Pan-Enteric Capsule Endoscopy: Current Applications and Future Perspectives.

Background: The role of capsule endoscopy in the evaluation of the small bowel is well established, and current guidelines position it as a first-line test in a variety of clinical scenarios. The advent of double-headed capsules further enabled the endoscopic assessment of colonic mucosa and the opportunity for a one-step noninvasive examination of the entire bowel (pan-enteric capsule endoscopy [PCE]). Summary: We reviewed the technical procedure and preparation of patients for PCE, as well as its current clinical applications and future perspectives. In non-stricturing and non-penetrating Crohn's disease affecting the small bowel and colon, PCE monitors disease activity by assessing mucosal healing, a major treatment outcome, with a higher diagnostic yield than cross-sectional imaging or conventional colonoscopy. Also in ulcerative colitis, double-headed capsules have been used to monitor disease activity noninvasively. Currently, validated scoring systems have been specifically devised for these double-headed capsules and permit a standardized assessment of the inflammatory burden. In suspected mid-lower digestive bleeding, some exploratory studies have demonstrated the feasibility and high diagnostic yield of PCE, which may work as a filter indicating which patients may benefit of further invasive procedures, namely, for planned hemostatic procedures. The possibility of using PCE is also discussed in the context of polyposis syndromes with simultaneous involvement of the small intestine and colon. Key Messages: PCE is a feasible, effective, and safe diagnostic procedure to evaluate the small bowel and colon. It has been increasingly explored in the setting of inflammatory bowel diseases and, more recently, in suspected mid-lower digestive bleeding. PCE is expected to reduce the demand for invasive procedures and expand the scope of noninvasive intestinal evaluation in the coming future.

Introdução: O papel da endoscopia por cápsula na avaliação do intestino delgado encontra-se bem estabelecido, e as orientações atuais posicionam-na como um teste de primeira linha numa variedade de cenários clínicos. O advento das cápsulas de dupla câmara permitiu expandir a sua aplicação para a avaliação endoscópica da mucosa do cólon, oferecendo a oportunidade de um exame não invasivo de todo o intestino (endoscopia pan-entérica por cápsula, PCE). Sumário: Procedemos a uma revisão de vários aspectos do procedimento e preparação dos doentes para a PCE, bem como as aplicações clínicas atuais e as perspetivas futuras das cápsulas de dupla câmara. Na doença de Crohn não estenosante e não penetrante localizada ao intestino delgado e cólon, a PCE permite monitorizar a atividade da doença e avaliar a cicatrização da mucosa, um indicador importante da eficácia da terapêutica, com um rendimento de diagnóstico superior aos métodos convencionais, nomeadamente os exames imagiológicos ou a colonoscopia invasiva. Também na colite ulcerosa, as cápsulas de dupla câmara têm sido utilizadas para monitorizar a atividade da doença de forma não invasiva. Existem índices endoscópicos validados e especificamente concebidos para as cápsulas de dupla câmara, que permitem uma avaliação sistematizada e quantificação objetiva da atividade inflamatória. Na suspeita de hemorragia digestiva média ou baixa, alguns estudos exploratórios demonstraram a aplicabilidade e o elevado rendimento diagnóstico da PCE, podendo funcionar como um filtro de modo a permitir indicar quais os doentes que mais irão beneficiar de um procedimento invasivo subsequente, nomeadamente para a realização de procedimentos hemostáticos dirigidos. A possibilidade de utilização da PCE é também discutida no contexto das síndromes de polipose com envolvimento simultâneo do intestino delgado e do cólon. Mensagens-chave: A PCE é um procedimento diagnóstico eficaz e seguro para avaliar diretamente a mucosa do intestino delgado e cólon. A sua aplicação tem vindo a expandir-se no contexto das Doenças Inflamatórias Intestinais e, mais recentemente, na suspeita de hemorragia digestiva média ou baixa. Existe a expectativa de que no futuro próximo possamos assistir a uma redução substancial da demanda por procedimentos endoscópicos invasivos, face à utilização crescente da PCE enquanto método de diagnóstico pan-intestinal não invasivo.

Artificial Intelligence and Panendoscopy-Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy.

