404 research outputs found

    Investigation into the effects of neuromodulation

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    Introduction: This thesis investigates the putative role of neuromodulation on bowel motility and the use of temporary neuromodulation as a tool for patient selection for permanent gastric neuromodulation. It also examines the durability of neuromodulation effects on the short and long-term basis.Methodology: My preliminary studies involved a systemic review of different neuromodulations and assessment of GI motility with capsule endoscopy. After this I measured gastric emptying time, quality of life and nutritional status following temporary gastric neuromodulation (GNM) and permanent gastric neuromodulation.Results: In our prospective study temporary and permanent gastric neuromodulation improved gastric emptying time, quality of life and nutritional intake of the patients. An interesting result of my study was the validation of capsule endoscopy (CE) as a tool for assessing GI motility. Conclusions:1 GNM is an effective treatment option for the symptoms of drug-resistant gastroparesis.2. Temporary GNM helps in patient selection for permanent GNM.3. Capsule endoscopy may be used to assess GI motility

    Overview of technical solutions and assessment of clinical usefulness of capsule endoscopy

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    The paper presents an overview of endoscopic capsules with particular emphasis on technical aspects. It indicates common problems in capsule endoscopy such as: (1) limited wireless communication (2) the use of capsule endoscopy in the case of partial patency of the gastrointestinal tract, (3) limited imaging area, (4) external capsule control limitations. It also presents the prospects of capsule endoscopy, the most recent technical solutions for biopsy and the mobility of the capsule in the gastrointestinal tract. The paper shows the possibilities of increasing clinical usefulness of capsule endoscopy resulting from technological limitations. Attention has also been paid to the current role of capsule endoscopy in screening tests and the limitations of its effectiveness. The paper includes the author's recommendations concerning the direction of further research and the possibility of enhancing the scope of capsule endoscop

    Motion analysis in terms of wireless video capsule endoscopy

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    El treball presentat suposa una visió general de l'"Endoscopia amb Càpsula de Vídeo Wireless" i la inspecció de sequències de contraccions intestinals amb les últimes tecnologies de visió per computador. Després de la observació preliminar dels fonaments mèdics requerits, la aplicació de visió per computador es presenta en aquestos termes. En essència, aquest treball proveïx una exhaustiva selecció, descripció i avaluació de cert conjunt de mètodes de processament d'imatges respecte a l'anàlisi de moviment, en el entorn de seqüències d'imatges preses amb una càpsula endoscòpica. Finalment, es presenta una aplicació de software per configurar i emprar de forma ràpida i fàcil un entorn experimental.El trabajo presentado supone una visión general de la "Endoscopia con Cápsula de Video Wireless" y la inspección de secuencias de contracciones intestinales con las últimas tecnologías en visión por computador. Tras la observación preliminar de los fundamentos médicos requeridos, la aplicación de visión por computador se presenta en éstos términos. En sustancia, este trabajo provee una exhaustiva selección, descripción y evaluación de cierto conjunto de métodos de procesamiento de imágenes con respecto al análisis de movimiento, en el entorno de secuencias de imágenes tomadas con una cápsula endoscópica. Finalmente, se presenta una aplicación de software para configurar y usar de forma rápida y fácil un entorno experimental.The presented work yields a survey of Wireless Video Capsule Endoscopy and the examination of intestinal contraction sequences by the use of state-of-the-art computer vision technologies. After an introductory observation of required medical foundations, the application of computer vision within these terms is pointed out. In essence, this paper provides a comprehensive selection, description and evaluation of a certain set of image processing methods and algorithms with respect to the analysis of motion in an environment of capsule endoscopy image sequences. Finally, a software application for setting up a fast and easy to use experimental environment is presented

