Publications by authors named "Yun-Jeong Lim"

Colon polyp detection and removal via colonoscopy are essential for colorectal cancer screening and prevention. This study aimed to develop a colon polyp detection program based on the RetinaNet algorithm and verify its clinical utility. To develop the AI-assisted program, the dataset was fully anonymized and divided into 10 folds for 10-fold cross-validation.

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Article Synopsis
  • Wireless capsule endoscopy (WCE) allows for non-invasive detection of gastrointestinal diseases but struggles with obstacles like food debris, which impacts traditional machine learning models that rely heavily on color data.
  • This study introduces a new model combining convolutional neural networks (CNN) and long short-term memory (LSTM) networks to analyze sequential image data, improving organ classification in challenging visual conditions.
  • The developed model showed impressive results, achieving over 95% accuracy for stomach, small intestine, and colon classification, with additional performance metrics indicating its efficacy even with imbalanced datasets.
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  • This study aimed to evaluate the effectiveness of tailored therapy based on genotypic resistance versus standard empirical therapy for Helicobacter pylori eradication across different treatment durations.
  • Results showed that patients receiving tailored therapy had significantly higher eradication rates (81.9%) compared to those on empirical therapy (65.7%), and this was consistent in both intention-to-treat and per-protocol analyses.
  • Although tailored therapy proved more effective, it was associated with a higher rate of adverse events compared to empirical therapy.
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Background: Magnetically assisted capsule endoscopy (MACE) showed the feasibility for upper gastrointestinal examination. To further enhance the performance of conventional MACE, it is necessary to provide quality-improved and three-dimensional images. The aim of this clinical study was to determine the efficacy and safety of novel three-dimensional MACE (3D MACE) for upper gastrointestinal and small bowel examination at once.

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Vitamin D may have anticancer effects against colorectal cancer (CRC). Bone mineral density (BMD) reflects the long-term vitamin D status. This study investigated the association between osteoporosis and colorectal neoplasms (CRN).

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Objectives: Poorly visualized images that appear during small bowel capsule endoscopy (SBCE) can confuse the interpretation of small bowel lesions and increase the physician's workload. Using a validated artificial intelligence (AI) algorithm that can evaluate the mucosal visualization, we aimed to assess whether SBCE reading after the removal of poorly visualized images could affect the diagnosis of SBCE.

Methods: A study was conducted to analyze 90 SBCE cases in which a small bowel examination was completed.

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  • Tegoprazan is a new medication that helps treat acid-related disorders and was tested for its effectiveness on ulcers caused by endoscopic submucosal dissection (ESD) in patients with gastric neoplasia.
  • In a study involving 160 patients, those taking tegoprazan had a 30.3% healing rate of artificial ulcers after 4 weeks, compared to 22.1% for those on esomeprazole, showing tegoprazan was more effective initially.
  • However, after 8 weeks, the overall healing rates were similar between the two groups, indicating that both medications ultimately had comparable effects on ulcer healing.
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Background/aims: Long-term use of acid suppressants such as proton pump inhibitors (PPIs) and histamine 2 receptor antagonist (H2RA) has been associated with the risk of osteoporotic fracture. Acid suppressants and muco-protective agents (MPAs) are often used together as anti-ulcer agents. We evaluated the association between the risk of osteoporotic fracture and the combined use of these anti-peptic agents.

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Background/aims: Mucoprotective agents, such as eupatilin, are often prescribed to prevent gastrointestinal (GI) bleeding in addition to an acid suppressant despite the absence of a large-scale study. We evaluated the additional effect of eupatilin on the prevention of GI bleeding in both the upper and lower GI tract in concomitant aspirin and acid suppressant users using the nationwide database of national claims data from the Korean National Health Insurance Service (NHIS).

Methods: An aspirin cohort was constructed using the NHIS claims data from 2013 to 2020.

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Background And Study Aim: Gastric endoscopic submucosal dissection (ESD) is a curative treatment for gastric neoplasm. A scheduled second-look endoscopy could be performed to prevent delayed post-ESD bleeding. However, no studies on the efficacy of second-look endoscopy for the prevention of early delayed post-ESD bleeding have been conducted.

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Although wireless capsule endoscopy (WCE) detects small bowel diseases effectively, it has some limitations. For example, the reading process can be time consuming due to the numerous images generated per case and the lesion detection accuracy may rely on the operators' skills and experiences. Hence, many researchers have recently developed deep-learning-based methods to address these limitations.

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Artificial intelligence (AI) is a subfield of computer science that aims to implement computer systems that perform tasks that generally require human learning, reasoning, and perceptual abilities. AI is widely used in the medical field. The interpretation of medical images requires considerable effort, time, and skill.

