Endoscopic Ultrasonography In Diagnosis Research Articles

Endoscopic ultrasonography-related diagnostic accuracy and clinical significance on small rectal neuroendocrine neoplasms.

This research aimed to examine the diagnostic accuracy and clinical significance of endoscopic ultrasonography (EUS) in the context of small rectal neuroendocrine neoplasms (NENs). A total of 108 patients with rectal subepithelial lesions (SELs) with a diameter of < 20 mm were included in the analysis. The diagnosis and depth assessment of EUS was compared to the histology findings. The prevalence of NENs in rectal SELs was 78.7% (85/108). The sensitivity of EUS in detecting rectal NENs was 98.9% (84/85), while the specificity was 52.2% (12/23). Overall, the diagnostic accuracy of EUS in identifying rectal NENs was 88.9% (96/108). The overall accuracy rate for EUS in assessing the depth of invasion in rectal NENs was 92.9% (78/84). Therefore, EUS demonstrates reasonable diagnostic accuracy in detecting small rectal NENs, with good sensitivity but inferior specificity. EUS may also assist physicians in assessing the depth of invasion in small rectal NENs before endoscopic excision.

DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis.

Pancreatic cancer has the worst prognosis of all cancers. The clinical application of endoscopic ultrasound (EUS) for the assessment of pancreatic cancer risk and of deep learning for the classification of EUS images have been hindered by inter-grader variability and labeling capability. One of the key reasons for these difficulties is that EUS images are obtained from multiple sources with varying resolutions, effective regions, and interference signals, making the distribution of the data highly variable and negatively impacting the performance of deep learning models. Additionally, manual labeling of images is time-consuming and requires significant effort, leading to the desire to effectively utilize a large amount of unlabeled data for network training. To address these challenges, this study proposes the Dual Self-supervised Multi-Operator Transformation Network (DSMT-Net) for multi-source EUS diagnosis. The DSMT-Net includes a multi-operator transformation approach to standardize the extraction of regions of interest in EUS images and eliminate irrelevant pixels. Furthermore, a transformer-based dual self-supervised network is designed to integrate unlabeled EUS images for pre-training the representation model, which can be transferred to supervised tasks such as classification, detection, and segmentation. A large-scale EUS-based pancreas image dataset (LEPset) has been collected, including 3,500 pathologically proven labeled EUS images (from pancreatic and non-pancreatic cancers) and 8,000 unlabeled EUS images for model development. The self-supervised method has also been applied to breast cancer diagnosis and was compared to state-of-the-art deep learning models on both datasets. The results demonstrate that the DSMT-Net significantly improves the accuracy of pancreatic and breast cancer diagnosis.

Endoscopic ultrasonography in diagnosis of digestive diseases. Review of clinical cases

Endoscopic ultrasound (EUS) is a high-tech ultrasound examination that simultaneously combines the options of endoscopic and ultrasound diagnosis of diseases of the gastrointestinal tract, pancreas, bile ducts and liver. The advantages of endoscopic ultrasound over traditional transabdominal ultrasound are that the ultrasound transducer can be guided directly through the lumen of the gastrointestinal tract to the object under visual control. The EUS is the method of choice for the study of submucosal lesions in the upper gastrointestinal tract. It is the most accurate method for the detection and diagnosis of submucosal formations due to its high sensitivity, specificity, is used as the next research method after endoscopy and can provide information about the origin, size, borders, homogeneity, as well as the choice of treatment method: endoscopic or surgical one. A more important application of EUS is the determination of the stage of malignant neoplasms of the gastrointestinal tract, as it determines the treatment and predicts the disease. And the real-time strain elastography, which allows analyzing the stiffness of tissues, helps in this. The high accuracy of this study allows for the differential diagnosis of benign and malignant neoplasms. The article presents cases of examination of patients with submucosal neoplasms of the stomach who were treated in the SI “Institute of Gastroentero­logy of the National Academy of Medical Sciences of Ukraine”.

