Current and Future Use of Esophageal Capsule Endoscopy

Park, Junseok; Cho, Young-Kwon; Kim, Ji Hyun

doi:10.5946/ce.2018.101

Cited by 36 publications

(19 citation statements)

References 37 publications

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“…Tiene la capacidad de obtener 4-14 imágenes por segundo con sus dos cámaras en un lapso de 20 a 30 minutos. Se debe utilizar con el paciente en posición supina para aumentar la tasa de detección y otros parámetros estadísticos (17).…”

Section: Nuevas Aproximacionesunclassified

La cápsula endoscópica como estudio diagnóstico en gastroenterología

Mejia

2019

Rev.méd.sinerg.

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La cápsula endoscópica es un método diagnóstico de lesiones del intestino delgado, un órgano que clásicamente ha sido de difícil acceso por los estudios diagnósticos convencionales. Su principal indicación es para el estudio de sangrado digestivo de origen oculto. El siguiente artículo informativo expone las generalidades de los aspectos técnicos, indicaciones, contraindicaciones y preparación para el estudio por capsula endoscópica. También se expone una revisión de las principales entidades diagnosticadas y los nuevos avances en endoscopía capsular para la detección de patologías en colon y esófago.

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Section: Nuevas Aproximacionesunclassified

La cápsula endoscópica como estudio diagnóstico en gastroenterología

Mejia

2019

Rev.méd.sinerg.

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“…Another alternative endoscopic test uses a video capsule that photographs the gut; however, because the capsule traveses the oesophagus very quickly, this test is not very useful for Barrett's oesophagus. 5 Therefore, an important question is which patients with suspected Barrett's oesophagus should be screened with these tests.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

Rosenfeld

Graham

Jevons

et al. 2020

The Lancet Digital Health

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Background Screening for Barrett's oesophagus relies on endoscopy, which is invasive and few who undergo the procedure are found to have the condition. We aimed to use machine learning techniques to develop and externally validate a simple risk prediction panel to screen individuals for Barrett's oesophagus. MethodsIn this prospective study, machine learning risk prediction in Barrett's oesophagus (MARK-BE), we used data from two case-control studies, BEST2 and BOOST, to compile training and validation datasets. From the BEST2 study, we analysed questionnaires from 1299 patients, of whom 880 (67·7%) had Barrett's oesophagus, including 40 with invasive oesophageal adenocarcinoma, and 419 (32·3%) were controls. We randomly split (6:4) the cohort using a computer algorithm into a training dataset of 776 patients and a testing dataset of 523 patients. We compiled an external validation cohort from the BOOST study, which included 398 patients, comprising 198 patients with Barrett's oesophagus (23 with oesophageal adenocarcinoma) and 200 controls. We identified independently important diagnostic features of Barrett's oesophagus using the machine learning techniques information gain and correlationbased feature selection. We assessed multiple classification tools to create a multivariable risk prediction model. Internal validation of the model using the BEST2 testing dataset was followed by external validation using the BOOST external validation dataset. From these data we created a prediction panel to identify at-risk individuals.Findings The BEST2 study included 40 diagnostic features. Of these, 19 added information gain but after correlationbased feature selection only eight showed independent diagnostic value including age, sex, cigarette smoking, waist circumference, frequency of stomach pain, duration of heartburn and acidic taste, and taking antireflux medication, of which all were associated with increased risk of Barrett's oesophagus, except frequency of stomach pain, with was inversely associated in a case-control population. Logistic regression offered the highest prediction quality with an area under the receiver-operator curve (AUC) of 0·87 (95% CI 0·84-0·90; sensitivity set at 90%; specificity of 68%). In the testing dataset, AUC was 0·86 (0·83-0·89; sensitivity set at 90%; specificity of 65%). In the external validation dataset, the AUC was 0·81 (0·74-0·84; sensitivity set at 90%; specificity of 58%). Interpretation Our diagnostic model offers valid predictions of diagnosis of Barrett's oesophagus in patients withsymptomatic gastro-oesophageal reflux disease, assisting in identifying who should go forward to invasive confirmatory testing. Our predictive panel suggests that overweight men who have been taking antireflux medication for a long time might merit particular consideration for further testing. Our risk prediction panel is quick and simple to administer but will need further calibration and validation in a prospective study in primary care.

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“…During the examination, a capsule with dimensions of 26 × 11 mm 2 is swallowed and within a few minutes the patient is supine, raised to 30°, raised to 60°, and followed by an upright position. 15 For the better positioning of the wireless capsule in the esophagus and for time prolonging of its passing through the esophagus, modifications to the capsule endoscope are under development. These modifications are based on the wireless capsule's attachment to strings, which control the position of the capsule in the esophagus.…”

Section: Introductionmentioning

confidence: 99%

“…During the examination, a capsule with dimensions of

is swallowed and within a few minutes the patient is supine, raised to 30°, raised to 60°, and followed by an upright position. 15 …”

Section: Introductionmentioning

confidence: 99%

USB capsule endoscope for retrograde imaging of the esophagus

et al. 2020

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Significance: Endoscopes represent electro-optical devices that are used to visualize internal body cavities. The specialized endoscopic procedure of the upper gastrointestinal tract from the esophagus down to the duodenum is called an esophagogastroduodenoscopy. Aim: We bring our newly developed capsule endoscopy device as a promising alternative diagnostic method for visualization of the upper gastrointestinal tract. Approach: Capsule endoscopy has become an attractive method that uses a tiny wireless camera to take pictures of the digestive tract. Existing esophageal capsule endoscopy does not allow a retrograde view of the esophagus while retrograde scanning can provide information on the esophageal pathology. Results: In comparison to the existing esophageal capsule endoscopy, our system is much simpler and cheaper due to the need for fewer electronic devices. Moreover, its use is not limited by the capacity of the batteries used by existing capsule endoscopes. The new esophageal endoscopic system was created by combining the universal serial bus (USB) endoscope module with the thin power wires that are routed through the USB port to the computer. Conclusions: The endoscope was tested on a volunteer without any side effects such as nausea, belching, and general discomfort. The examination of the patient is performed in a sitting position and the patient discomfort during the examination is minimal so it can be performed without anesthesia.

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Current and Future Use of Esophageal Capsule Endoscopy

Cited by 36 publications

References 37 publications

La cápsula endoscópica como estudio diagnóstico en gastroenterología

La cápsula endoscópica como estudio diagnóstico en gastroenterología

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

USB capsule endoscope for retrograde imaging of the esophagus

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