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Juvenile trabecular ossifying fibroma (JTOF) is a rare variant of ossifying fibroma. Though it is benign, it has aggressive clinical behavior. JTOF may pose diagnostic and therapeutic difficulties due to their clinical, radiological and histological variability. Herein, we describe our experience in encountering this unusual disease entity in terms diagnostics as well as surgical procedure and the differential diagnoses to be considered.

An 8-year old female child presented to our facility because of a rapidly growing right maxillary swelling. Clinical examination revealed facial asymmetry resulted from the swelling on the right side of her face extra-orally, especially in her posterior upper jaw which was about 12cm×7cm in dimension. Intra-oral examination revealed solitary mass, well-defined, firm in consistency and non-tender. There were no palpable lymph nodes. Infra- orbital nerves were bilaterally intact. Based on the clinical findings and history, the differential diagnoses of ossifying fibroma, ameloblastoma and fibrous dysplasia were given. Clinico-pathological and radiological correlation confirmed the diagnosis of JTOF. Bozitinib nmr Hemimaxillectomy and reconstruction of maxilla with a rib were performed. Afterwards, the child reported with normal facial appearance, acceptable aesthetics and better chewing function.

The clinical presentation of JTOF, and its rapid growth, can cause alarm of other pathologies such as osteosarcoma. The radiological features should reassure the practitioner and a histological examination confirmed the diagnosis.

JTOF is a benign tumor and it should be operated at an early stage because of its rapid growth.

JTOF is a benign tumor and it should be operated at an early stage because of its rapid growth.• Laparoscopic right hemicolectomy is performed only in 25% of cases in recent survey. • The medial-to-lateral and the bottom-to-up are the most frequent approaches used to perform surgery. • Top-to-down right hemicolectomy is an infrequent approach. • Obesity is an evident aspect complicating surgical dissection. • Top-to Down dissection could be an opportunity to use as alternative approach when classical dissection becomes intricate.

Intussusception of the cecum due to acute appendicitis is rare condition.

A 17-year-old male patient presented to our hospital with a chief complaint of right lower abdominal pain, which had lasted for two days. Computed tomography (CT) revealed a "target sign" from the cecum to the ascending colon, leading to a diagnosis of cecocolic intussusception. Colonoscopy revealed an erythematous, edematous, and internally distorted cecum in the ascending colon, which was difficult to repair with air insufflation. Laparoscopic surgery was performed to remove the bowel obstruction. Repositioning of the invaginated cecum was difficult due to the presence of a hard and edematous colic wall. Therefore, laparoscopic ileocecal resection was performed to release the obstruction. The pathological diagnosis was appendicitis and abscess within the cecum wall, with no malignant findings.

In our case, intussusception was considered to have caused thickening of the intestinal wall of the cecum due to inflammation of the appendix, and the thickened area became the leading point.

Considering that malignancy is a frequent leading point in adult patients with intussusception, a preoperative endoscopic examination is important for minimizing bowel resection.