Endoscopic ultrasound diagnosis of superior mesenteric artery syndrome

Endoscopic ultrasound diagnosis of superior mesenteric artery syndrome

The effect of endoscopic ultrasound on the precise selection of endoscopic treatment for submucosal tumors in the upper gastrointestinal tract

ObjectiveTo summarize and discuss the guiding role of endoscopic ultrasound (EUS) in selecting endoscopic treatments for submucosal tumors (SMTs) in the upper gastrointestinal tract.MethodsA retrospective investigation was conducted on 156 SMT patients who received endoscopic resection guided by EUS in the endoscopy center of the Second Affiliated Hospital of Guangzhou University of Chinese Medicine from May 2019 to September 2021. Next, the size, pathological type, and distribution of lesions were analyzed; the correlation of the tumor origin with distribution of lesions and selection of treatments was explored; and the consistency of preoperative EUS diagnosis and postoperative pathological diagnosis was summarized and analyzed.ResultsThe tumor diameters of the included SMT patients ranged from 0.3 to 4 cm, with a mean diameter of 0.95 cm; the lesions were mostly located in the esophagus, gastric fundus or fundic cardia and gastric body. As for the pathological types, liomyoma was the most common tumor in the esophagus, liomyoma and mesenchymoma were mainly located in the fundic cardia and gastric body, and heterotopic pancreas was mostly discovered in the gastric sinus. Among 38 esophageal SMT patients, some with lesions originating from muscularis mucosa and submucosa under EUS mainly underwent endoscopic submucosal dissection (ESD) and endoscope band ligation (EBL); while others with lesions originated from muscularis propria mainly received submucosal tunneling endoscopic resection (STER). Of 115 gastric SMT patients under EUS, some with lesion origins from the muscularis mucosa and submucosa mainly underwent endoscopic submucosal excavation (ESE), while others from muscularis propria mainly underwent ESE, ESD, and endoscopic full-thickness resection (EFTR). Besides, 3 duodenal SMT patients with lesion origins from submucosa and muscularis propria under EUS were given ESD and ESE, respectively. Additionally, 121 cases showed a consistency between the EUS diagnosis and the postoperative pathological nature, and the consistency rate was 84.6%.ConclusionClarifying the origin layer, size, growth pattern, and pathological nature of the lesion through preoperative EUS can guide the precise selection of endoscopic treatments, thereby ensuring a safe, effective, and complete surgical outcomes and reducing complications.

Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis.

Subepithelial lesions (SELs) are gastrointestinal tumors with heterogeneous malignant potential. Endoscopic ultrasonography (EUS) is the leading method for evaluation, but without histopathological analysis, precise differentiation of SEL risk is limited. Artificial intelligence (AI) is a promising aid for the diagnosis of gastrointestinal lesions in the absence of histopathology. To determine the diagnostic accuracy of AI-assisted EUS in diagnosing SELs, especially lesions originating from the muscularis propria layer. Electronic databases including PubMed, EMBASE, and Cochrane Library were searched. Patients of any sex and > 18 years, with SELs assessed by EUS AI-assisted, with previous histopathological diagnosis, and presented sufficient data values which were extracted to construct a 2 × 2 table. The reference standard was histopathology. The primary outcome was the accuracy of AI for gastrointestinal stromal tumor (GIST). Secondary outcomes were AI-assisted EUS diagnosis for GIST vs gastrointestinal leiomyoma (GIL), the diagnostic performance of experienced endoscopists for GIST, and GIST vs GIL. Pooled sensitivity, specificity, positive, and negative predictive values were calculated. The corresponding summary receiver operating characteristic curve and post-test probability were also analyzed. Eight retrospective studies with a total of 2355 patients and 44154 images were included in this meta-analysis. The AI-assisted EUS for GIST diagnosis showed a sensitivity of 92% [95% confidence interval (CI): 0.89-0.95; P < 0.01), specificity of 80% (95%CI: 0.75-0.85; P < 0.01), and area under the curve (AUC) of 0.949. For diagnosis of GIST vs GIL by AI-assisted EUS, specificity was 90% (95%CI: 0.88-0.95; P = 0.02) and AUC of 0.966. The experienced endoscopists' values were sensitivity of 72% (95%CI: 0.67-0.76; P < 0.01), specificity of 70% (95%CI: 0.64-0.76; P < 0.01), and AUC of 0.777 for GIST. Evaluating GIST vs GIL, the experts achieved a sensitivity of 73% (95%CI: 0.65-0.80; P < 0.01) and an AUC of 0.819. AI-assisted EUS has high diagnostic accuracy for fourth-layer SELs, especially for GIST, demonstrating superiority compared to experienced endoscopists' and improving their diagnostic performance in the absence of invasive procedures.

Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses.

Early detection of solid pancreatic masses through contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) is important. But CH-EUS is difficult to learn. To design a deep learning-based CH-EUS diagnosis system (CH-EUS MASTER) for real-time capture and segmentation of solid pancreatic masses and to verify its value in the training of pancreatic mass identification under endoscopic ultrasound (EUS). We designed a real-time capture and segmentation model for solid pancreatic masses and then collected 4530 EUS images of pancreatic masses retrospectively, used for training and testing of this model at a ratio of 8:2. The model is loaded into the EUS host computer to establish the CH-EUS MASTER system. A crossover trial was then conducted to evaluate the model's value in EUS trainee training by successfully conducting two groups of EUS trainees in model learning and trainer-guided training. The intersection over union (IoU) and the time to find the lesion were used to evaluate the model performance metrics, and the Mann-Whitney test was used to compare the IoU and the time to find the lesion in different groups of subjects. Paired t-test was used to compare the effects before and after training. When α≤0.05, it is considered to have a significant statistical difference. The model test showed that the model successfully captured and segmented the pancreatic solid mass region in 906 EUS images. The real-time capture and segmentation model had a Dice coefficient of 0.763, a recall rate of 0.941, a precision rate of 0.642, and an accuracy of 0.842 (when the threshold is set to 0.5), and the median IoU of all cases was 0.731. For the AI training effect, the averageIoU of eight trainees improved from 0.80 to 0.87 (95% CI, 0.032-0.096; p=0.002). The average time for identifying lesions inthepancreaticbodyandtail improved from 22.75 to 17.98 s (95% CI, 3.664-5.886; p < 0.01). The average time for identifying lesions inthe pancreatic head and uncinate processimproved from 34.21 to 25.92 s (95% CI, 7.661-8.913; p < 0.01). CH-EUS MASTER can provide an effect equivalent to trainer guidance in training pancreatic solid mass identification and segmentation under EUS.

Rectal linitis plastica as the first presentation of metastatic lobular breast cancer: an endoscopic ultrasound diagnosis

Gastrointestinal tract is an uncommon site of breast cancer metastasis. Rectal linitis plastica (RLP) is a rare presentation of rectal neoplasia, both primary and secondary, and refers to a diffuse infiltration of the wall by an infiltrating carcinoma. Diagnostic assessment of RLP may be challenging since cross-sectional imaging and endoscopic findings may be nonspecific, and endoscopic biopsies are frequently non-diagnostic due to the submucosal disease localization. Endoscopic ultrasound (EUS) with fine needle biopsy (FNB) is widely used for the diagnostic assessment of sub-epithelial lesions of upper and lower gastrointestinal tract. However, data about the use of EUS in case of rectal linitis plastica are very poor. We present a case of rectal metastasis as the first presentation of lobular breast cancer, presenting as rectal linitis plastica and diagnosed with EUS-FNB.

Systematic review and meta-analysis of endoscopic ultrasonography in staging diagnosis of esophageal cancer after neoadjuvant radiotherapy and chemotherapy.

