Recurrence rates and risk factors in obscure gastrointestinal bleeding.

Obscure gastrointestinal bleeding (OGIB), defined in 2010, involves bleeding from the GI tract that remains unexplained after standard diagnostic procedures. OGIB, which accounts for about 5% of all GI bleeds, poses diagnostic and management challenges, particularly due to the anatomical features of the small intestine. Advances in capsule endoscopy (CE) and balloon-assisted endoscopy have improved the diagnostic and therapeutic landscape for small intestinal lesions. Objective: To determine the recurrence rate and identify risk factors for recurrence following diagnostic and therapeutic interventions using CE and balloon-assisted endoscopy in patients with OGIB. Methods: A retrospective cohort study at Gifu University Hospital analyzed CE procedures for patients with OGIB from 2008 to 2022. Patients underwent CE with subsequent treatments based on the findings. Statistical analyses, including Kaplan-Meier and Cox proportional hazards models, were used to estimate cumulative recurrence rates and identify recurrence risk factors. Results: Out of 417 patients, 65.2% had positive CE findings, leading to therapeutic interventions in 16.3% of cases. The cumulative recurrence rates at 12, 24, and 36 months were 4.3%, 9.0%, and 13.9%, respectively. Liver cirrhosis (hazard rate: 4.15, 95% confidence interval 1.88-9.18, p < 0.01) was identified as a significant risk factor for recurrence. Conclusions: A significant recurrence rate in OGIB patients, with liver cirrhosis being a major risk factor. Despite diagnostic and therapeutic advances, a comprehensive approach including careful follow-up and consideration of risk factors is essential for management.

Clinical usefulness and acceptability of small-bowel capsule endoscopy with panoramic imaging compared with axial imaging in Japanese patients.

Objectives: We aimed to evaluate the usefulness and acceptability of CapsoCam Plus (CapsoCam) in Japanese patients. Methods: This retrospective single-center study enrolled 930 patients with suspected small-bowel bleeding (SSBB) who underwent capsule endoscopy. Thirty-three patients using CapsoCam and PillCam SB3 (SB3) were matched using propensity score matching. The diagnostic yield and the acceptability of CapsoCam were evaluated. Results: There was no SSBB case where capsule endoscopy was performed within 48 h of bleeding. CapsoCam had a significantly higher observation rate of the entire small bowel (97% vs. 73%, p = 0.006) and Vater's papilla (82% vs. 15%, p < 0.001) than SB3. The reading time of CapsoCam was significantly longer than that of SB3 (30 vs. 25 min, p < 0.001), and CapsoCam's time from the capsule endoscopy swallowing to read completion was longer than that of SB3 (37 vs. 12 h, p < 0.001). The two groups showed no difference in the capsule endoscopy findings according to the P classification. Notably, 85% of the patients using CapsoCam reported examination distress as "not at all" or "almost not," and 94% reported swallowing difficulty as "very easy" or "easy." Conclusions: CapsoCam took time to read; however, it is a well-tolerated examination with a high observation rate of Vater's papilla and entire small-bowel mucosa. Detectability of bleeding sources was comparable in both modalities for cases of occult SSBB and overt SSBB more than 48 h after bleeding. CapsoCam is a useful modality for patients with SSBB.

Pixel-wise annotation for clear and contaminated regions segmentation in wireless capsule endoscopy images: A multicentre database.

