Spontaneous isolated gastric intramural hematoma combined with spontaneous superior mesenteric artery intermural hematoma: a rare case.

BACKGROUND: Gastric intramural hematoma is a rare disease. Here we report a case of spontaneous isolated gastric intramural hematoma combined with spontaneous superior mesenteric artery intermural hematoma. CASE PRESENTATION: A 75-years-old man was admitted to our department with complaints of abdominal pain. He underwent a whole abdominal computed tomography (CT) scan in the emergency department, which showed extensive thickening of the gastric wall in the gastric body and sinus region with enlarged surrounding lymph nodes, localized thickening of the intestinal wall in the transverse colon, localized indistinct demarcation between the stomach and transverse colon, and a small amount of fluid accumulation in the abdominal cavity. Immediately afterwards, he was admitted to our department, and then we arranged a computed tomography with intravenously administered contrast agent showed a spontaneous isolated gastric intramural hematoma combined with spontaneous superior mesenteric artery intermural hematoma. Therefore, we treated him with anticoagulation and conservative observation. During his stay in the hospital, he was given low-molecular heparin by subcutaneous injection for anticoagulation therapy, and after discharge, he was given oral anticoagulation therapy with rivaroxaban. At the follow-up of more than 4 months, most of the intramural hematoma was absorbed and became significantly smaller, and the intermural hematoma of the superior mesenteric artery was basically absorbed, which also confirmed that the intramural mass was an intramural hematoma. CONCLUSION: A gastric intramural hematoma should be considered, when an intra-abdominal mass was found to be attached to the gastric wall. Proper recognition of gastric intramural hematoma can reduce the misdiagnosis rate of confusion with gastric cancer.

Role of Endoscopy in the Diagnosis, Grading, and Treatment of Portal Hypertensive Gastropathy and Gastric Antral Vascular Ectasia.

Portal hypertensive gastropathy (PHG) and gastric antral vascular ectasia (GAVE) are 2 distinct gastric vascular abnormalities that may present with acute or chronic blood loss. PHG requires the presence of portal hypertension and is typically associated with chronic liver disease, whereas there is controversy about the association of GAVE with chronic liver disease and/or portal hypertension. Distinguishing between GAVE and PHG is crucial because their treatment strategies differ. This review highlights characteristic endoscopic appearances and the clinical features of PHG and GAVE, which, in turn, aid in their appropriate management.

Endoscopic Manifestations and Clinical Characteristics of Localized Gastric Light-Chain Amyloidosis.

To determine the endoscopic and clinical features of localized gastric amyloid light-chain (AL) amyloidosis, we retrospectively examined the characteristics of nine patients (eight men and one woman) encountered by the hospitals in our network. Lesions were predominantly flat and depressed with surface vascular dilatation (n=5); others were characterized by subepithelial lesions (n=2), mucosal color change (n=1), and a mass-like morphology with swollen mucosal folds (n=1). Colonoscopy (n=7), video capsule enteroscopy (n=2), serum (n=5) and urine immunoelectrophoresis (n=4), and bone marrow examination (n=3) were performed to exclude involvement of organs other than the stomach. As treatment for gastric lesions of AL amyloidosis, one patient each underwent endoscopic submucosal dissection (n=1) and argon plasma coagulation (n=1), while the remaining seven patients underwent no specific treatment. During a mean follow-up of 4.2 years, one patient died 3.2 years after diagnosis, but the cause of death, which occurred in another hospital, was unknown. The remaining eight patients were alive at the last visit. In conclusion, although localized gastric AL amyloidosis can show various macroscopic features on esophagogastroduodenoscopy, flat, depressed lesions with vascular dilatation on the surface are predominant.

Clinical factors associated with acute abdominal symptoms induced by gastric anisakiasis: a multicenter retrospective cohort study.

