RESUMO
Although gastric mucosa-associated lymphoid tissue (MALT) lymphoma without Helicobacter pylori (HP) has increased recently, a specific endoscopic classification has not been established; its endoscopic characteristics have not been investigated. In this study, we retrospectively investigated gastric MALT lymphoma without HP in our hospital and assessed differences in the endoscopic findings according to HP infection status. Fifty-seven patients with gastric MALT lymphoma Lugano stage I, diagnosed between January 2013 and March 2023, were divided into three groups (currently HP infected, previously infected, and uninfected), wherein their endoscopic findings were evaluated. Furthermore, the superficial type, as per the classification of Sano et al., was independently subdivided based on the endoscopic differential diagnoses, as follows: atrophic gastritis-like, angiodysplasia-like, superficial gastritis-like, and undifferentiated carcinoma-like. Compared with the currently infected group, the HP-uninfected group tended to have more small lesions without erosion and more discolored, undifferentiated carcinoma-like depressed lesions. In addition, the positive rate of the tree-like appearance (TLA) and ballooning characteristics of gastric MALT lymphoma in magnified findings was lower in the HP-uninfected group. In patients without HP infection, MALT lymphoma should be excluded, even in the absence of suspicious magnifying findings such as TLA or ballooning.
RESUMO
Background: Artificial intelligence (AI)-assisted colonoscopy systems with contact microscopy capabilities have been reported previously; however, no studies regarding the clinical use of a commercially available system in patients with ulcerative colitis (UC) have been reported. In this study, the diagnostic performance of an AI-assisted ultra-magnifying colonoscopy system for histological healing was compared with that of conventional light non-magnifying endoscopic evaluation in patients with UC. Methods: The data of 52 patients with UC were retrospectively analyzed. The Mayo endoscopic score (MES) was determined by 3 endoscopists. Using the AI system, healing of the same spot assessed via MES was defined as a predicted Geboes score (GS)â <â 3.1. The GS was then determined using pathology specimens from the same site. Results: A total of 191 sites were evaluated, including 159 with a GSâ <â 3.1. The MES diagnosis identified 130 sites as MES0. A total of 120 sites were determined to have healed based on AI. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of MES0 for the diagnosis of GSâ <â 3.1 were 79.2%, 90.6%, 97.7%, 46.8%, and 81.2%, respectively. The AI system performed similarly to MES for the diagnosis of GSâ <â 3.1: sensitivity, 74.2%; specificity: 93.8%; PPV: 98.3%; NPV: 42.3%; and accuracy: 77.5%. The AI system also significantly identified a GS ofâ <â 3.1 in the setting of MES1 (Pâ =â .0169). Conclusions: The histological diagnostic yield the MES- and AI-assisted diagnoses was comparable. Healing decisions using AI may avoid the need for histological examinations.
RESUMO
PuraStat® (3D Matrix, Tokyo, Japan) is a novel, self-assembling peptide hemostatic hydrogel that can be used endoscopically. Hemostasis can be physically obtained by covering bleeding points; however, there are no reports of how long PuraStat remains in the upper gastrointestinal tract. Herein, we report a case wherein esophagogastroduodenoscopy (EGD) was performed 2 hours after PuraStat application. A 73-year-old man underwent EGD for evaluation of lesions in the posterior wall of the stomach. A biopsy was then performed on the gastric lesions; however, massive bleeding occurred. A hemostatic clip was used to stop bleeding but failed; primary hemostasis was obtained by applying PuraStat. EGD performed 2 hours later to determine whether the patient could be discharged revealed that the white-turning PuraStat gel remained firmly in the applied area, confirming complete hemostasis. PuraStat is a hemostatic agent capable of physical hemostasis that reliably remains in the stomach even after a few hours of use and, thus, may replace some conventional hemostasis methods.
RESUMO
Artificial-intelligence-based computer-aided diagnosis (CAD) systems have developed remarkably in recent years. These systems can help increase the adenoma detection rate (ADR), an important quality indicator in colonoscopies. While there have been many still-image-based studies on the usefulness of CAD, few have reported on its usefulness using actual clinical videos. However, no studies have compared the CAD group and control groups using the exact same case videos. This study aimed to determine whether CAD or endoscopists were superior in identifying colorectal neoplastic lesions in videos. In this study, we examined 34 lesions from 21 cases. CAD performed better than four of the six endoscopists (three experts and three beginners), including all the beginners. The time to lesion detection with beginners and experts was 2.147 ± 1.118 s and 1.394 ± 0.805 s, respectively, with significant differences between beginners and experts (p < 0.001) and between beginners and CAD (both p < 0.001). The time to lesion detection was significantly shorter for experts and CAD than for beginners. No significant difference was found between experts and CAD (p = 1.000). CAD could be useful as a diagnostic support tool for beginners to bridge the experience gap with experts.