BackgroundClinically, it is necessary to evaluate the overall situation of the tumor before treatment, understand the disease stage of the patient, and choose the most reasonable treatment plan. Therefore, it is necessary to seek an efficient and accurate staging diagnosis method. Endoscopic ultrasonography (EUS) is widely used in staging esophageal cancer, but its accuracy will be affected by the experience of endoscopic diagnosis physicians.MethodsComputer retrieval PubMed, MEDLINE, EBSCO, Science Direct, Cochrane Library, China National Knowledge Infrastructure (CNKI). Relevant literatures published from the database establishment to January 2022 were searched using “Endoscopic ultrasound, esophageal cancer, neoadjuvant chemotherapy, diagnosis, tumor node metastasis” as the detection term. Quality assessment of diagnostic accuracy studies (QUADAS) was used to evaluate the quality of the included literatures, Q test and heterogeneity (I2) was adopted to evaluate the heterogeneity among various studies, and the sensitivity and specificity of EUS were calculated and compared in evaluating various stages of esophageal cancer.ResultsA total of 12 articles and 824 patients were included. 12 literatures on EUS in diagnosis of T staging were included for heterogeneity test, the combined sensitivity of T1–T4 stage was 0.16 (95% CI: 0.05–0.39), 0.34 (95% CI: 0.20–0.52), 0.78 (95% CI: 0.63–0.88), 0.16 (95% CI: 0.04–0.50). The combined specificity was 0.99 (95% CI: 0.94–1.00), 0.52 (95% CI: 0.36–0.68), 0.98 (95% CI: 0.95–0.99). According to the heterogeneity test of EUS n staging in 9 literatures, the combined sensitivities of N0-N1 stage was 0.62 (95% CI: 0.53–0.71) and 0.65 (95% CI: 0.58–0.72), combined specificities was 0.65 (95% CI: 0.58–0.71) and 0.63 (95% CI: 0.54–0.72).DiscussionBased on the results, EUS is not a good diagnostic test for TNM staging.

Cystic pancreatic neoplasms in a tertiary gastroenterologic referral center: Evaluation of the diagnostic accuracy of endoscopic ultrasound, progression rate and malignancy rate in a large unicentric cohort.

Cystic pancreatic neoplasms (CPN) are frequently diagnosed due to better diagnostic techniques and patients becoming older. However, diagnostic accuracy of endoscopic ultrasound (EUS) and value of follow-up are still unclear. The aim of our retrospective study was to investigate the frequency of different cystic pancreatic neoplasms (intraductal papillary mucinous neoplasm [IPMN], serous and mucinous cystadenoma, solid pseudopapillary neoplasia), diagnostic accuracy, size progression, and rate of malignancy using EUS in a tertiary reference center in Germany. Between January 1, 2012 and December 31, 2018, 455 patients were diagnosed with cystic pancreatic lesions (798 EUS examinations). Endoscopic ultrasound diagnosed 223 patients with cystic pancreatic neoplasms, including 138 (61.9%) patients with branch duct IPMN, 16 (7.2%) with main duct IPMN, and five (2.2%) with mixed-type IPMN. In the largest subgroup of branch duct IPMN, cysts were size progressive in 20 patients (38.5%). Fine needle aspiration (FNA) was performed in 21 patients, and confirmed the suspected diagnosis in 12/21 patients. 28 surgical resections were performed, in 7/28 patients (25%), high-grade dysplasia or cancer was diagnosed. Endoscopic ultrasound diagnosis of serous and mucinous cystic pancreatic neoplasms was correct in 68.4%. Endoscopic ultrasound differential diagnosis of CPNs is challenging. Even in a tertiary expert center, differentiation of serous and mucinous cystic neoplasia is not guaranteed. Relevant size progression of CPN, however, is rare, as is the rate of malignancy. The data of this study suggest that morphologic criteria to assess pancreatic cysts alone are not sufficient to allow a clear diagnosis. Hence, for the improved assessment of pancreatic cysts, EUS should be combined with additional tests and techniques such as MRT/MRCP, contrast-enhanced EUS, and/or FNA/fine needle biopsy including fluid analysis. The combination and correlation of imaging studies with EUS findings is mandatory.

