Successful post-incomplete resection management of gastrointestinal stromal tumor using imatinib based on adenosine triphosphate-based tumor sensitivity assay in a dog.

Gastrointestinal stromal tumors arising from gastric cardia are uncommon in dogs. A few studies have shown the effectiveness of tyrosine kinase inhibitors in the treatment of canine gastrointestinal stromal tumors, but no standardized protocols are currently available. An 11-year-old spayed female Maltese dog was diagnosed with a gastrointestinal stromal tumor using histopathological and immunohistochemical analyses. An adenosine triphosphate-based tumor chemosensitivity assay revealed that imatinib at lower concentrations had a stronger inhibitory effect than toceranib. Based on the results of the assay, the dog was treated with imatinib after surgery. After 28 mo of therapy, there was no recurrence of the tumor. Key clinical message: Adenosine triphosphate-based tumor chemosensitivity assays may help clinicians to select appropriate postoperative chemotherapeutic drugs for incompletely resected gastrointestinal stromal tumors in dogs.

Gestion réussie à la suite d'une résection incomplète d'une tumeur stromale gastro-intestinale à l'aide de l'imatinib basée sur un test de sensibilité tumorale à base d'adénosine triphosphate chez un chien. Les tumeurs stromales gastro-intestinales résultant du cardia gastrique sont rares chez le chien. Quelques études ont montré l'efficacité des inhibiteurs de la tyrosine kinase dans le traitement des tumeurs stromales gastrointestinales canines, mais aucun protocole standardisé n'est actuellement disponible. Une chienne maltaise stérilisée de 11 ans a reçu un diagnostic de tumeur stromale gastro-intestinale à l'aide d'analyses histopathologiques et immunohistochimiques. Un test de chimiosensibilité tumorale à base d'adénosine triphosphate a révélé que l'imatinib à des concentrations plus faibles avait un effet inhibiteur plus fort que le tocéranib. Sur la base des résultats du test, le chien a été traité avec de l'imatinib après l'opération. Après 28 mois de traitement, il n'y a eu aucune récidive de la tumeur.Message clinique clé :Les tests de chimiosensibilité tumorale à base d'adénosine triphosphate peuvent aider les cliniciens à sélectionner les médicaments chimiothérapeutiques postopératoires appropriés pour les tumeurs stromales gastro-intestinales incomplètement réséquées chez le chien.(Traduit par Dr Serge Messier).

Facile Synthesis of Multifunctional Mesoporous Starch-Based Microparticle for Effective Hemostasis and Wound Healing.

Uncontrolled hemorrhage and infection are the principal causes of mortality associated with trauma in both military and civilian medical settings. Modified starch granules have emerged as a safe hemostatic agent for irregular and noncompressible wounds, but their performance is constrained by limited hemostasis efficiency and modest antibacterial activity. This study reported a directed self-assembly approach for a multifunctional mesoporous starch-based microparticle loaded with chitosan and calcium ions (Ca@MSMP) used for rapid hemostasis and wound healing. Directed self-assembly of uniform Ca@MSMP with a hierarchical hollow structure in the presence of chitosan was confirmed by scanning electron microscopy (SEM) analysis and pore structure analysis. The resulting Ca@MSMP exhibited a well-defined spherical shape and uniform size of 1 µm and demonstrated excellent antibacterial activity (>95%) without hemolytic activity. Importantly, Ca@MSMP enhanced blood coagulation and platelet aggregation via the synergistic effect of rapid calcium release and chitosan-mediated electrostatic interactions, leading to a significant decrease in blood loss and reduction in hemostasis time in rat tail amputation and liver injury models. In comparative analyses, Ca@MSMP significantly outperformed the commercial hemostatic agent Quickclean, notably enhancing the healing of full-thickness skin wounds in vivo by effectively preventing infection. These results underscore the potential of this innovative hemostatic material in diverse clinical scenarios, offering effective solutions for the management of bleeding in wounds that are irregularly shaped and noncompressible.

