An unstable patient with a large sucking chest wound managed with gauze packing for preventing tension and bleeding control before surgery in Korea: a case report.

This case report describes the management of a 51-year-old female patient who arrived at the emergency room with a stab wound to the upper right chest. Immediate medical interventions were undertaken, including blood transfusions and endotracheal intubation. To prevent tension and control bleeding, gauze packing was applied directly through the large open wound. Further surgical exploration identified a laceration in the lung, necessitating a right upper lobe resection. Postoperatively, the patient's vital signs stabilized, and she was subsequently discharged without complications. This case highlights the decision-making process in selecting between an emergency department thoracotomy and an operating room thoracotomy for patients with penetrating chest trauma. It also illustrates the role of gauze packing in managing tension and hemorrhage. In summary, gauze packing can be an effective interim measure for stabilizing patients with traumatic injuries, unstable vital signs, and large open chest wounds, particularly when a chest tube is already in place, to prevent tension and facilitate bleeding control prior to surgical intervention.

Changes in shoulder function and muscle strength following rehabilitation exercise program in male patients with forward shoulder posture undergoing rotator cuff repair.

BACKGROUND: Abnormal posture is known to affect the efficacy of exercise therapy for musculoskeletal diseases. However, no studies to date have examined the effect of exercise programs should take into account the posture of the upper body in patients with rotator cuff disease. This study aimed to assess how rotator cuff and corrective exercises impact shoulder function and muscle strength post-arthroscopic rotator cuff repair surgery, providing tailored rehabilitation programs for patients with forward posture. METHODS: Ninety male patients who underwent arthroscopic rotator cuff repair participated in this study. The patients were randomly divided into three groups corrective exercise group (CEG, n = 29), rotator cuff exercise group (REG, n = 27), and control group (CG, n = 28). Each group was instructed to apply different exercise programs to correct posture and enhance rotator cuff strength. All patients were checked by the American Shoulder and Elbow Surgeons (ASES) score, Constant score and muscle strength, and range of motion preoperatively and postoperatively at 6 months and 1 year. RESULTS: ASES shoulder function scores showed significant difference between the three groups (p = 0.002, F = 7.03), indicating that the corrective exercise program was more beneficial than rotator cuff exercises (p = 0.009, F = 3.78). A significant intergroup difference in mean Constant score was also noted (p = 0.025, F = 3.86), while a statistically significant interaction between time and group was observed (p = 0.032, F = 2.96). CONCLUSIONS: These results suggested that a corrective exercise program can improve shoulder muscle strength and function after rotator cuff repair in male patients with a forward shoulder posture.

Characterization of potato starch-high amylose rice starch blend as a substitute of acetylated potato starch in long-life noodle.

This study investigated the suitability of a potato starch (NP)-Dodamssal rice starch (DD) mixture to replace acetylated potato starch (AP) in long-life noodles. Wheat flour (WF) was replaced with AP and NP in 20% of WF, and NP was replaced with DD in 10-50% of NP. The swelling power of the WF-AP mixture was similar to that of all the WF-NP-DD mixtures. The melting enthalpies of the WF-NP-DD mixtures were slightly higher than those of the WF-AP mixtures. The pasting viscosity decreased with increasing DD content of the mixtures. The G' of all the WF-NP-DD mixtures was higher than that of the WF-AP mixture over the temperature profile, and similar G' patterns over time were observed. The tensile strengths of noodles by the WF-NP-DD mixtures were similar to those obtained using the WF and WF-AP mixture. Overall, NP-DD mixtures have the potential to replace AP when mixed with WF. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-024-01628-7.

Edoxaban Antithrombotic Therapy for Atrial Fibrillation and Stable Coronary Artery Disease.

