A Review of Colonoscopy in Intestinal Diseases

Efficacy of water infusion combined with defoamers in colonoscopy

BACKGROUND

Currently, colonoscopy still needs continuous optimization and exploration of novel alternative approaches to enhance the experience of patients during colonoscopy.

AIM

To analyze the efficacy of water infusion combined with defoamers in colonoscopy.

METHODS

This study included 97 patients undergoing colonoscopy from January 2024 to June 2024. The participants were categorized into two groups, namely, the control group (n = 47), who underwent conventional colonoscopy, and the experimental group (n = 50), who received colonoscopy using water injection combined with defoamers. A comparative analysis was then conducted on the disease detection rate (colonic polyps, colonorrhagia, colonic ulcers, colonic mucosal lesions, and others), colonoscopy duration, abdominal pain [visual analog scale (VAS)], Boston bowel preparation scale (BBPS), self-rating anxiety scale (SAS), bowel preparation comfort, complications (intestinal perforation, bleeding, nausea and vomiting, abdominal pain, and abdominal distension), and patient satisfaction.

RESULTS

The experimental group demonstrated a significantly higher total disease detection rate, BBPS scores, and patient satisfaction compared with the control group. Further, the research group exhibited shorter colonoscopy duration, lower VAS and SAS scores and total complication rate, and better patient comfort and satisfaction.

CONCLUSION

These results indicate that the combination of water injection and defoamers exhibited an overall better therapeutic effect than conventional colonoscopy, mainly reflected in higher disease detection rate, faster examination efficiency, lower abdominal pain, anxiety, and complication incidences, and significantly better bowel preparation, comfort, and patient satisfaction.

Management of gastrointestinal bleed in the intensive care setting, an updated literature review

Gastrointestinal (GI) bleeding is a critical and potentially life-threatening condition frequently observed in the intensive care unit (ICU). This literature review consolidates current insights on the epidemiology, etiology, management, and outcomes of GI bleeding in critically ill patients. GI bleeding remains a significant concern, especially among patients with underlying risk factors such as coagulopathy, mechanical ventilation, and renal failure. Managing GI bleeding in the ICU requires a multidisciplinary approach, including resuscitation, endoscopic intervention, pharmacologic therapy, and sometimes surgical procedures. Even with enhanced management strategies, GI bleeding in the ICU is associated with considerable morbidity and mortality, particularly when complicated by multi-organ failure. This review reiterates the need for adequate resuscitation and interventions in managing GI bleeding in critically ill patients, aiming to enhance survival rates and improve the quality of care within the ICU setting.

Efficacy of Lactobacillus reuteri Probiotic in the Bowel Preparation Regimen of Children Candidates for Colonoscopy

Objective

Bowel preparation can directly affect the final outcome of a colonoscopy. However, limited studies have been conducted regarding the effect of probiotics on intestinal preparation. Thus, the present study aims to investigate the effect of Lactobacillus reuteri probiotics in the bowel preparation regimen of children who are candidates for colonoscopy.

Methods and Materials

In this double-blind, placebo-controlled, randomized clinical trial, 84 colonoscopy candidate pediatric patients were enrolled. Patients were divided into two equal groups of 42 individuals. One group of patients underwent the bisacodyl, polyethylene glycol regimen 48 h before colonoscopy, as along with a placebo. The other group was administered L. reuteri 10 days before colonoscopy and also received bisacodyl and polyethylene glycol 48 h before the procedure. Then, the bowel preparation of the patients was assessed using the Boston Bowel Preparation Scale (BBPS).

Results

The mean age of patients in the placebo and probiotic groups was 94.1 ± 43.8 and 111.2 ± 48.8 months, respectively (p = 0.10). The preparation of the left colon was not significantly different between the placebo and probiotic groups (p = 0.075). The effect of L. reuteri probiotic on the preparation of the right colon was excellent in 18 patients (42.86%) and good in 17 patients (40.47%). The preparation of the right colon was significantly different between the placebo and probiotic groups (p = 0.007). Based on the results, there was a significant association between the consumption of L. reuteri and placebo in the preparation of the transverse colon (p = 0.015).

Conclusion

Probiotic pretreatment as part of bowel preparation significantly improves visualization of the colonic mucosa during colonoscopy.

Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing

BACKGROUND

Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. However, this approach can sometimes result in the misinterpretation of amebiasis as other gastroenteritis (GE) conditions. The goal of the work is to produce a machine learning (ML) model that uses laboratory findings and demographic information to automatically predict amebiasis.