Artificial intelligence-based radiographic extent analysis to predict tuberculosis treatment outcomes: a multicenter cohort study.

Predicting outcomes in pulmonary tuberculosis is challenging despite effective treatments. This study aimed to identify factors influencing treatment success and culture conversion, focusing on artificial intelligence (AI)-based chest X-ray analysis and Xpert MTB/RIF assay cycle threshold (Ct) values. In this retrospective study across six South Korean referral centers (January 1 to December 31, 2019), we included adults with rifampicin-susceptible pulmonary tuberculosis confirmed by Xpert assay from sputum samples. We analyzed patient characteristics, AI-based tuberculosis extent scores from chest X-rays, and Xpert Ct values. Of 230 patients, 206 (89.6%) achieved treatment success. The median age was 61 years, predominantly male (76.1%). AI-based radiographic tuberculosis extent scores (median 7.5) significantly correlated with treatment success (odds ratio [OR] 0.938, 95% confidence interval [CI] 0.895-0.983) and culture conversion at 8 weeks (liquid medium: OR 0.911, 95% CI 0.853-0.973; solid medium: OR 0.910, 95% CI 0.850-0.973). Sputum smear positivity was 49.6%, with a median Ct of 26.2. However, Ct values did not significantly correlate with major treatment outcomes. AI-based radiographic scoring at diagnosis is a significant predictor of treatment success and culture conversion in pulmonary tuberculosis, underscoring its potential in personalized patient management.

Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study.

BACKGROUND: Multimorbidity is a crucial factor that influences premature death rates, poor health, depression, quality of life, and use of health care. Approximately one-fifth of the global workforce is involved in shift work, which is associated with increased risk for several chronic diseases and multimorbidity. About 12% to 14% of wage workers in Korea are shift workers. However, the prevalence of multimorbidity and its associated factors in Korean shift workers are rarely reported. OBJECTIVE: This study aimed to assess multimorbidity prevalence, examine the factors associated with multimorbidity, and identify multimorbidity patterns among shift workers in Korea. METHODS: This study is a population-based cross-sectional study using Korea National Health and Nutrition Examination Survey data from 2016 to 2020. The study included 1704 (weighted n=2,697,228) Korean shift workers aged 19 years and older. Multimorbidity was defined as participants having 2 or more chronic diseases. Demographic and job-related variables, including regular work status, average working hours per week, and shift work type, as well as health behaviors, including BMI, smoking status, alcohol use, physical activity, and sleep duration, were included in the analysis. A survey-corrected logistic regression analysis was performed to identify factors influencing multimorbidity among the workers, and multimorbidity patterns were identified with a network analysis. RESULTS: The overall prevalence of multimorbidity was 13.7% (302/1704). Logistic regression indicated that age, income, regular work, and obesity were significant factors influencing multimorbidity. Network analysis results revealed that chronic diseases clustered into three groups: (1) cardiometabolic multimorbidity (hypertension, dyslipidemia, diabetes, coronary heart disease, and stroke), (2) musculoskeletal multimorbidity (arthritis and osteoporosis), and (3) unclassified diseases (depression, chronic liver disease, thyroid disease, asthma, cancer, and chronic kidney disease). CONCLUSIONS: The findings revealed that several socioeconomic and behavioral factors were associated with multimorbidity among shift workers, indicating the need for policy development related to work schedule modification. Further organization-level screening and intervention programs are needed to prevent and manage multimorbidity among shift workers. We also recommend longitudinal studies to confirm the effects of job-related factors and health behaviors on multimorbidity among shift workers in the future.

Comparative Three-dimensional Analysis of Philtral Ridge Projection in Unilateral Cleft Lip Repair enhanced with Muscle to sub-Dermis suture.