Device-assisted enteroscopy (DAE) is capable of evaluating the entire gastrointestinal tract, identifying multiple lesions. Nevertheless, DAE's diagnostic yield is suboptimal. Convolutional neural networks (CNN) are multi-layer architecture artificial intelligence models suitable for image analysis, but there is a lack of studies about their application in DAE. Our group aimed to develop a multidevice CNN for panendoscopic detection of clinically relevant lesions during DAE. In total, 338 exams performed in two specialized centers were retrospectively evaluated, with 152 single-balloon enteroscopies (Fujifilm®, Porto, Portugal), 172 double-balloon enteroscopies (Olympus®, Porto, Portugal) and 14 motorized spiral enteroscopies (Olympus®, Porto, Portugal); then, 40,655 images were divided in a training dataset (90% of the images, n = 36,599) and testing dataset (10% of the images, n = 4066) used to evaluate the model. The CNN's output was compared to an expert consensus classification. The model was evaluated by its sensitivity, specificity, positive (PPV) and negative predictive values (NPV), accuracy and area under the precision recall curve (AUC-PR). The CNN had an 88.9% sensitivity, 98.9% specificity, 95.8% PPV, 97.1% NPV, 96.8% accuracy and an AUC-PR of 0.97. Our group developed the first multidevice CNN for panendoscopic detection of clinically relevant lesions during DAE. The development of accurate deep learning models is of utmost importance for increasing the diagnostic yield of DAE-based panendoscopy.

The Future of Minimally Invasive Capsule Panendoscopy: Robotic Precision, Wireless Imaging and AI-Driven Insights.

In the early 2000s, the introduction of single-camera wireless capsule endoscopy (CE) redefined small bowel study. Progress continued with the development of double-camera devices, first for the colon and rectum, and then, for panenteric assessment. Advancements continued with magnetic capsule endoscopy (MCE), particularly when assisted by a robotic arm, designed to enhance gastric evaluation. Indeed, as CE provides full visualization of the entire gastrointestinal (GI) tract, a minimally invasive capsule panendoscopy (CPE) could be a feasible alternative, despite its time-consuming nature and learning curve, assuming appropriate bowel cleansing has been carried out. Recent progress in artificial intelligence (AI), particularly in the development of convolutional neural networks (CNN) for CE auxiliary reading (detecting and diagnosing), may provide the missing link in fulfilling the goal of establishing the use of panendoscopy, although prospective studies are still needed to validate these models in actual clinical scenarios. Recent CE advancements will be discussed, focusing on the current evidence on CNN developments, and their real-life implementation potential and associated ethical challenges.

Impacts of smoking on oral health-what is the role of the dental team in smoking cessation?

DATA SOURCES: Electronic searches were conducted on databases (PubMed, EMBASE, and Google Scholar). In addition, websites of national organisations (US Food and Drug Administration, National Cancer Institute, Centres for Disease Control and Prevention, American Dental Association, Office of Disease Prevention and Health Promotion, National Institute on Drug Abuse, Agency for Healthcare Research and Quality) were also searched. STUDY SELECTION: To achieve the objectives of the study, systematic reviews, controlled clinical trials, and observational studies published between October 2021 and February 2022 were considered. DATA EXTRACTION AND SYNTHESIS: This narrative review included articles which investigated the role of Dentistry professionals and their impact on smoking cessation and the effects resulting from tobacco use on oral health. RESULTS: The review revealed that smokers have a significantly higher likelihood of developing oral cancer (95% CI: 3.19-6.77) compared to non-smokers. Passive smokers also have an increased risk (1.51 times) of developing oral cancer (95% CI: 1.20-1.91). Additionally, smokers have an 80% increased risk of periodontitis (RR = 1.82; 95% CI: 1.43-2.31), an 85% worsened periodontal condition (RR = 1.85; 95% CI: 1.5-2.2), and a 36.6% increase in caries prevalence (OR = 1.84; 95% CI: 1.64-2.07). Smoking is also associated with a higher potential for dental implant failure in a dose-dependent manner. Brief educational interventions by the dental team resulted in a smoking cessation rate of 74/1000 individuals versus 27/1000 individuals in the control group. When combined with pharmacological therapy, these interventions may lead to an additional 50 to 70% increase in long-term smoking abstinence. CONCLUSIONS: Smoking is strongly linked to an increased risk of oral cancer, dental caries, implant failure, and periodontal disease. Dental teams play a vital role in identifying and addressing oral pathologies related to smoking and providing necessary care for smoking cessation. Brief educational interventions, either alone or in combination with pharmacotherapy, offer valuable approaches for the dental team to support smoking cessation. However, establishing a comprehensive training and continuing education program is crucial to integrate dental professionals into a multidisciplinary smoking cessation program.

Spleen stiffness: a new tool to predict high-risk varices in cirrhotic patients.

