• Title/Summary/Keyword: Capsule Endoscopy

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Capsule Endoscopy in Children (소아에서의 캡슐내시경)

  • Ko, Jae-Sung
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.13 no.1
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    • pp.1-6
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    • 2010
  • The small bowel is the most difficult intestinal segment to examine. Radiologic tests are mostly insensitive and double-balloon enteroscopy is unsuitable for the younger child. Capsule endoscopy is a novel wireless method of investigation of the small bowel. The primary indications for capsule endoscopy include evaluation of obscure gastrointestinal bleeding, small bowel Crohn's disease, and polyposis syndromes. Capsule endoscopy offers an accurate and effective means of investigating the small bowel in children. Capsule retention is a potential complication of capsule endoscopy. This review provides the indications, safety, and limitations of wireless capsule endoscopy in children.

Capsule Endoscopy in Refractory Diarrhea-Predominant Irritable Bowel Syndrome and Functional Abdominal Pain

  • Valero, Manuel;Bravo-Velez, Gladys;Oleas, Roberto;Puga-Tejada, Miguel;Soria-Alcivar, Miguel;Escobar, Haydee Alvarado;Baquerizo-Burgos, Jorge;Pitanga-Lukashok, Hannah;Robles-Medranda, Carlos
    • Clinical Endoscopy
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    • v.51 no.6
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    • pp.570-575
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    • 2018
  • Background/Aims: Capsule endoscopy is a diagnostic method for evaluating the small bowel lumen and can detect undiagnosed lesions. The aim of this study was to evaluate the diagnostic yield and clinical impact of capsule endoscopy in patients with refractory diarrhea-predominant irritable bowel syndrome and functional abdominal pain. Methods: This study involved a retrospective analysis of prospectively collected data, maintained in a database. Patients with refractory diarrhea-predominant irritable bowel syndrome and functional abdominal pain within the period of March 2012 to March 2014 were included. Capsule endoscopy was used to detect small bowel pathologies in both groups. Results: Sixty-five patients (53.8% female) fulfilled the inclusion criteria and had a mean (${\pm}$standard deviation) age of $50.9{\pm}15.9$ years. Clinically significant lesions were detected via capsule endoscopy in 32.5% of the patients in the abdominal pain group and 54.5% of the patients in the diarrhea group. Overall, 48% of patients had small bowel pathologies detected during the capsule endoscopy study. Inflammatory lesions and villous atrophy were the most frequent lesions identified in 16.9% and 15.3% of patients in the abdominal pain and the diarrhea groups, respectively. Conclusions: Routine use of capsule endoscopy in patients with irritable bowel syndrome should not be recommended. However, in patients with refractory conditions, capsule endoscopy may identify abnormalities.

Association-Based Knowledge Model for Supporting Diagnosis of a Capsule Endoscopy (캡슐내시경 검사의 진단 보조를 위한 연관성 기반 지식 모델)

  • Hwang, Gyubon;Park, Ye-Seul;Lee, Jung-Won
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.10
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    • pp.493-498
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    • 2017
  • Capsule endoscopy is specialized for the observation of small intestine that is difficult to access by general endoscopy. The diagnostic procedure through capsule endoscopy consists of three stages: examination of indicant, endoscopy, and diagnosis. At this time, key information needed for diagnosis includes indicant, lesions, and suspected disease information. In this paper, these information are defined as semantic features and the extracting process is defined as semantic-based analysis. It is performed in whole capsule endoscopy. First, several symptoms of patient are checked before capsule endoscopy to get some information on suspected disease. Next, capsule endoscopy is performed by checking the suspected diseases. Finally, diagnosis is concluded by using supporting information. At this time, some association are used to conclude diagnosis. For example, there are the disease association between the symptom and the disease to identify the expected disease, and the anatomical association between the location of the lesion and supporting information. However, existing knowledge models such as MST and CEST only lists the simple term related to endoscopy and cannot consider such semantic associations. Therefore, in this paper, we propose association-based knowledge model for supporting diagnosis of capsule endoscopy. The proposed model is divided into two; a disease model and anatomical model of small intestine, interesting area(organs) of capsule endoscopy. It can effectively support diagnosis by providing key information for capsule endoscopy.