INTRODUCTION: Recreating the philtral ridge and restoring orbicularis oris muscle continuity in cleft patients is a challenging task. Our muscle to sub-dermis technique introduces an effective method for achieving the desired philtral ridge reconstruction. METHOD: From August 2015 to July 2023, a retrospective study was conducted with a follow-up period of at least 6 months. This procedure involved a suture technique using muscle-to-sub-dermis sutures. Measurements of philtral projection were taken at two distinct points: one above the cupid's bow and the other at the mid-philtral level. In the comparative analysis of philtral ridges between the cleft and non-cleft sides, the root mean square (RMS) projection value was assessed. Additionally, an analysis of the restoration of the orbicularis oris muscle included the use of color mapping from the mid-sagittal plane and covered seven different points across three distinct horizontal planes: below subnasale, at the mid-philtral level, and above the cupid's bow. RESULTS: Total 134 patients were included with a 37.8-month follow-up(SD 9.4). Philtral side projection was well-maintained, measuring -0.36(0.43)mm, -0.24(0.49)mm on the classical group vs. 0.23(0.29)mm, 0.20(0.21)mm on the muscle to sub-dermis group(p=0.001). The RMS projection value was 0.57(0.46) vs. 0.14(0.046), indicating greater symmetry in the muscle to sub-dermis group, with no difference in sagittal vector analysis of the orbicularis oris muscle between normal and cleft sides. CONCLUSION: A suturing technique utilizing muscle to sub-dermis sutures has shown promising results in philtral projection and dimple formation. This improvement can be attributed to the combined effect of sub-dermis and less muscle sutures.

Functional polymeric DNA nanostructure-decorated cellulose nanocrystals for targeted and stimuli-responsive drug delivery.

Targeted and stimuli-responsive drug delivery enhances therapeutic efficacy and minimizes undesirable side effects of cancer treatment. Although cellulose nanocrystals (CNCs) are used as drug carriers because of their robustness, spindle shape, biocompatibility, renewability, and nontoxicity, the lack of programmability and functionality of CNCs-based platforms hampers their application. Thus, high adaptability and the capacity to form dynamic 3D nanostructures of DNA may be advantageous, as they can provide functionalities such as target-specific and stimuli-responsive drug release. Using DNA nanotechnology, the functional polymeric form of DNA nanostructures can be replicated using rolling circle amplification (RCA), and the biologically and physiologically stable DNA nanostructures may overcome the challenges of CNCs. In this study, multifunctional polymeric DNAs produced with RCA were strongly complexed with surface-modified CNCs via electrostatic interactions to form polymeric DNA-decorated CNCs (pDCs). Particle size, polydispersity, zeta potential, and biostability of the nanocomplexes were analyzed. As a proof of concept, the dynamic structural functionalities of DNA nanostructures were verified by observing cancer-targeted intracellular delivery and pH-responsive drug release. pDCs showed anticancer properties without side effects in vitro, owing to their aptamer and i-motif functionalities. In conclusion, pDCs exhibited multifunctional anticancer activities, demonstrating their potential as a promising hybrid nanocomplex platform for targeted cancer therapy.

Fingerprint sign of the Henle fibre layer in epiretinal membrane: a cross-sectional and longitudinal study.

PURPOSE: To investigate the incidence and distribution of fingerprint-like microwaves in the Henle fibre layer (HFL) of the eyes with epiretinal membrane (ERM). METHODS: Patients with idiopathic ERM were included. The fingerprint sign was defined using en-face optical coherence tomography images of the HFL, and its extent was classified into three grades. RESULTS: At baseline, fingerprint sign was found in 70 of 83 (84.3%) eyes with ERM and was more frequently observed in eyes with a higher ERM stage (P < 0.001). Its extent increased (P < 0.001) with an increase in ERM stage or the central macular thickness (P < 0.001). Best corrected visual acuity (BCVA) was worse in eyes with a fingerprint sign than in those without (P = 0.024). Metamorphopsia was more common in eyes with a greater extent of fingerprint-like microwaves (P = 0.048). The fingerprint sign persisted over a mean follow-up period of 18.0 ± 23.3 without surgery. In 45 eyes that underwent surgery, the extent of fingerprint-like microwaves decreased at 1.2 months (P = 0.001), and further decreased at 13.7 months postoperatively (P = 0.019). However, the proportion of eyes with a fingerprint sign after surgery was similar to that observed preoperatively (P = 0.912). CONCLUSIONS: Fingerprint-like microwaves were commonly found in eyes with ERM and were associated with ERM severity and BCVA. The microwaves remained long after surgery, although their extent may have decreased after the ERM was resolved. These results suggest that ERM traction may cause long-lasting changes in the HFL.