INTRODUCTION: Cirrhosis is one of the major causes of morbidity and mortality worldwide. Portal hypertension is the major contributor of cirrhosis-related complications and is defined as a hepatic venous pressure gradient (HVPG) > 5 mmHg. Measurement of HVPG is an invasive, difficult, and costly procedure. Therefore, it is only performed in specialized centers. Liver stiffness measured with transient elastography is one of the most studied noninvasive markers of portal hypertension, and spleen elastography has recently emerged as an important adjuvant tool. The development of a new probe (100 Hz) that more reliably reflect the grade of portal hypertension evaluated by spleen stiffness measurement has improved the accuracy of this technique. The aim of this work was to evaluate the accuracy of spleen stiffness with the new dedicated probe to predict the presence of high-risk varices, as well as to determine the ideal cutoff to predict it. METHODS: Prospective study of cirrhotic patients admitted to upper endoscopy that were also submitted to liver and spleen elastography with the 100-Hz probe by the same blinded operator in a tertiary center. RESULTS: We included 209 cirrhotic patients, with mean age of 61.9 years (±9.9), 77.0% male. The most common etiology was alcoholic liver disease (72.7%). The median value of liver elastography was 25.3 [4.5-75] kPa, and the median value of spleen elastography was 42.4 [7.6-100] kPa. At the cutoff of 53.25 kPa, we obtained sensitivity of 100% and specificity of 72.6% to predict high-risk varices, and, according to this cutoff, 133/175 of esophagogastroduodenoscopy could have been spared (76.0%), while according to Baveno guidelines, only 51/175 would have been spared (29.1%). CONCLUSION: In the era of noninvasive exams, spleen elastography with the 100-Hz probe emerges as an excellent tool for prediction of presence of high-risk varices. At the cutoff of 53.25 kPa, spleen elastography avoids upper endoscopy for screening for high-risk varices, promising to be become part of the hepatologists' daily routine.

Clinicopathological characteristics and prognostic factors of small bowel lymphomas: a retrospective single-center study.

Background: There is little information on diagnosis and management of small bowel lymphomas, and optimal management strategies are still undefined. This study aims to describe their main clinical and pathological characteristics and identify poor prognostic factors. Methods: A retrospective observational study of all patients with histological diagnosis of small bowel lymphoma between January 2010 and December 2020 was performed. Results: We included 40 patients, with male predominance (60%) and mean age of 60.7 years. The ileum was the most common location, and the most common histological subtypes were follicular lymphoma and diffuse large B-cell lymphoma. Clinical presentation was variable from asymptomatic patients (30%) to acute surgical complications (35%) including perforation, intestinal obstruction, ileal intussusception, or severe bleeding. Diagnosis was established by endoscopy in 22 patients (55%), and the most common findings included polyps, single mass, diffuse infiltration, or ulceration, whereas 18 (45%) required surgery because of acute presentations or tumor resection, and lymphoma was diagnosed postoperatively. Surgery was curative in one-third of those patients. Median survival was 52 months. Acute presentation (P = 0.001), symptomatic disease (P = 0.003), advanced stage (P = 0.008), diffuse large B-cell lymphoma (P = 0.007), anemia (P = 0.006), hypoalbuminemia (P < 0.001), elevated lactate dehydrogenase (P = 0.02), elevated C-reactive protein (P < 0.001), and absence of treatment response (P < 0.001) were significant predictors of mortality. Conclusion: Small bowel lymphoma is a rare malignancy with diverse clinical and endoscopic presentations that require a high index of suspicion. Primary factors associated with worse outcome included acute presentation, advanced stage, histological subtype, biochemical abnormalities, and absence of treatment response.

A modified tunnel technique to treat multiple gingival recessions: Case Series

Abstract This case series reports a modified tunnel technique with connective tissue graft for the root coverage of multiple Miller Class I, II, and III gingival recessions. The modified approach presents an innovative suture technique to improve the stability and position of the graft. Ten patients with multiple gingival recessions (n=85 teeth) received surgical root coverage treatment. The gingival recession height and width were measured and presented as median, minimum, and maximum values. The percentage of the root coverage after at least 12 months expressed the treatment effectiveness. The Shapiro-Wilk test evaluated the normality; pared Wilcoxon test determined the exact P-value for the differences in the height of the gingival recession before and after surgical treatment (α = 0.05). An average of 97.9% (± 5.6%, p < 0.0001) root coverage after treatment occurred, and 73 out of 85 recessions presented complete root coverage after 12 months. Treatment of Miller class I and II gingival recessions resulted in root coverage higher than 99 and class III higher than 95% (p < 0.0001). The presented case series report the efficacy of a modified surgical technique promoting more than 95% of root coverage after 12 months in multiple Miller Class I, II, and III gingival recessions. Well-designed blind randomized controlled trials are needed to validate the proposed technique.

