significant ( χ2=131.65, 64.15, 207.60, 262.03 and 96.73, all P < 0.01). The sensitivity of models 4 and 5 was higher than those of models 1 to 3, and the specificity of models 4 and 5 was lower than those of models 1 to 3, and the differences were statistically significant ( χ2=151.16, 165.49, 71.35, 112.47, 132.62, 153.14, 176.93, 74.62, 14.09, 15.47, 6.02 and 5.80, all P<0.05). The results of video test based on lesion showed that the average accuracy of doctors 1 to 4 was 68.16%. And the accuracy of models 1 to 5 was 69.47% (66/95), 69.47% (66/95), 70.53% (67/95), 76.84% (73/95) and 80.00% (76/95), respectively. There were no significant differences in the accuracy among models 1 to 5 and between models 1 to 5 and doctors 1 to 4 (all P>0.05). Conclusions:ME-BLI EGC recognition model based on deep learning has good accuracy, but the diagnostic effecacy is sligntly worse than that of ME-NBI model. The effects of EGC recognition model of ME-NBI combined with ME-BLI is better than that of a single model. A more sensitive ME-NBI model can be obtained by increasing the number of ME-NBI images, especially the images of EGG, but the specificity is worse.
摘要
OBJECTIVE@#To investigate the effect of NBI assisted white light transurethral resection of bladder tumor (TURBT) in the treatment of bladder urothelial carcinoma and to summarize the experience of narrow band imaging (NBI) operation.@*METHODS@#Patients with bladder urothelial carcinoma were selected, and TURBT was performed after anesthesia. First of all, the bladder tumor was found and resected under white light. Then we replaced with NBI, looked for suspicious lesions and resected them, The specimens excised under white light and NBI were collected separately. The number, location and pathological results of the lesions under white light were recorded, and the residual lesions under NBI were also recorded. To evaluate the effect of NBI, the ratio of residual bladder tumor was calculated. The cases were divided into three groups according to the time sequence. The clinical data of each group were collected and the learning curve of TURBT under NBI assisted white light was observed.@*RESULTS@#A prospective study of 45 patients with bladder tumor from April 2018 to January 2020, including 32 males and 13 females, aged from 23 to 89 years, with an average age of 65.2 years. All the operations were successfully completed, without obvious complications after operation. Nine cases were single and 36 cases were multiple. The maximum diameter of the tumors was 0.5 to 4.0 cm, with an average of 2.2 cm. The histopathology of the resected tissue under white light was urothelial carcinoma, and 19 cases (42.2%) were pathologically positive by NBI resection. The 45 cases were divided into three groups according to the time sequence, 15 cases in each group. The true positive rate of NBI was 33.3%, 46.7% and 46.7%, respectively, and the false positive rate was 60.0%, 46.7% and 26.7%, respectively in the three groups.@*CONCLUSION@#TURBT is an effective way to treat bladder urothelial cancer, NBI is an effective supplement of white light, which can increase the detection rate of bladder cancer and reduce post-operative recurrence. The NBI light source has a certain learning curve. With the increase of cases, the false-positive rate of NBI is gradually reduced. After the NBI operator has rich experience, the recognition degree of flat tumor is gradually improved under white light, and the residual rate of NBI is reduced after the removal under white light.
Subject(s)
Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Young Adult , Cystoscopy , Narrow Band Imaging , Neoplasm Recurrence, Local , Prospective Studies , Self-Control , Urinary Bladder Neoplasms/surgery摘要
To investigate the role of narrow band imaging (NBI) endoscopy in diagnosing oral premalignant and malignant lesions. NBI and white light (WLI) endoscopy were performed on 85 patients (47 females, 38 males, aged from 12 to 83 years old, the medium age was 58 years) with 144 oral lesions from July 2016 to October 2017 in the First Affiliated Hospital of Xiamen University. NBI findings were classified into 5 types according to the Ni's classification and compared with histopathological results. Sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of NBI and WLI were calculated. Accuracy of NBI on premalignant and malignant lesions were compared with that of WLI. The connection between NBI findings and pathological results were investigated. SPSS 22.0 software was used to analyze the data. Sensitivity, specificity, PPV, and NPV of NBI WLI were 96.5% vs 81.2%, 98.3% vs 98.3%, 98.8% vs 98.6%, and 95.1% vs 78.4%, respectively. NBI findings showed high accordance with the phathological results (kappa=0.943,0.01). However, consistency between WLI findings and the phathological results was relatively low (kappa=0.765, 0.01). NBI was more accurate in diagnosing both premalignant (0.01) and malignant lesions (especially for high-grade intraepithelial neoplasia, 0.01) than WLI. There was remarkable correlation between NBI findings and the phathological results (0.836, 0.01). NBI shows high accuracy in detecting premalignant and malignant lesions of oral cavity. Ni's NBI classification is helpful to diagnose the premalignant and early malignant lesions as well as to evaluate tumor invasion. Thus, NBI can contribute more to early diagnosis and therapy of premalignant and malignant lesions of oral cavity.
摘要
Objective@#To analyze the characteristics of early gastric cancer (EGC) with submucosal infiltration under conventional white light endoscopy (C-WLE) and magnifying endoscopy with narrow band imaging (ME-NBI), and to improve the diagnostic accuracy of EGC infiltration by combining C-WLE and ME-NBI findings.@*Methods@#Data of patients who received endoscopic submucosal dissection or surgical treatment for EGC at Beijing Friendship Hospital from January 2015 to December 2017 were retrospectively analyzed. The basic information, lesion characteristics, and postoperative pathology of patients were collected. The characteristics of EGC with submucosal infiltration were analyzed, and a model for predicting the depth of EGC invasion was constructed by combining independent risk factors of submucosal infiltration.@*Results@#A total of 207 lesions in 195 patients were included in the study, divided into the modeling group (138 lesions) and the testing group (69 lesions) in the ratio 2∶1. In the modeling group, the lesions located in the upper third of the stomach (OR=12.949, 95%CI: 2.148-78.070, P=0.005), middle third of the stomach (OR=7.534, 95%CI: 1.044-54.360, P=0.045), >2 cm in size (OR=6.828, 95%CI: 1.657-28.136, P=0.008) and presence of dilated blood vessel (OR=6.856, 95%CI: 1.577-29.805, P=0.010) were independent risk factors for submucosal infiltration. Based on the above independent risk factors, the infiltration depth predicting scoring system (DPSS) was constructed (5 points for the lesion located in upper third of the stomach, 4 points for the lesions located in the middle third of stomach, 4 points for lesions >2 cm in size, and 4 points for the presence of dilated vessels). The areas under the receiver operating characteristic curve for predicting the infiltration depth of DPSS were 0.884 (95%CI: 0.809-0.960) in the modeling group and 0.799 (95%CI: 0.684-0.914) in the testing group. The sensitivities of the modeling group and the testing group were 83.3% and 71.4% respectively; and the specificities were 76.2% and 74.5%, respectively in the two groups at 8 as the cut-off score.@*Conclusion@#The DPSS based on C-WLE and ME-NBI findings can predict the invasion depth of EGC.