BACKGROUND: Gastric anisakiasis typically causes severe abdominal symptoms; however, we incidentally detected asymptomatic gastric anisakiasis cases during esophagogastroduodenoscopy. The factors associated with developing acute abdominal symptoms induced by gastric anisakiasis remain unclear. Therefore, this study aimed to investigate the clinical factors associated with abdominal symptoms of gastric anisakiasis by comparing symptomatic and asymptomatic cases. METHODS: This was a retrospective cohort study involving 264 patients diagnosed with gastric anisakiasis at nine hospitals in Japan between October 2015 and October 2021. We analyzed patients' medical records and endoscopic images and compared the clinical factors between the symptomatic and asymptomatic groups. RESULTS: One hundred sixty-five patients (77.8%) were diagnosed with abdominal symptoms, whereas 47 (22.2%) were asymptomatic. Older age, male sex, diabetes mellitus, gastric mucosal atrophy, and gastric mucosal atrophy of the Anisakis penetrating area were significantly more common in the asymptomatic group than in the symptomatic group. Multivariate analysis revealed that age (p = 0.007), sex (p = 0.017), and presence or absence of mucosal atrophy (p = 0.033) were independent factors for the occurrence of acute abdominal symptoms. In addition, cases that were Helicobacter pylori naïve, with an elevation of white blood cells, or without an elevation of eosinophils were more common in the symptomatic group than in the asymptomatic group. CONCLUSIONS: Age, sex, and presence or absence of gastric mucosal atrophy were the clinical factors associated with the occurrence of acute abdominal symptoms. Older and male patients and those with gastric mucosal atrophy were less likely to show abdominal symptoms. The mechanisms of the occurrence of symptoms induced by gastric anisakiasis remain unclear; however, our results will help clarify this issue in the future.

Clinical presentation and outcome of gastric impactions with or without concurrent intestinal lesions in horses.

BACKGROUND: Gastric impactions (GI) have been identified as primary lesions (lone GI; LGI) or associated with other intestinal lesions (concurrent GI; CGI). Anecdotally, CGI resolve more rapidly with a better prognosis than LGI. OBJECTIVES: To determine clinical, laboratory, and ultrasonographic findings, and short- and long-term survival in horses with GI. We hypothesized that LGI carries a worse prognosis than CGI. ANIMALS: Seventy-one horses from 2 referral hospitals (2007-2022). METHODS: Retrospective cohort study. Gastric impactions were defined as feed extending to the margo plicatus after ≥24 hours of fasting. Clinical, diagnostic and outcome findings were compared between LGI and CGI. Long-term survival was determined by a questionnaire. RESULTS: Twenty-seven horses had LGI, 44 had CGI. Large intestinal lesions (32/44) were more common than small intestinal lesions (12/44). Concurrent gastric impactions resolved more slowly than LGI (LGI median 2 days, range 0-8; CGI median 4 days, range 1-10; P = .003). Short- (LGI 63%, 17/27; CGI 59%, 26/44; P = .75) and long-term survival (LGI 3.5 ± 1.9 years; CGI 2.3 ± 2.3 years; P = .42) were not significantly different. However, Lone gastric impactions were more likely to experience gastric rupture (LGI 29.6%, 8/27; CGI 11.4%, 5/44; P = .05). Lone gastric impactions were 8.7 times more likely to require dietary changes (LGI 72.7%, 8/11; CGI 25%, 4/16; 95% confidence interval [CI], 1.53-49.22; P = .01). Gastric impactions recurred in 21.7% (LGI, 6/20; CGI, 4/26; P = .23) of affected horses. CONCLUSIONS AND CLINICAL IMPORTANCE: Lone gastric impactions and CGI present similarly with a comparable prognosis, but LGI are more likely to rupture. Long-term dietary changes are often necessary for horses with LGI.

Efficacy of ultrasound endoscopy with artificial intelligence for the differential diagnosis of non-gastric gastrointestinal stromal tumors.

Gastrointestinal stromal tumors (GISTs) are common subepithelial lesions (SELs) and require treatment considering their malignant potential. We recently developed an endoscopic ultrasound-based artificial intelligence (EUS-AI) system to differentiate GISTs from non-GISTs in gastric SELs, which were used to train the system. We assessed whether the EUS-AI system designed for diagnosing gastric GISTs could be applied to non-gastric GISTs. Between January 2015 and January 2021, 52 patients with non-gastric SELs (esophagus, n = 15; duodenum, n = 26; colon, n = 11) were enrolled. The ability of EUS-AI to differentiate GISTs from non-GISTs in non-gastric SELs was examined. The accuracy, sensitivity, and specificity of EUS-AI for discriminating GISTs from non-GISTs in non-gastric SELs were 94.4%, 100%, and 86.1%, respectively, with an area under the curve of 0.98 based on the cutoff value set using the Youden index. In the subanalysis, the accuracy, sensitivity, and specificity of EUS-AI were highest in the esophagus (100%, 100%, 100%; duodenum, 96.2%, 100%, 0%; colon, 90.9%, 100%, 0%); the cutoff values were determined using the Youden index or the value determined using stomach cases. The diagnostic accuracy of EUS-AI increased as lesion size increased, regardless of lesion location. EUS-AI based on gastric SELs had good diagnostic ability for non-gastric GISTs.

Gastric Histopathologic Findings Are Similar in Portal Hypertension Patients With and Without Endoscopic Portal Hypertensive Gastropathy.