BACKGROUND: Despite consistent recommendations from clinical guidelines, data from randomized trials on a long-term antithrombotic treatment strategy for patients with atrial fibrillation and stable coronary artery disease are still lacking. METHODS: We conducted a multicenter, open-label, adjudicator-masked, randomized trial comparing edoxaban monotherapy with dual antithrombotic therapy (edoxaban plus a single antiplatelet agent) in patients with atrial fibrillation and stable coronary artery disease (defined as coronary artery disease previously treated with revascularization or managed medically). The risk of stroke was assessed on the basis of the CHA2DS2-VASc score (scores range from 0 to 9, with higher scores indicating a greater risk of stroke). The primary outcome was a composite of death from any cause, myocardial infarction, stroke, systemic embolism, unplanned urgent revascularization, and major bleeding or clinically relevant nonmajor bleeding at 12 months. Secondary outcomes included a composite of major ischemic events and the safety outcome of major bleeding or clinically relevant nonmajor bleeding. RESULTS: We assigned 524 patients to the edoxaban monotherapy group and 516 patients to the dual antithrombotic therapy group at 18 sites in South Korea. The mean age of the patients was 72.1 years, 22.9% were women, and the mean CHA2DS2-VASc score was 4.3. At 12 months, a primary-outcome event had occurred in 34 patients (Kaplan-Meier estimate, 6.8%) assigned to edoxaban monotherapy and in 79 patients (16.2%) assigned to dual antithrombotic therapy (hazard ratio, 0.44; 95% confidence interval [CI], 0.30 to 0.65; P<0.001). The cumulative incidence of major ischemic events at 12 months appeared to be similar in the trial groups. Major bleeding or clinically relevant nonmajor bleeding occurred in 23 patients (Kaplan-Meier estimate, 4.7%) in the edoxaban monotherapy group and in 70 patients (14.2%) in the dual antithrombotic therapy group (hazard ratio, 0.34; 95% CI, 0.22 to 0.53). CONCLUSIONS: In patients with atrial fibrillation and stable coronary artery disease, edoxaban monotherapy led to a lower risk of a composite of death from any cause, myocardial infarction, stroke, systemic embolism, unplanned urgent revascularization, or major bleeding or clinically relevant nonmajor bleeding at 12 months than dual antithrombotic therapy. (Funded by the CardioVascular Research Foundation and others; EPIC-CAD ClinicalTrials.gov number, NCT03718559.).

Personalized Deep Learning Model for Clinical Target Volume on Daily Cone Beam Computed Tomography in Breast Cancer Patients.

Purpose: Herein, we developed a deep learning algorithm to improve the segmentation of the clinical target volume (CTV) on daily cone beam computed tomography (CBCT) scans in breast cancer radiation therapy. By leveraging the Intentional Deep Overfit Learning (IDOL) framework, we aimed to enhance personalized image-guided radiation therapy based on patient-specific learning. Methods and Materials: We used 240 CBCT scans from 100 breast cancer patients and employed a 2-stage training approach. The first stage involved training a novel general deep learning model (Swin UNETR, UNET, and SegResNET) on 90 patients. The second stage used intentional overfitting on the remaining 10 patients for patient-specific CBCT outputs. Quantitative evaluation was conducted using the Dice Similarity Coefficient (DSC), Hausdorff Distance (HD), mean surface distance (MSD), and independent samples t test with expert contours on CBCT scans from the first to 15th fractions. Results: IDOL integration significantly improved CTV segmentation, particularly with the Swin UNETR model (P values < .05). Using patient-specific data, IDOL enhanced the DSC, HD, and MSD metrics. The average DSC for the 15th fraction improved from 0.9611 to 0.9819, the average HD decreased from 4.0118 mm to 1.3935 mm, and the average MSD decreased from 0.8723 to 0.4603. Incorporating CBCT scans from the initial treatments and first to third fractions further improved results, with an average DSC of 0.9850, an average HD of 1.2707 mm, and an average MSD of 0.4076 for the 15th fraction, closely aligning with physician-drawn contours. Conclusion: Compared with a general model, our patient-specific deep learning-based training algorithm significantly improved CTV segmentation accuracy of CBCT scans in patients with breast cancer. This approach, coupled with continuous deep learning training using daily CBCT scans, demonstrated enhanced CTV delineation accuracy and efficiency. Future studies should explore the adaptability of the IDOL framework to diverse deep learning models, data sets, and cancer sites.

