Endoscopy for upper gastrointestinal bleeding: where are we in 2017?

Forrest Classification for Bleeding Peptic Ulcer: A New Look at the Old Endoscopic Classification

The management of peptic ulcer bleeding is clinically challenging. For decades, the Forrest classification has been used for risk stratification for nonvariceal ulcer bleeding. The perception and interpretation of the Forrest classification vary among different endoscopists. The relationship between the bleeder and ulcer images and the different stages of the Forrest classification has not been studied yet. Endoscopic still images of 276 patients with peptic ulcer bleeding for the past 3 years were retrieved and reviewed. The intra-rater agreement and inter-rater agreement were compared. The obtained endoscopic images were manually drawn to delineate the extent of the ulcer and bleeding area. The areas of the region of interest were compared between the different stages of the Forrest classification. A total of 276 images were first classified by two experienced tutor endoscopists. The images were reviewed by six other endoscopists. A good intra-rater correlation was observed (0.92–0.98). A good inter-rater correlation was observed among the different levels of experience (0.639–0.859). The correlation was higher among tutor and junior endoscopists than among experienced endoscopists. Low-risk Forrest IIC and III lesions show distinct patterns compared to high-risk Forrest I, IIA, or IIB lesions. We found good agreement of the Forrest classification among different endoscopists in a single institution. This is the first study to quantitively analyze the obtained and explain the distinct patterns of bleeding ulcers from endoscopy images.

Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature

With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroenterologist, radiologist, and surgeon, from initial assessment to hospital discharge. The application of artificial intelligence (AI) methods has remarkably improved people's lives. In particular, AI systems have shown great potential in many areas of gastroenterology to increase human performance. Colonoscopy polyp detection or diagnosis by an AI system was recently introduced for commercial use to improve endoscopist performance. Although PUB is a longstanding health problem, these newly introduced AI technologies may soon impact endoscopists' clinical practice by improving the quality of care for these patients. To update the current status of AI application in PUB, we reviewed recent relevant literature and provided future perspectives that are required to integrate such AI tools into real-world practice.

Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease

Purpose

Management of peptic ulcer bleeding is clinically challenging. Accurate characterization of the bleeding during endoscopy is key for endoscopic therapy. This study aimed to assess whether a deep learning model can aid in the classification of bleeding peptic ulcer disease.

Methods

Endoscopic still images of patients (n = 1694) with peptic ulcer bleeding for the last 5 years were retrieved and reviewed. Overall, 2289 images were collected for deep learning model training, and 449 images were validated for the performance test. Two expert endoscopists classified the images into different classes based on their appearance. Four deep learning models, including Mobile Net V2, VGG16, Inception V4, and ResNet50, were proposed and pre-trained by ImageNet with the established convolutional neural network algorithm. A comparison of the endoscopists and trained deep learning model was performed to evaluate the model’s performance on a dataset of 449 testing images.

Results

The results first presented the performance comparisons of four deep learning models. The Mobile Net V2 presented the optimal performance of the proposal models. The Mobile Net V2 was chosen for further comparing the performance with the diagnostic results obtained by one senior and one novice endoscopists. The sensitivity and specificity were acceptable for the prediction of “normal” lesions in both 3-class and 4-class classifications. For the 3-class category, the sensitivity and specificity were 94.83% and 92.36%, respectively. For the 4-class category, the sensitivity and specificity were 95.40% and 92.70%, respectively. The interobserver agreement of the testing dataset of the model was moderate to substantial with the senior endoscopist. The accuracy of the determination of endoscopic therapy required and high-risk endoscopic therapy of the deep learning model was higher than that of the novice endoscopist.

Conclusions

In this study, the deep learning model performed better than inexperienced endoscopists. Further improvement of the model may aid in clinical decision-making during clinical practice, especially for trainee endoscopist.

Bleeding Duodenal Ulcer: Strategies in High-Risk Ulcers

BACKGROUND

Acute peptic ulcer bleeding is still a major reason for hospital admission. Especially the management of bleeding duodenal ulcers needs a structured therapeutic approach due to the higher morbidity and mortality compared to gastric ulcers. Patient with these bleeding ulcers are often in a high-risk situation, which requires multidisciplinary treatment.

SUMMARY

This review provides a structured approach to modern management of bleeding duodenal ulcers and elucidates therapeutic practice in high-risk situations. Initial management including pharmacologic therapy, risk stratification, endoscopy, surgery, and transcatheter arterial embolization are reviewed and their role in the management of bleeding duodenal ulcers is critically discussed. Additionally, a future perspective regarding prophylactic therapeutic approaches is outlined.

KEY MESSAGES

Beside pharmacotherapeutic and endoscopic advances, bleeding management of high-risk duodenal ulcers is still a challenge. When bleeding persists or rebleeding occurs and the gold standard endoscopy fails, surgical and radiological procedures are indicated to manage ulcer bleeding. Surgical procedures are performed to control hemorrhage, but they are still associated with a higher morbidity and a longer hospital stay. In the meantime, transcatheter arterial embolization is recommended as an alternative to surgery and more often replaces surgery in the management of failed endoscopic hemostasis. Future studies are needed to improve risk stratification and therefore enable a better selection of high-risk ulcers and optimal treatment. Additionally, the promising approach of prophylactic embolization in high-risk duodenal ulcers has to be further investigated to reduce rebleeding and improve outcomes in these patients.

Endotherapy of Peptic Ulcer Bleeding

Peptic ulcer bleeding is common and associated with significant morbidity and mortality. We discuss the endoscopic assessment of peptic ulcers and the rationale for treatment. We also review the evidence for the available endoscopic therapies, both individually and in combination, to draw conclusions on the optimum endoscopic management of peptic ulcer bleeding.