Endoscopic ultrasound in diagnosis and management of some gastrointestinal - pancreaticobiliary diseases at Hue University of Medicine and Pharmacy Hospital

Background: Gastrointestinal - pancreaticobiliary diseases is a major pathology relating to organs from the mouth to the anus and biliary tree. Endoscopic ultrasound (EUS) helps to assess deeper organs in the abdomen such as pancreas, biliary tree, lesions inside and outside the alimentary tract as well as regional lymph nodes. We proceeded this study to: (1) To examine some characteristics of patients, indications and safety of EUS, (2) To evaluate roles of EUS in diagnosis and management of gastrointestinal - pancreaticobiliary diseases. Materials and method: A cross-sectional study was conducted on 1615 patients undergoing endoscopic ultrasound at Hue University of Medicine and Pharmacy Hospital. Results: Male:female ratio = 1.4:1. Average age was 56.1 ± 15.1. Patients living in Hue was 79.9%, not living in Hue was 20.1%. Indications of EUS: in biliary diseases 37.1%, in pancreatic diseases 31.3%, in stomach 11.8%, in colon 9.0%, in esophagus 8.6%, and in duodenum 2.2%. Complications rates were very low. Lesions in gastrointestinal tract: Subepithelial lesions in stomach 57.9%, in esophagus 23.7%, in duodenum 13.6%, in colo-rectum 4.8%; cancer in colo-rectum 48.8%, in esophagus 33.2%, in stomach 16.3%, and in duodenum 1.7%. Lesions in biliary tree: gallstones 76%, common bile duct cyst 9.5%, bile duct parasitic lesions 4.3%, Vater tumor 3.8%, unknown causes biliary tract dilation 3.4% and cholangiocarcinoma 3.0%. Lesions in pancreas: chronic pancreatitis40.6%, pancreatic cancer 24.6%, acute pancreatitis 18.4%, pancreatic cyst 10.9% and lymph nodes 5.5%. EUSfine needle aspiration and EUS-guided drainage of pancreatic pseudocysts: FNA for 18 pancreatic tumors, 3 pancreatic cysts and 7 lymph nodes; drainage for 4 pancreatic pseudocysts. Conclusions: Diagnostic and interventional EUS were effectively and relatively safe in assessing lesions in alimentary tract and biliary diseases, as well as supporting to achieve samples through fine needle aspiration, and to drain pancreatic pseudocysts. Key words: endoscopy, endosonography

Comparison of Endoscopic Ultrasonography and Conventional Endoscopy for Prediction of Tumor Depth in Superficial Nonampullary Duodenal Epithelial Tumors

Background: The utility of endoscopic ultrasonography (EUS) in predicting tumor depth among superficial nonampullary duodenal epithelial tumors (SNADETs) is unclear. The aim was to compare EUS with conventional endoscopy (CE) for the evaluation of tumor invasion of SNADETs. Methods: A retrospective analysis was performed on consecutive 174 lesions/169 patients with duodenal dysplasia or adenocarcinoma with invasion up to submucosa who underwent both CE and EUS before endoscopic (n = 133) or surgical (n = 41) treatment. Endoscopic staging by CE was performed based on the characteristic endoscopic criteria of submucosal invasion (irregular surface, submucosal tumor [SMT]-like marginal elevation, and fusion of converging folds). The diagnostic performance of each test was compared with the final histology. Results: The sensitivity and accuracy of estimating the depth were higher for CE compared to that of EUS (99.4% vs. 89.4%, p < 0.01 and 97.7% vs. 87.9%, p < 0.01, respectively). Univariate analysis of endoscopic factors revealed that tumor diameter, red color, SMT-like appearance, and hypoechogenicity were factors related to advanced histology. Multivariate analysis revealed that the presence of SMT-like appearance based on CE was an independent factor to predict submucosal invasion (p = 0.025). Gross morphology of the combined type was associated to incorrect diagnosis of EUS (p = 0.007). Among 3 cases in which EUS overestimated the tumor depth, carcinoma extension in submucosal Brunner’s gland or nontumorous submucosal cystic dilation was observed. Conclusion: EUS may not be necessary, and CE may be sufficient for determining the optimal therapeutic strategy for SNADETs.

