Guidelines for endoscopic diagnosis of early gastric cancer

Assessing the effectiveness of texture and color enhancement imaging versus white-light endoscopy in detecting gastrointestinal lesions: A systematic review and meta-analysis

Introduction

Gastrointestinal cancers account for 26% of cancer incidence and 35% of cancer-related deaths globally. Early detection is crucial but often limited by white light endoscopy (WLE), which misses subtle lesions. Texture and color enhancement imaging (TXI), introduced in 2020, enhances texture, brightness, and color, addressing WLE's limitations. This meta-analysis evaluates TXI's effectiveness compared to WLE in gastrointestinal lesion lesion detection.

Methods

A systematic review and meta-analysis were conducted per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Searches of CENTRAL, PubMed, Embase, and Web of Science identified randomized controlled trials and observational studies comparing TXI with WLE. Outcomes included lesion detection rates, color differentiation, and visibility scores. The risk of bias was assessed using the Cochrane ROB 2.0 tool and Newcastle-Ottawa tools, and evidence certainty was evaluated using Grading of Recommendations Assessment, Development, and Evaluation.

Results

Seventeen studies with 16,634 participants were included. TXI significantly improved color differentiation (mean difference: 3.31, 95% confidence interval [CI]: 2.49-4.13), visibility scores (mean difference: 0.50, 95% CI: 0.36-0.64), and lesion detection rates (odds ratio [OR]: 1.84, 95% CI: 1.52-2.22) compared to WLE. Subgroup analyses confirmed TXI's advantages across pharyngeal, esophageal, gastric, and colorectal lesions. TXI also enhanced adenoma detection rates (OR: 1.66, 95% CI: 1.31-2.12) and mean adenoma detection per procedure (mean difference: 0.48, 95% CI: 0.25-0.70).

Conclusion

TXI improves gastriontestinal lesion lesion detection by enhancing visualization and color differentiation, addressing key limitations of WLE. These findings support its integration into routine endoscopy, with further research needed to compare TXI with other modalities and explore its potential in real-time lesion detection.

Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects

Gastric cancer (GC) occupies the first few places in the world among tumors in terms of incidence and mortality, causing serious harm to human health, and at the same time, its treatment greatly consumes the health care resources of all countries in the world. The diagnosis of GC is usually based on histopathologic examination, and it is very important to be able to detect and identify cancerous lesions at an early stage, but some endoscopists' lack of diagnostic experience and fatigue at work lead to a certain rate of under diagnosis. The rapid and striking development of Artificial intelligence (AI) has helped to enhance the ability to extract abnormal information from endoscopic images to some extent, and more and more researchers are applying AI technology to the diagnosis of GC. This initiative has not only improved the detection rate of early gastric cancer (EGC), but also significantly improved the survival rate of patients after treatment. This article reviews the results of various AI-assisted diagnoses of EGC in recent years, including the identification of EGC, the determination of differentiation type and invasion depth, and the identification of borders. Although AI has a better application prospect in the early diagnosis of ECG, there are still major challenges, and the prospects and limitations of AI application need to be further discussed.

Risk factors and predictive nomogram for non-curative resection in patients with early gastric cancer treated with endoscopic submucosal dissection: a retrospective cohort study

INTRODUCTION

The objective of this study was to determine independent clinicopathological factors that can predict submucosal invasion and non-curative resection (NCR) outcomes after endoscopic submucosal dissection (ESD) in patients with early gastric cancer (EGC).

METHODS

Data were collected from consecutive patients who underwent gastric ESD at the First Affiliated Hospital of Ningbo University between 2016 and 2023. A retrospective analysis was conducted using the chi-squared test and logistic regression analysis. Multiple logistic regression analysis was applied to investigate factors independently predicting both submucosal invasion and NCR. These factors were used to construct predictive nomograms.

RESULTS

A total of 511 patients (535 EGC lesions) underwent ESD. Of these, 452 were curative (84.7%), and 83 (15.5%) were non-curative. Multivariate analysis revealed that location in the body and fundus or cardia of the stomach, larger tumor size (≥ 30 mm), and histological undifferentiated type were independent risk factors for submucosal invasion and deep submucosal invasion in patients with EGC (all P < 0.05). Multivariate analysis showed that tumor size of 20 ~ 29 mm, tumor size ≥ 30 mm, elevated lesions, depressed lesions, undifferentiated tumors and submucosal invasion were all independent predictors of NCR for EGCs (all P < 0.05). The area under the ROC curve (AUC) of the nomogram model for predicting submucosal invasion and non-curative resection was 0.821 (95% CI, 0.758 ~ 0.884) and 0.937 (95%CI, 0.889 ~ 0.985), respectively.

CONCLUSIONS

We developed nomograms to predict the risk of submucosal invasion and NCR prior to ESD. These predictive factors in addition to the existing ESD criteria can help provide the best treatment option for patients with EGC.

Correlation between Tomographic and Histopathological Staging in Upfront Resected Gastric Cancer: Enhancing Diagnostic Accuracy in the Era of Perioperative Therapy

PURPOSE

This study aimed to assess the diagnostic accuracy of multidetector contrast-enhanced computerised tomography (MDCT) and to establish a correlation between radiological and histopathological staging in upfront resected localised gastric cancers (GC).

METHODS

All consecutive patients of resectable, localised GC who underwent upfront elective resection between 2010 and 2022 were included. The initial clinical staging determined during multidisciplinary meetings was compared with the pathological stage obtained after surgery. Subsequently, a retrospective, blinded review was conducted to assign a revised clinical staging, and accuracy was correlated.

RESULTS

The analysis of 138 patients revealed varying accuracy of MDCT in determining the T stage (66.9% for T1/T2, 64.6% for T3, and 87.2% for T4) and N stage (60.8% for N0, 63.7% for N1, and 83.2% for N2). The accuracy for stage group ranged from 71 to 78.65%. There was weak agreement observed between the T, N, and overall stage on clinicopathological correlation. However, a blinded radiology review by oncoradiologists resulted in improved accuracy, particularly in T1/T2 disease, and also improved pathological stage correlation.

CONCLUSIONS

Although MDCT is a valuable initial staging tool for gastric cancer, we found weak agreement between the clinical and the pathological stages in upfront resected gastric cancers. By implementing an expert radiology review and standardising scanning and reporting protocols, we can significantly improve the accuracy and correlation of MDCT with pathology, even for T1/T2 disease. This may help in better selecting patients for upfront surgery versus perioperative chemotherapy, especially in resource-constrained settings.

Association between gastrointestinal lesions in individuals undergoing gastroscopy and colonoscopy simultaneously: a retrospective, observational study

BACKGROUND

Due to the common developmental origination and influences by similar unhealthy lifestyle, upper and lower gastrointestinal (GI) diseases may be closely associated. However, the evidence remains elusive. This study aims to determine the prevalence of GI endoscopic lesions and the correlations between endoscopic lesions in individuals undergoing gastroscopy and colonoscopy simultaneously.

METHODS

A retrospective study was conducted on 18,556 individuals who underwent simultaneous gastroscopy and colonoscopy at the Endoscopy Center of Xijing Hospital of Digestive Diseases from January 2020 to March 2023. Data on sex, age, pathological and endoscopic results were collected. The Pearson chi-square test was used to analyze the occurrence of various GI lesions among age groups and correlations between GI lesions, and logistic regression was used to determine risk factors for common upper and lower GI lesions.

RESULTS

The mean age was 50.35 ± 12.31 years, and 55.5% of participants were male. At least one endoscopic abnormality was observed in 16,530 cases (89.1%), with 8253 cases (44.5%) showing abnormalities in both the upper and lower GI tract. The most common upper GI endoscopic lesions were chronic atrophic gastritis (CAG, 47.7%), reflux esophagitis (RE, 24.7%), and other gastritis (18.1%). Colorectal polyps (CPs) were the most prevalent lower GI endoscopic condition, observed in 37.5% of cases. The detection of CAG, RE, CPs increased with age, and was higher in man. Moreover, the presence of CAG was associated with the occurrence of CPs (kappa value = 0.135, p < 0.001), which was independent of age and gender.

CONCLUSION

Most GI diseases are more prevalent in men and the elderly. Additionally, CAG is independently correlated with the occurrence of endoscopic CPs.

Advances in gastrointestinal endoscopy: A comprehensive review of innovations in cancer diagnosis and management

The field of gastroenterology has experienced revolutionary advances over the past years, as flexible endoscopes have become widely accessible. In addition to enabling faster, less invasive, and more affordable treatment, flexible endoscopes have greatly improved the detection and endoscopic screening of malignancies and prevented many cancer-related deaths. The development and clinical application of new diagnostic endoscopic technologies, such as magnification endoscopy, narrow-band imaging, endoscopic ultrasound with biopsy, and more recently, artificial intelligence enhanced technologies, have made the recognition and detection of various neoplasms and sub-epithelial tumors more possible. This review demonstrates the latest advancements in endoscopic procedures, techniques, and devices applied in the diagnosis and management of gastrointestinal cancer.