Two Cases of Jejunal Gastrointestinal Stromal Tumor Diagnosed by Capsule Endoscope (캡슐내시경으로 발견된 공장의 위장관 간질성 종양 2 예)

  • Choi, Jae-Won;Mun, Hui-Jeong;Jang, Byung-Ik;Kim, Tae-Nyeun;Song, Sun-Kyo;Bae, Young-Kyong;Lee, Ji-Eun
    • Journal of Yeungnam Medical Science
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    • v.23 no.1
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    • pp.131-137
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    • 2006
  • Small bowel tumors have been difficult to diagnose because of low incidence and absence of specific symptoms. There are no efficient and accurate tests available for diagnosis. Capsule endoscopy is an efficient diagnostic tool for small bowel disease and obscure gastrointestinal bleeding. We diagnosed two cases of small bowel gastrointestinal stromal tumor (GIST) diagnosed by capsule endoscopy that were treated by surgery. A 68 year old male presented with abdominal pain. The capsule endoscopy showed fungating ulcer mass at the jejunum. A 55 year female presented with melena. The capsule endoscopy showed an intraluminal protruding mass with a superficial ulcer at the jejunum. Two cases were diagnosed with GIST after surgery. We report these two case diagnosed by capsule endoscopy and review the medical literature.

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Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?

  • Hwang, Youngbae;Park, Junseok;Lim, Yun Jeong;Chun, Hoon Jai
    • Clinical Endoscopy
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    • v.51 no.6
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    • pp.547-551
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    • 2018
  • Unlike wired endoscopy, capsule endoscopy requires additional time for a clinical specialist to review the operation and examine the lesions. To reduce the tedious review time and increase the accuracy of medical examinations, various approaches have been reported based on artificial intelligence for computer-aided diagnosis. Recently, deep learning-based approaches have been applied to many possible areas, showing greatly improved performance, especially for image-based recognition and classification. By reviewing recent deep learning-based approaches for clinical applications, we present the current status and future direction of artificial intelligence for capsule endoscopy.

The Role of Capsule Endoscopy in the Diagnosis of Crohn's Disease

  • Rhee, Kang-Won
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.15 no.1
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    • pp.8-12
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    • 2012
  • The examination of small bowel in Crohn's disease (CD) is very important. Capsule endoscopy (CE) has been recognized as a good tool for evaluation of small bowel. The capsule placement is achieved endoscopically for Children not to swallow capsule. CE is superior to any other modalities for examination of small-bowel. The large portion of pediatric patients with known CD were found with CE to have more extensive and newly diagnostic small-bowel disease. All of them had therapeutic changes. The most side effect of CE is capsule retention. The capsule retention rate in pediatric CD is about 7.3%. The patency capsule helps to predict the possibility of capsule retention. For the improving of the diagnostic accuracy, the experience of more than 20 readings of CE is needed.

Class-Labeling Method for Designing a Deep Neural Network of Capsule Endoscopic Images Using a Lesion-Focused Knowledge Model

  • Park, Ye-Seul;Lee, Jung-Won
    • Journal of Information Processing Systems
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    • v.16 no.1
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    • pp.171-183
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    • 2020
  • Capsule endoscopy is one of the increasingly demanded diagnostic methods among patients in recent years because of its ability to observe small intestine difficulties. It is often conducted for 12 to 14 hours, but significant frames constitute only 10% of whole frames. Thus, it has been designed to automatically acquire significant frames through deep learning. For example, studies to track the position of the capsule (stomach, small intestine, etc.) or to extract lesion-related information (polyps, etc.) have been conducted. However, although grouping or labeling the training images according to similar features can improve the performance of a learning model, various attributes (such as degree of wrinkles, presence of valves, etc.) are not considered in conventional approaches. Therefore, we propose a class-labeling method that can be used to design a learning model by constructing a knowledge model focused on main lesions defined in standard terminologies for capsule endoscopy (minimal standard terminology, capsule endoscopy structured terminology). This method enables the designing of a systematic learning model by labeling detailed classes through differentiation of similar characteristics.