Self-efficacy-based Interventions for Patients with Obstructive Sleep Apnea: A Systematic Review.

PURPOSE: This study aimed to systematically review self-efficacy-based interventions for patients with obstructive sleep apnea (OSA) and identify the relationship between the number of used techniques for prompting self-efficacy and the main outcome variables. METHODS: This systematic review was conducted in accordance with the PRISMA guidelines. Experimental studies on the use of self-efficacy-based interventions for patients with OSA were analyzed. Five databases, EMBASE, CINAHL, PubMed, SCOPUS, and Web of Science, were systematically searched for articles published until December 2023. Interventions were classified based on the behavior change technique (BCT) taxonomy and the theoretical sources of self-efficacy to conduct a narrative synthesis. RESULTS: Of the 6,968 articles evaluated, 11 were included for analysis (1,304 participants). The results showed that the most frequently employed BCTs in the analyzed studies were "instruction on how to perform a behavior", "exposure", and "social support". Regarding the number of techniques, an average of 6.0 BCTs (range, 4-8) and 3.2 theoretical sources (range, 2-4) were utilized in studies that showed significant improvements in self-efficacy (5 studies), whereas an average of 4.8 BCTs (range, 2-5) and 2.8 theoretical sources (2-3) were used in studies that indicated null results related to self-efficacy (6 studies). CONCLUSIONS: This review underscores the potential of self-efficacy-based interventions in the management of OSA and provides a solid theoretical foundation for designing effective interventions. Additionally, the results indicate that utilizing a greater diversity of BCTs and theoretical sources may contribute to the effectiveness of self-efficacy interventions. Therefore, clinicians should consider incorporating various behavior change techniques and four sources of prompting self-efficacy from self-efficacy theory into interventions to enhance self-efficacy, and consequently, treatment adherence in patients with OSA. TRIAL REGISTRATION NUMBER: Prospective Register of Systematic Reviews (CRD***********).

Fluid biomarkers in the context of amyloid-targeting disease-modifying treatments in Alzheimer's disease.

Clinical management and therapeutics development for Alzheimer's disease (AD) have entered a new era, with recent approvals of monoclonal antibody therapies targeting the underlying pathophysiology of the disease and modifying its trajectory. Imaging and fluid biomarkers are becoming increasingly important in the clinical development of AD therapeutics. This review focuses on the evidence of fluid biomarkers from recent amyloid-ß-targeting clinical trials, summarizing biomarker data across 12 trials. It further proposes a simple framework to put biomarker guidance in the context of amyloid-pathway-targeted disease modification, delineates factors that impact biomarker data in clinical trials, and highlights knowledge gaps and future directions. Increased knowledge and data on biomarkers in the context of disease progression and disease modification will help to better design future AD trials and guide the clinical management of patients on AD-modifying therapies, bringing us closer to the implementation of precision medicine in AD.

Essential knowledge and technical tips for total mesorectal excision and related procedures for rectal cancer.

Total mesorectal excision (TME) has greatly improved rectal cancer surgery outcomes by reducing local recurrence and enhancing patient survival. This review outlines essential knowledge and techniques for performing TME. TME emphasizes the complete resection of the mesorectum along embryologic planes to minimize recurrence. Key anatomical insights include understanding the rectal proper fascia, Denonvilliers fascia, rectosacral fascia, and the pelvic autonomic nerves. Technical tips cover a step-by-step approach to pelvic dissection, the Gate approach, and tailored excision of Denonvilliers fascia, focusing on preserving pelvic autonomic nerves and ensuring negative circumferential resection margins. In Korea, TME has led to significant improvements in local recurrence rates and survival with well-adopted multidisciplinary approaches. Surgical techniques of TME have been optimized and standardized over several decades in Korea, and minimally invasive surgery for TME has been rapidly and successfully adopted. The review emphasizes the need for continuous research on tumor biology and precise surgical techniques to further improve rectal cancer management. The ultimate goal of TME is to achieve curative resection and function preservation, thereby enhancing the patient's quality of life. Accurate TME, multidisciplinary-based neoadjuvant therapy, refined sphincter-preserving techniques, and ongoing tumor research are essential for optimal treatment outcomes.