Wireless capsule endoscopy (WCE) is capable of non-invasively visualizing the small intestine, the most complicated segment of the gastrointestinal tract, to detect different types of abnormalities. However, its main drawback is reviewing the vast number of captured images (more than 50,000 frames). The recorded images are only sometimes clear, and different contaminating agents, such as turbid materials and air bubbles, degrade the visualization quality of the WCE images. This condition could cause serious problems such as reducing mucosal view visualization, prolonging recorded video reviewing time, and increasing the risks of missing pathology. On the other hand, accurately quantifying the amount of turbid fluids and bubbles can indicate potential motility malfunction. To assist in developing computer vision-based techniques, we have constructed the first multicentre publicly available clear and contaminated annotated dataset by precisely segmenting 17,593 capsule endoscopy images from three different databases. In contrast to the existing datasets, our dataset has been annotated at the pixel level, discriminating the clear and contaminated regions and subsequently differentiating bubbles and turbid fluids from normal tissue. To create the dataset, we first selected all of the images (2906 frames) in the reduced mucosal view class covering different levels of contamination and randomly selected 12,237 images from the normal class of the copyright-free CC BY 4.0 licensed small bowel capsule endoscopy (SBCE) images from the Kvasir capsule endoscopy database. To mitigate the possible available bias in the mentioned dataset and to increase the sample size, the number of 2077 and 373 images have been stochastically chosen from the SEE-AI project and CECleanliness datasets respectively for the subsequent annotation. Randomly selected images have been annotated with the aid of ImageJ and ITK-SNAP software under the supervision of an expert SBCE reader with extensive experience in gastroenterology and endoscopy. For each image, two binary and tri-colour ground truth (GT) masks have been created in which each pixel has been indexed into two classes (clear and contaminated) and three classes (bubble, turbid fluids, and normal), respectively. To the best of the author's knowledge, there is no implemented clear and contaminated region segmentation on the capsule endoscopy reading software. Curated multicentre dataset can be utilized to implement applicable segmentation algorithms for identification of clear and contaminated regions and discrimination bubbles, as well as turbid fluids from normal tissue in the small intestine. Since the annotated images belong to three different sources, they provide a diverse representation of the clear and contaminated patterns in the WCE images. This diversity is valuable for training the models that are more robust to variations in data characteristics and can generalize well across different subjects and settings. The inclusion of images from three different centres allows for robust cross-validation opportunities, where computer vision-based models can be trained on one centre's annotated images and evaluated on others.

Computer aided villi morphometric quantification in video-capsule enteroscopy: A newly developed software to quantify small bowel atrophy.

BACKGROUND AND AIMS: Small bowel capsule endoscopy (SBCE) has an established role in patients with non-responsive celiac disease (CeD). A non-invasive method to quantify small bowel atrophy is still lacking. METHODS: We analysed SBCE frames from CeD patients from 2018 to 2020. Histology was the reference standard, with atrophy defined as Marsh-Oberhuber score ≥ 3a. Three regions of interest (ROI) were blindly selected from each frame by an expert gastroenterologist and analysed using a National Institute of Health J image-processing software into a numerical scale. A 3D surface plot macro identified intestinal villi density through isolines plots. RESULTS: We acquired 306 ROIs from 57 frames with macroscopic atrophy and 45 with normal mucosa. Frames were classified as atrophic (n = 63) or non-atrophic (n = 39) per Marsh-Oberhuber classification. Median density score significantly differed between atrophic and non-atrophic frames (p < 0.001). The morphometric analysis showed a sensitivity of 77 % and a specificity of 79 % in discriminating between atrophic or non-atrophic mucosa with a 14.10 cut-off (Youden Index) and an overall AUC of 0.805 (CI 95 % 0.712-0.897). CONCLUSIONS: Our newly developed SBCE software can effectively quantify villous atrophy. Further studies are needed to validate its applicability in an external cohort.

The Diagnostic Accuracy of Colon Capsule Endoscopy in Inflammatory Bowel Disease-A Systematic Review and Meta-Analysis.

Colon capsule endoscopy (CCE) has regained popularity for lower gastrointestinal investigations since the COVID-19 pandemic. While there have been systematic reviews and meta-analyses on colonic polyp detection using CCE, there is a lack of comprehensive evidence concerning colonic inflammation. Therefore, this systematic review and meta-analysis aimed to assess the diagnostic accuracy of CCE for colonic inflammation, predominantly ulcerative colitis (UC) and Crohn's disease (CD). Methods: We systematically searched electronic databases (EMBASE, MEDLINE, PubMed Central, and Cochrane Library) for studies comparing the diagnostic accuracy between CCE and optical endoscopy as the standard reference. A bivariate random effect model was used for the meta-analysis. Results: From 3797 publications, 23 studies involving 1353 patients were included. Nine studies focused on UC, and ten focused on CD. For UC, CCE showed a pooled sensitivity of 92% (95% CI, 88-95%), a specificity of 71% (95% CI, 35-92%), and an AUC of 0.93 (95% CI, 0.89-0.97). For CD, the pooled sensitivity was 92% (95% CI, 89-95%), and the specificity was 88% (95% CI, 84-92%), with an AUC of 0.87 (95% CI, 0.76-0.98). Overall, for inflammatory bowel disease, the pooled sensitivity, specificity, and AUC were 90% (95% CI, 85-93%), 76% (95% CI, 56-90%), and 0.92 (95% CI, 0.94-0.97), respectively. Conclusions: Despite the challenges around standardised disease scoring and the lack of histological confirmation, CCE performs well in diagnosing inflammatory bowel disease. It demonstrates high sensitivity in both UC and Crohn's terminal ileitis and colitis and high specificity in Crohn's disease. Further studies are needed to evaluate the diagnostic accuracy of other colonic inflammatory conditions.