    Deep Learning-based Solutions to Improve Diagnosis in Wireless Capsule Endoscopy

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    [eng] Deep Learning (DL) models have gained extensive attention due to their remarkable performance in a wide range of real-world applications, particularly in computer vision. This achievement, combined with the increase in available medical records, has made it possible to open up new opportunities for analyzing and interpreting healthcare data. This symbiotic relationship can enhance the diagnostic process by identifying abnormalities, patterns, and trends, resulting in more precise, personalized, and effective healthcare for patients. Wireless Capsule Endoscopy (WCE) is a non-invasive medical imaging technique used to visualize the entire Gastrointestinal (GI) tract. Up to this moment, physicians meticulously review the captured frames to identify pathologies and diagnose patients. This manual process is time- consuming and prone to errors due to the challenges of interpreting the complex nature of WCE procedures. Thus, it demands a high level of attention, expertise, and experience. To overcome these drawbacks, shorten the screening process, and improve the diagnosis, efficient and accurate DL methods are required. This thesis proposes DL solutions to the following problems encountered in the analysis of WCE studies: pathology detection, anatomical landmark identification, and Out-of-Distribution (OOD) sample handling. These solutions aim to achieve robust systems that minimize the duration of the video analysis and reduce the number of undetected lesions. Throughout their development, several DL drawbacks have appeared, including small and imbalanced datasets. These limitations have also been addressed, ensuring that they do not hinder the generalization of neural networks, leading to suboptimal performance and overfitting. To address the previous WCE problems and overcome the DL challenges, the proposed systems adopt various strategies that utilize the power advantage of Triplet Loss (TL) and Self-Supervised Learning (SSL) techniques. Mainly, TL has been used to improve the generalization of the models, while SSL methods have been employed to leverage the unlabeled data to obtain useful representations. The presented methods achieve State-of-the-art results in the aforementioned medical problems and contribute to the ongoing research to improve the diagnostic of WCE studies.[cat] Els models d’aprenentatge profund (AP) han acaparat molta atenció a causa del seu rendiment en una àmplia gamma d'aplicacions del món real, especialment en visió per ordinador. Aquest fet, combinat amb l'increment de registres mèdics disponibles, ha permès obrir noves oportunitats per analitzar i interpretar les dades sanitàries. Aquesta relació simbiòtica pot millorar el procés de diagnòstic identificant anomalies, patrons i tendències, amb la conseqüent obtenció de diagnòstics sanitaris més precisos, personalitzats i eficients per als pacients. La Capsula endoscòpica (WCE) és una tècnica d'imatge mèdica no invasiva utilitzada per visualitzar tot el tracte gastrointestinal (GI). Fins ara, els metges revisen minuciosament els fotogrames capturats per identificar patologies i diagnosticar pacients. Aquest procés manual requereix temps i és propens a errors. Per tant, exigeix un alt nivell d'atenció, experiència i especialització. Per superar aquests inconvenients, reduir la durada del procés de detecció i millorar el diagnòstic, es requereixen mètodes eficients i precisos d’AP. Aquesta tesi proposa solucions que utilitzen AP per als següents problemes trobats en l'anàlisi dels estudis de WCE: detecció de patologies, identificació de punts de referència anatòmics i gestió de mostres que pertanyen fora del domini. Aquestes solucions tenen com a objectiu aconseguir sistemes robustos que minimitzin la durada de l'anàlisi del vídeo i redueixin el nombre de lesions no detectades. Durant el seu desenvolupament, han sorgit diversos inconvenients relacionats amb l’AP, com ara conjunts de dades petits i desequilibrats. Aquestes limitacions també s'han abordat per assegurar que no obstaculitzin la generalització de les xarxes neuronals, evitant un rendiment subòptim. Per abordar els problemes anteriors de WCE i superar els reptes d’AP, els sistemes proposats adopten diverses estratègies que aprofiten l'avantatge de la Triplet Loss (TL) i les tècniques d’auto-aprenentatge. Principalment, s'ha utilitzat TL per millorar la generalització dels models, mentre que els mètodes d’autoaprenentatge s'han emprat per aprofitar les dades sense etiquetar i obtenir representacions útils. Els mètodes presentats aconsegueixen bons resultats en els problemes mèdics esmentats i contribueixen a la investigació en curs per millorar el diagnòstic dels estudis de WCE

    New Techniques in Gastrointestinal Endoscopy

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    As result of progress, endoscopy has became more complex, using more sophisticated devices and has claimed a special form. In this moment, the gastroenterologist performing endoscopy has to be an expert in macroscopic view of the lesions in the gut, with good skills for using standard endoscopes, with good experience in ultrasound (for performing endoscopic ultrasound), with pathology experience for confocal examination. It is compulsory to get experience and to have patience and attention for the follow-up of thousands of images transmitted during capsule endoscopy or to have knowledge in physics necessary for autofluorescence imaging endoscopy. Therefore, the idea of an endoscopist has changed. Examinations mentioned need a special formation, a superior level of instruction, accessible to those who have already gained enough experience in basic diagnostic endoscopy. This is the reason for what these new issues of endoscopy are presented in this book of New techniques in Gastrointestinal Endoscopy