Predictors of Small Bowel Transit Time for Capsule Endoscopy in Children with Inflammatory Bowel Disease

  • Itsuhiro Oka;Rie Funayama;Hirotaka Shimizu;Ichiro Takeuchi;Shuko Nojiri;Toshiaki Shimizu;Katsuhiro Arai
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.26 no.4
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    • pp.181-192
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    • 2023
  • Purpose: The development of assistive devices has allowed for the performance of capsule endoscopy in children. Anticipating the capsule's transit time could affect the efficacy of the investigation and potentially minimize the fasting period. This study determined the predictors of small bowel transit time for small-bowel capsule endoscopy in children and adolescents with inflammatory bowel disease. Methods: We retrospectively examined children and adolescents with inflammatory bowel disease who underwent capsule endoscopy by the age 18 at a Japanese tertiary care children's hospital. Small bowel transit time predictors were analyzed using multiple regression with explanatory variables. Results: Overall, 92 patients, aged 1-17 years, with inflammatory bowel disease (63 Crohn's disease and 29 ulcerative colitis cases) were examined for factors affecting small bowel transit time. In the simple regression analysis, diagnosis, age, height, weight, serum albumin, general anesthesia, and small intestine lesions were significantly associated with small bowel transit time. In the multiple regression analyses, serum albumin (partial regression coefficient: -58.9, p=0.008), general anesthesia (partial regression coefficient: 127, p<0.001), and small intestine lesions (partial regression coefficient: 30.1, p=0.037) showed significant associations with small bowel transit time. Conclusion: Hypoalbuminemia, the use of general anesthesia for endoscopic delivery of the capsule, and small intestine lesions appeared to be predictors of prolonged small bowel transit time in children and adolescents with inflammatory bowel disease. Expecting the finishing time may improve examination with a fasting period reduction, which benefits both patients and caregivers.

Integrated Power Optimization with Battery Friendly Algorithm in Wireless Capsule Endoscopy

  • Mehmood, Tariq;Naeem, Nadeem;Parveen, Sajida
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.338-344
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    • 2021
  • The recently continuous enhancement and development in the biomedical side for the betterment of human life. The Wireless Body Area Networks is a significant tool for the current researcher to design and transfer data with greater data rates among the sensors and sensor nodes for biomedical applications. The core area for research in WBANs is power efficiency, battery-driven devices for health and medical, the Charging limitation is a major and serious problem for the WBANs.this research work is proposed to find out the optimal solution for battery-friendly technology. In this research we have addressed the solution to increasing the battery lifetime with variable data transmission rates from medical equipment as Wireless Endoscopy Capsules, this device will analyze a patient's inner body gastrointestinal tract by capturing images and visualization at the workstation. The second major issue is that the Wireless Endoscopy Capsule based systems are currently not used for clinical applications due to their low data rate as well as low resolution and limited battery lifetime, in case of these devices are more enhanced in these cases it will be the best solution for the medical applications. The main objective of this research is to power optimization by reducing the power consumption of the battery in the Wireless Endoscopy Capsule to make it battery-friendly. To overcome the problem we have proposed the algorithm for "Battery Friendly Algorithm" and we have compared the different frame rates of buffer sizes for Transmissions. The proposed Battery Friendly Algorithm is to send the images on average frame rate instead of transmitting the images on maximum or minimum frame rates. The proposed algorithm extends the battery lifetime in comparison with the previous baseline proposed algorithm as well as increased the battery lifetime of the capsule.

Mucosal Changes in the Small Intestines in Portal Hypertension: First Study Using the Pillcam SB3 Capsule Endoscopy System

  • Goenka, Mahesh Kumar;Shah, Bhavik Bharat;Rai, Vijay Kumar;Jajodia, Surabhi;Goenka, Usha
    • Clinical Endoscopy
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    • v.51 no.6
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    • pp.563-569
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    • 2018
  • Background/Aims: To evaluate patients with portal hypertension (PH) of varied etiologies for portal hypertensive enteropathy (PHE) using the PillCam SB3 capsule endoscopy (CE) system. Methods: Consecutive patients with PH presenting with unexplained anemia and/or occult gastrointestinal bleeding were evaluated using the PillCam SB3 CE system. Abnormal findings were categorized as vascular or non-vascular. The patients with ongoing bleeding caused by PHE were treated. The correlation of the CE scores of PHE with the clinical, laboratory, and endoscopic features was determined. Results: Of the 43 patients included in the study, 41 (95.3%) showed PHE findings. These included varices (67.4%), red spots (60.5%), erythema (44.2%), villous edema (46.5%), telangiectasia (16.3%), and polyps (16.3%). The CE scores varied from 0 to 8 ($mean{\pm}standard$ deviation, $4.09{\pm}1.8$). Five patients (11.6%) showed evidence of ongoing or recent bleeding due to PHE. Three of these five patients underwent endotherapy, and one patient underwent radiological coil placement. Conclusions: The PillCam SB3 CE system revealed a high prevalence of PHE in the patients with PH. Using this system, evidence of bleeding due to PHE was found in a small but definite proportion of the patients.