LoC-SERS detection platform based on targeted signal anchoring mechanism, high-sensitivity detection of protein biomarkers in precancerous lesions of gastric cancer

In this study, a novel lab-on-a-chip surface-enhanced Raman scattering (LoC-SERS) analysis platform was developed based on chip laboratory for monitoring precancerous lesions of GC. The platform integrated graphene-like Au nano-hexagonal arrays (Au NHAs) as a high-efficiency plasma substrate with the highly integrated microarray chip as an ideal system for sensitive recognition and rapid quantification of matrix metalloproteinase-9 (MMP-9) and interleukin-6 (IL-6) based on the targeted signal anchoring mechanism. Au NHAs were surface modified to form a double stranded structure with aptamer chains and single stranded DNA1 (ssDNA1), Au nanobipyramid with Ag shell (Au NBP@Ag) surface modified single stranded DNA2 (ssDNA2) and Raman signaling molecules. When the target is present, the aptamer specifically captures the target protein and detaches from the Au NHAs surface, exposing ssDNA1 and ssDNA2 to pair and bind. This resulted in the Au NBP@Ag probe carrying the signaling molecule anchoring to the surface of Au NHAs, thereby enhancing the SERS signal. The platform demonstrated excellent detection efficiency and could complete detection tasks within 20 min. The platform can detect MMP-9 and IL-6 at levels down to the pg/mL order of magnitude, demonstrating excellent detection sensitivity. In addition, the platform has the capability of simultaneous dual-target detection, demonstrating good clinical applicability and accuracy when testing real serum samples. Overall, this platform provides an efficient solution for early diagnosis and progression monitoring of precancerous lesions of GC, further providing a scientific basis for clinical decision-making and intervention.

Artificial intelligence-assisted esophagogastroduodenoscopy improves procedure quality for endoscopists in early stages of training

Background and study aims

Completeness of esophagagogastroduodenoscopy (EGD) varies among endoscopists, leading to a high miss rate for gastric neoplasms. This study aimed to determine the effect of the Cerebro real-time artificial intelligence (AI) system on completeness of EGD for endoscopists in early stages of training.

Patients and methods

The AI system was built with CNN and Motion Adaptive Temporal Feature Aggregation (MA-TFA). A prospective sequential cohort study was conducted. Endoscopists were taught about the standardized EGD protocol to examine 27 sites. Then, each subject performed diagnostic EGDs per protocol (control arm). After completion of the required sample size, subjects performed diagnostic EGDs with assistance of the AI (study arm). The primary outcome was the rate of completeness of EGD. Secondary outcomes included overall inspection time, individual site inspection time, completeness of photodocumentation, and rate of positive pathologies.

Results

A total of 466 EGDs were performed with 233 in each group. Use of AI significantly improved completeness of EGD [mean (SD) (92.6% (6.2%) vs 71.2% (16.8%)]; P <0.001 (95% confidence interval 19.2%-23.8%, SD 0.012). There was no difference in overall mean (SD) inspection time [765.5 (338.4) seconds vs 740.4 (266.2); P =0.374]. Mean (SD) number of photos for photo-documentation significantly increased in the AI group [26.9 (0.4) vs 10.3 (4.4); P <0.001]. There was no difference in detection rates for pathologies in the two groups [8/233 (3.43%) vs 5/233 (2.16%), P =0.399].

Conclusions

Completeness of EGD examination and photodocumentation by endoscopists in early stages of are improved by the AI-assisted software Cerebro.

The combination of CA125, CA199, CEA, and AFP is an effective diagnostic biomarker for gastric cancer in elderly individuals

BACKGROUND

Serum tumour markers (TMs) such as alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199) and CA125 have been established as prognostic indicators for gastric cancer (GC); however, the diagnostic value of these markers for GC in older adults has yet to be examined. Therefore, this study aimed to explore the diagnostic and prognostic significance of AFP, CEA, CA199 and CA125 for GC in elderly individuals.

METHODS

A total of 188 patients who visited The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, from May 2021 to March 2024 were selected for this study. TMs, namely, CA199, CA125, CEA, and AFP, were examined in all patients. Comparisons of these TMs were conducted among the three groups, and TM levels were compared in patients with GC at various TNM stages. The diagnostic value of these TMs for GC was evaluated by calculating the area under the curve (AUC).

RESULTS

We selected 89 patients diagnosed with GC: 52 patients with benign gastric diseases and 47 healthy individuals for our study. The positivity rates of AFP, CA125, CEA and CA199 were significantly greater in the GC group (31.46%, 31.46%, 43.82% and 23.60%, respectively) than in the benign gastric disease group and healthy control group. The diagnostic sensitivities of CEA, CA125, CA199 and AFP for GC were 31.46%, 29.21%, 44.90% and 24.72%, respectively. The combination of these markers yielded a sensitivity of 65.17%, which was significantly greater than the sensitivity of each marker alone (P < 0.05). Additionally, patients with stage I-II disease had significantly lower serum levels of CEA, CA199, CA125, and AFP than did those with stage III-IV disease.

CONCLUSIONS

The levels of serum TMs, including CA12-5, CEA, CA199 and AFP, are elevated in elderly individuals with GC, indicating a higher TNM stage. The combination of CEA, CA12-5, CA199 and AFP has enhanced diagnostic value for GC, thereby offering significant clinical guidance. However, this study is limited by its retrospective design and lack of external validation, which should be addressed in future prospective trials.

The simplified depth-predicting score outperforms the depth-predicting score for predicting the depth of invasion in differentiated early gastric cancer patients among nonexpert endoscopists

AIM

Endoscopists utilize depth-predicting score (DPS) and simplified depth-predicting score (S-DPS) to predict the invasion depth of early gastric cancer based on conventional white-light endoscopic features. The effectiveness of these scores has not been fully elucidated among nonexpert endoscopists. This study aimed to compare the ability of DPS and S-DPS to predict invasion depth of differentiated early gastric cancers by nonexpert endoscopists.

PARTICIPANTS AND METHODS

We collected subitem scores of DPS and S-DPS from 19 nonexpert endoscopists for early gastric cancer conventional white-light endoscopy images in the test dataset to predict the invasion depth of the early gastric cancer conventional white-light endoscopy images. Accuracy, specificity, overdiagnosis rate, and underdiagnosis rate were subsequently calculated using the histological invasion depth as the gold standard.

RESULTS

Using 3 as the cutoff line, the overall S-DPS diagnostic accuracy for invasion depth was significantly greater than that of DPS [73.86% (69.32%, 75.00%) vs. 67.05% (62.50%, 71.59%), p=0.005]. The overall S-DPS overdiagnosis rate was significantly lower than that of DPS [7.58% (3.03%, 13.64%) vs. 28.79% (18.18%, 37.88%), p=0.000]. The overall S-DPS under-diagnosed rate was significantly higher than that of DPS [86.36% (68.18%, 90.91%) vs. 45.45% (31.82%, 59.09%), p=0.000]. The specificity of the S-DPS was significantly greater than that of DPS [92.42% (86.36%, 96.97%) vs. 71.21% (62.12%, 81.82%), p=0.000].

CONCLUSION

The diagnostic accuracy of the S-DPS was greater than that of the DPS among nonexpert endoscopists. Furthermore, S-DPS is simpler than other methods, making it more conducive to clinical application for nonexpert endoscopists.

Linked color imaging and upper gastrointestinal neoplasia

White light imaging (WLI) can sometimes miss early upper gastrointestinal (UGI) neoplasms, particularly minimal changes and flat lesions. Moreover, endoscopic diagnosis of UGI neoplasia is strongly influenced by the condition of the surrounding mucosa. Recently, image-enhanced endoscopy techniques have been developed and used in clinical practice; one of which is linked color imaging (LCI), which has an expanded color range for better recognition of slight differences in mucosal color and enables easy diagnosis and differentiation of noncancerous mucosa from carcinoma. LCI does not require magnified observation and can clearly visualize structures using an ultrathin scope; therefore, it is useful for screening and surveillance endoscopy. LCI is particularly useful for detecting gastric cancer after Helicobacter pylori eradication, which accounts for most gastric cancers currently discovered, and displays malignant areas in orange or orange-red surrounded by intestinal metaplasia in lavender. Data on the use of convolutional neural network and computer-aided diagnosis with LCI for UGI neoplasm detection are currently being collected. Further studies are needed to determine the clinical role of LCI and whether it can replace WLI.

A risk prediction model for gastric cancer based on endoscopic atrophy classification

BACKGROUNDS

Gastric cancer (GC) is a prevalent malignancy affecting the digestive system. We aimed to develop a risk prediction model based on endoscopic atrophy classification for GC.

METHODS

We retrospectively collected the data from January 2020 to October 2021 in our hospital and randomly divided the patients into training and validation sets in an 8:2 ratio. We used multiple machine learning algorithms such as logistic regression (LR), Decision tree, Support Vector Machine, Random forest, and so on to establish the models. We employed the Least absolute shrinkage and selection operator (LASSO) to screen variables for the LR model. However, we chose all the variables to construct the models for other machine learning algorithms. All models were evaluated using the receiver operating characteristic curve (ROC), predictive histograms, and decision curve analysis (DCA).

RESULTS

A total of 1156 patients were selected for the analysis. Five variables, including age, sex, family history of GC, HP infection status, and Kimura-Takemoto Classification (KTC), were screened using LASSO analysis. The area under the curve (AUC) of all the machine learning models ranged from 0.762 to 0.974 in the training set and from 0.608 to 0.812 in the validation set. Among them, the LR model exhibited the highest AUC value (0.812, 95%CI: 0.737-0.887) in the validation set with good calibration and clinical applicability. Finally, we constructed a nomogram to demonstrate the LR model.

CONCLUSIONS

We established a nomogram based on endoscopic atrophy classification for GC, which might be valuable in predicting GC risk and assisting clinical decision-making.