Mitogenome features and phylogenetic analysis of red algae, Grateloupia cornea (Rhodophyta, Halymeniales).

The mitogenome is an important tool for taxonomic and evolutionary investigation. Here, a few complete mitogenomes of red algae have been reported. We have reported the complete mitogenome sequences of Grateloupia cornea Okamura, 1913 (Rhodophyta, Halymeniales). The genome is 30,595 bp in circumference, and has a strongly biased [AT] = 66.9%. Like most other Grateloupia species, it has a group II intron in the cox1 gene. Maximum likelihood and maximum parsimony analyses showed that G. cornea is more closely related to G. asiatica. This shows that the group II intron in the cox1 ORF present in most species of Grateloupia was present in their common ancestor, and uniquely lost in G. asiatica. The seven Grateloupia species with known mitogenome sequences remain monophyletic, with the genus Polyopes as sister taxon. The complete mitochondrial genome data will be valuable for future research on comparative mitochondrial genome analysis, an extensive understanding of gene content and organization, evolution of the cox1 intron in Rhodophyta as well as phylogenetic analysis.

Contribution of Cd passivating functional bacterium H27 to tobacco growth under Cd stress.

The cadmium (Cd) embedded in tobacco not only affects yield and quality but also harms human health. Microbial remediation has attracted widespread attention due to its low cost and minimal risk of secondary pollution. Therefore, researching microbes capable of inhibiting crop absorption of heavy metals or removing heavy metals from the environment has significant practical implications. This study screened a strain named H27 with a Cd immobilization efficiency of up to 76.60%. Static cultivation experiments showed that immobilization of Cd by H27 is achieved through intracellular absorption, hydroxyl, carboxyl, and phosphate group reactions on the cell wall. The bacterium can also secrete extracellular substances to adsorb Cd and increase the environmental pH, reducing the bioavailability of Cd. H27 reduced the accumulation of Cd in the stems of hydroponically grown tobacco by 55.23% and decreased the expression of three Cd transport genes, HAM2, IRT1, and NRAMP1, in the roots. Additionally, H27 increased the mineralization rate of organic matter, increased the content of humic acid in the soil, promoted the formation of smaller soil particles, and enhanced the adsorption and fixation of Cd by soil components while simultaneously raising the pH of rhizosphere and non-rhizosphere soils in tobacco growth environments. Both hydroponic and potted experiments showed that H27 alleviated the inhibitory effect of Cd on tobacco growth, significantly reducing Cd accumulation in various parts of tobacco and lowering the transfer coefficient of Cd within the tobacco plant. This study aims to effectively reduce the Cd content in tobacco using microbes, mitigate the harm of heavy metals in cigarettes to human health, and provide theoretical and practical basis for the application of microbial techniques to control heavy metal absorption in tobacco.

Cost-effectiveness analysis of the 20-valent pneumococcal conjugate vaccine for the pediatric population in South Korea.

OBJECTIVES: To evaluate the cost-effectiveness of the 20-valent pneumococcal conjugate vaccine (PCV20) compared to 13-valent pneumococcal conjugate vaccine (PCV13) for the pediatric population in Korea, where the four-dose vaccine coverage rate is over 97%. METHODS: We constructed a Markov model to calculate the cost and quality-adjusted life-years (QALYs) over 10 years. The health states were susceptible states; disease states, which included invasive pneumococcal diseases such as meningitis, bacteremia, pneumonia, and acute otitis media; and death attributable to pneumococcal disease. The annual incidence and mortality due to pneumococcal diseases were estimated based on the serotypes covered by PCV13 and PCV20, vaccine coverage rate, vaccine effectiveness, and population size. Vaccine, administration, and disease costs were included in the model. RESULTS: In the total population (n = 51,431,305), PCV20 prevented more pneumococcal diseases and deaths, resulting in a gain of 74,855 QALY over PCV13. Meanwhile, the PCV20 group spent $275,136,631 less than the PCV13 group. As PCV20 gained more QALYs but spent less on total medical costs than PCV13, PCV20 was dominant over PCV13. CONCLUSIONS: In the Korean population, PCV20 is a cost-effective and dominant option over PCV13. Our findings provide evidence for decision-making regarding the introduction of PCV20 in countries with high vaccine coverage.