METHOD

Data extracted from Jordanian electronic medical records (EMR) between 2020 and 2022 comprised 763 amebic cases and 314 nonamebic cases. Patient demographics, clinical signs, microscopic diagnoses, and leukocyte counts were used to train eight decision tree algorithms and compare their accuracy of predictions. Feature ranking and correlation methods were implemented to enhance the accuracy of classifying amebiasis from other conditions.

RESULTS

The primary dependent variables distinguishing amebiasis include the percentage of neutrophils, mucus presence, and the counts of red blood cells (RBCs) and white blood cells (WBCs) in stool samples. Prediction accuracy and precision ranged from 92% to 94.6% when employing decision tree classifiers including decision tree (DT), random forest (RF), XGBoost, AdaBoost, and gradient boosting (GB). However, the optimized RF model demonstrated an area under the curve (AUC) of 98% for detecting amebiasis from laboratory data, utilizing only 300 estimators with a max depth of 20. This study highlights that amebiasis is a significant health concern in Jordan, responsible for 17.22% of all gastroenteritis episodes in this study. Male sex and age were associated with higher incidence of amebiasis (P = 0.014), with over 25% of cases occurring in infants and toddlers.

CONCLUSIONS

The application of ML to EMR can accurately predict amebiasis. This finding significantly contributes to the emerging use of ML as a decision support system in parasitic disease diagnosis.

A Precessing-Coin-like Rotary Actuator for Distal Endoscope Scanners: Proof-of-Concept Study

This paper presents, for the first time, a rotary actuator functionalized by an inclined disc rotor that serves as a distal optical scanner for endoscopic probes, enabling side-viewing endoscopy in luminal organs using different imaging/analytic modalities such as optical coherence tomography and Raman spectroscopy. This scanner uses a magnetic rotor designed to have a mirror surface on its backside, being electromagnetically driven to roll around the cone-shaped hollow base to create a motion just like a precessing coin. An optical probing beam directed from the probe's optic fiber is passed through the hollow cone to be incident and bent on the back mirror of the rotating inclined rotor, circulating the probing beam around the scanner for full 360° sideway imaging. This new scanner architecture removes the need for a separate prism mirror and holding mechanics to drastically simplify the scanner design and thus, potentially enhancing device miniaturization and reliability. The first proof-of-concept is developed using 3D printing and experimentally analyzed to reveal the ability of both angular stepping at 45° and high-speed rotation up to 1500 rpm within the biologically safe temperature range, a key function for multimodal imaging. Preliminary optical testing demonstrates continuous circumferential scanning of the laser beam with no blind spot caused by power leads to the actuator. The results indicate the fundamental feasibility of the developed actuator as an endoscopic distal scanner, a significant step to further development toward advancing optical endoscope technology.

ELW-CNN: An extremely lightweight convolutional neural network for enhancing interoperability in colon and lung cancer identification using explainable AI

Cancer is a condition in which cells in the body grow uncontrollably, often forming tumours and potentially spreading to various areas of the body. Cancer is a hazardous medical case in medical history analysis. Every year, many people die of cancer at an early stage. Therefore, it is necessary to accurately and early identify cancer to effectively treat and save human lives. However, various machine and deep learning models are effective for cancer identification. Therefore, the effectiveness of these efforts is limited by the small dataset size, poor data quality, interclass changes between lung squamous cell carcinoma and adenocarcinoma, difficulties with mobile device deployment, and lack of image and individual-level accuracy tests. To overcome these difficulties, this study proposed an extremely lightweight model using a convolutional neural network that achieved 98.16% accuracy for a large lung and colon dataset and individually achieved 99.02% for lung cancer and 99.40% for colon cancer. The proposed lightweight model used only 70 thousand parameters, which is highly effective for real-time solutions. Explainability methods such as Grad-CAM and symmetric explanation highlight specific regions of input data that affect the decision of the proposed model, helping to identify potential challenges. The proposed models will aid medical professionals in developing an automated and accurate approach for detecting various types of colon and lung cancer.

Ex Vivo Evaluation of a Soft Optical Blood Sensor for Colonoscopy

Colonoscopies are vital procedures allowing diagnosis of colorectal cancer and other gastrointestinal diseases. However, excessive forces may be applied to the colon during navigation. This can cause bleeding, especially in patients presenting inflammatory bowel diseases. The endoscopist is often unable to detect bleeding as visualization is limited to the distal tip camera of the endoscope. Thus, there is a need to have bleeding detection capabilities behind the device tip. This work presents a soft optical blood sensor that can be mounted onto a colonoscope. The presence of blood in the sensor's microchannel causes a reduction in optical transmission, and the endoscopist is alerted. We evaluate the sensor safety and performance ex vivo with a cohort of 10 endoscopists (novices and experts). We demonstrate the ability of the sensor to rapidly identify bleeding and easily integrate into the clinical workflow, without significantly affecting navigation time and the users' learning curve.

