{"title":"The application of artificial intelligence in EUS.","authors":"Deyu Zhang, Chang Wu, Zhenghui Yang, Hua Yin, Yue Liu, Wanshun Li, Haojie Huang, Zhendong Jin","doi":"10.1097/eus.0000000000000053","DOIUrl":"10.1097/eus.0000000000000053","url":null,"abstract":"<p><p>Artificial intelligence (AI) is an epoch-making technology, among which the 2 most advanced parts are machine learning and deep learning algorithms that have been further developed by machine learning, and it has been partially applied to assist EUS diagnosis. AI-assisted EUS diagnosis has been reported to have great value in the diagnosis of pancreatic tumors and chronic pancreatitis, gastrointestinal stromal tumors, esophageal early cancer, biliary tract, and liver lesions. The application of AI in EUS diagnosis still has some urgent problems to be solved. First, the development of sensitive AI diagnostic tools requires a large amount of high-quality training data. Second, there is overfitting and bias in the current AI algorithms, leading to poor diagnostic reliability. Third, the value of AI still needs to be determined in prospective studies. Fourth, the ethical risks of AI need to be considered and avoided.</p>","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"13 2","pages":"65-75"},"PeriodicalIF":4.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11213611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141466977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Endoscopic UltrasoundPub Date : 2024-02-01Epub Date: 2023-07-14DOI: 10.1177/1742271X231183356
Mark Charnock, Matthew Kinsella, Annu Chopra
{"title":"Ultrasound for suspected Baker's cyst: A test of limited clinical value?","authors":"Mark Charnock, Matthew Kinsella, Annu Chopra","doi":"10.1177/1742271X231183356","DOIUrl":"10.1177/1742271X231183356","url":null,"abstract":"<p><strong>Introduction: </strong>Patients with posterior knee swellings are commonly encountered in clinical practice with the vast majority referred for an ultrasound scan to assess for a clinically suspected Baker's cyst.</p><p><strong>Aims: </strong>Our aim was to determine the incidence of different pathologies in patients investigated for a posterior knee swelling of a clinically suspected Baker's cyst using ultrasound. We also wanted to investigate the incidence of significant pathologies in the popliteal fossa to assess whether the ultrasound scan findings influenced patient management.</p><p><strong>Methodology: </strong>Retrospective analysis was performed on all patients who underwent an ultrasound scan for a suspected Baker's cyst or posterior knee swelling at our institution, between January 2017 and December 2018. Patient demographics, ultrasound findings, further imaging investigations and histopathology were recorded. Patient records were followed up for a minimum period of 3 years after ultrasound.</p><p><strong>Results: </strong>A total of 680 patients had a posterior knee ultrasound scan. Of that, 51% (347/680) had a Baker's cyst and 40% (273/680) had a normal ultrasound scan. Sixty (9%) patients had other abnormalities identified within the popliteal fossa. Four patients had significant findings on ultrasound that required a change of management. No malignancies identified.</p><p><strong>Conclusion: </strong>This study confirms the high incidence of Baker's cysts in patients presenting with a posterior knee swelling. In the absence of red flag symptoms, ultrasound of the posterior knee for a clinically suspected Baker's cyst is of limited clinical value.</p>","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"1 1","pages":"36-42"},"PeriodicalIF":4.5,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10836229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85390403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ning Xu, Longsong Li, Song Su, Danqi Zhao, J. Xiang, Pengju Wang, Yaxuan Cheng, E. Linghu, N. Chai
{"title":"A novel lumen-apposing metal stent for endoscopic drainage of symptomatic pancreatic fluid collections: a retrospective study","authors":"Ning Xu, Longsong Li, Song Su, Danqi Zhao, J. Xiang, Pengju Wang, Yaxuan Cheng, E. Linghu, N. Chai","doi":"10.1097/eus.0000000000000039","DOIUrl":"https://doi.org/10.1097/eus.0000000000000039","url":null,"abstract":"Previous studies showed that lumen-apposing metal stent (LAMS) provides a feasible route to perform direct endoscopic necrosectomy. However, the high risk of bleeding and migration induced by the placement of LAMS attracted attention. The aim of this study was to evaluate the safety and effectiveness of a novel LAMS. In this retrospective study, we enrolled patients with symptomatic pancreatic fluid collections (PFCs) to perform EUS–guided drainage with a LAMS in our hospital. Evaluation variables included technical success rate, clinical success rate, and adverse events. Thirty-two patients with a mean age of 41.38 ± 10.72 years (53.1% males) were included in our study, and the mean size of PFC was 10.06 ± 3.03 cm. Technical success rate and clinical success rate reached 96.9% and 93.8%, respectively. Stent migration occurred in 1 