Multiple gastrointestinal magnetic foreign bodies in children

Objective: To introduce the analysis of the clinical picture, treatment strategy and complications among children having multiple foreign magnetic bodies (FB).Methods: Retrospective analysis of the treatment of 796 children from 2013 to September 2021 having stomach and intestine FB. Comprehensive study included plan radiography of the abdomen, fiberoptic gastroduodenoscopy, etc.Results: Magnets were detected in 33 (4.15%) out of 796 cases. 9 patients swallowed multiple foreign magnetic bodies (FB) within time interval. The parts fixed in different parts of gastrointestinal tract (GIT) and required surgical removal. All patients had multiple perforations of different GIT parts. It required suturing gut wall, bowel resection applying gastrointestinal anasto mosis and celiogrhaphy, resection applying anastomosis and by leaving the programmed laparostomy. Every patient recovered. Algorithm of supervision of children having FB GIT.Conclusions: Multiple foreign magnetic bodies of GIT among children in the current moment are the most dangerous foreign objects accompanied with big amount of complications. They are observed among children of any age and gender and require complicated and long surgical interventions. Multiple foreign magnetic bodies of GIT can be suspected in case of severe surgical pathology along with the lack of passage of radiopaque FB in GIT. Urgent surgical intervention is required in case of detecting it.

Pediatric cardiac tamponade caused by metallic wire penetration into the heart: A case report and literature review

Thin, metallic wires can easily penetrate the gastrointestinal system if ingested and cause serious cardiac issues in children. We report a pediatric case of such an object that caused cardiac tamponade after lodging in the left ventricle. The wire was extracted without cardiopulmonary bypass and a full recovery was made. Cardiac issues after ingestion of foreign objects are rare but immediate surgery is required for resolution.

Rupture of the Superior Sagittal Sinus in Penetrating Head Injury—Management of a Rare Trauma Mechanism

Civilian penetrating head injury caused by foreign objects is rare in Germany (Europe), but can result in complex neurovascular damage. We report on a patient who in suicidal intent inflicted on himself a penetrating brain injury near the vertex with a captive bolt gun. A laceration at the junction of the middle to the posterior third of the superior sinus occurred by bolt and bone fragments leading to critical stenosis and subsequent thrombosis. Upon surgery, the proximal and distal sinus openings were completely thrombosed. The sinus laceration was closed by suture and the intraparenchymal bone fragments were retrieved. Postoperative angiography disclosed persistent occlusion of the superior sagittal sinus. The patient did not develop any symptoms due to venous congestion (edema, hemorrhage), suggesting sufficient collateral venous outflow. The patient completely recovered despite the complexity of the lesion.

Concept MSBS GROT Rifle Upper Receiver Shield to Protect Against Foreign Objects

This paper presents a concept for shielding the MSBS (Modular Firearms System) Grot rifle upper receiver against foreign objects. The concept guidelines involve feedback from Grot operators concerning the regular operation of the rifle plus an extensive analysis of desktop patent research into foreign debris shields (or dust shields) for protection of the upper receiver interior in firearms. The completed patent desktop research included solutions used with automatic, semi-automatic and non-automatic firearms. The research work drove the formulation of the requirements for an upper receiver dust shield for the 5.56 mm calibre MSBS Grot rifle as part of the ongoing improvement process. This paper presents three concepts of the carrier charging handle assembly dust shield (for the protection of the upper receiver against foreign objects) for the MSBS-5.56 rifle system. The concepts described vary in terms of the level of structural complexity of the dust shield, and the extent of the modifications required to the upper receiver of the rifle. With test units of the upper receiver dust shield manufactured and comparative tests completed on the three concepts, the version selected should be the one which improves the protection of the rifle internals from foreign objects found in the local environment, including sand, clay, silt, and mud, the latter being an aqueous suspension of these particles.

U-Net-Based Foreign Object Detection Method Using Effective Image Acquisition System: A Case of Almond and Green Onion Flake Food Process

Supervised deep learning-based foreign object detection algorithms are tedious, costly, and time-consuming because they usually require a large number of training datasets and annotations. These disadvantages make them frequently unsuitable for food quality evaluation and food manufacturing processes. However, the deep learning-based foreign object detection algorithm is an effective method to overcome the disadvantages of conventional foreign object detection methods mainly used in food inspection. For example, color sorter machines cannot detect foreign objects with a color similar to food, and the performance is easily degraded by changes in illuminance. Therefore, to detect foreign objects, we use a deep learning-based foreign object detection algorithm (model). In this paper, we present a synthetic method to efficiently acquire a training dataset of deep learning that can be used for food quality evaluation and food manufacturing processes. Moreover, we perform data augmentation using color jitter on a synthetic dataset and show that this approach significantly improves the illumination invariance features of the model trained on synthetic datasets. The F1-score of the model that trained the synthetic dataset of almonds at 360 lux illumination intensity achieved a performance of 0.82, similar to the F1-score of the model that trained the real dataset. Moreover, the F1-score of the model trained with the real dataset combined with the synthetic dataset achieved better performance than the model trained with the real dataset in the change of illumination. In addition, compared with the traditional method of using color sorter machines to detect foreign objects, the model trained on the synthetic dataset has obvious advantages in accuracy and efficiency. These results indicate that the synthetic dataset not only competes with the real dataset, but they also complement each other.

Detecting, extracting and classifying foreign objects in inter-basin channels to ensure water supply safety

Foreign objects (e.g., livestock, rafting, and vehicles) intruded into inter-basin channels pose threats to water quality and water supply safety. Timely detection of the foreign objects and acquiring relevant information (e.g., quantities, geometry, and types) is a premise to enforce proactive measures to control potential loss. Large-scale water channels usually span a long distance and hence are difficult to be efficiently covered by manual inspection. Applying unmanned aerial vehicles for inspection can provide time-sensitive aerial images, from which intrusion incidents can be visually pinpointed. To automate the processing of such aerial images, this paper aims to propose a method based on computer vision to detect, extract, and classify foreign objects in water channels. The proposed approach includes four steps, i.e., aerial image preprocessing, abnormal region detection, instance extraction, and foreign object classification. Experiments demonstrate the efficacy of the approach, which can recognize three typical foreign objects (i.e., livestock, rafting, and vehicle) with a robust performance. The proposed approach can raise early awareness of intrusion incidents in water channels for water quality assurance.

Detection of Foreign Bodies in Soft Foods Employing Tactile Image Sensor

In the inspection work involving foodstuffs in food factories, there are cases where people not only visually inspect foodstuffs, but must also physically touch foodstuffs with their hands to find foreign or undesirable objects mixed in the product. To contribute to the automation of the inspection process, this paper proposes a method for detecting foreign objects in food based on differences in hardness using a camera-based tactile image sensor. Because the foreign objects to be detected are often small, the tactile sensor requires a high spatial resolution. In addition, inspection work in food factories requires a sufficient inspection speed. The proposed cylindrical tactile image sensor meets these requirements because it can efficiently acquire high-resolution tactile images with a camera mounted inside while rolling the cylindrical sensor surface over the target object. By analyzing the images obtained from the tactile image sensor, we detected the presence of foreign objects and their locations. By using a reflective membrane-type sensor surface with high sensitivity, small and hard foreign bodies of sub-millimeter size mixed in with soft food were successfully detected. The effectiveness of the proposed method was confirmed through experiments to detect shell fragments left on the surface of raw shrimp and bones left in fish fillets.