Resumo Esta série de casos relata uma técnica de túnel modificada com enxerto de tecido conjuntivo para o recobrimento radicular de múltiplas recessões gengivais Classe I, II e III de Miller. A abordagem modificada apresenta uma técnica de sutura inovadora para melhorar a estabilidade e a posição do enxerto. Dez pacientes com múltiplas recessões gengivais (n=85 dentes) receberam tratamento cirúrgico de recobrimento radicular. A altura e a largura da recessão gengival foram mensuradas e apresentadas como valores medianos, mínimos e máximos. A eficácia do tratamento foi expressa como uma porcentagem da cobertura radicular após pelo menos 12 meses. O teste de Shapiro-Wilk avaliou a normalidade; o teste de Wilcoxon pared determinou o valor P exato para as diferenças entre a altura da recessão gengival antes e após o tratamento cirúrgico (α = 0,05). Uma média de 97,9% (± 5,6%, p < 0,0001) de cobertura radicular após o tratamento ocorreu, e 73 das 85 recessões apresentaram cobertura radicular completa após 12 meses. O tratamento das recessões gengivais classe I e II de Miller resultou em recobrimento radicular superior a 99 e classe III superior a 95% (p < 0,0001). A série de casos apresentada relata a eficácia de uma técnica cirúrgica modificada promovendo mais de 95% de cobertura radicular após 12 meses em múltiplas recessões gengivais Classe I, II e III de Miller. Ensaios controlados randomizados cegos bem desenhados são necessários para validar a técnica proposta.

Liver biopsy in inflammatory bowel disease patients with sustained abnormal liver function tests: a retrospective single-center study.

Background: Inflammatory bowel disease (IBD) may be associated with a wide range of hepatobiliary manifestations. This study aimed to characterize the spectrum of hepatobiliary disorders in patients with IBD who underwent liver biopsy for sustained abnormal liver function tests (LFT). Method: A retrospective study was performed of all patients with IBD who underwent liver biopsy between January 2010 and December 2020 for sustained abnormal LFT (at least 6-month duration). Results: A total of 101 patients were included, mostly male (62.4%), with a mean age of 44.4±13.3 years. The most common IBD type was Crohn's disease (61.4%). Median time interval between abnormal LFT and biopsy was 14 (7-36) months. Abnormal LFT was predominantly hepatocellular in 40 patients (39.6%), cholestatic in 26 (25.7%) and mixed in 35 (34.7%). The most frequent diseases were nonalcoholic fatty liver disease (NAFLD) in 33 patients (32.7%), drug-induced liver disease (DILI) in 30 (29.7%), autoimmune hepatitis (AIH) in 13 (12.9%) and primary sclerosing cholangitis (PSC) in 13 (12.9%). Three patients had primary biliary cholangitis. Remarkably, 70 patients (69.3%) already had fibrosis by the time of liver biopsy and in 6 (5.9%) liver disease was already detected in the stage of cirrhosis. Conclusions: Abnormal LFT in IBD patients had a wide range of etiologies and histology was often essential for reaching a correct diagnosis. NAFLD, DILI, AIH and PSC were the most common diagnoses and patients often presented in cirrhotic stage. Therefore, liver biopsy must be considered early in IBD patients with unexplained sustained abnormal LFT.

Deep-Learning and Device-Assisted Enteroscopy: Automatic Panendoscopic Detection of Ulcers and Erosions.

Background and Objectives: Device-assisted enteroscopy (DAE) has a significant role in approaching enteric lesions. Endoscopic observation of ulcers or erosions is frequent and can be associated with many nosological entities, namely Crohn's disease. Although the application of artificial intelligence (AI) is growing exponentially in various imaged-based gastroenterology procedures, there is still a lack of evidence of the AI technical feasibility and clinical applicability of DAE. This study aimed to develop and test a multi-brand convolutional neural network (CNN)-based algorithm for automatically detecting ulcers and erosions in DAE. Materials and Methods: A unicentric retrospective study was conducted for the development of a CNN, based on a total of 250 DAE exams. A total of 6772 images were used, of which 678 were considered ulcers or erosions after double-validation. Data were divided into a training and a validation set, the latter being used for the performance assessment of the model. Our primary outcome measures were sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and an area under the curve precision-recall curve (AUC-PR). Results: Sensitivity, specificity, PPV, and NPV were respectively 88.5%, 99.7%, 96.4%, and 98.9%. The algorithm's accuracy was 98.7%. The AUC-PR was 1.00. The CNN processed 293.6 frames per second, enabling AI live application in a real-life clinical setting in DAE. Conclusion: To the best of our knowledge, this is the first study regarding the automatic multi-brand panendoscopic detection of ulcers and erosions throughout the digestive tract during DAE, overcoming a relevant interoperability challenge. Our results highlight that using a CNN to detect this type of lesion is associated with high overall accuracy. The development of binary CNN for automatically detecting clinically relevant endoscopic findings and assessing endoscopic inflammatory activity are relevant steps toward AI application in digestive endoscopy, particularly for panendoscopic evaluation.