patient (3.1%), and no stent-induced bleeding occurred. The outcomes of using LAMS in 10 patients with pancreatic pseudocyst and 22 patients with walled-off necrosis were comparable. Compared with pancreatic pseudocyst, walled-off necrosis needed more direct endoscopic necrosectomy times to achieve resolution (P = 0.024). Our study showed that the novel LAMS is effective and safe for endoscopic drainage of PFCs with a relatively low rate of adverse events. Further large-scale multicenter studies are needed to confirm the present findings.","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":" 82","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139144816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuchong Zhao, Dingkun Xiong, Aruna, Qian Chen, Dong Kuang, Si Xiong, Yun Wang, Yilei Yang, Qiaozhen Guo, Lan Chen, Jiqiao Zhang, Xiaoli Wu, Yunlu Feng, Bin Cheng
{"title":"Fine needle biopsy versus fine needle aspiration in the diagnosis of immunohistochemistry-required lesions: A multicenter study with prospective evaluation","authors":"Yuchong Zhao, Dingkun Xiong, Aruna, Qian Chen, Dong Kuang, Si Xiong, Yun Wang, Yilei Yang, Qiaozhen Guo, Lan Chen, Jiqiao Zhang, Xiaoli Wu, Yunlu Feng, Bin Cheng","doi":"10.1097/eus.0000000000000028","DOIUrl":"https://doi.org/10.1097/eus.0000000000000028","url":null,"abstract":"<h3>Objectives </h3>\u0000<p>The superiority of EUS–guided fine-needle biopsy (EUS-FNB) over fine-needle aspiration (FNA) remains controversial. This study aimed to compare the efficacy of FNB and FNA in immunohistochemistry (IHC)-required lesions, including, type 1 autoimmune pancreatitis (AIP), neuroendocrine tumor (NET), mesenchymal tumor, and lymphoma.</p>\u0000<h3>Methods </h3>\u0000<p>In this multicenter study, specimens from all eligible patients who underwent EUS-FNB/FNA with these specific lesions were prospectively evaluated. Demographics, adequacy of specimens for IHC, diagnostic accuracy, and integrity of tissue were analyzed. Subgroup analysis and multivariate logistic regression were also performed to control confounders.</p>\u0000<h3>Results </h3>\u0000<p>A total of 439 patients were included for analysis. Most lesion types were type 1 AIP (41.69%), followed by NET, mesenchymal tumor, and lymphoma. FNB yielded specimens with better adequacy for IHC (82.41% <em xmlns:mrws=\"http://webservices.ovid.com/mrws/1.0\">vs</em>. 66.67%, <em xmlns:mrws=\"http://webservices.ovid.com/mrws/1.0\">P</em> < 0.001) and higher diagnostic accuracy (74.37% <em xmlns:mrws=\"http://webservices.ovid.com/mrws/1.0\">vs</em>. 55.42%, <em xmlns:mrws=\"http://webservices.ovid.com/mrws/1.0\">P</em> < 0.001). The superiority of FNB over FNA in adequacy for IHC (odds ratio, 2.786 [1.515–5.291]) and diagnostic accuracy (odds ratio, 2.793 [1.645–4.808]) remained significant after control of confounders including needle size, lesion site, lesion size, and endoscopists. In subgroup analysis, FNB showed higher diagnostic accuracy in AIP and mesenchymal tumor, whereas no statistically significant difference was observed in NET and lymphoma.</p>\u0000<h3>Conclusions </h3>\u0000<p>FNB was superior to FNA needles in obtaining tissues with better adequacy and integrity. These results suggest that FNB should be considered a first-line modality in the diagnosis of IHC-required lesions, especially AIP and mesenchymal tumor. However, a randomized controlled trial with larger sample size is needed to further confirm our findings.</p>","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"44 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139053987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Du, Zhengting He, Fei Gao, Longsong Li, Ke Han, Xiuxue Feng, Xiangdong Wang, Ping Tang, N. Chai, E. Linghu
{"title":"Factors affecting the diagnostic value of liquid-based cytology by EUS-FNA in the diagnosis of pancreatic cystic neoplasms","authors":"C. Du, Zhengting He, Fei Gao, Longsong Li, Ke Han, Xiuxue Feng, Xiangdong Wang, Ping Tang, N. Chai, E. Linghu","doi":"10.1097/eus.0000000000000041","DOIUrl":"https://doi.org/10.1097/eus.0000000000000041","url":null,"abstract":"\u0000 \u0000 \u0000 This study retrospectively evaluated the value of liquid-based cytology (LBC) alone for diagnosing pancreatic cystic neoplasms (PCNs) in a large sample and initially estimated factors that might affect LBC diagnostic ability.\u0000 \u0000 \u0000 \u0000 From April 2015 to October 2022, we prospectively enrolled 331 patients with suspected PCNs in our prospective database. Among them, 112 patients chosen to receive surgical resection were included. Only 96 patients who underwent EUS-guided cystic fluid LBC were finally studied. The diagnostic values of LBC for differentiating benign and malignant PCNs and subtypes of PCNs were evaluated.\u0000 \u0000 \u0000 \u0000 There were 71 female and 25 male patients with a mean age of 47.6 ± 14.4 years. The median cyst size was 43.4 mm. The diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of LBC for the differentiation of benign and malignant PCNs were 96.9%, 57.1%, 100%, 100%, and 96.7%, respectively. The overall diagnostic accuracy of LBC for specific cyst types was 33.3% (32/96). Cysts located in the pancreatic body/tail or with irregular shapes were more likely to obtain a definite LBC diagnosis. At the same time, age, sex, tumor size, cystic fluid viscosity, operation time, needle type, and presence of septation were not significantly different.