RESUMO
Recent improvements in endoscopists' skills and technological advances have allowed endoscopic submucosal dissection (ESD) to become a standard treatment in general hospitals. As this treatment entails a high risk of accidental perforation or hemorrhage, therapeutic procedures and training methods that enable ESD to be conducted more safely and efficiently are constantly being developed. This article reviews the therapeutic procedures and training methods used to improve the safety and efficiency of ESD and describes the ESD training system used in a Japanese university hospital at which the number of ESD procedures has gradually increased in a newly established Department of Digestive Endoscopy. During the establishment of this department, the ESD perforation rate was zero among all procedures, including those conducted by trainees.
Assuntos
Carcinoma , Neoplasias Duodenais , Ressecção Endoscópica de Mucosa , Humanos , Duodeno/patologia , Carcinoma/cirurgia , Endoscopia , Neoplasias Duodenais/cirurgia , Neoplasias Duodenais/patologia , Ressecção Endoscópica de Mucosa/efeitos adversos , Resultado do Tratamento , Estudos RetrospectivosAssuntos
Neoplasias Duodenais , Tumores Neuroendócrinos , Humanos , Tumores Neuroendócrinos/diagnóstico por imagem , Tumores Neuroendócrinos/cirurgia , Tumores Neuroendócrinos/patologia , Neoplasias Duodenais/cirurgia , Neoplasias Duodenais/patologia , Duodeno/patologia , Resultado do Tratamento , Estudos RetrospectivosRESUMO
Gastric antral vascular ectasia (GAVE) is a gastric hemorrhagic disease associated with chronic liver disease. Argon plasma coagulation is widely used to control gastrointestinal bleeding due to GAVE. Although argon plasma coagulation is a relatively safe endoscopic procedure, it is not suitable in some cases, such as in patients with pacemakers. We report a case of GAVE in which PuraStat, a novel self-assembling peptide hemostatic hydrogel, was effective. The patient was a 55-year-old man who had undergone Fontan surgery for tricuspid regurgitation more than 20 years prior. He developed hepatic cirrhosis as a complication following Fontan surgery. During upper gastrointestinal endoscopy to examine the cause of the progression of anemia and black stool, bleeding from GAVE was observed; PuraStat was applied to stop the bleeding. Postoperatively, the black stool disappeared, and his hemoglobin levels improved. Upper gastrointestinal endoscopy was performed 13 days after the surgery; the density of the capillaries in the antrum was significantly decreased, and a clear trend toward disappearance was observed. Therefore, the application of PuraStat may be useful in the treatment of GAVE.
RESUMO
Objective The study objectives were to clarify the clinical findings and the causes of intractability and mortality of upper gastrointestinal (UGI) bleeding in inpatients. Methods The patients were divided into Inpatient (Ip) and Outpatient (Op) onset groups, and their characteristics, clinical and bleeding data, and outcomes were compared. Patients Our study included 375 patients who developed UGI bleeding during hospitalization or were admitted after being diagnosed with UGI bleeding in an outpatient setting from January 1, 2015, to June 30, 2020. Results The Ip group had worse general condition; increased percentages of comorbidities; and more common use of proton pump inhibitor, anti-coagulant, and steroid than the Op group. Compared with the Op group, the Ip group had lower serum albumin levels and platelet counts at the onset of bleeding, whereas rebleeding, mortality, and bleeding-related death rates were higher. Multivariate analysis of the Ip group revealed that the risks of rebleeding included endoscopic high-risk stigmata, maintenance dialysis, and duodenal bleeding, whereas the risks of mortality were gastric ulcer and a Charlson Comorbidity Index update score of ≥3. Conclusion UGI bleeding in the Ip group was associated with higher rebleeding and mortality rates. Because of their poor general health condition, the pathology of UGI bleeding in these patients may differ from that of patients with common UGI bleeding. A different approach for the care and prevention of UGI bleeding in inpatients is required.