3D-printed PMMA implant for gingival smile treatment through the VISTA technique: A report of a new approach.

BACKGROUND: A gingival display higher than 3 mm is considered a characteristic of a gingival smile (GS). Several etiological factors have been associated to GS and for this reason various treatments have been proposed according to its etiology. The aim of this study is to present a case with an alternative technique to treat GS with minimally invasive vestibular incision subperiosteal tunnel access (VISTA) and polymethyl methacrylate (PMMA) implants for lip repositioning. METHODS AND RESULTS: The patient, a 25-year-old woman diagnosed with excessive gingival exposure, had previously done botulinum toxin (BoNT) injections and did not like the result. She had a major subnasal depression and the upper lip would lodge in there during spontaneous smile. She was informed about all options of treatment and agreed to a lip repositioning installing a customized PMMA implant. CONCLUSION: This is the first study to our knowledge to present a case with use of a PMMA implant associated with the VISTA approach for lip repositioning and gingival smile correction. The results are encouraging, and the patient was satisfied with results accomplished by this technique. KEY POINTS: Why is this case new information? This is a new and innovative surgical approach for gingival smile with PMMA implants through a minimally invasive technique (VISTA). What are the keys to successful management of this case? Well-defined presurgical planning and the presence of the upper lip lodging in the subnasal depression during spontaneous smile. What are the primary limitations to success in this case? Cases with vertical maxillary excess and those in which osteotomy/osteoplasty is indicated. It is a technique-sensitive treatment dependent on the clinician's experience.

Primary small bowel follicular lymphoma: the role of balloon-assisted enteroscopy in diagnosis and follow-up.

An asymptomatic 38-year-old male with no significant previous medical history performed routine laboratory studies that revealed iron-deficiency anemia. Esophagogastroduodenoscopy and colonoscopy were unremarkable and he undergone videocapsule endoscopy that revealed multiple small polyps along jejunum and ileum. Double-balloon enteroscopy confirmed the presence of scattered small whitish nodules and small polyps carpeting segments of jejunal mucosal and sometimes forming conglomerates with a nodular appearance. Histopathological examination showed lamina propria expansion by neoplastic follicles, predominantly composed by small lymphoid cells that, by immunohistochemistry, showed expression of CD20, CD10 and bcl-2. Computed tomography scan of abdomen and pelvis did not reveal systemic involvement, consistent with primary small bowel follicular lymphoma. Chemotherapy was started and, at reevaluation enteroscopy, although nodular jejunal segments persisted, biopsies did not show involvement by lymphoproliferative disease, which was interpreted as complete remission. Periodic clinical and biochemical evaluation and annual enteroscopic surveillance was maintained and, after three years, local recurrence of low-grade follicular lymphoma was detected. As previously, there was no evidence of systemic involvement and the decision was to maintain close surveillance. After one year, the patient remains asymptomatic and without evidence of disease progression. This case illustrates the essential role of balloon-assisted enteroscopy for diagnosis and surveillance of primary small bowel follicular lymphoma.

Primary Localized Small Bowel Amyloidosis: A Rare Cause of Diarrhea Detected by Balloon-Assisted Enteroscopy.

Gastrointestinal involvement occurs in approximately 4% of cases of systemic amyloidosis and may be associated with heterogeneous and nonspecific clinical manifestations and endoscopic findings, which poses important diagnostic challenges. A 76-year-old female with previous medical history of breast cancer, hypertension, dyslipidemia, asthma, and depression presented to emergency department with a 1-month history of diarrhea, abdominal pain, anorexia, asthenia, and weight loss. Physical examination revealed dehydration and abdominal tenderness. Stool microbiologic studies, Clostridium difficile toxin, fecal leukocyte count, stool fat, and celiac serology were all negative. Remarkably, an axillary lymphadenopathy was also noted and its investigation revealed multiple myeloma, which raised suspicion for gastrointestinal amyloidosis. However, upper digestive endoscopy and colonoscopy did not reveal abnormalities and both gastric and colon biopsies were negative for amyloid, as was abdominal fat biopsy. As the patient also presented hypoproteinemia and hypoalbuminemia suggestive of protein-losing enteropathy, videocapsule endoscopy was performed where petechiae, villous atrophy, and fissures were seen along jejunal mucosa. These findings were confirmed with double-balloon enteroscopy and jejunal biopsies revealed extensive deposition of an amorphous hyaline material in lamina propria and muscularis mucosae that exhibited apple-green birefringence under polarized light after Congo red staining, consistent with localized small bowel amyloidosis secondary to multiple myeloma. Chemotherapy was started, but she would die after 3 weeks. This case illustrates the role of balloon-assisted enteroscopy in diagnosis of localized small bowel amyloidosis with jejunal involvement.