\u0000 \u0000 \u0000 \u0000 Liquid-based cytology alone is useful for differentiating benign PCNs from malignant PCNs and can successfully characterize the PCN subtypes in one-third of patients. Pancreatic cystic neoplasms located in the body/tail or exhibiting irregular shapes are more likely to obtain a definite LBC diagnosis.\u0000","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"21 5","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138955293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xun Li, Chenxia Zhang, L. Yao, Jun Zhang, Kun Zhang, Hui Feng, H. Yu
{"title":"A deep learning–based system to identify originating mural layer of upper gastrointestinal submucosal tumors under EUS","authors":"Xun Li, Chenxia Zhang, L. Yao, Jun Zhang, Kun Zhang, Hui Feng, H. Yu","doi":"10.1097/eus.0000000000000029","DOIUrl":"https://doi.org/10.1097/eus.0000000000000029","url":null,"abstract":"EUS is the most accurate procedure to determine the originating mural layer and subsequently select the treatment of submucosal tumors (SMTs). However, it requires superb technical and cognitive skills. In this study, we propose a system named SMT Master to determine the originating mural layer of SMTs under EUS. We developed 3 models: deep convolutional neural network (DCNN) 1 for lesion segmentation, DCNN2 for mural layer segmentation, and DCNN3 for the originating mural layer classification. A total of 2721 EUS images from 201 patients were used to train the 3 models. We validated our model internally and externally using 283 images from 26 patients and 172 images from 26 patients, respectively. We applied 368 images from 30 patients for the man-machine contest and used 30 video clips to test the originating mural layer classification. In the originating mural layer classification task, DCNN3 achieved a classification accuracy of 84.43% and 80.68% at internal and external validations, respectively. In the video test, the accuracy was 80.00%. DCNN1 achieved Dice coefficients of 0.956 and 0.776 for lesion segmentation at internal and external validations, respectively, whereas DCNN2 achieved Dice coefficients of 0.820 and 0.740 at internal and external validations, respectively. The system achieved 90.00% accuracy in classification, which is comparable with that of EUS experts. Our proposed system has the potential to solve difficulties in determining the originating mural layer of SMTs in EUS procedures, which relieves the EUS learning pressure of physicians.","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"253 ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139170295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Möller, Barbara Braden, C. Jenssen, A. Ignee, X. Cui, Yasunobu Yamashita, Masayuki Kitano, S. Faiss, Siyu Sun, Christoph F. Dietrich
{"title":"Intraductal papillary neoplasms of the bile ducts—what can be seen with ultrasound?","authors":"K. Möller, Barbara Braden, C. Jenssen, A. Ignee, X. Cui, Yasunobu Yamashita, Masayuki Kitano, S. Faiss, Siyu Sun, Christoph F. Dietrich","doi":"10.1097/eus.0000000000000040","DOIUrl":"https://doi.org/10.1097/eus.0000000000000040","url":null,"abstract":"\u0000 Intraductal papillary neoplasm of the bile ducts is a rare tumor. Characteristic features include bile duct dilatation, cystic lesions with communication to the bile ducts, and intraluminal solid nodules arising from the bile duct wall. As in pancreatic intraductal papillary mucinous neoplasia, intestinal, pancreaticobiliary, gastric, and oncocytic types are described. Intraductal papillary neoplasm of the bile ducts has a high potential for malignancy, and patients should be surgically resected when possible. In this review, the complex imaging diagnosis is presented. The main focus is on contrast-enhanced ultrasound, an established method for many other indications whose potential on the biliary system should be better exploited. In the present article, typical contrast-enhanced ultrasound findings in intraductal papillary neoplasm of the bile ducts are demonstrated.","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"28 10","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138996015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Ueno, Takeshi Ogura, Jun Sakamoto, Nobuhiro Hattori, Hiroki Nishikawa
{"title":"EUS-guided hepaticoduodenostomy for posterior bile duct obstruction using a novel plastic stent for isolated posterior bile duct obstruction (with video)","authors":"S. Ueno, Takeshi Ogura, Jun Sakamoto, Nobuhiro Hattori, Hiroki Nishikawa","doi":"10.1097/eus.0000000000000043","DOIUrl":"https://doi.org/10.1097/eus.0000000000000043","url":null,"abstract":"","PeriodicalId":11577,"journal":{"name":"Endoscopic Ultrasound","volume":"35 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}