    Factors governing gastrointestinal motility

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    Introduction: The reasons for the rapid resolution of diabetes (DM) following bariatric surgery in a significant proportion of patients with morbid obesity remain unclear. This thesis investigates the putative role of changes in gastrointestinal (GI) motility and GI hormones as well as the possible significance of alterations in energy expenditure that occur as a consequence of weight loss.Methodology: My preliminary studies involved a systematic review of GI motility in obesity, and retrospective studies measuring GI motility with alternative methods including capsule endoscopy and hydrogen breath test. Subsequent to this I measured changes in GI motility in two very different patient cohorts; one following bariatric surgery for morbid obesity and the other a group of patients with proven gastroparesis treated with gastric neuromodulation (GNM). Parallel to the above I conducted studies of indirect calorimetry in these patients in an attempt to determine if changes in energy expenditure which occur as a consequence of weight loss were significant.Results: In our prospective study temporary GNM significantly improved gastric emptying and nutritional intake.There was conclusive evidence to causally relate alterations in GI motility and Glucagon like peptide -1 (GLP-1) with weight loss and resolution of DM following bariatric surgery.An interesting "spin off" result of my studies was validation of capsule endoscopy (CE) as a means of assessing GI motility.My results obtained from measure if indirect calorimetrty clearly show that standard equations tend to over estimate the energy requirements of this group. The implications of this are discussed.Conclusions:1. Fast pouch emptying; an early and exaggerated GLP-1 response contributes in resolution of type 2 diabetes following RYGB.2. GNM is an effective treatment for gastroparesis.3. Capsule endoscopy may be used to assess GI motility.4. Prediction equations over estimate energy requirements in morbidly obese patients

    Magnetically Assisted Capsule Endoscopy: A Viable Alternative to Conventional Flexible Endoscopy of the Stomach?

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    INTRODUCTION: Oesophagogastroduodenoscopy is the investigation of choice to identify mucosal lesions of the upper gastrointestinal tract, but it is poorly tolerated by patients. A simple non-invasive technique to image the upper gastrointestinal tract, which could be made widely available, would be beneficial to patients. Capsule endoscopy is well tolerated by patients but the stomach has proved difficult to visualise accurately with capsule technology due to its’ capacious nature and mucosal folds, which can obscure pathology. MiroCam Navi (Intromedic Ltd, Seoul, Korea) is a capsule endoscope containing a small amount of magnetic material which has been made available with a handheld magnet which might allow a degree of control. This body of work aims to address whether this new technology could be a feasible alternative to conventional flexible endoscopy of the stomach. METHODS: Four studies were conducted to test this research question. The first explores the feasibility of magnetically assisted capsule endoscopy of the stomach and operator learning curve in an ex vivo porcine model. This was followed by a randomised, blinded trial comparing magnetically assisted capsule endoscopy to conventional flexible endoscopy in ex vivo porcine stomach models. Subsequently a prospective, single centre randomised controlled trial in humans examined whether magnetically assisted capsule endoscopy could enhance conventional small bowel capsule endoscopy by reducing gastric transit time. Finally a blinded comparison of diagnostic yield of magnetically assisted capsule endoscopy compared to oesophagogastroduodenoscopy was performed in patients with recurrent or refractory iron deficiency anaemia. RESULTS: In the first study all stomach tags were identified in 87.2% of examinations and a learning curve was demonstrated (mean examination times for the first 23 and second 23 procedures 10.28 and 6.26 minutes respectively (p<0.001). In the second study the difference in sensitivities between oesophagogastroduodenoscopy and conventional flexible endoscopy for detecting beads within an ex vivo porcine stomach model was 1.11 (95% CI 0.06, 28.26) proving magnetically assisted capsule endoscopy to be non-inferior to flexible endoscopy. In the first human study, although there was no significant difference in gastric transit time or capsule endoscopy completion rate between the two groups (p=0.12 and p=0.39 respectively), the time to first pyloric image was significantly shorter in the intervention group (p=0.03) suggesting that magnetic control hastens capsular transit to the gastric antrum but cannot impact upon duodenal passage. In the last study, a total of 38 pathological findings were identified in this comparative study of magnetically assisted capsule endoscopy and conventional endoscopy. Of these, 16 were detected at both procedures, while flexible endoscopy identified 14 additional lesions not seen at magnetically assisted capsule endoscopy and magnetically assisted capsule endoscopy detected 8 abnormalities not seen by oesophagogastroduodenoscopy. No adverse events occurred in either of the human trials. Finally magnetically steerable capsule endoscopy induced less procedural pain, discomfort and distress than oesophagogastroduodenoscopy (p=0.0009, p=0.001 and p=0.006 respectively). CONCLUSION: Magnetically assisted capsule endoscopy is safe, well tolerated and a viable alternative to conventional endoscopy. Further research to develop and improve this new procedure is recommended
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