Artificial intelligence and colon capsule endoscopy: Automatic detection of ulcers and erosions using a convolutional neural network.

BACKGROUND AND AIM: Colon capsule endoscopy (CCE) has become a minimally invasive alternative for conventional colonoscopy. Nevertheless, each CCE exam produces between 50 000 and 100 000 frames, making its analysis time-consuming and prone to errors. Convolutional neural networks (CNNs) are a type of artificial intelligence (AI) architecture with high performance in image analysis. This study aims to develop a CNN model for the identification of colonic ulcers and erosions in CCE images. METHODS: A CNN model was designed using a database of CCE images. A total of 124 CCE exams performed between 2010 and 2020 in two centers were reviewed. For CNN development, a total of 37 319 images were extracted, 33 749 showing normal colonic mucosa and 3570 showing colonic ulcers and erosions. Datasets for CNN training, validation, and testing were created. The performance of the algorithm was evaluated regarding its sensitivity, specificity, positive and negative predictive values, accuracy, and area under the curve. RESULTS: The network had a sensitivity of 96.9% and a specificity of 99.9% specific for the detection of colonic ulcers and erosions. The algorithm had an overall accuracy of 99.6%. The area under the curve was 1.00. The CNN had an image processing capacity of 90 frames per second. CONCLUSIONS: The developed algorithm is the first CNN-based model to accurately detect ulcers and erosions in CCE images, also providing a good image processing performance. The development of these AI systems may contribute to improve both the diagnostic and time efficiency of CCE exams, facilitating CCE adoption to routine clinical practice.

Cognitive assessment of Brazilian patients with multiple sclerosis: weighing the impact of disability and depressive symptoms / Avaliação cognitiva de pacientes brasileiros com esclerose múltipla: análise do impacto da incapacidade e dos sintomas depressivos

ABSTRACT Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system. Cognition is not routinely assessed in patients with MS though they frequently have cognitive complaints or dysfunction. Objective: The aim of this study was to compare the cognitive status of patients with MS with age, sex, and schooling matched controls and to evaluate the potential influence of clinical parameters on cognition. Methods: A total of 35 patients with MS (mean±SD age 37.9 years±11.44, M/F: 12/23) and 33 healthy controls (mean±SD age 38.8 years±12.6, M/F: 12/21) were enrolled in this study. All subjects underwent a structured clinical assessment and the cognitive tools are as follows: Paced Auditory Serial Addition Test (PASAT), Symbol Digit Modalities Test (SDMT), Rey Auditory Verbal Learning Test (RAVLT), Digit Span, and Verbal Fluency Tests (letters F, A, and S and animal category). Psychopathology was assessed with the Mini International Neuropsychiatric Interview and the Beck Depression Inventory (BDI). The Expanded Disability Status Scale (EDSS) was used for patients. Results: Patients performed worse than controls in almost all tests, with approximately 70% of patients presenting cognitive impairment. The most affected cognitive domain was episodic memory (45.7%), followed by verbal fluency (42.8%) and information processing speed (22.8%). SDMT was inversely correlated with disease severity, as assessed by the EDSS. Depression did not influence cognitive performance in this cohort. Conclusions: Cognitive dysfunction is common among patients with MS. While motor impairment was associated with information processing speed, depression did not influence cognitive performance.

