Objective:Early detection and treatment in patients with esophageal cancer is the most effective way to improve the prognosis. Patients with high-grade dysplasia(HGD) in esophageal mucosa might be involved with early ...Objective:Early detection and treatment in patients with esophageal cancer is the most effective way to improve the prognosis. Patients with high-grade dysplasia(HGD) in esophageal mucosa might be involved with early esophageal cancer,but the management of the disease is controversial. The purpose of our study was to explore the management of esophageal mucosa with HGD. Methods:We retrospectively analyzed 10 patients with HGD in esophageal mucosa,who underwent esophagectomy in Cancer Hospital of Fudan University from 1999 to 2006. The surgical approach,postoperative morbidity,in-hospital complications and pathological results of the patients were analyzed. Basing on our data together with other studies,we aimed at looking for an appropriate management for patients with HGD. Results:Of the 10 patients who received esophagectomy,the pathological results showed that 2(20%) cases were in situ carcinoma and 8(80%) cases were invasive cancer with no regional lymph nodes involved. 30-day mortality was 0. One patient experienced cervical anastomotic leakage,but healed in 2 weeks. There was no pulmonary complication. Conclusion:Most patients with HGD actually have occult carcinoma. High percentage of patients with HGD would develop into cancer during their lifetime. Esophagectomy is now a selective approach for the treatment of the patients with HGD.展开更多
BACKGROUND Esophageal cancer is the seventh-most common cancer type worldwide,accounting for 5%of death from malignancy.Development of novel diagnostic techniques has facilitated screening,early detection,and improved...BACKGROUND Esophageal cancer is the seventh-most common cancer type worldwide,accounting for 5%of death from malignancy.Development of novel diagnostic techniques has facilitated screening,early detection,and improved prognosis.Convolutional neural network(CNN)-based image analysis promises great potential for diagnosing and determining the prognosis of esophageal cancer,enabling even early detection of dysplasia.METHODS PubMed,EMBASE,Web of Science and Cochrane Library databases were searched for articles published up to November 30,2022.We evaluated the diagnostic accuracy of using the CNN model with still image-based analysis and with video-based analysis for esophageal cancer or HGD,as well as for the invasion depth of esophageal cancer.The pooled sensitivity,pooled specificity,positive likelihood ratio(PLR),negative likelihood ratio(NLR),diagnostic odds ratio(DOR)and area under the curve(AUC)were estimated,together with the 95%confidence intervals(CI).A bivariate method and hierarchical summary receiver operating characteristic method were used to calculate the diagnostic test accuracy of the CNN model.Meta-regression and subgroup analyses were used to identify sources of hetero-geneity.RESULTS A total of 28 studies were included in this systematic review and meta-analysis.Using still image-based analysis for the diagnosis of esophageal cancer or HGD provided a pooled sensitivity of 0.95(95%CI:0.92-0.97),pooled specificity of 0.92(0.89-0.94),PLR of 11.5(8.3-16.0),NLR of 0.06(0.04-0.09),DOR of 205(115-365),and AUC of 0.98(0.96-0.99).When video-based analysis was used,a pooled sensitivity of 0.85(0.77-0.91),pooled specificity of 0.73(0.59-0.83),PLR of 3.1(1.9-5.0),NLR of 0.20(0.12-0.34),DOR of 15(6-38)and AUC of 0.87(0.84-0.90)were found.Prediction of invasion depth resulted in a pooled sensitivity of 0.90(0.87-0.92),pooled specificity of 0.83(95%CI:0.76-0.88),PLR of 7.8(1.9-32.0),NLR of 0.10(0.41-0.25),DOR of 118(11-1305),and AUC of 0.95(0.92-0.96).CONCLUSION CNN-based image analysis in diagnosing esophageal cancer and HGD is an excellent diagnostic method with high sensitivity and specificity that merits further investigation in large,multicenter clinical trials.展开更多