Minimally Invasive Surgery: Is It a Risk Factor for Postoperative Peritoneal Metastasis in pT4 Colon Cancer?

BACKGROUND: Performing laparoscopic surgery for T4 colon cancer remains controversial because of concerns about whether its oncologic outcomes are comparable to those of open surgery, and postoperative peritoneal metastasis (PM) has been reported to occur more frequently in laparoscopic colectomy for T4 colon cancer. We investigated whether minimally invasive surgery (MIS) demonstrated a higher PM rate than open surgery and analyzed the risk factors for PM in pT4 colon cancer. METHODS: This study included 392 patients with pT4 colon cancer who underwent curative surgery at a referral hospital between January 2000 and December 2018. Patients with previous neoadjuvant therapy, synchronous malignancy, metastasis, or those who underwent hyperthermic intraperitoneal chemotherapy were excluded. RESULTS: The MIS group had fewer high-risk clinical features, such as tumors too large for endoscope admission or complications like perforation and fistula. The group also exhibited shorter operative time, intraoperative blood loss, multivisceral resection, hospital stay, fewer postoperative complications, smaller tumor size, lower pT4b ratio, and higher pN+ rates. Multivariate analysis revealed that high-risk clinical features, MIS, pT4b, pN+, tumor size < 5 cm, high histological grade, lymphovascular invasion, and postoperative complications were significant risk factors for PM. During the median 59-month follow-up, the 5-year cumulative incidence of PM was elevated in the MIS group (17.5% vs. 8.2%; P = 0.057). No significant differences were observed in the 5-year overall and disease-free survival rates. CONCLUSIONS: Minimally invasive surgery increases the risk of postoperative PM in patients with pT4 colon cancer. Surgeons may require thorough tumor staging and radical resection to prevent PM.

Polymer Hosts Containing Carbazole-Dibenzothiophene-Based Pendants for Application in High-Performance Solution-Processed TADF-OLEDs.

The film-forming capability of the host plays a crucial role in effectively forming a light-emitting layer through a solution process in organic light-emitting diodes (OLEDs). In this study, we synthesized two side-chain polymer hosts, PCz-DBT and P2Cz-DBT, consisting of carbazole and dibenzothiophene. The synthesis was carried out through radical polymerization using styrene-based host monomers. Their photophysical characteristics and molecular energy levels are similar to those of the reference small molecule hosts, namely, Cz-DBT and 2Cz-DBT. However, compared to the small-molecule hosts Cz-DBT and 2Cz-DBT, the two polymer hosts showed high thermal stability and good film-forming properties in the neat and host-emitter blend films. Specifically, bluish-green multiple-resonance (MR) thermally activated delayed fluorescence (TADF) OLEDs, fabricated via solution processing with an emissive layer based on P2Cz-DBT, exhibited remarkable performance. These devices achieved a maximum external quantum efficiency of 17.4% without utilizing a hole transport layer. This polymer host design strategy is considered to significantly contribute to enhancing the performance of TADF-OLEDs fabricated through solution processing.

Cation-eutaxy-enabled III-V-derived van der Waals crystals as memristive semiconductors.