The immunohistochemical expression of c-MET and RON in lung adenocarcinoma with clinicopathologic correlation.

BACKGROUND: Mesenchymal epidermal transition (MET) and receptor originating from nantes (RON) are transmembrane tyrosine kinase receptors. Both are members of a proto-oncogene family and thus play a role in the pathogenesis of various cancers and acquired resistance to kinase inhibitors in lung cancer. AIMS: The aim of this study was to investigate the immunohistochemical expression of c-MET and RON in lung adenocarcinoma and its clinicopathologic correlation. SETTINGS AND DESIGN: Retrospective study. MATERIALS AND METHODS: The immunohistochemical c-MET and RON expression in specimens obtained from lung adenocarcinoma (n = 175) and associated clinicopathologic parameters were evaluated. STATISTICAL ANALYSIS USED: The correlation between c-MET and RON expression was analyzed by Chi-square test. A Cox proportional hazards model and Kaplan-Meier curve analysis were used to evaluate the risk factors and prognosis. RESULTS: High expression of the c-MET protein showed a strong correlation with that of RON (P = 0.013, kappa = 0.183). Five-year survival and recurrence-free 5-year survival were not associated with high expression of c-MET or RON. High c-MET expression was significantly associated with age older than 60 years (P = 0.000), tumor differentiation (P = 0.009), lymphovascular invasion (P = 0.016), and pleural invasion (P = 0.005). High RON expression was associated with a solid growth pattern (P = 0.001) and pleural invasion (P = 0.002). CONCLUSIONS: The results point to the potential of immunohistochemical expression of c-MET and RON as useful prognostic markers of unfavorable histopathologic features in lung adenocarcinoma.

Can conservative treatment be effective for thoracolumbar injuries patients with TLICS scores of 4 or 5? An analysis of initial radiological findings and clinical risk factors for treatment failure.

BACKGROUND: This study aimed to assess the outcomes of conservative management in patients with thoracolumbar fractures classified with a Thoracolumbar Injury Classification and Severity (TLICS) score of 4 or 5, and to analyze initial imaging findings and clinical risk factors associated with treatment failure. METHODS: In this retrospective analysis, patients with thoracolumbar fractures and a TLICS score of 4 or 5, determined through MRI from January 2017 to December 2020, were included. Patients undergoing conservative treatment were categorized into two groups: Group 1 (treatment success) and Group 2 (treatment failure), based on initial and 6-month follow-up outcomes. Clinical data were compared between the two groups. Initial radiological assessments included three kyphosis measurements (Cobb angle, Gardner angle, and sagittal index [SI]), anterior and posterior wall height, and central canal compromise (CC). Additionally, risk factors contributing to treatment failure were analyzed. RESULTS: The conservative treatment group comprised 84 patients (mean age, 60.25 ± 15.53; range 22-85; 42 men), with 57 in Group 1 and 27 in Group 2. Group 2 exhibited a higher proportion of women, older age, and lower bone mass density (p = 0.001-0.005). Initial imaging findings in Group 2 revealed significantly greater values for Cobb angle, SI, and CC (p = 0.001-0.045 or < 0.001; with cutoff values of 18.2, 12.8, and 7.8%, respectively), and lower anterior wall height (p = 0.001), demonstrating good to excellent interobserver agreement (0.72-0.99, p < 0.001). Furthermore, osteoporosis was identified as a significant risk factor (odds ratio = 5.64, p = 0.008). CONCLUSION: Among patients with TLICS scores of 4 or 5, those experiencing conservative treatment failure exhibited unfavorable initial radiological findings, a higher proportion of women, advanced age, and osteoporosis. Additionally, osteoporosis emerged as a significant risk factor for treatment failure.