BACKGROUND Esophageal adenocarcinoma(EAC)and high-grade dysplasia(HGD)may appear in young patients with Barrett's esophagus(BE).However,characteristics of Barrett's-related neoplasia in this younger population...BACKGROUND Esophageal adenocarcinoma(EAC)and high-grade dysplasia(HGD)may appear in young patients with Barrett's esophagus(BE).However,characteristics of Barrett's-related neoplasia in this younger population remain unknown.AIM To identify clinical characteristics that differ between young and old patients with early-stage Barrett's-related neoplasia.METHODS We conducted a retrospective analysis of a prospectively maintained database comprised of consecutive patients with early-stage EAC(pT1)and HGD at a tertiary-referral center between 2001 and 2017.Baseline characteristics,drug and risk factor exposures,clinicopathological staging of EAC/HGD and treatment outcomes[complete eradication of neoplasia(CE-N),complete eradication of intestinal metaplasia(CE-IM),recurrence of neoplasia and recurrence of intestinal metaplasia]were retrieved.Multivariate analyses were performed to identify factors that differed significantly between older and younger(≤50 years)patients.RESULTS We identified 450 patients with T1 EAC and HGD(74%and 26%,respectively);45(10%)were≤50 years.Compared to the older group,young patients were more likely to present with ongoing gastroesophageal reflux disease(GERD)symptoms(55%vs 38%,P=0.04)and to be obese(body mass index>30,48%vs 32%,P=0.04).Multivariate logistic regression analysis showed that young patients were significantly more likely to have ongoing GERD symptoms[odds ratio(OR)2.00,95%confidence interval(CI)1.04-3.85,P=0.04]and to be obese(OR 2.06,95%CI 1.07-3.98,P=0.03)whereas the young group was less likely to have a smoking history(OR 0.39,95%CI 0.20-0.75,P<0.01)compared to the old group.However,there were no significant differences regarding tumor histology,CE-N,CE-IM,recurrence of neoplasia and recurrence of intestinal metaplasia(mean follow-up,44.3 mo).CONCLUSION While guidelines recommend BE screening in patients>50 years of age,younger patients should be considered for screening endoscopy if they suffer from obesity and GERD symptoms.展开更多
文摘Objective:Early detection and treatment in patients with esophageal cancer is the most effective way to improve the prognosis. Patients with high-grade dysplasia(HGD) in esophageal mucosa might be involved with early esophageal cancer,but the management of the disease is controversial. The purpose of our study was to explore the management of esophageal mucosa with HGD. Methods:We retrospectively analyzed 10 patients with HGD in esophageal mucosa,who underwent esophagectomy in Cancer Hospital of Fudan University from 1999 to 2006. The surgical approach,postoperative morbidity,in-hospital complications and pathological results of the patients were analyzed. Basing on our data together with other studies,we aimed at looking for an appropriate management for patients with HGD. Results:Of the 10 patients who received esophagectomy,the pathological results showed that 2(20%) cases were in situ carcinoma and 8(80%) cases were invasive cancer with no regional lymph nodes involved. 30-day mortality was 0. One patient experienced cervical anastomotic leakage,but healed in 2 weeks. There was no pulmonary complication. Conclusion:Most patients with HGD actually have occult carcinoma. High percentage of patients with HGD would develop into cancer during their lifetime. Esophagectomy is now a selective approach for the treatment of the patients with HGD.
基金Supported by the Special Program for Science and Technology Cooperation and Exchange of Shanxi,No.202104041101034.