Imaging of Fibrosis in Chronic Pancreatitis.

Chronic pancreatitis (CP) describes long-standing inflammation of the pancreas, which leads to irreversible and progressive inflammation of the pancreas with fibrosis. CP also leads to abdominal pain, malnutrition, and permanent impairment of exocrine/endocrine functions. However, it is difficult to assess CP pathologically, and imaging modalities therefore play an important role in the diagnosis and assessment of CP. There are four modalities typically used to assess CP. Pancreatic duct features are assessed with magnetic resonance cholangiopancreatography (MRCP) and endoscopic retrograde cholangiopancreatography (ERCP). However, ERCP is a rather invasive diagnostic modality for CP, and can result in adverse events such as post-ERCP pancreatitis. Computed tomography (CT) is often the most appropriate initial imaging modality for patients with suspected CP, and has high diagnostic specificity. However, CT findings typically only appear in advanced stages of CP, and it is difficult to detect early CP. Endoscopic ultrasonography (EUS) provides superior spatial resolution compared with other imaging modalities such as CT and magnetic resonance imaging (MRI), and is considered the most reliable and efficient diagnostic modality for pancreatic diseases. The EUS-based Rosemont classification plays an important role in diagnosing CP in clinical practice. Evaluation of tissue stiffness can be another option to assess the diagnosis and progression of CP, and MRI and EUS can be used to assess CP not only with imaging, but also with elasticity measurement. MR and EUS elastography are expected to provide new alternative diagnostic tools for assessment of fibrosis in CP, which is difficult to evaluate pathologically.

Not So Smart? Artificial Intelligence May Need to Go Deeper to Predict Colorectal Cancer Invasion Depth

Not So Smart? Artificial Intelligence May Need to Go Deeper to Predict Colorectal Cancer Invasion Depth

Endoscopic Ultrasound versus Conventional Ultrasonography as A Diagnostic Tool for Patients with Obstructive Jaundice

Abstract Background Patient presented with jaundice, initial evaluation should be ultrasonography for evaluation of liver parenchymal changes, cirrhosis and assessment of hepatic vascularity and evaluation of intrahepatic, extrahepatic biliary system. Aim of the Work to compare between the Conventional US and Endoscopic Ultrasound in diagnosis of obstructive jaundice and other diagnostic modality including CT/MRI, ERCP for diagnosis and evaluation of the cause of OJ. Patients and Methods This study was conducted on 60 patients with obstructed jaundice as evident by ultrasonography in the form of dilated CBD with IHBRDs, with visualization of Gall bladder content and pancreas if can be well visualized, all patients had clinically apparent jaundice with disturbance of liver biochemical profile, all patient underwent EUS and compare finding with US including CBD diameter and IHBRDs degree. Results EUS provide better visualization of CBD and IHBRDs with diagnosis of pathological lesion including stones, malignancy. EUS also has better visualization of pancreatic pathology including inflammation and malignancy and extent of the tumor including local extent, lymphatic spread with vascular invasion. Conclusion EUS is better than US and other modality CT&amp;MRI and ERCP in diagnosis of distal CBD stricture including malignant obstruction especially in cases of early malignancy and small tumors, and calculary distal obstruction. CT is insensitive in diagnosis of periampullary cancer, EUS provide early diagnosis of Pancreaticobiliary malignancy and give better advandage for early resectability .