A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges.

Colon capsule endoscopy (CCE) enables a comprehensive, non-invasive, and painless evaluation of the colon, although it still has limited indications. The lengthy reading times hinder its wider implementation, a drawback that could potentially be overcome through the integration of artificial intelligence (AI) models. Studies employing AI, particularly convolutional neural networks (CNNs), demonstrate great promise in using CCE as a viable option for detecting certain diseases and alterations in the colon, compared to other methods like colonoscopy. Additionally, employing AI models in CCE could pave the way for a minimally invasive panenteric or even panendoscopic solution. This review aims to provide a comprehensive summary of the current state-of-the-art of AI in CCE while also addressing the challenges, both technical and ethical, associated with broadening indications for AI-powered CCE. Additionally, it also gives a brief reflection of the potential environmental advantages of using this method compared to alternative ones.

Impact of GLP-1 Receptor Agonists in Gastrointestinal Endoscopy: An Updated Review.

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become one of the most popular medications for patients with diabetes and obesity. Due to their effects on gut motility via central or parasympathetic pathways, there have been concerns about an increased incidence of retained gastric contents and risk of aspiration in the perioperative period. Hence, the American Society of Anesthesiologists (ASA) recommends holding GLP-1 RAs on the procedure day or a week before the elective procedure based on the respective daily or weekly formulations, regardless of the dose, indication (obesity or diabetes), or procedure type. On the contrary, the American Gastroenterological Association (AGA) advises an individualized approach, stating that more data are needed to decide if and when the GLP-1 RAs should be held prior to elective endoscopy. Several retrospective and prospective studies, along with meta-analyses, have been published since then evaluating the role of GLP-1 RAs in patients scheduled for endoscopic procedures. In this review, we discuss the current clinical guidelines and available studies regarding the effect of GLP-1 RAs on GI endoscopies.

Positioning exercises in improving the quality of magnetic-controlled capsule endoscopy.

BACKGROUND: Good gastric preparation is indispensable for Magnetic-controlled Capsule Endoscopy (MCE) examination, but there is no consensus yet. We aim to explore the clinical application value of positioning exercises in improving the quality of MCE examination. METHODS: Clinical data of 326 patients who underwent MCE examination from January 2020 to December 2023 were collected. The included patients were divided into two groups: the conventional medication preparation group (CMP group, accepted mucosal cleansing medication only) and the positioning exercises group (PE group, accepted mucosal cleansing medication plus positioning exercises). A comparison was made between the two groups in terms of gastric cavity cleanliness score, visibility score, and detection rate of positive lesions. RESULTS: The examination time was (21.29 ± 5.82) minutes in the PE group and (30.54 ± 6.37) minutes in the CMP group, showing a significant difference between the two groups (P < 0.001). The total cleanliness score and visibility score in the CMP group were 15.89 ± 2.82 and 10.93 ± 2.12, respectively. In contrast, the total cleanliness score and visibility score in the PE group were 19.52 ± 2.26 and 15.09 ± 2.31, respectively. The PE group showed significantly better cleanliness scores and visibility scores in all six anatomical regions compared to the CMP group (All P < 0.001). However, there was no significant difference in the detection rate of positive lesions between the two groups (All P > 0.05). CONCLUSION: Positioning exercises before MCE examination can improve the quality of gastric mucosal images and reduce the duration of the examination for patients.

Detection of early hidden carcinoma of cardia by reversely entering the esophagus with magnetically controlled capsule endoscopy: A case report.