Novel two-dimensional semiconductor crystals can exhibit diverse physical properties beyond their inherent semiconducting attributes, making their pursuit paramount. Memristive properties, as exemplars of these attributes, are predominantly manifested in wide-bandgap materials. However, simultaneously harnessing semiconductor properties alongside memristive characteristics to produce memtransistors is challenging. Herein we prepared a class of semiconducting III-V-derived van der Waals crystals, specifically the HxA1-xBX form, exhibiting memristive characteristics. To identify candidates for the material synthesis, we conducted a systematic high-throughput screening, leading us to 44 prospective III-V candidates; of these, we successfully synthesized ten, including nitrides, phosphides, arsenides and antimonides. These materials exhibited intriguing characteristics such as electrochemical polarization and memristive phenomena while retaining their semiconductive attributes. We demonstrated the gate-tunable synaptic and logic functions within single-gate memtransistors, capitalizing on the synergistic interplay between the semiconducting and memristive properties of our two-dimensional crystals. Our approach guides the discovery of van der Waals materials with unique properties from unconventional crystal symmetries.

Maxillary Reconstruction with Free Vascularized Fibula: 15-Year Experience.

BACKGROUND: Reconstruction of the midface after maxillectomy is extremely challenging due to the need to reestablish the contour of the midface, maintain oronasal separation, support the orbit, and to restore the dentition. In this study, we present our specific technique, surgical and functional outcomes, and pitfalls to avoid for reconstruction of the midface with the fibula osteocutaneous free flap. METHODS: A retrospective review of patients who underwent maxillary reconstruction with a fibula osteocutaneous free flap was performed. RESULTS: Eighty-five flaps were performed in 73 patients (61 patients received a fibula flap only; 12 patients received an additional soft tissue free flap). Reconstructions were performed for 82.2% Cordeiro type 2 and 18.8 % Cordeiro type 3a defects. Osseointegrated dental implants were placed in 95.9% of patients, 13.7% of whom underwent immediate implant placement. Concurrent orbital floor reconstruction was performed in 16.2% of patients. The rate of operative takeback was 18.9%, and total flap loss occurred in 2.7%. Hardware exposure occurred in 11.0% at a mean of 4.4 years postoperatively and palatal fistulae occurred in 5.5%, usually within the first 3 weeks following reconstruction. Functionally, 79.5% demonstrated excellent speech and 80.9% had unrestricted diet postoperatively. The mean follow-up period was 3.4 years. CONCLUSIONS: The present study shows that maxillary reconstruction with free fibula flap provides reliable reconstruction that restores dental, orbital, and midfacial support. Modifications and nuances to the reconstructive technique learned over time to avoid complications and improve outcomes are described herein.

Effect of intramolecular energy transfer in a dual-functional molecular dyad on the performance of solution-processed TADF OLEDs.

This paper introduces the design concept of a dual-functional molecular dyad tailored specifically for solution-processable organic light-emitting diodes (OLEDs). Cy-tmCPBN, characterized by an asymmetric molecular dyad structure, integrates a host unit (tmCP) and a multiple-resonance (MR) emitter (CzBN) via a non-conjugated cyclohexane linker. Cy-tmCPBN exhibited efficient intramolecular energy transfers (EnTs) from tmCP to the CzBN unit, as confirmed by time-resolved fluorescence experiments. The fluorescence lifetime of the tmCP unit was approximately three times shorter in a highly diluted solution of Cy-tmCPBN than in a mixed solution of Cy-tmCP and Cy-CzBN. In addition, Cy-tmCPBN exhibited excellent solubility and film-forming ability, making it suitable for solution processing. Notably, OLEDs utilizing Cy-tmCPBN achieved over twice the brightness and improved external quantum efficiency of 12.3% compared to OLEDs using Cy-CzBN with the same concentration of CzBN in the emitting layer. The improved OLED performance can be explained by the increased EnT efficiency from Cy-tmCP to Cy-tmCPBN and the intramolecular EnT within Cy-tmCPBN. In our dual-functional dyad, incorporating both host and emitter units in an asymmetric molecular dyad structure, we induced a positive synergy effect with the host moiety, enhancing OLED performance through intramolecular EnT.

Initial case series experience with robotic-assisted transanal minimally invasive surgery performed with da Vinci single-port system for the excision of rectal cancer.