Diagnostic Procedures for Inflammatory Bowel Disease: Laboratory, Endoscopy, Pathology, Imaging, and Beyond

Diagnosing inflammatory bowel disease (IBD) can often be challenging, and differentiating between Crohn's disease and ulcerative colitis can be particularly difficult. Diagnostic procedures for IBD include laboratory tests, endoscopy, pathological tests, and imaging tests. Serological and stool tests can be easily performed in an outpatient setting and provide critical diagnostic clues. Although endoscopy is an invasive procedure, it offers essential diagnostic information and allows for tissue biopsy and therapeutic procedures. Video capsule endoscopy and device-assisted enteroscopy are endoscopic procedures used to evaluate the small bowel. In addition to endoscopy, magnetic resonance imaging, computed tomography, and ultrasound (US) are valuable tools for small bowel assessment. Among these, US is noninvasive and easily utilized, making its use highly practical in daily clinical practice. Endoscopic biopsy aids in the diagnosis of IBD and is crucial for assessing the histological activity of the disease, facilitating a thorough evaluation of disease remission, and aiding in the development of treatment strategies. Recent advances in artificial intelligence hold promise for enhancing various aspects of IBD management, including diagnosis, monitoring, and precision medicine. This review compiles current procedures and promising future tools for the diagnosis of IBD, providing comprehensive insights.

Role of Artificial Intelligence in Endoscopic Intervention: A Clinical Review

Gastrointestinal diseases are increasing in global prevalence. As a result, the contribution to both mortality and healthcare costs is increasing. While interventions utilizing scoping techniques or ultrasound are crucial to both the timely diagnosis and management of illness, a few limitations are associated with these techniques. Artificial intelligence, using computerized diagnoses, deep learning systems, or neural networks, is increasingly being employed in multiple aspects of medicine to improve the characteristics and outcomes of these tools. Therefore, this review aims to discuss applications of artificial intelligence in endoscopy, colonoscopy, and endoscopic ultrasound.

Endoscopy of Low BMI Patients Compared to Normal BMI Patients: A Study From the Aseer Region, Saudi Arabia

Gastrointestinal (GI) endoscopies are essential for detecting and treating various digestive tract problems. While typically safe, these treatments can entail the risk of severe adverse events (SAEs), especially in individuals with a low body mass index (BMI). The current study aimed to evaluate whether post-endoscopy SAEs are more common in patients with low BMI and find risk factors for serious adverse outcomes in Saudi Arabian patients from Khamis Mushait, Aseer region, Saudi Arabia. The data of 398 adult patients with abdominal endoscopies between April and November 2023 were analyzed. Patients were divided into two groups: low BMI (BMI ≤ 18.5) and control (18.5 ≤ BMI ≤ 30). They were matched for age, gender, comorbidities, endoscopy type, and other pertinent characteristics. Low-BMI patients (Group I, n = 108) were substantially younger and had lower levels of albumin and total protein than the control group (Group II, n = 209). Comorbidities varied between groups, with diabetes mellitus more prevalent in Group II and inflammatory bowel disease (IBD) more commonplace in Group I. Treatment options also differed, with Group I receiving more biological treatments, steroids, and feeding tubes. Endoscopic procedures and indications were comparable among groups, with no significant variations in post-endoscopy complications. The endoscopy results varied from gastritis to colon malignancy, with no SAEs recorded in either group. Unlike earlier findings, this study found no higher incidence of SAEs in low-BMI individuals having abdominal endoscopy. This might be because of the restricted guidelines of different medical authorities, including clear informed consent that illustrates any risks, benefits, alternatives, sedation plan, and potential diagnostic or therapeutic interventions. Also, professional endoscopists and consultants who ensure adequate visualization of the GI mucosa, using mucosal cleansing and insufflation as necessary, should avoid any risk of abdominal hemorrhage. These findings highlight the significance of personalized risk assessment and pre-procedural optimization, including nutritional assistance, in this patient population. More prospective research with larger sample sizes is needed to validate these findings and create targeted techniques for improving outcomes in individuals with a low BMI having endoscopic operations.