Magnetically controlled capsule endoscopy (MCE) is a non-invasive method for gastropathy examination. However, due to the influence of gravity and lumen structure, the traditional capsule endoscopy rapidly passes through the cardia, leading to insufficient observation of the cardia mucosa. Case Summary. The patient, a 53-year-old male, had a history of subarachnoid hemorrhage for 5 years, and it has been 5 years since the aneurysm embolization.Computed Tomography Angiography (CTA) indicated the presence of an anterior cruciate aneurysm. Given the risks associated with traditional intubated gastroscopy, magnetic controlled capsule gastroscopy was chosen for gastric examination. Following the standard operating procedure, routine magnetic controlled capsule endoscopy was performed, and no lesions were detected.We combined magnetic force and patient posture adjustment to guide the capsule to pass through the cardia slowly and return to the esophagus, successfully detecting a concealed cardia lesion.Afterwards, the lesions of the cardia were treated with a magnifying gastroscope and endoscopic submucosal dissection (ESD).Pathological findings showed that adenocarcinoma was confined to the mucosa membrane, and in the postoperative pathological study, no tumor remnants or metastasis were discovered. This paper reports a case of a patient undergoing a physical examination, but no lesion was found during a routine examination using the magnetically controlled capsule gastroscope. However, we discovered a case of hidden early cardia cancer after guiding the capsule gastroscope back into the esophagus under magnetic control.

Prolonged video capsule endoscopy examination durations can improve capsule endoscopy completeness.

BACKGROUND: Capsule endoscopy (CE) is useful for managing patients with suspected small bowel diseases. However, the effect of prolonged CE examination time on CE performance is unknown. AIM: To evaluate the completeness and diagnostic yield of prolonged CE imaging in patients with suspected small bowel bleeding. METHODS: We reviewed consecutive records of adult CE examinations via an overnight protocol from Jan 2016 to Dec 2020 at a tertiary center in Taiwan. We subcategorized the CE records by recording length into within 8 h, within 12 h and throughout the whole procedure and compared the completion rate and diagnostic yield between the groups. Cochran's Q test was used for statistical analysis. RESULTS: A total of 88 patients were enrolled with 78.4% inpatients (median age 72 years). The small bowel evaluation completion rate was 93.2%, which was significantly greater than the 79.5% rate within 12 h (p = 0.025) and the 58% rate within 8 h (p < 0.001). The diagnostic yield was 83% in the whole-course overnight study, which was significantly greater than the 71.6% diagnostic yield within 8 h (p < 0.001) and similar to the 81.8% diagnostic yield within 12 h. CONCLUSION: Prolonged overnight CE examination can improve the completion rate and diagnostic yield and should be considered for routine clinical practice.

Risk factors of delayed upper gastrointestinal transit in capsule endoscopy.

OBJECTIVE: The purpose was to investigate the risk factors for delayed upper gastrointestinal transit (DUGT) in small bowel capsule endoscopy (SBCE) and to improve the efficacy of SBCE. METHODS: The medical records of patients who underwent SBCE in Renji hospital between January 2015 and January 2023 were retrospectively reviewed. Data collection included patient demographics and potential risk factors for DUGT such as indications for the examination, underlying diseases, hospitalization status, anemia, inflammation. Risk factors were analyzed using univariable and multivariable logistic regression models. DUGT was defined as failure of a capsule to pass through the pylorus within 1 h. RESULTS: A total of 1459 patients who underwent SBCE were included in the study. 306 Cases (21%) experienced DUGT and all received conservative observation, medication treatment, endoscopic intervention, and other measures based on specific circumstances. The overall completion rate (CR) of the examination was 95.5% (1394/1459). Logistic regression analysis showed that hospitalization status (p = 0.030), diarrhea (p = 0.017), diabetes (p = 0.027) and cerebrovascular disease (p = 0.038) were significant risk factors for DUGT. CONCLUSIONS: In our study, DUGT of SBCE was associated with hospitalization status, diarrhea, diabetes and cerebrovascular disease. Therefore, for the patients with the above risk factors, we should closely check the capsule status during the examination process, in order to take appropriate intervention measures as soon as possible.

Spectrum aided vision enhancer enhances mucosal visualization by hyperspectral imaging in capsule endoscopy.

Narrow-band imaging (NBI) is more efficient in detecting early gastrointestinal cancer than white light imaging (WLI). NBI technology is available only in conventional endoscopy, but unavailable in magnetic-assisted capsule endoscopy (MACE) systems due to MACE's small size and obstacles in image processing issues. MACE is an easy, safe, and convenient tool for both patients and physicians to avoid the disadvantages of conventional endoscopy. Enabling NBI technology in MACE is mandatory. We developed a novel method to improve mucosal visualization using hyperspectral imaging (HSI) known as Spectrum Aided Visual Enhancer (SAVE, Transfer N, Hitspectra Intelligent Technology Co., Kaohsiung, Taiwan). The technique was developed by converting the WLI image captured by MACE to enhance SAVE images. The structural similarity index metric (SSIM) between the WLI MACE images and the enhanced SAVE images was 91%, while the entropy difference between the WLI MACE images and the enhanced SAVE images was only 0.47%. SAVE algorithm can identify the mucosal break on the esophagogastric junction in patients with gastroesophageal reflux disorder. We successfully developed a novel image-enhancing technique, SAVE, in the MACE system, showing close similarity to the NBI from the conventional endoscopy system. The future application of this novel technology in the MACE system can be promising.