OBJECTIVES: Portal hypertensive gastropathy (PHG) is a diagnosis made based on endoscopic findings in the appropriate clinical setting. Biopsy may be taken during endoscopy for correlation, but the pathologist may encounter a myriad of nonspecific histologic findings. We undertook this study to evaluate contexts where a histologic diagnosis of PHG might be rendered on biopsy. METHODS: Two cohorts were established: stomach biopsy specimens from patients with cirrhosis or undergoing varices screening (n = 188) and stomach biopsy specimens with findings interpreted as PHG in the pathology report (n = 29). RESULTS: In the first cohort, cases with endoscopic varices more frequently displayed foveolar hyperplasia and acute inflammation, with no other histologic differences between cases with and without endoscopic PHG, clinical varices, and clinical cirrhosis. Cases from the second cohort showed no histologic differences when stratified for endoscopic PHG, endoscopic varices, and clinical cirrhosis. Our second cohort displayed the majority of charted histologic findings more frequently than the first. Our results indicate that neither an endoscopic appearance of PHG nor particular clinical diagnoses associated with PHG translate into specific histologic findings. CONCLUSIONS: Although the histologic findings charted displayed increased frequency in pathology reports with an interpretation of PHG, histology should not be used reliably in the diagnosis of PHG.

Mass-Forming Gastric Heterotopia of the Rectum: A Series of 3 Cases from a Single Tertiary Health Center.

BACKGROUND Gastric heterotopia is a benign entity found throughout the gastrointestinal tract but is rarely identified in the rectum. Since 1939, only 94 cases have ever been identified, and it can present as a mass formation with symptomatology that mimics colorectal malignancy. In some instances, malignancy has been shown to arise within rectal gastric heterotopia. Here, we present 3 cases from the past 20-year period of rectal gastric heterotopia at a single tertiary institution. CASE REPORT A 25-year-old man (case 1), a 58-year-old woman (case 2), and a 33-year-old man (case 3) were found to have polypoid mass-like lesions greater than 1.0 cm within the rectum. Following biopsy, pathology showed gastric oxyntic mucosa flanked by colorectal mucosa, thus indicating gastric heterotopia. Presenting symptoms from all patients consisted of unspecified anal pain, hematochezia, or a combination of both. All patients were treated with endoscopic mucosal resection (EMR), which provided relief of symptoms and confirmed no evidence of invasive malignancy. CONCLUSIONS Rectal gastric heterotopia can mimic malignancy and in very rare instances can harbor high-grade dysplasia as well as invasive carcinoma. EMR seems to be a definitive treatment that offers relief to patient symptomatology and reassurance that any dysplasia is identified and removed.

Pattern-based approach to gastritis and gastropathy.

Histological investigation of non-neoplastic endoscopic biopsies of gastric mucosa is one of the most common tasks most pathologists have to face on daily basis. Although the most common clinical question is still being whether Helicobacter organisms are found, pathologists have to bear in mind the whole spectrum of causes and associated morphological patterns of gastritides and gastropathies, governed by characteristic combinations of various types of inflammatory infiltrate, alterative and reactive changes of epithelial component, vascular response, and variability of stromal composition. The association of histopathologic pattern with supposed etiology can be sometimes proved by direct detection of the cause of morphologic changes in the investigated endoscopic sample.

Deep Feature Fusion and Optimization-Based Approach for Stomach Disease Classification.

Cancer is the deadliest disease among all the diseases and the main cause of human mortality. Several types of cancer sicken the human body and affect organs. Among all the types of cancer, stomach cancer is the most dangerous disease that spreads rapidly and needs to be diagnosed at an early stage. The early diagnosis of stomach cancer is essential to reduce the mortality rate. The manual diagnosis process is time-consuming, requires many tests, and the availability of an expert doctor. Therefore, automated techniques are required to diagnose stomach infections from endoscopic images. Many computerized techniques have been introduced in the literature but due to a few challenges (i.e., high similarity among the healthy and infected regions, irrelevant features extraction, and so on), there is much room to improve the accuracy and reduce the computational time. In this paper, a deep-learning-based stomach disease classification method employing deep feature extraction, fusion, and optimization using WCE images is proposed. The proposed method comprises several phases: data augmentation performed to increase the dataset images, deep transfer learning adopted for deep features extraction, feature fusion performed on deep extracted features, fused feature matrix optimized with a modified dragonfly optimization method, and final classification of the stomach disease was performed. The features extraction phase employed two pre-trained deep CNN models (Inception v3 and DenseNet-201) performing activation on feature derivation layers. Later, the parallel concatenation was performed on deep-derived features and optimized using the meta-heuristic method named the dragonfly algorithm. The optimized feature matrix was classified by employing machine-learning algorithms and achieved an accuracy of 99.8% on the combined stomach disease dataset. A comparison has been conducted with state-of-the-art techniques and shows improved accuracy.