Neuron type-specific optogenetic stimulation for differential stroke recovery in chronic capsular infarct.

Cortical neuromodulation (CNM) is widely used to promote recovery after stroke. Despite the beneficial results of CNM, the roles played by different neuron types in the effects of current CNM techniques are unable to be differentiated. Our aim was to use selective optogenetic cortical stimulation to explore how different subpopulations of neuronal cells contribute to poststroke recovery. We transduced the sensory-parietal cortex (SPC) of rats with CamKII-ChR2 (pyramidal neurons), PV-ChR2 (parvalbumin-expressing inhibitory neurons), or hSyn-ChR2 (pan-neuronal population) before inducing photothrombotic capsular infarct lesions. We found that selective stimulation of inhibitory neurons resulted in significantly greater motor recovery than stimulation of excitatory neurons or the pan-neuronal population. Furthermore, 2-deoxy-2-[18F] fluoro-D-glucose microPET (FDG-microPET) imaging revealed a significant reduction in cortical diaschisis and activation of the corticostriatal neural circuit, which were correlated with behavioral recovery in the PV-ChR2 group. The spatial pattern of brain-derived neurotrophic factor (BDNF) expression was evident in the stimulated cortex and underlying cortico-subcortical circuit. Our results indicate that the plasticity of inhibitory neurons is crucial for functional recovery after capsular infarct. Modifying CNM parameters to potentiate the stimulation of inhibitory neurons could improve poststroke outcomes.

Alleviation of preeclampsia-like symptoms through PlGF and eNOS regulation by hypoxia- and NF-κB-responsive miR-214-3p deletion.

Preeclampsia is caused by placental hypoxia and systemic inflammation and is associated with reduced placental growth factor (PlGF) and endothelial nitric oxide synthase (eNOS) levels. The molecular signaling axes involved in this process may play a role in the pathogenesis of preeclampsia. Here, we found that hypoxic exposure increased hypoxia-inducible factor-1α (HIF-1α)/Twist1-mediated miR-214-3p biogenesis in trophoblasts, suppressing PlGF production and trophoblast invasion. TNF-α stimulation increased NF-κB-dependent miR-214-3p expression in endothelial cells, impairing eNOS expression and causing endothelial dysfunction. Synthetic miR-214-3p administration to pregnant mice decreased PlGF and eNOS expression, resulting in preeclampsia-like symptoms, including hypertension, proteinuria, and fetal growth restriction. Conversely, miR-214-3p deletion maintained the PlGF and eNOS levels in hypoxic pregnant mice, alleviating preeclampsia-like symptoms and signs. These findings provide new insights into the role of HIF-1/Twist1- and NF-κB-responsive miR-214-3p-dependent PlGF and eNOS downregulation in the pathogenesis of preeclampsia and establish miR-214-3p as a therapeutic or preventive target for preeclampsia and its complications.

Dimensionality Engineering of Magnetic Anisotropy from the Anomalous Hall Effect in Synthetic SrRuO3 Crystals.

Magnetic anisotropy in atomically thin correlated heterostructures is essential for exploring quantum magnetic phases for next-generation spintronics. Whereas previous studies have mostly focused on van der Waals systems, here we investigate the impact of dimensionality of epitaxially grown correlated oxides down to the monolayer limit on structural, magnetic, and orbital anisotropies. By designing oxide superlattices with a correlated ferromagnetic SrRuO3 and nonmagnetic SrTiO3 layers, we observed modulated ferromagnetic behavior with the change of the SrRuO3 thickness. Especially, for three-unit-cell-thick layers, we observe a significant 1500% improvement of the coercive field in the anomalous Hall effect, which cannot be solely attributed to the dimensional crossover in ferromagnetism. The atomic-scale heterostructures further reveal the systematic modulation of anisotropy for the lattice structure and orbital hybridization, explaining the enhanced magnetic anisotropy. Our findings provide valuable insights into engineering the anisotropic hybridization of synthetic magnetic crystals, offering a tunable spin order for various applications.