EUS and ERCP in the Same Session for Biliary Stones: From Risk Stratification to Treatment Strategy in Different Clinical Conditions.

Endoscopic retrograde cholangiopancreatography (ERCP) with sphincterotomy and stone extraction is the treatment of choice for choledocholithiasis, reaching a successful clearance of the common bile duct (CBD) in up to 90% of the cases. Endoscopic ultrasound (EUS) has the best diagnostic accuracy for CBD stones, its sensitivity and specificity range being 89–94% and 94–95%, respectively. Traditionally seen as two separate entities, the two worlds of EUS and ERCP have recently come together under the new discipline of bilio-pancreatic endoscopy. Nevertheless, the complexity of both EUS and ERCP led the European Society of Gastrointestinal Endoscopy to identify quality in endoscopy as a top priority in its recent EUS and ERCP curriculum recommendations. The clinical benefits of performing EUS and ERCP in the same session are several, such as benefiting from real-time information from EUS, having one single sedation for both the diagnosis and the treatment of biliary stones, reducing the risk of cholangitis/acute pancreatitis while waiting for ERCP after the EUS diagnosis, and ultimately shortening the hospital stay and costs while preserving patients’ outcomes. Potential candidates for the same session approach include patients at high risk for CBD stones, symptomatic individuals with status post-cholecystectomy, pregnant women, and those unfit for surgery. This narrative review discusses the main technical aspects and evidence from the literature about EUS and ERCP in the management of choledocholithiasis.

The Value of Endoscopic Ultrasonography in the Endoscopic Resection of Gastrointestinal Stromal Tumors.

ObjectiveThis study aimed to explore the clinical value of endoscopic ultrasonography (EUS) in the endoscopic resection of gastrointestinal stromal tumors (GISTs).MethodsA retrospective study of 92 patients who were confirmed to have GISTs by endoscopic resection after EUS examination was conducted. The preoperative features of the EUS examination, ultrasound diagnosis, endoscopic resection methods, surgical procedures, complications, and complete degree of lesion resection were recorded. And 16 patients who were diagnosed by endoscopy and EUS and confirmed by surgical operation were included and analyzed in the subsequent part of the investigation (gastroscopy and EUS image analysis, EUS image and risk classification).ResultsThe preoperative diagnosis rate of EUS and postoperative pathological diagnosis of GISTs was 78.7% (85/108), and the presence of a non-homogeneous echo and liquid anechoic zone in GISTs often indicated higher risk (P < 0.05). There was a positive correlation between tumor size and risk (P < 0.05).ConclusionThe endoscopic resection of GISTs is feasible and safe. EUS is of great significance for the diagnosis and risk assessment of GISTs and can assist in the endoscopic resection of GISTs.

Endoscopic Ultrasonography Diagnosis of Early Pancreatic Cancer.

Early diagnosis of pancreatic cancer (PC) can improve patients’ prognosis. We aimed to investigate the utility of endoscopic ultrasonography (EUS) for the early diagnosis of PC. This study included 64 patients with PC at an early stage treated at Onomichi General Hospital between January 2007 and January 2020. Diagnostic procedures included contrast computed tomography (CT), magnetic resonance cholangiopancreatography, EUS fine-needle aspiration, and endoscopic retrograde cholangiopancreatography (ERCP) for pancreatic juice cytology. The mean age was 71.3 years. In all, 32 patients were stage 0, and 32 were stage I. As for image findings, the main pancreatic duct (MPD) stenosis was detected in several cases, although CT and MRCP seldom detected tumors. EUS had a high detection rate for stage 0 tumor lesions. The median observation period was 3.9 years. In cases with stage 0, the 1 year and 5 year survival rates were 100% and 78.9%, respectively. In cases with stage I, the 1 year and 5 year survival rates were 96.4% and 66.7%, respectively. EUS has the highest sensitivity among all imaging modalities for detecting small pancreatic tumors. Cases with MPD dilation or stenosis, especially with tumors that cannot be identified on CT and MRI, should have EUS performed. In some cases, EUS was not able to detect any tumor lesions, and ERCP-based pancreatic juice cytology should be useful for pathological diagnosis.