SphK2 promotes the progression of Helicobacter pylori-positive gastric cancer by regulating the Ras/MEK/ERK pathway

BACKGROUND

Helicobacter pylori (H. pylori) infection promotes gastric cancer (GC) through various mechanisms. It causes inflammation and damage to the gastric mucosa, thereby increasing the risk of developing GC. Sphingolipids can act as signaling molecules that activate or inhibit intracellular signaling pathways, and abnormal sphingolipid metabolism may promote tumorigenesis and metastasis. This study aimed to explore the relationship among sphingosine kinase 2 (SphK2) expression, GC progression, and H. pylori infection.

METHODS

Expression profile data for SphK2 were extracted from public datasets. Normal human gastric mucosal and GC cells were co-incubated with H. pylori, and SphK2 expression in these cells was detected using western blotting. GC cells with SphK2 overexpression and knockdown were established, and the effects of SphK2 and H. pylori on the proliferation, migration, and invasion abilities of GC cells were verified using CCK-8, EdU, and Transwell assays. The expression of Ras/MEK/ERK pathway-related proteins was detected using western blotting, and the secretion of pro-inflammatory cytokines TNF-α, IL-6 and IL-1β in GC cells was detected using ELISA.

RESULTS

SphK2 is highly expressed in GC cells and is associated with a poor prognosis. The expression of SphK2 in GC cells is related to H. pylori infection. SphK2 overexpression promotes the proliferation, migration, and invasion of GC cells and enhances the pro-inflammatory effects of H. pylori.

CONCLUSION

SphK2 promotes the progression of H. pylori-positive GC by activating the Ras/MEK/ERK pathway.

A prospective and comparative study on improving the diagnostic accuracy of early gastric cancer based on deep convolutional neural network real-time diagnosis system (with video)

BACKGROUND

Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear whether deep convolutional neural network (DCNN) model could improve the endoscopists' diagnostic performance.

METHODS

We established a DCNN-assisted system and found that accuracy of diagnosis is higher than endoscopists. We prospectively collected an independent image test set of 1289 images and a video test set of 130 patients from three endoscopic centers to compare the diagnostic efficacy of 12 endoscopists before and after DCNN model assistance. Accuracy, sensitivity, specificity, time, and AUC were the main indicators for comparison.

RESULTS

The DCNN model discriminated EGC from the control group (including ulcers and chronic gastritis) with an AUC of 0.917, a sensitivity of 93.38% (95% CI 91.09-95.12%), and a specificity of 90.07% (95% CI 87.59-92.10%) in the image dataset. The video test dataset have an AUC of 0.930, a sensitivity of 96.92% (95% CI 88.83-99.78%), and a specificity of 89.23% (95% CI 79.11-94.98%). The diagnostic performance of novice endoscopists was comparable to those of expert endoscopists with the DCNN model's assistance (accuracy: 95.22 vs. 96.16%) in image test dataset. In the video test, the novice endoscopists, accuracy after DCNN assistance was also improved from 79.36 to 86.41%, and from 86.28 to 91.03% for expert endoscopists. The mean pairwise kappa value of endoscopists was increased significantly with the DCNN model's assistance (0.705-0.753 vs.0.767-0.890) in image testing, and (0.657-0.793 vs. 0.738-0.905) in video testing. The diagnostic duration reduced considerably with the assistance of the DCNN model from 7.09 ± 0.6 s to 5.05 ± 0.55 s in image test, and from 2392.17 ± 7.77 s to2378.34 ± 23.51 s in video test.

CONCLUSION

We developed a DCNN-assisted diagnostic system. And the system can improve the diagnostic performance of endoscopists and help novice endoscopists achieve diagnostic accuracy comparable to that of expert endoscopists.

Impact of sarcopenic obesity on postoperative outcomes in patients with oesophago-gastric cancer: A systematic review and meta-analysis

BACKGROUND

We elucidated the influence of sarcopenic obesity on postoperative outcomes in patients with oesophago-gastric cancer.

METHODS

We conducted a systematic search on MEDLINE, the Cochrane Central Register of Controlled Trials, EMBASE, the World Health Organization International Clinical Trials Platform Search Portal, and ClinicalTrials.gov to identify observational studies published from their inception to September 26, 2024. Studies involving patients who underwent radical resection for oesophago-gastric cancer and were evaluated for visceral fat mass and skeletal muscle mass through body composition were included in our analysis. The primary outcomes assessed were overall survival (OS) and postoperative complications. This protocol was registered in PROSPERO (CRD42023418403).

RESULTS

Ultimately, 13 studies (involving 4912 patients) were included in our qualitative and quantitative analyses. Among these studies, three were prospective cohort studies, while the remaining 10 were retrospective cohort studies. Twelve studies specifically investigated gastric cancer, while one focused on esophageal cancer. The prevalence of sarcopenic obesity ranged from 5.7% to 28.7%. Compared to the absence of sarcopenic obesity, its presence worsens OS (hazard ratio: 1.52, 95% confidence interval: 1.08-2.15, heterogeneity (I2) = 66%, certainty of the evidence: low) and increases the risk of postoperative complications (relative risk ratio: 1.88, 95% CI: 1.29-2.73, I2 = 77%, certainty of the evidence: moderate). The risk of bias in each study was deemed moderate to high.

CONCLUSIONS

Sarcopenic obesity worsens OS and increases the risk of postoperative complications in patients with oesophago-gastric cancer undergoing radical resection.

Transforming cancer screening: the potential of multi-cancer early detection (MCED) technologies

Early cancer detection substantially improves the rate of patient survival; however, conventional screening methods are directed at single anatomical sites and focus primarily on a limited number of cancers, such as gastric, colorectal, lung, breast, and cervical cancer. Additionally, several cancers are inadequately screened, hindering early detection of 45.5% cases. In contrast, Multi-Cancer Early Detection (MCED) assays offer simultaneous screening of multiple cancers from a single liquid biopsy and identify molecular changes before symptom onset. These tests assess DNA mutations, abnormal DNA methylation patterns, fragmented DNA, and other tumor-derived biomarkers, indicating the presence of cancer and predicting its origin. Moreover, MCED assays concurrently detect multiple cancers without recommended screening protocols, potentially revolutionizing cancer screening and management. Large trials have reported promising results, achieving 50-95% sensitivity and 89-99% specificity for multiple cancer types. However, challenges, regarding improving accuracy, addressing ethical issues (e.g., psychosocial impact assessment), and integrating MCED into healthcare systems, must be addressed to achieve widespread adoption. Furthermore, prospective multi-institutional studies are crucial for demonstrating the clinical benefits in diverse populations. This review provides an overview of the principles, development status, and clinical significance of MCED tests, and discusses their potential and challenges.

Increasing miR-1260b predicts the risk of gastric cancer in atrophic gastritis patients and regulates cell growth and metastasis of gastric cancer

BACKGROUND

Atrophic gastritis is of high risk of progressing to gastric cancer. Screening early gastric cancer and predicting the risk of atrophic gastritis developing into gastric cancer could improve the prognosis of gastric cancer.

OBJECTIVE

This study evaluated the significance of miR-1260b in early gastric cancer and in the progression of atrophic gastritis to gastric cancer aiming to explore a reliable biomarker.

MATERIALS AND METHODS

The study enrolled 78 early gastric cancer patients and 77 atrophic gastritis patients. The expression of miR-1260b was detected in serum and tissue samples by PCR. The risk of atrophic gastritis patients progressing to gastric cancer was assessed and correlated with miR-1260b levels. The potential of miR-1260b in distinguishing early gastric cancer was evaluated by ROC. In vitro, gastric cancer cells were infected with Helicobacter pylori, and the regulatory effect of miR-1260b on cell growth and metastasis was evaluated by CCK8 and Transwell assay.

RESULTS

Significant upregulation of miR-1260b was observed in early gastric cancer patients relative to atrophic gastritis patients, which distinguishes early gastric cancer patients and showed a positive correlation with the risk of atrophic gastritis patients developing gastric cancer. Early gastric cancer patients with positive H. pylori infection showed a higher miR-1260b level, and increasing miR-1260b was also observed in H. pylori-infected gastric cancer cells. H. pylori promoted cell growth and metastasis of gastric cancer while silencing miR-1260b could alleviate these effects. miR-1260b negatively regulated ZNF302, and the knockdown of ZNF302 reversed the protective effect of miR-1260 knockdown on gastric cancer cells.

CONCLUSION

Increasing miR-1260b can assist diagnose early gastric cancer and predict the risk of gastric cancer in atrophic gastritis patients. Silencing miR-1260b could alleviate the promotion of gastric cancer induced by H. pylori via negatively modulating ZNF302.

International Validation of a Novel PEACE Scale to Improve the Quality of Upper Gastrointestinal Mucosal Inspection During Endoscopy

INTRODUCTION

The performance of a high quality esophagogastroduodenoscopy (EGD) is dependent on the mucosal cleanliness. Recently, the Polprep: Effective Assessment of Cleanliness in EGD (PEACE) scale was created to assess the degree of mucosal cleanliness during EGD. The aim of this study was to validate this scoring system in a cohort of international endoscopists.

METHODS

In total, 39 EGD videos, with different degrees of mucosal cleanliness were retrieved from a previously conducted prospective trial. All experts rated the cleanliness of the mucosa on each video using the PEACE scale. To evaluate agreement of all scores (0-3), intraclass correlation coefficient 2.1 was used. The agreement on adequate (scores 2 and 3) and inadequate (scores 0 and 1) cleanliness was assessed using kappa values.