Novel ultrasound capsule endoscopy for gastrointestinal scanning: An in vivo animal study.

Background and objectives: EUS is an important modality for diagnosis and assessment of gastrointestinal (GI) subepithelial lesions. However, EUS is invasive and operator-dependent and requires sedation in most cases. The newly developed ultrasound capsule endoscopy (USCE) system, with both white-light and ultrasound imaging modalities, is a minimally invasive method for superficial and submucosal imaging of the esophagus. This animal study aimed to evaluate the feasibility and efficacy of the USCE system for upper GI tract and small bowel scanning. Methods: Three Bama miniature pigs were selected to scan their esophagus, stomach, small bowel, and simulated submucosal lesions. USCE was performed first, followed by EUS. The feasibility of USCE was measured by obtaining ultrasound images of normal GI walls and submucosal lesions under the guidance of optical viewing. The efficacy of USCE was evaluated by comparing tissue structures and lesion features shown on ultrasound images obtained with both instruments. Results: Under the optical mode of USCE, the GI tract was well visualized, and all simulated lesions were located. Clear ultrasound images of normal GI tract and submucosal lesions were acquired. Ultrasound images of the esophagus, stomach, and small bowel were characterized by differentiated multilayer structures on USCE, which was consistent with the structures displayed on EUS. And the visualization of submucosal lesions, using both USCE and EUS, was characterized by a hypoechoic and well-demarcated mass in the layer of submucosa. Conclusions: This animal study indicated the feasibility and potential clinical efficacy of this USCE for simultaneous optical mucosal visualization and transmural ultrasound imaging of upper GI tract and small bowel, providing possibility of using this technology for a wider range of GI tract.

Clinical characteristics and long-term disease course in patients with Crohn's disease as diagnosed by video capsule endoscopy: a multicenter retrospective matched case-control study.

Background/Aims: Video capsule endoscopy is rarely used to diagnose Crohn's disease in patients with negative ileocolonoscopy or cross-sectional image findings. We evaluated clinical characteristics and long-term outcomes of these rare cases. Methods: This multicenter study included patients with Crohn's disease from 3 tertiary hospitals from January 2007 to October 2022. Patients with normal findings on ileocolonoscopy and computed tomography (CT)/magnetic resonance (MR) enterography but had ulcerations at the small bowel detected by video capsule endoscopy were included. The controls were patients with abnormal findings on endoscopy or CT/MR enterography. Controls were case-matched in a ratio of 3:1 for sex, calendar year of diagnosis, and age at diagnosis. Results: Among 3,752 patients, 24 (0.6%) were diagnosed with Crohn's disease using video capsule endoscopy findings. The disease location (P< 0.001) and behavior at diagnosis (P= 0.013) of the cases significantly differed from that of controls. The perianal fistula modifier (25.0% vs. 33.3%, P= 0.446) did not differ significantly between the 2 groups. Initial disease activity and C-reactive protein and fecal calprotectin levels were significantly lower in cases versus controls. The median Lewis score was 838 (interquartile range, 393-1,803). Over 10 years of follow-up, the cases showed significantly lower cumulative risk of complicated behavior, biologics use, Crohn's disease-related hospitalization, and surgeries (log-rank test P< 0.05). Conclusions: Patients with Crohn's disease whose lesions were observed only by video capsule endoscopy were rare, and exhibit different clinical characteristics and a more favorable long-term disease course compared to those who were conventionally diagnosed.

Deep Learning-Based Real-Time Organ Localization and Transit Time Estimation in Wireless Capsule Endoscopy.