Assessment of agreement using the equine glandular gastric disease grading system in 84 cases.

INTRODUCTION: Equine glandular gastric disease (EGGD) is a common condition causing signs of gastric pain although lesions are highly variable in their appearance. The only definitive method to diagnose EGGD ante-mortem is gastroscopy. The current recommended method for describing these lesions is the European College of Equine Internal Medicine (ECEIM) guidelines; however, repeatability between users is variable. This study aimed to validate the reliability of lesion descriptions using ECEIM consensus guidelines, using four blinded equine internal medicine diplomates. METHODS: Ninety-two horses with EGGD with pre- and post-treatment gastroscopy images were identified using the electronic record at a UK equine hospital between 2012 and 2019. Eight horses were excluded due to non-diagnostic images. Four blinded observers used the recommended grading system to describe images and outcomes. Intraclass correlation coefficients and Krippendorff's alpha were used to determine reliability and agreement, respectively. RESULTS: Intraclass correlation coefficient for severity was 0.782 (95% confidence interval [CI] 0.722-0.832), for distribution was 0.671 (95% CI 0.540-0.763), for the descriptor raised was 0.635 (95% CI 0.479-0.741), fibrinosuppurative was 0.745 (95% CI 0.651-0.812), haemorrhagic was 0.648 (95% CI 0.513-0.744), hyperaemic was 0.389 (95% CI 0.232-0.522) and for outcome was 0.677 (95% CI 0.559-0.770). Krippendorff's alpha for severity was 0.466 (95% CI 0.466-0.418), for distribution was 0.304 (95% CI 0.234-0.374), for the descriptor raised was 0.268 (95% CI 0.207-0.329), fibrinosuppurative was 0.406 (95% CI 0.347-0.463), haemorrhagic was 0.287 (95% CI 0.229-0.344), hyperaemic was 0.112 (95% CI 0.034-0.188) and for outcome was 0.315 (95% CI 0.218-0.408). There was moderate reliability determined between observers using intra-class correlation coefficients and unacceptable agreement determined between observers using Krippendorff's alpha. DISCUSSION: These results suggest that the current grading system is not comparable between observers, indicating the need to review the grading system or define more robust criteria.

Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images.

PURPOSE: In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single Shot Multibox Detector (SSD). METHOD: In the paper, SSD is based on VGG-16, the fully connected layer is changed to a convolutional layer, and four convolutional layers with successively decreasing scales are added as a new network structure. In order to verify the practicability, it is not only compared with manual polyp detection but also with Mask R-CNN. RESULTS: Multiple experimental results show that the mean Average Precision (mAP) of the SSD network is 95.74%, which is 12.4% higher than the manual detection and 5.7% higher than the Mask R-CNN. When detecting a single frame of image, the detection speed of SSD is 8.41 times that of manual detection. CONCLUSION: Based on the traditional pattern recognition algorithm and the target detection algorithm using deep learning, we select a variety of algorithms to identify and classify polyps to achieve efficient detection results. Our research demonstrates that deep learning has a lot of room for development in the field of gastrointestinal image recognition.

Gastric examination using a novel three-dimensional magnetically assisted capsule endoscope and a hand-held magnetic controller: A porcine model study.

Magnetically assisted capsule endoscopy (MACE) is a noninvasive procedure and can overcome passive capsule movement that limits gastric examination. MACE has been studied in many trials as an alternative to upper endoscopy. However, to increase diagnostic accuracy of various gastric lesions, MACE should be able to provide stereoscopic, clear images and to measure the size of a lesion. So, we conducted the animal experiment using a novel three-dimensional (3D) MACE and a new hand-held magnetic controller for gastric examination. The purpose of this study is to assess the performance and safety of 3D MACE and hand-held magnetic controller through the animal experiment. Subsequently, via the dedicated viewer, we evaluate whether 3D reconstruction images and clear images can be obtained and accurate lesion size can be measured. During real-time gastric examination, the maneuverability and visualization of 3D MACE were adequate. A polypoid mass lesion was incidentally observed at the lesser curvature side of the prepyloric antrum. The mass lesion was estimated to be 10.9 x 11.5 mm in the dedicated viewer, nearly the same size and shape as confirmed by upper endoscopy and postmortem examination. Also, 3D and clear images of the lesion were successfully reconstructed. This animal experiment demonstrates the accuracy and safety of 3D MACE. Further clinical studies are warranted to confirm the feasibility of 3D MACE for human gastric examination.