Identification of dental implant systems from low-quality and distorted dental radiographs using AI trained on a large multi-center dataset.

Most artificial intelligence (AI) studies have attempted to identify dental implant systems (DISs) while excluding low-quality and distorted dental radiographs, limiting their actual clinical use. This study aimed to evaluate the effectiveness of an AI model, trained on a large and multi-center dataset, in identifying different types of DIS in low-quality and distorted dental radiographs. Based on the fine-tuned pre-trained ResNet-50 algorithm, 156,965 panoramic and periapical radiological images were used as training and validation datasets, and 530 low-quality and distorted images of four types (including those not perpendicular to the axis of the fixture, radiation overexposure, cut off the apex of the fixture, and containing foreign bodies) were used as test datasets. Moreover, the accuracy performance of low-quality and distorted DIS classification was compared using AI and five periodontists. Based on a test dataset, the performance evaluation of the AI model achieved accuracy, precision, recall, and F1 score metrics of 95.05%, 95.91%, 92.49%, and 94.17%, respectively. However, five periodontists performed the classification of nine types of DISs based on four different types of low-quality and distorted radiographs, achieving a mean overall accuracy of 37.2 ± 29.0%. Within the limitations of this study, AI demonstrated superior accuracy in identifying DIS from low-quality or distorted radiographs, outperforming dental professionals in classification tasks. However, for actual clinical application of AI, extensive standardization research on low-quality and distorted radiographic images is essential.

Temperature dependence of the dielectric function and critical points of monolayer WSe2.

Monolayer materials typically display intriguing temperature-dependent dielectric and optical properties, which are crucial for improving the structure and functionality of associated devices. Due to its unique photoelectric capabilities, monolayer WSe2 has recently received a lot of attention in the fields of atomically thin electronics and optoelectronics. In this work, we focus on the evolution of the temperature-dependent dielectric function (ε = ε1 + i ε2) of monolayer WSe2 over energies from 0.74 to 6.40 eV and temperatures from 40 to 350 K. We analyze the second derivatives of ε with respect to energy to accurately locate the critical points (CP). The dependence of the observed CP energies on temperature is consistent with the alternative domination of the declining exciton binding energy as the temperature increases.

Lymphedema after regional nodal irradiation for breast cancer: a retrospective cohort study.

Purpose: We aimed to analyze the occurrence of lymphedema as a side effect in patients who underwent regional nodal irradiation (RNI) following surgery for breast cancer. Methods: This retrospective study was conducted on patients with breast cancer who underwent surgery from July 2014 to October 2020 at Inje University Busan Paik Hospital. The analysis included 113 cT1-3N1-3M0 breast cancer patients who underwent RNI as part of radiotherapy (RT). Mostly, surgeries were performed using breast-conserving surgery (n = 99, 87.6%), except for 14 patients with modified radical mastectomy. The total RT dose for RNI was 45-60 Gy, and the fraction size was 1.8-2.0 Gy. Most patients underwent chemotherapy (n = 98, 86.7%), including taxanes (n = 92, 81.4%). Results: The median follow-up was 61.1 months (range, 5.0-110.5 months). Lymphedema occurred in 54 patients (47.8%) after surgery. Twenty of them (17.7%) developed a new onset of lymphedema after RT, while 34 (30.1%) detected lymphedema before the completion of RT. Over the follow-up, 16 patients (14.2%) experienced recurrence. High radiation dose (>50.4 Gy) for RNI (P = 0.003) and taxane use (P = 0.038) were related to lymphedema occurrence after RT. Moreover, lymphedema occurrence after RT was also related to recurrence after surgical resection (P = 0.026). Breast-conserving surgery was related to early-onset lymphedema before the completion of RT (P = 0.047). Furthermore, the degree of lymph node dissection (≤4) was related to the overall occurrence of lymphedema (P = 0.045). Conclusion: Considering a reduction in RNI dose may be beneficial in mitigating the incidence of lymphedema after RT in patients with breast cancer.