文摘BACKGROUND Esophageal cancer is the seventh-most common cancer type worldwide,accounting for 5%of death from malignancy.Development of novel diagnostic techniques has facilitated screening,early detection,and improved prognosis.Convolutional neural network(CNN)-based image analysis promises great potential for diagnosing and determining the prognosis of esophageal cancer,enabling even early detection of dysplasia.METHODS PubMed,EMBASE,Web of Science and Cochrane Library databases were searched for articles published up to November 30,2022.We evaluated the diagnostic accuracy of using the CNN model with still image-based analysis and with video-based analysis for esophageal cancer or HGD,as well as for the invasion depth of esophageal cancer.The pooled sensitivity,pooled specificity,positive likelihood ratio(PLR),negative likelihood ratio(NLR),diagnostic odds ratio(DOR)and area under the curve(AUC)were estimated,together with the 95%confidence intervals(CI).A bivariate method and hierarchical summary receiver operating characteristic method were used to calculate the diagnostic test accuracy of the CNN model.Meta-regression and subgroup analyses were used to identify sources of hetero-geneity.RESULTS A total of 28 studies were included in this systematic review and meta-analysis.Using still image-based analysis for the diagnosis of esophageal cancer or HGD provided a pooled sensitivity of 0.95(95%CI:0.92-0.97),pooled specificity of 0.92(0.89-0.94),PLR of 11.5(8.3-16.0),NLR of 0.06(0.04-0.09),DOR of 205(115-365),and AUC of 0.98(0.96-0.99).When video-based analysis was used,a pooled sensitivity of 0.85(0.77-0.91),pooled specificity of 0.73(0.59-0.83),PLR of 3.1(1.9-5.0),NLR of 0.20(0.12-0.34),DOR of 15(6-38)and AUC of 0.87(0.84-0.90)were found.Prediction of invasion depth resulted in a pooled sensitivity of 0.90(0.87-0.92),pooled specificity of 0.83(95%CI:0.76-0.88),PLR of 7.8(1.9-32.0),NLR of 0.10(0.41-0.25),DOR of 118(11-1305),and AUC of 0.95(0.92-0.96).CONCLUSION CNN-based image analysis in diagnosing esophageal cancer and HGD is an excellent diagnostic method with high sensitivity and specificity that merits further investigation in large,multicenter clinical trials.
文摘BACKGROUND Esophageal adenocarcinoma(EAC)and high-grade dysplasia(HGD)may appear in young patients with Barrett's esophagus(BE).However,characteristics of Barrett's-related neoplasia in this younger population remain unknown.AIM To identify clinical characteristics that differ between young and old patients with early-stage Barrett's-related neoplasia.METHODS We conducted a retrospective analysis of a prospectively maintained database comprised of consecutive patients with early-stage EAC(pT1)and HGD at a tertiary-referral center between 2001 and 2017.Baseline characteristics,drug and risk factor exposures,clinicopathological staging of EAC/HGD and treatment outcomes[complete eradication of neoplasia(CE-N),complete eradication of intestinal metaplasia(CE-IM),recurrence of neoplasia and recurrence of intestinal metaplasia]were retrieved.Multivariate analyses were performed to identify factors that differed significantly between older and younger(≤50 years)patients.RESULTS We identified 450 patients with T1 EAC and HGD(74%and 26%,respectively);45(10%)were≤50 years.Compared to the older group,young patients were more likely to present with ongoing gastroesophageal reflux disease(GERD)symptoms(55%vs 38%,P=0.04)and to be obese(body mass index>30,48%vs 32%,P=0.04).Multivariate logistic regression analysis showed that young patients were significantly more likely to have ongoing GERD symptoms[odds ratio(OR)2.00,95%confidence interval(CI)1.04-3.85,P=0.04]and to be obese(OR 2.06,95%CI 1.07-3.98,P=0.03)whereas the young group was less likely to have a smoking history(OR 0.39,95%CI 0.20-0.75,P<0.01)compared to the old group.However,there were no significant differences regarding tumor histology,CE-N,CE-IM,recurrence of neoplasia and recurrence of intestinal metaplasia(mean follow-up,44.3 mo).CONCLUSION While guidelines recommend BE screening in patients>50 years of age,younger patients should be considered for screening endoscopy if they suffer from obesity and GERD symptoms.