RESULTS

Videos evaluating esophagus, stomach, and duodenum cleanliness were reviewed by 16 endoscopists. The PEACE scores demonstrated good agreement (intraclass correlation coefficient 0.82, 95% CI 0.75-0.89), especially for esophagus (0.84; 95% CI 0.71-0.95) and stomach (0.81; 95% CI 0.69-0.91), while agreement was moderate for the duodenum (0.69; 95% CI 0.51-0.87). The agreement was similar between Eastern (0.86; 95% CI 0.79-0.92) and Western experts (0.80; 95% CI 0.72-0.88). Similarly, agreement regarding adequate cleanliness was comparable between Eastern (0.70; 95% CI 0.55-0.85) and Western (0.74; 95% CI 0.64-0.84) endoscopists being overall 0.75 (95% CI 0.65-0.85).

DISCUSSION

The PEACE scoring system is a simple and reliable scale to assess the cleanliness during EGD. The score is now validated among international experts with high concordance, justifying its use in clinical practice.

The endoscopic model for gastric carcinogenesis and Helicobacter pylori infection: A potential visual mind-map during gastroscopy examination

Helicobacter pylori (Hp) is the main trigger of chronic gastric atrophy and the main leading cause of gastric cancer. Hp infects the normal gastric mucosa and can lead to chronic inflammation, glandular atrophy, intestinal metaplasia, dysplasia and finally adenocarcinoma. Chronic inflammation and gastric atrophy associated with Hp infection appear initially in the distal part of the stomach (the antrum) before progressing to the proximal part (the corpus-fundus). In recent years, endoscopic developments have allowed for the characterization of various gastric conditions including the normal mucosa (pyloric/fundic gland pattern and regular arrangement of collecting venules), Hp-related gastritis (Kyoto classification), glandular atrophy (Kimura-Takemoto classification), intestinal metaplasia (Endoscopic Grading of Gastric Intestinal Metaplasia), and dysplasia/adenocarcinoma (Vessel plus Surface classification). Despite being independent classifications, all these scales can be integrated into a single model: the endoscopic model for gastric carcinogenesis. This model would assist endoscopists in comprehending the process of gastric carcinogenesis and conducting a systematic examination during gastroscopy. Having this model in mind would enable endoscopists to promptly recognize the implications of Hp infection and the potential patient's risk of developing gastric cancer.

Establishment and validation of a nomogram model for early diagnosis of gastric cancer: a large-scale cohort study

Purpose

Identifying high-risk populations and diagnosing gastric cancer (GC) early remains challenging. This study aimed to establish and verify a nomogram model for the early diagnosis of GC based on conventional laboratory indicators.

Methods

We performed a retrospective analysis of the clinical data of 2,770 individuals with first diagnosis of GC and 1,513 patients with benign gastric disease from January 2018 to December 2022. The cases were divided into the training set and validation set randomly, with a ratio of 7:3. Variable screening was performed by least absolute shrinkage and selection operator (LASSO) and logistic regression analysis. A nomogram was constructed in the training set to assist in the early diagnosis of GC.

Results

There were 4283 patients included in the study, with 2998 patients assigned in the training set and 1285 patients in the validation set. Through LASSO regression and logistic regression analysis, independent variables associated with GC were identified, including CEA, CA199, LYM, HGB, MCH, MCHC, PLT, ALB, TG, HDL, and AFR. The nomogram model was constructed using the above 11 independent indicators. The AUC was 0.803 for the training set and 0.797 for the validation set, indicating that the model showed high clinical diagnostic efficacy. The calibration curves and decision curve analysis (DCA) of the nomogram presented good calibration and clinical application ability.

Conclusion

Based on the analysis of large sample size, we constructed a nomogram model with 11 routine laboratory indicators, which showed good discrimination ability and calibration.

Effect of endoscopic submucosal dissection on gastrointestinal function and nutritional status in patients with early gastric cancer

BACKGROUND

Gastric cancer (GC) endangers the survival and prognosis of patients worldwide. Improving the prognosis of patients with early GC (EGC) is crucial to prolong their survival time.

AIM

To analyze the effects of endoscopic submucosal dissection (ESD) on gastrointestinal function and nutritional status in patients with EGC.

METHODS

Eighty patients with EGC between January 2021 and January 2024 were divided according to different surgical protocol into following two groups: 42 patients who underwent ESD in the ESD group and 38 patients treated with endoscopic mucosal resection (EMR) in the EMR group. Two groups were compared in the operative indices, lesion resection rate, postoperative recovery of gastrointestinal function, nutritional status, and incidence of surgical complications.

RESULTS

The overall resection rate of the lesion in the ESD group was higher. The operative bleeding volume and operation time were higher and gastrointestinal ventilation time was shorter in the ESD group than those in the EMR group (P< 0.05). The nutritional statuses of the two groups decreased after operation; however, the levels of albumin, prealbumin, hemoglobin, and transferrin were higher in the ESD group than in the EMR group (P < 0.05). The post-operative pepsinogen (PG) I level in the ESD group was higher than that in the EMR group, and the PG II level was lower than that in the EMR group (P < 0.05). The incidence of postoperative complications was compared between the two groups (P > 0.05).

CONCLUSION

ESD can promote the immediate recovery of patient's postoperative gastrointestinal function, improve their nutritional level, and signifies its application in patients with EGC.

Knowledge and practice of early gastric cancer screening among adults aged ≥ 45 years in China: a cross-sectional study

BACKGROUND

As the incidence of gastric cancer increases sharply in adults aged over 45 years, a better understanding of gastric cancer screening knowledge and practice is crucial to promote cancer-screening services. This study aimed to evaluate knowledge of early gastric cancer screening, adherence to screening, and perceived barriers hindering screening practices among adults aged ≥ 45 years in China.

METHODS

A multi-center, face-to-face, cross-sectional study was conducted in community sites in Shijiazhuang, China, through the distribution of structured questionnaires from August to September, 2022.

RESULTS

Of the 1053 respondents, only 13.4% demonstrated a good understanding of early gastric cancer screening. While 64.0% knew that gastroscopy is the gold standard for screening ("how to screen"), only 19.9% were aware of the recommended starting age ("when to screen"). Moreover, less than half could correctly identify high-risk groups ("whom to screen"), with awareness ranging from 20.5% for those infected with H. pylori to 47.8% for those with gastric diseases. Independent factors related to higher screening knowledge included female sex (OR = 1.55, 95% CI = 1.01-2.38), higher education level (OR = 4.03, 95% CI = 2.68-6.06), being with a personal/family experience of gastric diseases (OR = 1.68, 95% CI = 1.12-2.52). In addition, only 23.4% of respondents underwent GC screening. The dominant barrier to early screening was the "absence of symptoms or signs", followed by "fearing procedural discomfort".

CONCLUSION

This study highlights significant gaps in early gastric cancer screening knowledge and participation among middle-aged and elderly individuals in China. Addressing these gaps through culturally tailored health education campaigns is a critical strategy for increasing public awareness and participation.

Computer analysis of abnormal proliferation and transformation cells in gastric mucosa and its clinical significance

To investigate the image computer analysis of abnormally proliferating transformed cells of gastric mucosa and its clinical significance. The pathological pictures of gastric adenomatous polyp cells, abnormally proliferating altered cells, and tubular adenocarcinoma cells in the stomach mucosa were assessed by image computer method on a total of 96 gastroscopic biopsy and ESD resection specimens. The data of cytoplasmic area, nuclear area, nuclear-cytoplasmic ratio, nuclear factor and N-heterotypic index of gastric adenomatous polyps, abnormal proliferative transformation and gastric intramucosal tubular adenocarcinoma were collected, and the mean, standard deviation and variance were calculated respectively. Standard Error, Maximum, Minimum Parameters and Statistical Structure. There were substantial discrepancies between gastric mucosal gastric adenomatous polyp cells and gastric mucosal abnormally proliferating transformed cells, according to the five data in the abnormal cells in the stomach mucosal proliferation area (p < 0.01); There was no significant difference between cells (p > 0.05). Computer analysis of cell images can provide quantitative values for the pathological diagnosis of gastric adenomatous polyp cells, abnormally proliferating transformed cells and tubular adenocarcinoma cells in the gastric mucosa, especially the degree of atypical proliferation. The monitoring of abnormally proliferated and transformed cells in gastric mucosa is of great significance for clinicians to accurately treat and track cell transformation, and to control the occurrence and development of gastric adenocarcinoma.

Molecular evolution of intestinal-type early gastric cancer according to Correa cascade

Early screening is crucial for the prevention of intestinal-type gastric cancer. The objective of the current study was to ascertain molecular evolution of intestinal-type gastric cancer according to the Correa cascade for the precise gastric cancer screening. We collected sequential lesions of the Correa cascade in the formalin-fixed and paraffin-embedded endoscopic submucosal dissection-resected specimens from 14 Chinese patients by microdissection, and subsequently determined the profiles of somatic aberrations during gastric carcinogenesis using the whole exome sequencing, identifying multiple variants at different Correa stages. The results showed that TP53, PCLO, and PRKDC were the most frequently mutated genes in the early gastric cancer (EGC). A high frequency of TP53 alterations was found in low-grade intraepithelial neoplasia (LGIN), which further increased in high-grade intraepithelial neoplasia (HGIN) and EGC. Intestinal metaplasia (IM) had no significant correlation with EGC in terms of mutational spectra, whereas both LGIN and HGIN showed higher genomic similarities to EGC, compared with IM. Based on Jaccard similarity coefficients, three evolutionary models were further constructed, and most patients showed linear progression from LGIN to HGIN, ultimately resulting in EGC. The ECM-receptor interaction pathway was revealed to be involved in the linear evolution. Additionally, the retrospective validation study of 39 patients diagnosed with LGIN indicated that PRKDC mutations, in addition to TP53 mutations, may drive LGIN progression to HGIN or EGC. In conclusion, the current study unveils the genomic evolution across the Correa cascade of intestinal-type gastric cancer, elucidates the underlying molecular mechanisms of gastric carcinogenesis, and provides some evidence for potential personalized gastric cancer surveillance.