Amoebic colitis-A diagnostic challenge on endoscopy: Case report

Amoebic colitis remains a diagnostic challenge on colonoscopy given that its features resemble that of inflammatory bowel disease. We describe a similar case of a 66 years old male patient with multiple comorbidities including morbid obesity, end-stage renal disease requiring haemodialysis, IHD with PCI, T2DM, HTN and new onset dry cough for which he received a short course of steroids. He presented to the colorectal clinic with bleeding and mucus discharge per-rectum with no other symptoms related to bowel and non-specific colonoscopy findings with amoebic colitis only confirmed on histological diagnosis. The patient was commenced on a course of Metronidazole and followed up on first and sixth month after treatment where he remained well and reported no further symptoms.

Mexican consensus on cow's milk protein allergy

BACKGROUND

The aim of this study is to present the current views of a diverse group of experts on the diagnosis and treatment of Cow's Milk Protein Allergy (CMPA) in children under 2 years of age in Mexico.

MATERIAL AND METHODS

The study, led by a scientific committee of five experts in CMPA, was divided into six phases, including a modified Delphi process. A total of 20 panelists, all of whom were pediatric specialists, participated in administering a comprehensive 38-item questionnaire. The questionnaire was divided into two blocks: Diagnosis and Treatment (20 items each).

RESULTS

Consensus was reached on all the proposed items, with an agreement rate of over 70% for each of them. As a result, a diagnostic and treatment algorithm was developed that emphasized the reduction of unnecessary diagnostic studies and encouraged breastfeeding whenever possible. In cases where breast milk is not available, appropriate use of hypoallergenic formulas was recommended. In addition, recommendations on treatment duration and gradual reintroduction of cow's milk protein were provided.

CONCLUSIONS

The recommendations endorsed by 20 Mexican pediatricians through this study are applicable to everyday clinical practice, thereby enhancing the diagnosis and treatment of children under 2 years of age with CMPA. This, in turn, will foster improved health outcomes and optimize the utilization of healthcare resources.

Clinical value of the Toronto inflammatory bowel disease global endoscopic reporting score in ulcerative colitis

BACKGROUND

Endoscopic evaluation in diagnosing and managing ulcerative colitis (UC) is becoming increasingly important. Several endoscopic scoring systems have been established, including the Ulcerative Colitis Endoscopic Index of Severity (UCEIS) score and Mayo Endoscopic Subscore (MES). Furthermore, the Toronto Inflammatory Bowel Disease Global Endoscopic Reporting (TIGER) score for UC has recently been proposed; however, its clinical value remains unclear.

AIM

To investigate the clinical value of the TIGER score in UC by comparing it with the UCEIS score and MES.

METHODS

This retrospective study included 166 patients with UC who underwent total colonoscopy between January 2017 and March 2023 at the Affiliated Hospital of Qingdao University (Qingdao, China). We retrospectively analysed endoscopic scores, laboratory and clinical data, treatment, and readmissions within 1 year. Spearman's rank correlation coefficient, receiver operating characteristic curve, and univariate and multivariable logistic regression analyses were performed using IBM SPSS Statistics for Windows, version 26.0 (IBM Corp., Armonk, NY, United States) and GraphPad Prism version 9.0.0 for Windows (GraphPad Software, Boston, Massachusetts, United States).

RESULTS

The TIGER score significantly correlated with the UCEIS score and MES (r = 0.721, 0.626, both P < 0.001), showed good differentiating values for clinical severity among mild, moderate, and severe UC [8 (4-112.75) vs 210 (109-219) vs 328 (219-426), all P < 0.001], and exhibited predictive value in diagnosing patients with severe UC [area under the curve (AUC) = 0.897, P < 0.001]. Additionally, the TIGER (r = 0.639, 0,551, 0.488, 0.376, all P < 0.001) and UCEIS scores (r = 0.622, 0,540, 0.494, and 0.375, all P < 0.001) showed stronger correlations with laboratory and clinical parameters, including C-reactive protein, erythrocyte sedimentation rate, length of hospitalisation, and hospitalisation costs, than MES (r = 0.509, 0,351, 0.339, and 0.270, all P < 0.001). The TIGER score showed the best predictability for patients' recent advanced treatment, including systemic corticosteroids, biologics, or immunomodulators (AUC = 0.848, P < 0.001) and 1-year readmission (AUC = 0.700, P < 0.001) compared with the UCEIS score (AUC = 0.762, P < 0.001; 0.627, P < 0.05) and MES (AUC = 0.684, P < 0.001; 0.578, P = 0.132). Furthermore, a TIGER score of ≥ 317 was identified as an independent risk factor for advanced UC treatment (P = 0.011).

CONCLUSION

The TIGER score may be superior to the UCIES score and MES in improving the accuracy of clinical disease severity assessment, guiding therapeutic decision-making, and predicting short-term prognosis.