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Colorectal cancer (CRC), one of the most common cancers worldwide, continues to increase in incidence and mortality rates. This trend is closely linked to changes in dietary habits, which are major risk factors for colorectal cancer. The increase in the incidence of CRC in countries previously considered low-risk and with low socioeconomic status is most likely due to lifestyle and dietary changes.

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Background/aims: Capsule endoscopy (CE) has shown that low-dose aspirin occasionally causes small bowel (SB) bleeding. We herein evaluated the protective effects of mucoprotective agents (MPAs) on SB bleeding in aspirin users using the nationwide database of claims data from the National Health Insurance Service (NHIS).

Methods: As CE is an insured procedure, we constructed an aspirin-SB cohort using NHIS claims data, with a maximum follow- up period of 24 months.

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The first step in reading a capsule endoscopy (CE) is determining the gastrointestinal (GI) organ. Because CE produces too many inappropriate and repetitive images, automatic organ classification cannot be directly applied to CE videos. In this study, we developed a deep learning algorithm to classify GI organs (the esophagus, stomach, small bowel, and colon) using a no-code platform, applied it to CE videos, and proposed a novel method to visualize the transitional area of each GI organ.

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Article Synopsis
  • The study aimed to determine the optimal timing for bowel preparation using polyethylene glycol (PEG) before small bowel capsule endoscopy (SBCE).
  • Patients were divided into three groups based on how long before the procedure they finished PEG: within 6 hours (group A), 6-12 hours (group B), and over 12 hours (group C).
  • Results showed that those in group A had significantly better small bowel visibility and less unclean segments compared to the other groups, suggesting that completing PEG ingestion within 6 hours prior to SBCE is optimal.
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Small bowel capsule endoscopy (SBCE) may need to be performed immediately after colonoscopy without additional bowel preparation if active small bowel diseases are suspected. However, it is unclear whether the small bowel cleanliness is adequately maintained even after SBCE is performed immediately after colonoscopy. We compared the small bowel cleanliness scores of the study group (SBCE immediately after colonoscopy) and control group (SBCE alone) using a validated artificial intelligence (AI) algorithm (cut-off score > 3.

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Colorectal cancer (CRC) is a disease with high prevalence and mortality. Estimated preventability for CRC is approximately 50%, indicating that altering modifiable factors, including diet and body weight, can reduce CRC risk. There is strong evidence that dietary factors including whole grains, high-fiber, red and processed meat, and alcohol can affect the risk of CRC.

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Vitamin D is considered to be the main mediator of the beneficial effects of sun exposure. In humans, highest expression of Vitamin D receptors is found in the intestinal tract. In addition, 1α,25-dihydroxyvitamin D3 (or calcitriol), the most active Vitamin D metabolite, plays important homeostatic roles in the intestine, particularly calcium absorption.

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By automatically classifying the stomach, small bowel, and colon, the reading time of the wireless capsule endoscopy (WCE) can be reduced. In addition, it is an essential first preprocessing step to localize the small bowel in order to apply automated small bowel lesion detection algorithms based on deep learning. The purpose of the study was to develop an automated small bowel detection method from long untrimmed videos captured from WCE.

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Background/aims: We examined the efficacy and safety of tegoprazan as a part of first-line triple therapy for eradication.

Methods: A randomized, double-blind, controlled, multicenter study was performed to evaluate whether tegoprazan (50 mg)-based triple therapy (TPZ) was noninferior to lansoprazole (30 mg)- based triple therapy (LPZ) (with amoxicillin 1 g and clarithromycin 500 mg; all administered twice daily for 7 days) for treating . The primary endpoint was the eradication rate.

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Background: Efficient bowel preparation is essential for preventing colorectal cancer by improving endoscopic adenoma detection. Tablet for bowel preparation containing sulfate salts, OSTs (oral sulfate tablets), has been developed and it is gaining more popularity. However, its efficacy compared to standard preparation agent, PEG-AA (polyethylene glycol), has not been well discovered.

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Over the past decade, technological advances in deep learning have led to the introduction of artificial intelligence (AI) in medical imaging. The most commonly used structure in image recognition is the convolutional neural network, which mimics the action of the human visual cortex. The applications of AI in gastrointestinal endoscopy are diverse.

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Background/aims: The protective effects of vitamin D and calcium on colorectal neoplasms are known. Bone mineral density (BMD) may be a reliable biomarker that reflects the long-term anticancer effect of vitamin D and calcium. This study aimed to evaluate the association between BMD and colorectal adenomas including high-risk adenoma.

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