The road to a world-unified approach to the management of patients with gastric intestinal metaplasia: a review of current guidelines

OBJECTIVE

During the last decade, the management of gastric intestinal metaplasia (GIM) has been addressed by several distinct international evidence-based guidelines. In this review, we aimed to synthesise these guidelines and provide clinicians with a global perspective of the current recommendations for managing patients with GIM, as well as highlight evidence gaps that need to be addressed with future research.

DESIGN

We conducted a systematic review of the literature for guidelines and consensus statements published between January 2010 and February 2023 that address the diagnosis and management of GIM.

RESULTS

From 426 manuscripts identified, 16 guidelines were assessed. There was consistency across guidelines regarding the purpose of endoscopic surveillance of GIM, which is to identify prevalent neoplastic lesions and stage gastric preneoplastic conditions. The guidelines also agreed that only patients with high-risk GIM phenotypes (eg, corpus-extended GIM, OLGIM stages III/IV, incomplete GIM subtype), persistent refractory Helicobacter pylori infection or first-degree family history of gastric cancer should undergo regular-interval endoscopic surveillance. In contrast, low-risk phenotypes, which comprise most patients with GIM, do not require surveillance. Not all guidelines are aligned on histological staging systems. If surveillance is indicated, most guidelines recommend a 3-year interval, but there is some variability. All guidelines recommend H. pylori eradication as the only non-endoscopic intervention for gastric cancer prevention, while some offer additional recommendations regarding lifestyle modifications. While most guidelines allude to the importance of high-quality endoscopy for endoscopic surveillance, few detail important metrics apart from stating that a systematic gastric biopsy protocol should be followed. Notably, most guidelines comment on the role of endoscopy for gastric cancer screening and detection of gastric precancerous conditions, but with high heterogeneity, limited guidance regarding implementation, and lack of robust evidence.

CONCLUSION

Despite heterogeneous populations and practices, international guidelines are generally aligned on the importance of GIM as a precancerous condition and the need for a risk-stratified approach to endoscopic surveillance, as well as H. pylori eradication when present. There is room for harmonisation of guidelines regarding (1) which populations merit index endoscopic screening for gastric cancer and GIM detection/staging; (2) objective metrics for high-quality endoscopy; (3) consensus on the need for histological staging and (4) non-endoscopic interventions for gastric cancer prevention apart from H. pylori eradication alone. Robust studies, ideally in the form of randomised trials, are needed to bridge the ample evidence gaps that exist.

A deep learning model based on magnifying endoscopy with narrow-band imaging to evaluate intestinal metaplasia grading and OLGIM staging: A multicenter study

BACKGROUND AND PURPOSE

Patients with stage III or IV of operative link for gastric intestinal metaplasia assessment (OLGIM) are at a higher risk of gastric cancer (GC). We aimed to construct a deep learning (DL) model based on magnifying endoscopy with narrow-band imaging (ME-NBI) to evaluate OLGIM staging.

METHODS

This study included 4473 ME-NBI images obtained from 803 patients at three endoscopy centres. The endoscopic expert marked intestinal metaplasia (IM) regions on endoscopic images of the target biopsy sites. Faster Region-Convolutional Neural Network model was used to grade IM lesions and predict OLGIM staging.

RESULTS

The diagnostic performance of the model for IM grading in internal and external validation sets, as measured by the area under the curve (AUC), was 0.872 and 0.803, respectively. The accuracy of this model in predicting the high-risk stage of OLGIM was 84.0%, which was not statistically different from that of three junior (71.3%, p = 0.148) and three senior endoscopists (75.3%, p = 0.317) specially trained in endoscopic images corresponding to pathological IM grade, but higher than that of three untrained junior endoscopists (64.0%, p = 0.023).

CONCLUSION

This DL model can assist endoscopists in predicting OLGIM staging using ME-NBI without biopsy, thereby facilitating screening high-risk patients for GC.

Novel classification of gastric polyps: The good, the bad and the ugly

Gastric polyps (GPs) are increasingly common. On upper endoscopy, they should be examined with white light and occasionally chromoendoscopy, and their morphology classified according to the Paris classification. Most GPs have a typical endoscopic appearance and can be associated with diseases like Helicobacter pylori infection. Histological examination is necessary for an accurate diagnosis. While most polyps are non-neoplastic and do not require treatment, some carry a risk of malignancy or are already malignant. Therefore, understanding the diagnosis, classification, and management of GPs is crucial for patient prognostication. Our new classification categorizes GPs into "good", "bad", and "ugly" based on their likelihood of becoming malignant. We aim to provide descriptions of the endoscopic appearance, pathology, treatment, and follow-up for different GPs, as well as clinical management flowcharts.

Novel classification of gastric polyps: The good, the bad and the ugly

Gastric polyps (GPs) are increasingly common. On upper endoscopy, they should be examined with white light and occasionally chromoendoscopy, and their morphology classified according to the Paris classification. Most GPs have a typical endoscopic appearance and can be associated with diseases like Helicobacter pylori infection. Histological examination is necessary for an accurate diagnosis. While most polyps are non-neoplastic and do not require treatment, some carry a risk of malignancy or are already malignant. Therefore, understanding the diagnosis, classification, and management of GPs is crucial for patient prognostication. Our new classification categorizes GPs into "good", "bad", and "ugly" based on their likelihood of becoming malignant. We aim to provide descriptions of the endoscopic appearance, pathology, treatment, and follow-up for different GPs, as well as clinical management flowcharts.

Effect of texture and color enhancement imaging on the visibility of gastric tumors

Texture and color enhancement imaging (TXI) may improve the visibility of gastric tumors and allow their early detection. However, few reports have examined the utility of TXI. Between June 2021 and October 2022, 56 gastric tumors in 51 patients undergoing endoscopic submucosal dissection at Fukuchiyama City Hospital were evaluated preoperatively using conventional white light imaging (WLI), narrow-band imaging (NBI), and TXI modes 1 and 2. The color differences of the tumors and surrounding mucosae were evaluated using the CIE 1976 L*a*b color space, Additionally, the visibility scores were scaled. Of the 56 gastric tumors, 45 were early gastric cancers, and 11 were adenomas. Overall, the color difference in TXI mode 1 was considerably higher compared to WLI (16.36 ± 7.05 vs. 10.84 ± 4.05; p < 0.01). Moreover, the color difference in early gastric cancers was considerably higher in TXI mode 1 compared to WLI, whereas no significant difference was found in adenomas. The visibility score in TXI mode 1 was the highest, and it was significantly higher compared to WLI. Regarding adenomas, the visibility score in TXI mode 1 was also significantly higher compared to that in WLI. TXI may provide improved gastric tumor visibility.

Challenges and advancing strategies of endoscopic submucosal dissection for early gastric cancer: The puzzle of eCura C1

In this editorial, we explore the challenges of managing noncurative resections in early gastric cancer after endoscopic submucosal dissection (ESD), starting from the consideration recently made by Zhu et al. Specifically, we evaluate the management of eCura C1 lesions, where decisions regarding further interventions are pivotal yet contentious. Collaboration among endoscopists, surgeons, and pathologists is underscored to refine risk assessment and personalize therapeutic management. Recent advancements in ESD techniques and interdisciplinary collaboration offer opportunities for outcome optimization in managing eCura C1 lesions. Moreover, despite needing further clinical validation, molecular biomarkers have emerged as promising tools for enhancing prognostication. This manuscript highlights the ongoing research attempts to define treatment paradigms effectively and evaluates the potential of emerging options, ultimately aiming to improve patient care and outcomes in this complex clinical scenario.

Characteristic endoscopic findings in Helicobacter pylori diagnosis in clinical practice

INTRODUCTION

Helicobacter pylori is a major risk factor for gastric cancer. In addition to eradication therapy, early-phase detection of gastric cancer through screening programs using high-vision endoscopy is also widely known to reduce mortality. Although European and US guidelines recommend evaluation of atrophy and intestinal metaplasia by high-vision endoscopy and pathological findings, the guideline used in Japan - the Kyoto classification of gastritis - is based on endoscopic evaluation, and recommends the grading of risk factors. This system requires classification into three endoscopic groups: H. pylori-negative, previous H. pylori infection (inactive gastritis), and current H. pylori infection (active gastritis). Major endoscopic findings in active gastritis are diffuse redness, enlarged folds, nodularity, mucosal swelling, and sticky mucus, while those in H pylori-related gastritis - irrespective of active or inactive status - are atrophy, intestinal metaplasia, and xanthoma.

AREAS COVERED

This review describes the endoscopic characteristics of current H. pylori infection, and how characteristic endoscopic findings should be evaluated.

EXPERT OPINION

Although the correct evaluation of endoscopic findings related to H. pylori remains necessary, if findings of possible infection are observed, it is important to diagnose infection by detection methods with high sensitivity and specificity, including the stool antigen test and urea breath test.

Development and validation of a nomogram for predicting lymph node metastasis in early gastric cancer

BACKGROUND

Lymph node metastasis (LNM) significantly impacts the treatment and prognosis of early gastric cancer (EGC). Consequently, the precise prediction of LNM risk in EGC patients is essential to guide the selection of appropriate surgical approaches in clinical settings.

AIM

To develop a novel nomogram risk model for predicting LNM in EGC patients, utilizing preoperative clinicopathological data.