BACKGROUND: Transanal minimally invasive surgery (TAMIS) is widely used for rectal lesion excision. Robot-assisted TA TAMIS (R-TAMIS) may improve surgical ergonomics. The introduction of the da Vinci Single-Port (SP) robot, designed for endoluminal surgery, has brought new possibilities. Our primary objective herein was to assess the technical and oncological feasibility and efficacy of Single-port robotic TAMIS (SPR-TAMIS) in rectal cancer excision. The secondary objective was to analyze the perioperative outcomes. MATERIALS AND METHODS: We included 14 consecutive patients with rectal cancer who underwent SPR-TAMIS between April 2021 and February 2023. Patient data, surgical details, and clinical outcome data were collected to assess the safety and feasibility of SPR-TAMIS. RESULTS: The median participant age was 72 years, and full-thickness excision was performed without specimen fragmentation in all cases. The median tumor diameter was 2.7 cm, positioned between 10 cm proximally and 7 cm distally from the anal verge. Negative margins were achieved in 93% of cases, with one case requiring further resection. The median operative time was 175 min, and the median hospital stay was 5 days. No intraoperative conversion from SPR-TAMIS to laparoscopic or conventional transanal excision was required. No mortalities or major postoperative complications occurred; however, one patient (7.1%) experienced minor morbidity manifesting as wound dehiscence (Clavien-Dindo grade I). No recurrence was observed during the 24-month follow-up. CONCLUSIONS: In our early experience, SPR-TAMIS is a safe and feasible surgery for selected early stage rectal cancers, offering enhanced visualization and stable maneuverability transanally. This platform may have potential advantages for the excision of larger or more proximal lesions.

Ultrasonographic differential diagnosis of medial elbow pain.

Medial elbow pain is a common musculoskeletal problem among individuals engaging in repetitive activities. Medial epicondylitis is the predominant cause of this pain. However, other potential causes must be considered as part of the differential diagnosis. This article discusses several etiologies of medial elbow pain, including medial epicondylitis, ulnar neuropathy, snapping triceps syndrome, ulnar collateral ligament injury, medial antebrachial cutaneous neuropathy, and diseases of the elbow joint, with an emphasis on ultrasound (US) findings. Awareness of possible diagnoses and their US features can assist radiologists in establishing a comprehensive diagnosis for medial elbow pain.

Semi-supervised abdominal multi-organ segmentation by object-redrawing.

BACKGROUND: Multi-organ segmentation is a critical task in medical imaging, with wide-ranging applications in both clinical practice and research. Accurate delineation of organs from high-resolution 3D medical images, such as CT scans, is essential for radiation therapy planning, enhancing treatment outcomes, and minimizing radiation toxicity risks. Additionally, it plays a pivotal role in quantitative image analysis, supporting various medical research studies. Despite its significance, manual segmentation of multiple organs from 3D images is labor-intensive and prone to low reproducibility due to high interoperator variability. Recent advancements in deep learning have led to several automated segmentation methods, yet many rely heavily on labeled data and human anatomy expertise. PURPOSE: In this study, our primary objective is to address the limitations of existing semi-supervised learning (SSL) methods for abdominal multi-organ segmentation. We aim to introduce a novel SSL approach that leverages unlabeled data to enhance the performance of deep neural networks in segmenting abdominal organs. Specifically, we propose a method that incorporates a redrawing network into the segmentation process to correct errors and improve accuracy. METHODS: Our proposed method comprises three interconnected neural networks: a segmentation network for image segmentation, a teacher network for consistency regularization, and a redrawing network for object redrawing. During training, the segmentation network undergoes two rounds of optimization: basic training and readjustment. We adopt the Mean-Teacher model as our baseline SSL approach, utilizing labeled and unlabeled data. However, recognizing significant errors in abdominal multi-organ segmentation using this method alone, we introduce the redrawing network to generate redrawn images based on CT scans, preserving original anatomical information. Our approach is grounded in the generative process hypothesis, encompassing segmentation, drawing, and assembling stages. Correct segmentation is crucial for generating accurate images. In the basic training phase, the segmentation network is trained using both labeled and unlabeled data, incorporating consistency learning to ensure consistent predictions before and after perturbations. The readjustment phase focuses on reducing segmentation errors by optimizing the segmentation network parameters based on the differences between redrawn and original CT images. RESULTS: We evaluated our method using two publicly available datasets: the beyond the cranial vault (BTCV) segmentation dataset (training: 44, validation: 6) and the abdominal multi-organ segmentation (AMOS) challenge 2022 dataset (training:138, validation:16). Our results were compared with state-of-the-art SSL methods, including MT and dual-task consistency (DTC), using the Dice similarity coefficient (DSC) as an accuracy metric. On both datasets, our proposed SSL method consistently outperformed other methods, including supervised learning, achieving superior segmentation performance for various abdominal organs. These findings demonstrate the effectiveness of our approach, even with a limited number of labeled data. CONCLUSIONS: Our novel semi-supervised learning approach for abdominal multi-organ segmentation addresses the challenges associated with this task. By integrating a redrawing network and leveraging unlabeled data, we achieve remarkable improvements in accuracy. Our method demonstrates superior performance compared to existing SSL and supervised learning methods. This approach holds great promise in enhancing the precision and efficiency of multi-organ segmentation in medical imaging applications.