RESUMO A esclerose múltipla (EM) é a doença desmielinizante mais comum do sistema nervoso central. A cognição não é rotineiramente avaliada nos pacientes apesar da ocorrência frequente de queixas ou disfunção cognitivas. Objetivo: Comparar o perfil de pacientes com EM com controles pareados por idade, sexo e escolaridade e investigar a potencial influência de parâmetros clínicos na cognição. Métodos: Trinta e cinco pacientes com EM (idade média±desvio padrão [DP] 37,9 anos±11,44, H/M: 12/23) e 33 controles saudáveis (idade média±DP 38,8 anos±12,6, H/M: 12/21) foram incluídos neste estudo. Todos os participantes passaram por avaliação clínica estruturada e por testagem cognitiva com os seguintes instrumentos: Paced Auditory Serial Addition Test (PASAT), Symbol Digit Modalities Test (SDMT), Rey Auditory Verbal Learning Test (RAVLT), Digit Span e testes de fluências verbais (letras F, A e S e categoria-animais). A psicopatologia foi investigada com a Mini International Neuropsychiatric Interview e com o Beck Depression Inventory (BDI). A Expanded Disability Status Scale (EDSS) foi aplicada nos pacientes. Resultados: Pacientes tiveram desempenho pior que os controles na maioria dos testes — 70% deles tiveram déficit cognitivo. A função cognitiva mais frequentemente afetada foi memória episódica (45,7%), seguida por fluência verbal (42,8%) e velocidade de processamento (22,8%). A pontuação no SDMT correlacionou-se inversamente com a gravidade da doença, medida pela EDSS. A depressão não influenciou o desempenho cognitivo nesta série de pacientes. Conclusões: Declínio cognitivo é comum em pacientes com EM. Enquanto o déficit motor se associou com a velocidade de processamento, a depressão não influenciou o desempenho cognitivo.

Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network.

INTRODUCTION: Device-assisted enteroscopy (DAE) plays a major role in the investigation and endoscopic treatment of small bowel diseases. Recently, the implementation of artificial intelligence (AI) algorithms to gastroenterology has been the focus of great interest. Our aim was to develop an AI model for the automatic detection of protruding lesions in DAE images. METHODS: A deep learning algorithm based on a convolutional neural network was designed. Each frame was evaluated for the presence of enteric protruding lesions. The area under the curve, sensitivity, specificity, and positive and negative predictive values were used to assess the performance of the convolutional neural network. RESULTS: A total of 7,925 images from 72 patients were included. Our model had a sensitivity and specificity of 97.0% and 97.4%, respectively. The area under the curve was 1.00. DISCUSSION: Our model was able to efficiently detect enteric protruding lesions. The development of AI tools may enhance the diagnostic capacity of deep enteroscopy techniques.

Performance of a Deep Learning System for Automatic Diagnosis of Protruding Lesions in Colon Capsule Endoscopy.

BACKGROUND: Colon capsule endoscopy (CCE) is an alternative for patients unwilling or with contraindications for conventional colonoscopy. Colorectal cancer screening may benefit greatly from widespread acceptance of a non-invasive tool such as CCE. However, reviewing CCE exams is a time-consuming process, with risk of overlooking important lesions. We aimed to develop an artificial intelligence (AI) algorithm using a convolutional neural network (CNN) architecture for automatic detection of colonic protruding lesions in CCE images. An anonymized database of CCE images collected from a total of 124 patients was used. This database included images of patients with colonic protruding lesions or patients with normal colonic mucosa or with other pathologic findings. A total of 5715 images were extracted for CNN development. Two image datasets were created and used for training and validation of the CNN. The AUROC for detection of protruding lesions was 0.99. The sensitivity, specificity, PPV and NPV were 90.0%, 99.1%, 98.6% and 93.2%, respectively. The overall accuracy of the network was 95.3%. The developed deep learning algorithm accurately detected protruding lesions in CCE images. The introduction of AI technology to CCE may increase its diagnostic accuracy and acceptance for screening of colorectal neoplasia.

Not all liver tumors are alike - an accidentally discovered primary hepatic leiomyosarcoma: A case report.

BACKGROUND: Primary hepatic leiomyosarcoma is a very rare entity that originates from smooth muscle. Preoperative diagnosis requires a high degree of suspicion due to atypical clinical presentation and non-specific imaging features. CASE SUMMARY: We report the case of a 42-year-old man, with no relevant past medical history, accidentally diagnosed with a nodular liver lesion on a routine abdominal ultrasound. Liver function tests and hematology parameters as well as tumor markers were normal. A contrast-enhanced abdominal computed tomography scan revealed a heterogenous hepatic lesion measuring 40 mm 30 mm, adjacent to the left branch of the portal vein and the round ligament. Due to the unclear diagnosis, the patient underwent surgical resection. Histopathological and immunohistochemical examinations confirmed complete (R0) resection of a hepatic leiomyosarcoma. The patient remains without any signs of tumor recurrence for more than 2 years. CONCLUSION: We report a rare case of accidentally diagnosed primary hepatic leiomyosarcoma originating from the portal vein or the round ligament. Although this tumor has aggressive metastatic potential, a tumor-free resection margin is essential to improve survival.