METHODS

Univariate and multivariate logistic regression analyses were performed to examine the correlation between clinicopathological factors and LNM in EGC patients. Additionally, univariate Kaplan-Meier and multivariate Cox regression analyses were used to assess the influence of clinical factors on EGC prognosis. A predictive model in the form of a nomogram was developed, and its discrimination ability and calibration were also assessed.

RESULTS

The incidence of LNM in the study cohort was 19.6%. Multivariate logistic regression identified tumor size, location, degree of differentiation, and pathological type as independent risk factors for LNM in EGC patients. Both tumor pathological type and LNM independently affected the prognosis of EGC. The model's performance was reflected by an area under the curve of 0.750 [95% confidence interval (CI): 0.701-0.789] for the training group and 0.763 (95%CI: 0.687-0.838) for the validation group.

CONCLUSION

A clinical prediction model was constructed (using tumor size, low differentiation, location in the middle-lower region, and signet ring cell carcinoma), with its score being a significant prognosis indicator.

The prospective validation of a scoring system to assess mucosal cleanliness during EGD

BACKGROUND AND AIMS

Cleanliness of the mucosa of the upper GI (UGI) tract is critical for performing a high-quality EGD. The aim of this study was to validate a recently developed UGI cleanliness scale (the Polprep: Effective Assessment of Cleanliness in Esophagogastroduodenoscopy [PEACE] system) in the detection of clinically significant lesions (CSLs) in the UGI tract.

METHODS

Patients who underwent a complete diagnostic EGD were prospectively enrolled from August 2021 to October 2022. The UGI tract (esophagus, stomach, and duodenum) cleanliness was scored from 0 to 3 for each segment. The primary outcomes were the detection of CSLs and PEACE scores.

RESULTS

Of 995 patients enrolled from 5 centers, adequate cleanliness (AQ; all scores ≥2) was found in 929 patients. In multivariate regression analysis, AQ was associated with the number of diagnosed CSLs (odds ratio [OR], 1.78; 95% confidence interval [CI], 1.06-3.01; P = .03). Other factors related to CSL detection were duration of EGD (OR, 1.29, 95% CI, 1.23-1.35, P < .001), male sex (OR, 1.33, 95% CI, 1.04-1.71; P = .025), and EGD indication (dyspepsia, alarm symptoms, gastritis surveillance, other indications vs GERD) (OR, 0.43 [95% CI, 0.31-0.6, P < .001], OR, 0.44 [95% CI, 0.28-0.67, P < .001], OR, 0.44 [95% CI, 0.25-0.76; P = .004], and OR, 0.44 [95% CI, 0.31-0.62; P < .001], respectively). Twenty-seven patients were diagnosed with UGI neoplasia, all in patients with adequate cleanliness of the UGI tract.

CONCLUSIONS

Adequate cleanliness of the UGI tract as assessed with the PEACE system was associated with a significantly higher detection rate of CSLs during EGD. The relationship of this scale with UGI neoplasia detection warrants further investigation.

The effect of incorporating domain knowledge with deep learning in identifying benign and malignant gastric whitish lesions: A retrospective study

BACKGROUND AND AIM

Early whitish gastric neoplasms can be easily misdiagnosed; differential diagnosis of gastric whitish lesions remains a challenge. We aim to build a deep learning (DL) model to diagnose whitish gastric neoplasms and explore the effect of adding domain knowledge in model construction.

METHODS

We collected 4558 images from two institutions to train and test models. We first developed two sole DL models (1 and 2) using supervised and semi-supervised algorithms. Then we selected diagnosis-related features through literature research and developed feature-extraction models to determine features including boundary, surface, roundness, depression, and location. Then predictions of the five feature-extraction models and sole DL model were combined and inputted into seven machine-learning (ML) based fitting-diagnosis models. The optimal model was selected as ENDOANGEL-WD (whitish-diagnosis) and compared with endoscopists.

RESULTS

Sole DL 2 had higher sensitivity (83.12% vs 68.67%, Bonferroni adjusted P = 0.024) than sole DL 1. Adding domain knowledge, the decision tree performed best among the seven ML models, achieving higher specificity than DL 1 (84.38% vs 72.27%, Bonferroni adjusted P < 0.05) and higher accuracy than DL 2 (80.47%, Bonferroni adjusted P < 0.001) and was selected as ENDOANGEL-WD. ENDOANGEL-WD showed better accuracy compared with 10 endoscopists (75.70%, P < 0.001).

CONCLUSIONS

We developed a novel system ENDOANGEL-WD combining domain knowledge and traditional DL to detect gastric whitish neoplasms. Adding domain knowledge improved the performance of traditional DL, which provided a novel solution for establishing diagnostic models for other rare diseases potentially.

Risk factors of missed early gastric cancer in endoscopic resected population: a retrospective, case-control study

BACKGROUND

Missed early gastric cancer (MEGC) is prevalent during esophagogastroduodenoscopy (EGD), which is the first-line recommended strategy for detecting early gastric cancer (EGC). Hence, we explored the risk factors for MEGC and different types of MEGC, based on the endoscopic resected population.

METHODS

This retrospective, case-control study was conducted at Nanjing Drum Tower Hospital (NJDTH). We included patients who were diagnosed with EGC during screening EGD, underwent endoscopic resection, and were confirmed by postoperative pathology at the NJDTH from January 2014 to December 2021, and classified them into different types according to the different root causes of misses. Univariable, multivariable, subgroup and propensity score analyses were used to explore the risk factors for MEGC and different types of MEGC.

RESULTS

A total of 447 patients, comprising 345 with initially detected early gastric cancer (IDEGC) and 102 with MEGC, were included in this study. Larger size (≥ 1 cm) (OR 0.45, 95% CI 0.27-0.74, P = 0.002) and invasion depth of submucosa (OR 0.26, 95% CI 0.10-0.69, P = 0.007) were negatively associated with MEGC. Use of sedation (OR 0.32, 95% CI 0.20-0.52, P < 0.001) and longer observation time (OR 0.60, 95% CI 0.37-0.96, P = 0.034) exhibited protective effect on MEGC.

CONCLUSIONS

Smaller and more superficial EGC lesions are more susceptible to misdiagnosis. The use of sedation and prolonged observation time during EGD could help reduce the occurrence of MEGC.

Surveillance esophagogastroduodenoscopy using linked color imaging and narrow-band imaging: A multicenter randomized controlled trial

BACKGROUND AND AIM

There has been no report on a direct comparison between linked color imaging (LCI) and second-generation narrow-band imaging (2G-NBI) for surveillance of epithelial neoplasms in the upper gastrointestinal tract (UGIT). The aim of this study was to verify the superiority of LCI to 2G-NBI for surveillance esophagogastroduodenoscopy and to clarify how each endoscopic system should be used.

METHODS

This study was conducted as an open-label, two-arm-parallel (1:1), multicenter, randomized controlled trial at six institutions. Patients aged 20-85 years with a treatment history of epithelial neoplasms in the UGIT were recruited. Patients were assigned to a 2G-NBI group and an LCI group, and esophagogastroduodenoscopy was performed with primary image-enhanced endoscopy followed by white light imaging (WLI). The primary endpoint was the detection rate of one or more epithelial neoplasms in the primary image-enhanced endoscopy. A WLI-detected epithelial neoplasm was defined as a lesion that was detected in only WLI.

RESULTS

A total of 372 patients in the 2G-NBI group and 378 patients in the LCI group were analyzed. Epithelial neoplasms in the UGIT were detected by 2G-NBI in 18 patients (4.6%) and were detected by LCI in 20 patients (5.3%) (P = 0.87). WLI-detected epithelial neoplasms were in 11 patients in the 2G-NBI group (3.0%) and in 1 patient in the LCI group (0.27%) (P = 0.003).

CONCLUSIONS

Linked color imaging did not show superiority to 2G-NBI for the detection of epithelial neoplasms. Also, the percentage of WLI-detected epithelial neoplasms in primary NBI was significantly higher than that in primary LCI.

E-learning system to improve the endoscopic diagnosis of early gastric cancer

We developed three e-learning systems for endoscopists to acquire the necessary skills to improve the diagnosis of early gastric cancer (EGC) and demonstrated their usefulness using randomized controlled trials. The subjects of the three e-learning systems were "detec-tion", "characterization", and "preoperative assessment". The contents of each e-learning system included "technique", "knowledge", and "obtaining experience". All e-learning systems proved useful for endoscopists to learn how to diagnose EGC. Lecture videos describing "the technique" and "the knowledge" can be beneficial. In addition, repeating 100 self-study cases allows learners to gain "experience" and improve their diagnostic skills further. Web-based e-learning systems have more advantages than other teaching methods because the number of participants is unlimited. Histopathological diagnosis is the gold standard for the diagnosis of gastric cancer. Therefore, we developed a comprehensive diagnostic algorithm to standardize the histopathological diagnosis of gastric cancer. Once we have successfully shown that this algorithm is helpful for the accurate histopathological diagnosis of cancer, we will complete a series of e-learning systems designed to assess EGC accurately.

Chinese national clinical practice guidelines on the prevention, diagnosis, and treatment of early gastric cancer

BACKGROUND

Gastric cancer is one of the most common malignant tumors in the digestive system in China. Few comprehensive practice guidelines for early gastric cancer in China are currently available. Therefore, we created the Chinese national clinical practice guideline for the prevention, diagnosis, and treatment of early gastric cancer.