Multi-modal co-learning with attention mechanism for head and neck tumor segmentation on 18FDG PET-CT.

PURPOSE: Effective radiation therapy requires accurate segmentation of head and neck cancer, one of the most common types of cancer. With the advancement of deep learning, people have come up with various methods that use positron emission tomography-computed tomography to get complementary information. However, these approaches are computationally expensive because of the separation of feature extraction and fusion functions and do not make use of the high sensitivity of PET. We propose a new deep learning-based approach to alleviate these challenges. METHODS: We proposed a tumor region attention module that fully exploits the high sensitivity of PET and designed a network that learns the correlation between the PET and CT features using squeeze-and-excitation normalization (SE Norm) without separating the feature extraction and fusion functions. In addition, we introduce multi-scale context fusion, which exploits contextual information from different scales. RESULTS: The HECKTOR challenge 2021 dataset was used for training and testing. The proposed model outperformed the state-of-the-art models for medical image segmentation; in particular, the dice similarity coefficient increased by 8.78% compared to U-net. CONCLUSION: The proposed network segmented the complex shape of the tumor better than the state-of-the-art medical image segmentation methods, accurately distinguishing between tumor and non-tumor regions.

The effect of ADAMTS13 on graft-versus-host disease.

Allogeneic haematopoietic stem cell transplantation (allo-HSCT) can potentially cure malignant blood disorders and benign conditions such as haemoglobinopathies and immunologic diseases. However, allo-HSCT is associated with significant complications. The most common and debilitating among them is graft-versus-host disease (GVHD). In GVHD, donor-derived T cells mount an alloimmune response against the recipient. The alloimmune response involves several steps, including recognition of recipient antigens, activation and proliferation of T cells in secondary lymphoid organs, and homing into GVHD-targeted organs. Adhesion molecules on T cells and endothelial cells mediate homing of T cells into lymphoid and non-lymphoid tissues. In this study, we showed that Von Willebrand factor (VWF), an adhesion molecule secreted by activated endothelial cells, plays an important role in mouse models of GVHD. We investigated the effect of the VWF-cleaving protease ADAMTS13 on GVHD. We found that ADAMTS13 reduced the severity of GVHD after bone marrow transplantation from C57BL6 donor to BALB/C recipient mice. A recombinant VWF-A2 domain peptide also reduced GVHD in mice. We showed that ADAMTS13 and recombinant VWF-A2 reduced the binding of T cells to endothelial cells and VWF in vitro, and reduced the number of T cells in lymph nodes, Peyer's patches and GVHD-targeted organs in vivo. We identified LFA-1 (αLß2) as the binding site of VWF on T cells. Our results showed that blocking T-cell homing by ADAMTS13 or VWF-A2 peptide reduced the severity of the GVHD after allo-HSCT, a potentially novel method for treating and preventing GVHD.