BACKGROUND: Wireless capsule endoscopy (WCE) has significantly advanced the diagnosis of gastrointestinal (GI) diseases by allowing for the non-invasive visualization of the entire small intestine. However, machine learning-based methods for organ classification in WCE often rely on color information, leading to decreased performance when obstacles such as food debris are present. This study proposes a novel model that integrates convolutional neural networks (CNNs) and long short-term memory (LSTM) networks to analyze multiple frames and incorporate temporal information, ensuring that it performs well even when visual information is limited. METHODS: We collected data from 126 patients using PillCam™ SB3 (Medtronic, Minneapolis, MN, USA), which comprised 2,395,932 images. Our deep learning model was trained to identify organs (stomach, small intestine, and colon) using data from 44 training and 10 validation cases. We applied calibration using a Gaussian filter to enhance the accuracy of detecting organ boundaries. Additionally, we estimated the transit time of the capsule in the gastric and small intestine regions using a combination of a convolutional neural network (CNN) and a long short-term memory (LSTM) designed to be aware of the sequence information of continuous videos. Finally, we evaluated the model's performance using WCE videos from 72 patients. RESULTS: Our model demonstrated high performance in organ classification, achieving an accuracy, sensitivity, and specificity of over 95% for each organ (stomach, small intestine, and colon), with an overall accuracy and F1-score of 97.1%. The Matthews Correlation Coefficient (MCC) and Geometric Mean (G-mean) were used to evaluate the model's performance on imbalanced datasets, achieving MCC values of 0.93 for the stomach, 0.91 for the small intestine, and 0.94 for the colon, and G-mean values of 0.96 for the stomach, 0.95 for the small intestine, and 0.97 for the colon. Regarding the estimation of gastric and small intestine transit times, the mean time differences between the model predictions and ground truth were 4.3 ± 9.7 min for the stomach and 24.7 ± 33.8 min for the small intestine. Notably, the model's predictions for gastric transit times were within 15 min of the ground truth for 95.8% of the test dataset (69 out of 72 cases). The proposed model shows overall superior performance compared to a model using only CNN. CONCLUSIONS: The combination of CNN and LSTM proves to be both accurate and clinically effective for organ classification and transit time estimation in WCE. Our model's ability to integrate temporal information allows it to maintain high performance even in challenging conditions where color information alone is insufficient. Including MCC and G-mean metrics further validates the robustness of our approach in handling imbalanced datasets. These findings suggest that the proposed method can significantly improve the diagnostic accuracy and efficiency of WCE, making it a valuable tool in clinical practice for diagnosing and managing GI diseases.

The Role of Small-Bowel Capsule Endoscopy in the Diagnostic Algorithm of Complicated Perianal Disease.

INTRODUCTION: Complicated perianal disease (cPD) may be the sole presentation of Crohn's disease (CD). The role of small-bowel capsule endoscopy (SBCE) in the diagnostic algorithm of cPD is unclear. We aimed to evaluate the role of SBCE as a diagnostic tool, in patients with cPD, after a negative standard workup for CD. METHODS: A multicenter, retrospective, cross-sectional study, in patients with cPD, and negative standard workup for CD (ileocolonoscopy and cross-sectional imaging), who underwent SBCE for suspected CD. Demographics, biomarkers, and the Lewis Score (LS) were recorded and analyzed. An LS ≥ 135 was considered a positive SBCE for diagnosing CD. RESULTS: Ninety-one patients were included: 65 (71.4%) males; median age: 37 (29-51) years; cPD duration: 25.1 (12.5-66.1) months. Positive SBCE: 24/91 (26.4%) patients. Fecal calprotectin (FC) positively correlated with LS (r = 0.81; p < 0.001). FC levels of 100 µg/g and 50 µg/g had a sensitivity of only 40% and 55% to rule out small-bowel CD, with a negative predictive value (NPV) of only 76% and 80%, respectively. CONCLUSIONS: SBCE contributed to CD diagnosis in a quarter of patients with cPD after a negative standard workup. FC levels correlated with the degree of inflammation defined by the LS. However, the NPV of FC was low, suggesting that SBCE should be considered for patients with cPD even after a negative standard workup.

Implantable antennas for biomedical applications: a systematic review.