METHODS

This clinical practice guideline (CPG) was developed in accordance with the World Health Organization's recommended process and with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) in assessing evidence quality. We used the Evidence to Decision framework to formulate clinical recommendations to minimize bias and increase transparency in the CPG development process. We used the Reporting Items for practice Guidelines in HealThcare (RIGHT) statement and the Appraisal of Guidelines for Research and Evaluation II (AGREE II) as reporting and conduct guidelines to ensure completeness and transparency of the CPG.

RESULTS

This CPG contains 40 recommendations regarding the prevention, screening, diagnosis, treatment, and follow-up of early gastric cancer based on available clinical studies and guidelines. We provide recommendations for the timing of Helicobacter pylori eradication, screening populations for early gastric cancer, indications for endoscopic resection and surgical gastrectomy, follow-up interval after treatment, and other recommendations.

CONCLUSIONS

This CPG can lead to optimum care for patients and populations by providing up-to-date medical information. We intend this CPG for widespread adoption to increase the standard of prevention, screening, diagnosis, treatment, and follow-up of early gastric cancer; thereby, contributing to improving national health care and patient quality of life.

Higher detectability of gastric cancer after Helicobacter pylori eradication in texture and color enhancement imaging mode 2 in screening endoscopy

Objectives

The utility of texture and color enhancement imaging (TXI) in detecting gastric cancer (GC) has been investigated. However, few reports exist on TXI mode2 (TXI2) used for detecting GC; this study investigated the efficacy of TXI2 in GC detection during screening endoscopy.

Methods

This study enrolled 13,440 participants with confirmed Helicobacter pylori (H. pylori) infection status who underwent screening endoscopy by 20 endoscopists in our health screening center. The participants were divided into two groups: one group was observed using white light imaging (WLI) only by 17 endoscopists (WLI group, 10,745 participants), and the other group was observed using TXI2 only by the other three endoscopists (TXI2 group, 2695 participants). We analyzed the detection rate and the characteristics of GC. In addition, considering the bias due to the diagnostic ability, we analyzed the subset of the WLI group where the participants were evaluated by the top three endoscopists based on their GC detection rate (Expert-WLI group, 2792 participants) for comparison with the TXI2 group.

Results

Fifty patients were diagnosed with GC. The GC detection rates were 0.68% and 0.71% in the Expert-WLI and TXI2 groups, respectively. In patients who underwent screening endoscopy after H. pylori eradication, the detection rates of differentiated GC, L-region lesions, and surface depressed-type lesions were 0.52%, 0%, and 0.43% in the Expert-WLI group and 1.36%, 0.78%, and 1.36% in the TXI2 group, respectively.

Conclusions

In screening endoscopy, the detectability of differentiated GC and L-region lesions and surface depressed-type lesions after H. pylori eradication was higher in TXI2.

Hypoxia-based critical gene biomarkers as prognostic reporters for gastric adenocarcinoma

BACKGROUND

Gastric cancer is the most common malignant tumour of the digestive system, yet there is a lack of reported prognostic biomarkers for STAD patients.

METHODS

Transcriptomic expression data of STAD from GEO database, single cell sequencing data from OMIX gastric cancer database. Conservative molecular typing of gastric cancer was constructed using non-negative matrix factorization (NMF). The abundance of 28 immune cells in the tumour samples was assessed using ssGSEA. The R package "oncoPredict" was used to predict chemotherapy response. TIDE website for immunotherapy response prediction. Finally, single cell analysis was performed to clarify the specific type annotation of STAD cells and to analysis their spatial expression.

RESULTS

Hypoxia-score demonstrated excellent prognostic discrimination in TCGA gastric cancer samples. Among multiple deconvolution-based algorithms for immune infiltration, Hypoxia-score presented a general immunosuppressive efficacy across multiple datasets, as evidenced by a broad negative correlation with immune cell infiltration. By the likelihood that each group may have specific drug sensitivity to multiple chemotherapeutic and targeted agents. Results showed that high-risk scoring patients were more sensitive to Staurosporine, Sabutoclax, and AZD8055, while low-risk patients were more sensitive to Bortezomib, Dactinomycin, Docetaxel, Daporinad, Sepantronium, and bromide. In the immunotherapy cohort, the Hypoxia-score presented the ability to discriminate for immunotherapy efficacy. The distribution of Hypoxia-score in single-cell descending space was calculated using AddModuleScore and was found to be distributed across the various cell types annotated in the single-cell analysis. It is suggested that various cells in the tumour microenvironment are involved in hypoxia gene set processes to varying degrees.

CONCLUSION

The Hypoxia-score proves to be a valuable tool for assessing the prognosis of gastric cancer patients and guiding drug treatments, providing significant guidance for clinical diagnosis and treatment in the context of gastric cancer.

miR-1304 targets KLK11 to regulate gastric cancer cell proliferation through the mTOR signaling pathway

OBJECTIVE

Gastric cancer (GC) is prevalent worldwide but has a dismal prognosis, and its molecular and pathogenic pathways remain unknown. Kallikrein 11 (KLK11) has a reduced expression in GC and may be a promising biomarker.

METHOD

Herein, the function of KLK11 in GC and its regulatory mechanism was studied. Gene sequencing and quantitative reverse transcription-polymerase chain reaction were used to determine the expression of KLK11 in GC and precancerous lesions. Cell function tests and flow cytometry were conducted to determine the proliferative capacity and cell cycle of GC cells, respectively. A luciferase reporter test confirmed the interaction between RNA molecules. The mTOR/4E-BP1 signaling pathway was analyzed using western blotting.

RESULT

KLK11 has a suppressed expression in GC samples. KLK11 decreased the proliferative capacity of GC cells, by inhibiting the degree of mTOR/4E-BP1 phosphorylation. In contrast, miR-1304 increased GC cell proliferation by inhibiting KLK11. Moreover, KLK11 was able to limit in vivo GC cell proliferation.

CONCLUSION

These findings reveal a promising strategy to prevent and treat GC by targeting the KLK11-mediated mTOR/4E-BP1 cascade.

Curative criteria for endoscopic treatment of gastric cancer

Endoscopic treatment, particularly endoscopic submucosal dissection, has become the primary treatment for early gastric cancer. A comprehensive optical assessment, including white light endoscopy, image-enhanced endoscopy, and magnification, are the cornerstones for clinical staging and determining the resectability of lesions. This paper discusses factors that influence the indication for endoscopic resection and the likelihood of achieving a curative resection. Our review stresses the critical need for interpreting the histopathological report in accordance with clinical guidelines and the imperative of tailoring decisions based on the patients' and lesions' characteristics and preferences. Moreover, we offer guidance on managing complex scenarios, such as those involving non-curative resection. Finally, we identify future research avenues, including the role of artificial intelligence in estimating the depth of invasion and the urgent need to refine predictive scores for lymph node metastasis and metachronous lesions.

Precision endoscopy in the era of climate change and sustainability

Global warming caused by increased greenhouse gas (GHG) emissions has a direct impact on human health. Gastrointestinal (GI) endoscopy contributes significantly to GHG emissions due to energy consumption, reprocessing of endoscopes and accessories, production of equipment, safe disposal of biohazardous waste, and travel by patients. Moreover, GHGs are also generated in histopathology through tissue processing and the production of biopsy specimen bottles. The reduction in unnecessary surveillance endoscopies and biopsies is a practical approach to decrease GHG emissions without affecting disease outcomes. This narrative review explores the role of precision medicine in GI endoscopy, such as image-enhanced endoscopy and artificial intelligence, with a focus on decreasing unnecessary endoscopic procedures and biopsies in the surveillance and diagnosis of premalignant lesions in the esophagus, stomach, and colon. This review offers strategies to minimize unnecessary endoscopic procedures and biopsies, decrease GHG emissions, and maintain high-quality patient care, thereby contributing to sustainable healthcare practices.

Effect of Helicobacter pylori eradication evaluated using magnifying endoscopy with narrow-band imaging in mixed-type early gastric Cancer

BACKGROUND

The effect of Helicobacter pylori (H.pylori) eradication therapy on mixed-histological-type gastric cancer remains unclear. This study aimed to clarify the effect of H. pylori eradication therapy on mixed-histological-type early gastric cancer using endoscopic and histological findings.

METHODS

This single-center, retrospective study included patients with mixed-histological-type gastric cancer who underwent endoscopic submucosal dissection at the Cancer Institute Hospital. We compared detailed magnifying endoscopy with narrow-band imaging findings between eradicated and non-eradicated groups of patients with differentiated-type- and undifferentiated-type-predominant cancers. Subsequently, we performed histological evaluations of the non-cancerous epithelium covering differentiated-type components.

RESULTS

A total of 124 patients with mixed-type early gastric cancer were enrolled (eradicated group: 62 differentiated-type-predominant cancer patients and 8 undifferentiated-type-predominant cancer patients; non-eradication group: 40 differentiated-type-predominant cancer patients and 14 undifferentiated-type-predominant cancer patients). Regarding differentiated-type-predominant cancer, differentiated-type findings were detected in all patients in eradicated and non-eradicated groups. The difference in the detection rate of undifferentiated-type findings between both groups was not significant in differentiated-type-predominant cancer patients. In differentiated-type-predominant cancers, the percentage of non-cancerous epithelium covering differentiated-type components was higher in the eradicated group than in the non-eradicated group (median: 60% vs. 40%, p < 0.001).

CONCLUSIONS

Although the pathological findings of differentiated-type-predominant cancer were affected by H. pylori eradication, eradication did not affect the diagnosis of differentiated-type-predominant early gastric cancer using magnifying endoscopy with narrow-band imaging. ME-NBI is useful for the early detection of D-MIX EGCs and diagnosis of histological types during endoscopy, regardless of whether H. pylori eradication therapy has been administered.