Interobserver Reliability of Endoscopic Ultrasonography: Literature Review.

Endoscopic ultrasonography (EUS) has been applied to the diagnosis of various digestive disorders. Although it has been widely accepted and its diagnostic value is high, the dependence of EUS diagnosis on image interpretation done by the endosonographer has persisted as an important difficulty. Consequently, high interobserver reliability (IOR) in EUS diagnosis is important to demonstrate the reliability of EUS diagnosis. We reviewed the literature on the IOR of EUS diagnosis for various diseases such as chronic pancreatitis, pancreatic solid/cystic mass, lymphadenopathy, and gastrointestinal and subepithelial lesions. The IOR of EUS diagnosis differs depending on the disease; moreover, EUS findings with high IOR and those with IOR that was not necessarily high were used as diagnostic criteria. Therefore, to further increase the value of EUS diagnosis, EUS diagnostic criteria with high diagnostic characteristics based on EUS findings with high IOR must be established.

Quantitative characterization of the colorectal cancer in a rabbit model using high-frequency endoscopic ultrasound

PurposeColonoscopy accompanied with biopsy works as the routine endoscopic strategy for the diagnosis of colorectal cancer (CRC) in clinic; however, the colonoscopy is limited to the tissue surface. During the last decades, enabling technologies are emerging to complement with the colonoscopy for better administration of CRC. The conventional low-frequency (<12 MHz) endoscopic ultrasound (EUS) guided fine-needle aspiration (FNA) has been widely used to assess the lesion penetration. With the high-frequency ultrasound transducer (>20 MHz), EUS allows more precise visualization of the colorectal abnormalities. In order to achieve the accurate detection or in situ characterization of the colorectal lesions, the EUS diagnosis needs more patho-physiological related information in the micro-structural or molecular level. Quantitative ultrasound (QUS) technique, which could extract the micro-structural information from the ultrasound radio-frequency (RF) signal, is promising for the non-invasive tissue characterization. To date, the knowledge of the high-frequency endoscopic QUS for the CRC characterization has not been fully determined. MethodsIn this work, to our best knowledge, it is the first application of the QUS technique based on a customized high-frequency EUS system (30.5 MHz center frequency) to characterize the colorectal malignancies in a VX2 rabbit CRC model. To eliminate the response from the ultrasound electronic system and transducer, the ultrasound signals from colon tissue were calibrated. And, the resulting quasi-liner ultrasound spectra were fit by the linear regression test. As a result, three spectral parameters, including the slope (k), intercept (I) and Midband Fit (M), were obtained from the best-fit line. The three spectral parameters were compared between the malignant tissue regions and adjacent normal tissue regions of the colon tissue specimen ex vivo. The independent t-test was conducted between the three parameters from the normal and malignant group. The statistical method of Fisher Linear Discriminant (FLD) was used to explore the linear combinations of the three parameters, so as to provide more tissue micro-structural features than the single parameter alone. The three FLD values were derived from three different combinations among k, I and M. The threshold was selected from the statistical analysis to optimize the differentiation criteria between the malignant and the normal tissues. The color-coded images were used to display the local FLD values and combined with the EUS B-mode image. Results and ConclusionsThe mean Midband Fit (M) and intercept (I) showed significant differences between the malignant and normal tissue regions. The statistical analysis showed that there were significant differences in all the mean FLD values of the spectral parameter combinations (kI, kM and IM) (t test, P < 0.05). And, the combined image result from the B-mode image and color-coded image could visually correlate with the histology result. In conclusion, the high-frequency endoscopic QUS technique was potential to be used as a complementary method to distinguish the colorectal malignancies by leveraging its morphological and micro-structural ultrasound information.