This review presents an in-depth examination of implantable antennas for various biomedical purposes. The development of implantable antennas, including their designs, materials, and operating principles, are introduced at the beginning of the discussion. An overview of the many kinds of implantable antennas utilized in implantable medical devices (IMDs) are presented in this study. The article then discusses the important factors to consider when developing implantable antennas for biomedical purposes, including implant placement, frequency range, and power needs. This investigation additionally examines the challenges and limitations encountered with implantable antennas, including the limited space available within the human body, the requirement for biocompatible materials, the impact of surrounding tissue on antenna performance, tissue attenuation, and signal interference. This review also emphasizes the most recent advances in implanted antenna technology, such as wireless power transmission, multiband operation, and miniaturization. Furthermore, it offers illustrations of several biomedical uses for implantable antennas, including pacemaker, capsule endoscopy, intracranial pressure monitoring, retinal prostheses, and bone implants. This paper concludes with a discussion of the future of implantable antennas and their possible use in bioelectronic medicine and novel medical implants. Overall, this survey offers a thorough analysis of implantable antennas in biomedical applications, emphasizing their importance in the development of implantable medical technology.

AI-KODA score application for cleanliness assessment in video capsule endoscopy frames.

BACKGROUND: Currently, there is no automated method for assessing cleanliness in video capsule endoscopy (VCE). Our objectives were to automate the process of evaluating and collecting medical scores of VCE frames according to the existing KOrea-CanaDA (KODA) scoring system by developing an easy-to-use mobile application called artificial intelligence-KODA (AI-KODA) score, as well as to determine the inter-rater and intra-rater reliability of the KODA score among three readers for prospective AI applications, and check the efficacy of the application. METHOD: From the 28 patient capsule videos considered, 1539 sequential frames were selected at five-minute intervals, and 634 random frames were selected at random intervals during small bowel transit. The frames were processed and shifted to AI-KODA. Three readers (gastroenterology fellows), who had been trained in reading VCE, rated 2173 frames in duplicate four weeks apart after completing the training module on AI-KODA. The scores were saved automatically in real time. Reliability was assessed for each video using estimate of intra-class correlation coefficients (ICCs). Then, the AI dataset was developed using the frames and their respective scores, and it was subjected to automatic classification of the scores via the random forest and the k-nearest neighbors classifiers. RESULTS: For sequential frames, ICCs for inter-rater variability were 'excellent' to 'good' among the three readers, while ICCs for intra-rater variability were 'good' to 'moderate'. For random frames, ICCs for inter-rater and intra-rater variability were 'excellent' among the three readers. The overall accuracy achieved was up to 61% for the random forest classifier and 62.38% for the k-nearest neighbors classifier. CONCLUSIONS: AI-KODA automates the process of scoring VCE frames based on the existing KODA score. It saves time in cleanliness assessment and is user-friendly for research and clinical use. Comprehensive benchmarking of the AI dataset is in process.

Small Bowel Bleeding Caused by a Small Bowel Lipoma in a Patient with Hemodialysis.

Introduction: Small bowel bleeding is being diagnosed with increasing frequency with the development of capsule endoscopy. Case Presentation: We report a case of lipoma that caused hematochezia in an 80-year-old woman with ischemic heart disease receiving antiplatelet therapy and on hemodialysis for renal failure. Contrast-enhanced computed tomography scans, esophagogastroduodenoscopy, and colonoscopy failed to identify the source of hematochezia. Capsule endoscopy revealed a small bowel tumor, which was removed through laparoscopic surgery without interruption of antiplatelet agents. The small bowel tumor was pathologically diagnosed as a lipoma. There was no recurrence of the hematochezia after surgery. Conclusion: Lipomas could cause hematochezia. With appropriate preoperative testing, comorbidity assessment, and surgical planning, we believe that surgical resection is a safe treatment option for the removal of small bowel lipomas even in patients who are on hemodialysis or are taking antiplatelet agents.

Laparoscopic-Assisted Removal of Two Video Capsule Endoscopy Cameras Retained for More Than Two Years.

Video capsule endoscopy (VCE) is used to evaluate the gastrointestinal tract, particularly the small bowel for obscure bleeding, Crohn's disease, and tumors. A rare complication of VCE is the retention of the pill camera. With the expanding use of VCE, it's important to consider the pathology that may lead to retention and approach to treatment. VCE for subacute or intermittent bowel obstruction is considered a contraindication due to the increased risk of retention, however, it may also identify significant pathology. Capsule retention should be treated promptly to prevent complications such as acute small bowel obstruction (SBO) and perforation. This case describes a 51-year-old female who presented with retention of two VCE cameras in the bowel for multiple years. She had intermittent abdominal pain and partial SBOs before the retention. She underwent a successful laparoscopic-assisted surgery removing the two endoscopy cameras and resection of the stenosed small bowel. This case sheds light on the challenges and opportunities in the management of VCE and capsule retention.