Perfil alimentar de transplantados cardíacos de um centro transplantador brasileiro - Atuação da enfermagem neste cenário / Perfil alimentario de los trasplantes de corazón en un centro de trasplante brasileño - Desempeño de la enfermería en este escenario / Food profile of heart transplants in a brazilian transplantation center - Nursing performance in this scenario

Objetivo- Descrever o perfil alimentar de pacientes pós transplante cardíaco (TC) tardio de um centro transplantador brasileiro. Método- Estudo observacional transversal com delineamento descritivo. O estudo ocorreu em uma instituição de ensino público de Minas Gerais. A coleta de dados ocorreu no período de 2017 a 2019. Resultados-. A amostra do estudo foi composta por 62 indivíduos transplantados entre os anos de 2006 a 2016. Aproximadamente 63% era do sexo masculino. A média de idade foi de 46,53 anos. O consumo de carboidratos e gorduras foi adequado em 46,77% e 59,68% da amostra, respectivamente. Já o consumo de proteínas foi acima do recomendado em 77,42% e o consumo de fibras abaixo do recomendado em 79,03%. Conclusão- Houve a predominância do sexo masculino. Os indivíduos apresentaram um consumo adequado somente de carboidratos e gorduras. Não houve na literatura estudos descrevendo a atuação do enfermeiro no processo de nutrição neste cenário(AU)

Objective- To describe the dietary profile of patients after late heart transplantation (HT) from a Brazilian transplant center. Method- Cross-sectional observational study with descriptive design. The study took place in a public education institution in Minas Gerais. Data collection took place from 2017 to 2019. Results-. The study sample consisted of 62 individuals transplanted between 2006 and 2016. Approximately 63% were male. The mean age was 46.53 years. The consumption of carbohydrates and fats was adequate in 46.77% and 59.68% of the sample, respectively. The consumption of proteins was above the recommended in 77.42% and the consumption of fibers below the recommended in 79.03%. Conclusion- There was a predominance of males. The individuals presented an adequate consumption of only carbohydrates and fats. There were no studies in the literature describing the role of nurses in the nutrition process in this scenario(AU)

Objetivo- Describir el perfil dietético de pacientes después de un trasplante cardíaco (TC) tardío de un centro de trasplante brasileño. Método- Estudio observacional transversal con diseño descriptivo. El estudio se llevó a cabo en una institución de educación pública en Minas Gerais. La recolección de datos se llevó a cabo de 2017 a 2019. Resultados-. La muestra del estudio estuvo compuesta por 62 individuos trasplantados entre 2006 y 2016. Aproximadamente el 63% eran hombres. La edad media fue de 46,53 años. El consumo de carbohidratos y grasas fue adecuado en el 46,77% y 59,68% de la muestra, respectivamente. El consumo de proteína estuvo por encima del nivel recomendado en un 77,42% y el consumo de fibra por debajo del nivel recomendado en un 79,03%. Conclusión- Hubo predominio del sexo masculino. Los individuos presentaron un consumo adecuado de solo carbohidratos y grasas. No hubo estudios en la literatura que describieran el papel del enfermero en el proceso de nutrición en este escenario.(AU)

Deep learning and colon capsule endoscopy: automatic detection of blood and colonic mucosal lesions using a convolutional neural network.

Background and study aims Colon capsule endoscopy (CCE) is a minimally invasive alternative to conventional colonoscopy. However, CCE produces long videos, making its analysis time-consuming and prone to errors. Convolutional neural networks (CNN) are artificial intelligence (AI) algorithms with high performance levels in image analysis. We aimed to develop a deep learning model for automatic identification and differentiation of significant colonic mucosal lesions and blood in CCE images. Patients and methods A retrospective multicenter study including 124 CCE examinations was conducted for development of a CNN model, using a database of CCE images including anonymized images of patients with normal colon mucosa, several mucosal lesions (erosions, ulcers, vascular lesions and protruding lesions) and luminal blood. For CNN development, 9005 images (3,075 normal mucosa, 3,115 blood and 2,815 mucosal lesions) were ultimately extracted. Two image datasets were created and used for CNN training and validation. Results The mean (standard deviation) sensitivity and specificity of the CNN were 96.3 % (3.9 %) and 98.2 % (1.8 %) Mucosal lesions were detected with a sensitivity of 92.0 % and a specificity of 98.5 %. Blood was detected with a sensitivity and specificity of 97.2 % and 99.9 %, respectively. The algorithm was 99.2 % sensitive and 99.6 % specific in distinguishing blood from mucosal lesions. The CNN processed 65 frames per second. Conclusions This is the first CNN-based algorithm to accurately detect and distinguish colonic mucosal lesions and luminal blood in CCE images. AI may improve diagnostic and time efficiency of CCE exams, thus facilitating CCE adoption to routine clinical practice.