Magnet-Guided Temozolomide and Ferucarbotran Loaded Nanoparticles to Enhance Therapeutic Efficacy in Glioma Model.

Background. The aim of the study was to synthesize liposomal nanoparticles loaded with temozolomide and ferucarbotran (LTF) and to evaluate the theranostic effect of LTF in the glioma model. Methods. We synthesized an LTF that could pass through the Blood Brain Barrier (BBB) and localize in brain tumor tissue with the help of magnet guidance. We examined the chemical characteristics. Cellular uptake and cytotoxicity studies were conducted in vitro. A biodistribution and tumor inhibition study was conduted using an in vivo glioma model. Results. The particle size and surface charge of LTF show 108 nm and -38 mV, respectively. Additionally, the presence of ferucarbotran significantly increased the contrast agent effect of glioma compared to the control group in MR imaging. Magnet-guided LTF significantly reduced the tumor size compared to control and other groups. Furthermore, compared to the control group, our results demonstrate a significant inhibition in brain tumor size and an increase in lifespan. Conclusions. These findings suggest that the LTF with magnetic guidance represents a novel approach to address current obstacles, such as BBB penetration of nanoparticles and drug resistance. Magnet-guided LTF is able to enhance therapeutic efficacy in mouse brain glioma.

Latent diffusion model-based MRI superresolution enhances mild cognitive impairment prognostication and Alzheimer's disease classification.

INTRODUCTION: Timely diagnosis and prognostication of Alzheimer's disease (AD) and mild cognitive impairment (MCI) are pivotal for effective intervention. Artificial intelligence (AI) in neuroradiology may aid in such appropriate diagnosis and prognostication. This study aimed to evaluate the potential of novel diffusion model-based AI for enhancing AD and MCI diagnosis through superresolution (SR) of brain magnetic resonance (MR) images. METHODS: 1.5T brain MR scans of patients with AD or MCI and healthy controls (NC) from Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) were superresolved to 3T using a novel diffusion model-based generative AI (d3T*) and a convolutional neural network-based model (c3T*). Comparisons of image quality to actual 1.5T and 3T MRI were conducted based on signal-to-noise ratio (SNR), naturalness image quality evaluator (NIQE), and Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE). Voxel-based volumetric analysis was then conducted to study whether 3T* images offered more accurate volumetry than 1.5T images. Binary and multiclass classifications of AD, MCI, and NC were conducted to evaluate whether 3T* images offered superior AD classification performance compared to actual 1.5T MRI. Moreover, CNN-based classifiers were used to predict conversion of MCI to AD, to evaluate the prognostication performance of 3T* images. The classification performances were evaluated using accuracy, sensitivity, specificity, F1 score, Matthews correlation coefficient (MCC), and area under the receiver-operating curves (AUROC). RESULTS: Analysis of variance (ANOVA) detected significant differences in image quality among the 1.5T, c3T*, d3T*, and 3T groups across all metrics. Both c3T* and d3T* showed superior image quality compared to 1.5T MRI in NIQE and BRISQUE with statistical significance. While the hippocampal volumes measured in 3T* and 3T images were not significantly different, the hippocampal volume measured in 1.5T images showed significant difference. 3T*-based AD classifications showed superior performance across all performance metrics compared to 1.5T-based AD classification. Classification performance between d3T* and actual 3T was not significantly different. 3T* images offered superior accuracy in predicting the conversion of MCI to AD than 1.5T images did. CONCLUSIONS: The diffusion model-based MRI SR enhances the resolution of brain MR images, significantly improving diagnostic and prognostic accuracy for AD and MCI. Superresolved 3T* images closely matched actual 3T MRIs in quality and volumetric accuracy, and notably improved the prediction performance of conversion from MCI to AD.