Assuntos
Pacientes Internados , Pacientes Ambulatoriais , Humanos , Hemorragia Gastrointestinal/terapia , Hemorragia Gastrointestinal/tratamento farmacológico , Fatores de Risco , Inibidores da Bomba de Prótons/uso terapêuticoRESUMO
Autoimmune gastritis (AIG) is chronic atrophic gastritis caused by an autoimmune mechanism of unknown etiology and presents with various pathological conditions by causing an achlorhydria state through parietal cell damage. The most characteristic endoscopic finding in AIG is advanced corpus-dominant mucosal atrophy. A recent study that examined several cases in Japan revealed the presence of endoscopic features other than corpus-dominant advanced atrophy. Remnants of oxyntic mucosa and sticky adherent dense mucus were found in ≥30% of cases, and hyperplastic polyps were found in ≥20% of cases. In image-enhanced endoscopy (IEE), white globe appearance (WGA) was observed in 32% of AIG cases. Additionally, some reports have stated that the findings in AIG cases using IEE showed cast-off skin appearance (CSA) and foveola type mucosa; however, a consensus is yet to be achieved. These endoscopic results were found in cases of advanced-stage AIG. There have been few reports concerning early-stage AIG cases. In these few reports, all of the cases were pathologically diagnosed as early AIG. In all of the cases, the pathological findings almost always showed neither parietal cell destruction nor atrophy. Endoscopic findings such as "mosaic pattern with slight swelling of the areae gastricae", "diffuse reddened and edematous gastric fundic gland mucosa", and "pseudopolyp-like nodules" may be common characteristics of early images. In such early cases, high antibody titers, no atrophic changes, and few clinical abnormal findings were shown. Endoscopists are expected to update their knowledge regarding AIG diagnosis with the evolution of imaging equipment.
RESUMO
The early endoscopic identification, resection, and treatment of precancerous adenoma and early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer but also its mortality rate. Recent advances in endoscopic devices and imaging technology have dramatically improved our ability to detect colorectal lesions and predict their pathological diagnosis. In addition to this, rapid advances in artificial intelligence (AI) technology mean that AI-related research and development is now progressing in the diagnostic imaging field, particularly colonoscopy, and AIs (i.e., devices that mimic cognitive abilities, such as learning and problem-solving) already approved as medical devices are now being introduced into everyday clinical practice. Today, there is an increasing expectation that sophisticated AIs will be able to provide high-level diagnostic performance irrespective of the level of skill of the endoscopist. In this paper, we review colonoscopy-related AI research and the AIs that have already been approved and discuss the future prospects of this technology.
RESUMO
The widespread use of Helicobacter pylori eradication therapy in recent years has reduced the H. pylori infection rate, indicating that gastric cancer cases diagnosed in the future may be H. pylori-naïve. The typical endoscopic presentation of signet-ring cell carcinoma, which accounts for the majority of H. pylori-naïve gastric cancer cases, is a discolored, flat, or depressed lesion; it is rarely presented as an elevated lesion. In this study, we treated a patient with elevated signet-ring cell carcinoma in an H. pylori-naïve stomach. Histopathological testing after endoscopic submucosal dissection showed proliferation of fibromuscular tissue in the tumor, which may have caused the formation of the elevated lesion.
RESUMO
Endoscopic submucosal dissection (ESD) is considered superior to endoscopic mucosal resection as an endoscopic resection because of its higher en bloc resection rate, but it is more difficult to perform. As ESD techniques have become more common, and the range of treatment by ESD has expanded, the number of possible complications has also increased, and endoscopists need to manage them. In this report, we will review the management of critical complications, such as hemorrhage, perforation, and stenosis, and we will also discuss educational methods for acquiring and improving ESD skills.
RESUMO
The development of image-enhanced endoscopy has dramatically improved the qualitative and quantitative diagnosis of gastrointestinal tumors. In particular, narrow band imaging (NBI) has been widely accepted by endoscopists around the world in their daily practice. In 2009, Yao et al. proposed vessel plus surface (VS) classification, a diagnostic algorithm for early gastric cancer using magnifying endoscopy with NBI (ME-NBI), and in 2016, Muto et al. proposed a magnifying endoscopy simple diagnostic algorithm for early gastric cancer (MESDA-G) based on VS classification. In addition, the usefulness of ME-NBI in the differential diagnosis of gastric cancer from gastritis, diagnosis of lesion extent, inference of histopathological type, and diagnosis of depth has also been investigated. In this paper, we narrative review the basic principles, current status, and future prospects of NBI.
RESUMO
Emergency endoscopy in coronavirus disease 2019 (COVID-19) patients should be avoided whenever possible to ensure the safety of medical staff; however, it may be unavoidable in some cases. We report a case of emergency lower gastrointestinal endoscopy performed with full personal protective equipment in a patient on extracorporeal membrane oxygenation with severe COVID-19 pneumonia admitted in a restricted area under negative pressure in the intensive care unit. To avoid the risk of fecal-oral transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the procedure, the patient's lower body was covered with a 2 m2 vinyl sheet with an aperture (diameter, approximately 2 cm). None of the medical staff involved exhibited any signs of SARS-CoV-2 infection after the procedure. Although patients with severe COVID-19 pneumonia on extracorporeal membrane oxygenation have a high risk of bleeding, we believe that emergency lower endoscopy can be safely performed in such patients by reducing exposure to dispersed feces and using full personal protective equipment.