Considering that malignancy is a frequent leading point in adult patients with intussusception, a preoperative endoscopic examination is important for minimizing bowel resection.Aggregates of charged metal particles obtained by electrostatic coupling with a compound of opposite charge in the vicinity of the net zero charge ratio are of interest in the field of plasmonics because the inter-particle distance is minimal, which favours plasmonic coupling. However, these structures present a low colloidal stability limiting the development of applications. In this article we show that globally neutral aggregates formed by electrostatic complexation of citrate-stabilized gold particles and a quaternized chitosan (i.e., polycation) around the net zero charge ratio could be stabilized at a nanometric size by the subsequent addition of polyelectrolyte chains. Furthermore, the sign of the charge carried by the stabilizing chains determines the sign of the global charge carried by the stabilized complexes. The stabilization is demonstrated in saline environment on a broad pH range as well as in a cell culture media over periods of several days. Contrarily to stabilization by charged particles, our stabilized complexes are found to retain their initial characteristics (i.e. shape, size, internal structure and optical properties) after stabilization. Hence, the plasmonic coupling allows to maximize the optical absorption around the 800 nm wavelength at which the lasers used for thermoplasmonic and surface enhanced Raman scattering analysis operate.In this work, a bilayer nanocoating was constructed on the surface of flexible polyurethane (FPU) foam with Ti3C2 MXene and polyethyleneimine-modified silica nanoparticles (mSiO2-NP@PEI) through layer-by-layer self-assembly technology, successfully obtaining modified flexible polyurethane composites (MFPU) with excellent flame retardancy, photothermal conversion and solar water desalination properties. The structure and morphology of MFPU foams were characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Transmission electron microscope (TEM) and Scanning electron microscope (SEM). The MFPU with three coating cycles (MFPU3) had the best flame retardancy and smoke suppression performances, mainly in terms of decreased peak heat release rate (pHRR), peak smoke production rate (pSPR) and total smoke production (TSP) by 71.3 %, 62.1 % and 74.5 %, respectively, compared to those of neat FPU. In addition, MFPU foams exhibited extraordinary light-to-heat conversion and solar water desalination capabilities. MFPU3 could reach 120 °C in 138 s and its steam conversion efficiency η was as high as 89.6 %, which was 116.0 % higher than that of unmodified foam and had a 262.8 % increase over pure water. The flame retardant MFPU foams with excellent photothermal conversion efficiency will exhibit great application potential in solar water desalination and power generation.The target of EGR1 protein 1 (TOE1) is evolutionarily conserved from Caenorhabditis elegans to mammals, which plays a critical role in the maturation of a variety of small nuclear RNAs. Mutation in human TOE1 has been reported to cause pontocerebellar hypoplasia type 7, a severe neurodegenerative syndrome. However, the role of TOE1 in early embryonic development remains unclear. Herein, we found that Toe1 mRNA and protein were expressed in mouse preimplantation embryos. Silencing Toe1 by siRNA led to morula-to-blastocyst transition failure. This developmental arrest can be rescued by Toe1 mRNA microinjection. EdU incorporation assay showed a defect in blastomere proliferation within developmentally arrested embryos. Further studies revealed that Toe1 knockdown caused increased signals for γH2AX and micronuclei, indicative of sustained DNA damage. Moreover, mRNA levels of cell cycle inhibitor p21 were significantly upregulated in Toe1 knockdown embryos before developmental arrest. Together, these results suggest that TOE1 is indispensable for mouse early embryo development potentially through maintaining genomic integrity. Our findings provide further insight into the role of TOE1 in mouse preimplantation embryonic development.The mapping of the time-dependent evolution of the human brain connectivity using longitudinal and multimodal neuroimaging datasets provides insights into the development of neurological disorders and the way they alter the brain morphology, structure and function over time. Recently, the connectional brain template (CBT) was introduced as a compact representation integrating a population of brain multigraphs, where two brain regions can have multiple connections, into a single graph. Given a population of brain multigraphs observed at a baseline timepoint t1, we aim to learn how to predict the evolution of the population CBT at follow-up timepoints t>t1. Such model will allow us to foresee the evolution of the connectivity patterns of healthy and disordered individuals at the population level. Here we present recurrent multigraph integrator network (ReMI-Net⋆) to forecast population templates at consecutive timepoints from a given single timepoint. In particular, we unprecedentedly design a graph neural network architecture to model the changes in the brain multigraph and identify the biomarkers that differentiate between the typical and atypical populations. Addressing such issues is of paramount importance in diagnosing neurodegenerative disorders at early stages and promoting new clinical studies based on the pinned-down biomarker brain regions or connectivities. In this paper, we demonstrate the design and use of the ReMI-Net⋆ model, which learns both the multigraph node level and time level dependencies concurrently. Thanks to its novel graph convolutional design and normalization layers, ReMI-Net⋆ predicts well-centered, discriminative, and topologically sound connectional templates over time. Additionally, the results show that our model outperforms all benchmarks and state-of-the-art methods by comparing and discovering the atypical connectivity alterations over time. Our ReMI-Net⋆ code is available on GitHub at https//github.com/basiralab/ReMI-Net-Star.We present a method for suppressing motion artifacts in anatomical magnetic resonance acquisitions. Our proposed technique, termed MOTOR-MRI, can recover and salvage images which are otherwise heavily corrupted by motion induced artifacts and blur which renders them unusable. Contrary to other techniques, MOTOR-MRI operates on the reconstructed images and not on k-space data. It relies on breaking the standard acquisition protocol into several shorter ones (while maintaining the same total acquisition time) and subsequent efficient aggregation in Fourier space of locally sharp and consistent information among them, producing a sharp and motion mitigated image. We demonstrate the efficacy of the technique on T2-weighted turbo spin echo magnetic resonance brain scans with severe motion corruption from both 3 T and 7 T scanners and show significant qualitative and quantitative improvement in image quality. MOTOR-MRI can operate independently, or in conjunction with additional motion correction methods.Automatic segmentation of the placenta in fetal ultrasound (US) is challenging due to the (i) high diversity of placenta appearance, (ii) the restricted quality in US resulting in highly variable reference annotations, and (iii) the limited field-of-view of US prohibiting whole placenta assessment at late gestation. In this work, we address these three challenges with a multi-task learning approach that combines the classification of placental location (e.g., anterior, posterior) and semantic placenta segmentation in a single convolutional neural network. Through the classification task the model can learn from larger and more diverse datasets while improving the accuracy of the segmentation task in particular in limited training set conditions. With this approach we investigate the variability in annotations from multiple raters and show that our automatic segmentations (Dice of 0.86 for anterior and 0.83 for posterior placentas) achieve human-level performance as compared to intra- and inter-observer variability.

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