Integrated environmental, lifestyle, and epigenetic risk prediction of primary gastric neoplasia using the longitudinally monitored cohorts

BACKGROUND

DNA methylation accumulates in non-malignant gastric mucosa after exposure to pathogens. To elucidate how environmental, methylation, and lifestyle factors interplay to influence primary gastric neoplasia (GN) risk, we analyzed longitudinally monitored cohorts in Japan and Singapore.

METHODS

Asymptomatic subjects who underwent a gastric mucosal biopsy on the health check-up were enrolled. We analyzed the association between clinical factors and GN development using Cox hazard models. We further conducted comprehensive methylation analysis on selected tissues, including (i) mucosae from subjects developing GN later, (ii) mucosae from subjects not developing GN later, and (iii) GN tissues and surrounding mucosae. We also use the methylation data of mucosa collected in Singapore. The association between methylation and GN risk, as well as lifestyle and methylation, were analyzed.

FINDINGS

Among 4234 subjects, GN was developed in 77 subjects. GN incidence was correlated with age, drinking, smoking, and Helicobacter pylori (HP) status. Accumulation of methylation in biopsied gastric mucosae was predictive of higher future GN risk and shorter duration to GN incidence. Whereas methylation levels were associated with HP positivity, lifestyle, and morphological alterations, DNA methylation remained an independent GN risk factor through multivariable analyses. Pro-carcinogenic epigenetic alterations initiated by HP exposure were amplified by unfavorable but modifiable lifestyle choices. Adding DNA methylation to the model with clinical factors improved the predictive ability for the GN risk.

INTERPRETATION

The integration of environmental, lifestyle, and epigenetic information can provide increased resolution in the stratification of primary GN risk.

FUNDING

The funds are listed in Acknowledgements section.

Comparison of clinical outcomes and prognosis between surgery and endoscopic submucosal dissection in patients with synchronous multifocal early gastric cancer

BACKGROUND

Synchronous multiple early gastric cancer (SMEGC) refers to the simultaneous occurrence of two or more malignant cancer lesions in the stomach. For patients with multiple early gastric carcinomas, the choice of appropriate treatment remains controversial. This study is dedicated to comparing the clinical outcomes and prognosis of patients with SMEGC who underwent endoscopic submucosal dissection (ESD) or gastrectomy.

METHODS

A total of 180 patients with more than one malignant cancer lesion in the stomach who had received gastrectomy or ESD between 2012 and 2021 were retrospectively evaluated to determine their clinical outcomes and prognosis. Univariate and multivariate logistic regression were utilized to identify risk factors for tumor recurrence.

RESULTS

Over the 57.5 months median follow-up period for the 140 enrolled cases, tumor recurrence occurred in 8 (12%) in the ESD group but only 1 (1%) in the surgery group. Relapse-free survival (RFS) was higher in the surgery group (p = 0.023) in all cases; however, there was no significant difference in Overall survival (OS, p = 0.772). Complications were significantly higher in the surgery group than in the ESD group, but fewer in the radical distal gastrectomy group. Multivariate regression analysis revealed that ESD(p = 0.034), the main lesion size > 2 cm(p = 0.019), and undifferentiated tumor(p = 0.022) were independent risk factors for tumor recurrence.

CONCLUSIONS

For the treatment of simultaneous multifocal early gastric cancer, ESD has a good short-term effect and higher quality of life. However, ESD has a higher risk of recurrence than surgery. And we found that the partial gastrectomy appears to be considered as adequate treatment for some SMEGC patients.

The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy

Recently, there has been a growing interest in the application of artificial intelligence (AI) in medicine, especially in specialties where visualization methods are applied. AI is defined as a computer's ability to achieve human cognitive performance, which is accomplished through enabling computer "learning". This can be conducted in two ways, as machine learning and deep learning. Deep learning is a complex learning system involving the application of artificial neural networks, whose algorithms imitate the human form of learning. Upper gastrointestinal endoscopy allows examination of the esophagus, stomach and duodenum. In addition to the quality of endoscopic equipment and patient preparation, the performance of upper endoscopy depends on the experience and knowledge of the endoscopist. The application of artificial intelligence in endoscopy refers to computer-aided detection and the more complex computer-aided diagnosis. The application of AI in upper endoscopy is aimed at improving the detection of premalignant and malignant lesions, with special attention on the early detection of dysplasia in Barrett's esophagus, the early detection of esophageal and stomach cancer and the detection of H. pylori infection. Artificial intelligence reduces the workload of endoscopists, is not influenced by human factors and increases the diagnostic accuracy and quality of endoscopic methods.

Tumor-derived exosome ElNF1-AS1 affects the progression of gastric cancer by promoting M2 polarization of macrophages

BACKGROUND

This study attempted to investigate the role of exosome ELFN1-AS1 in gastric cancer (GC).

METHODS

The study used various techniques to determine the level of exosomal ELFN1-AS1 in GC tissue and cells, including quantitative real-time PCR. Pull-down assay and dual-luciferase reporter assay were employed to identify interactions between ELFN1-AS1 and miR-4644, as well as miR-4644 and PKM. Western blot was employed to explore the potential regulatory mechanism. Several in vitro assays were conducted in xenograft models to investigate the impacts of exosomal ELFN1-AS1 on GC development, metastasis and macrophage polarization.

RESULTS

ELFN1-AS1 was upregulated in GC tissue and cells, with high enrichment in GC-derived exosomes. Exosomal ELFN1-AS1 enhances the cell abilities and stemness of GC. ELFN1-AS1 targeted and regulated miR-4644, which triggered PKM expression. Exosomal ELFN1-AS1 modulated glycolysis via PKM in an HIF-1α dependent manner in GC, promoting M2 polarization and macrophage recruitment. Furthermore, exosomal ELFN1-AS1 enhanced GC cell growth, metastasis and M2 polarization in vivo.

CONCLUSIONS

The study suggests that ELFN1-AS1 could be a promising biomarker for the diagnosis and treatment of GC.

Effect of a deep learning-based automatic upper GI endoscopic reporting system: a randomized crossover study (with video)

BACKGROUND AND AIMS

EGD is essential for GI disorders, and reports are pivotal to facilitating postprocedure diagnosis and treatment. Manual report generation lacks sufficient quality and is labor intensive. We reported and validated an artificial intelligence-based endoscopy automatic reporting system (AI-EARS).

METHODS

The AI-EARS was designed for automatic report generation, including real-time image capturing, diagnosis, and textual description. It was developed using multicenter datasets from 8 hospitals in China, including 252,111 images for training, 62,706 images, and 950 videos for testing. Twelve endoscopists and 44 endoscopy procedures were consecutively enrolled to evaluate the effect of the AI-EARS in a multireader, multicase, crossover study. The precision and completeness of the reports were compared between endoscopists using the AI-EARS and conventional reporting systems.

RESULTS

In video validation, the AI-EARS achieved completeness of 98.59% and 99.69% for esophageal and gastric abnormality records, respectively, accuracies of 87.99% and 88.85% for esophageal and gastric lesion location records, and 73.14% and 85.24% for diagnosis. Compared with the conventional reporting systems, the AI-EARS achieved greater completeness (79.03% vs 51.86%, P < .001) and accuracy (64.47% vs 42.81%, P < .001) of the textual description and completeness of the photo-documents of landmarks (92.23% vs 73.69%, P < .001). The mean reporting time for an individual lesion was significantly reduced (80.13 ± 16.12 seconds vs 46.47 ± 11.68 seconds, P < .001) after the AI-EARS assistance.

CONCLUSIONS

The AI-EARS showed its efficacy in improving the accuracy and completeness of EGD reports. It might facilitate the generation of complete endoscopy reports and postendoscopy patient management. (Clinical trial registration number: NCT05479253.).

Variation in the rate of detection of minute and small early gastric cancers at diagnostic endoscopy may reflect the performance of individual endoscopists

OBJECTIVE

The documented variation in gastric cancer (GC) detection among endoscopists has often been dismissed as a coincidental artefact of the low incidence of gastric neoplasms; it is not considered associated with differences in physicians' performance of the esophagogastroduodenoscopy procedure. This study is to confirm whether significant variations among endoscopists in early GC detection suggest the individual performance of the upper endoscopy.

DESIGN

A retrospective observational study at a single centre in Japan assessed the results of 218 early GCs detected during 25 688 routine esophagogastroduodenoscopies by 12 endoscopists. The main outcome was the rate of early GC detection for each endoscopist under the same circumstances. Other measures included the major diameters and locations of the lesions, Helicobacter pylori infection status, and baseline patient characteristics that could affect the prevalence of GC.

RESULTS

The early GC detection rates exhibited wide variation among endoscopists (0.09%-2.87%) despite performing routine esophagogastroduodenoscopies in a population with a similar background. Endoscopists were assigned to a low-detection group (n=6; detection rate: 0.47% (range: 0.09%-0.55%)) and a high-detection group (n=5; detection rate: 0.83% (range: 0.63%-1.12%)), with the single highest detector analysed separately due to his distinct detection rate (2.87%). Endoscopists in the high-detection group had better detection rates for minute (major diameter ≤5 mm) and small (major diameter 6-10 mm) GCs than the low-detection group (0.19%/0.23% vs 0.085%/0.098%). These differences were significant (p<0.01), although there were no significant differences in detection of larger tumours (major diameter ≥11 mm; 0.40% vs 0.28%; p=0.13). The tumour location and H. pylori status were similar in the low-detection group, high-detection group and for the highest detector.

CONCLUSION

Significant variation in the detection of hard-to-find, smaller GCs may reflect individual performance of the examination.