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Chrysin is a flavonoid found abundantly in substances, such as honey and phytochemicals, and is known to exhibit anticancer effects against various cancer cells. Nevertheless, the anticancer effect of chrysin against oral cancer has not yet been verified. Furthermore, the mechanism underlying autophagy is yet to be clearly elucidated. Thus, this study investigated chrysin-mediated apoptosis and autophagy in human mucoepidermoid carcinoma (MC-3) cells. The change in MC-3 cell viability was examined using a 3-(4,5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide cell viability assay, as well as 40,6-diamidino-2-phenylindole, annexin V, and propidium iodide staining. Western blotting was used to analyze the proteins related to apoptosis and the mitogen-activated protein kinase (MAPK) pathway. In addition, the presence or absence of autophagy and changes in the expression of related proteins were investigated using acridine orange staining and Western blot. The results suggested that chrysin induced apoptosis and autophagy in MC-3 oral cancer cells via the MAPK/extracellular signal-regulated kinase pathway. Moreover, the induced autophagy exerted a cytoprotective effect against apoptosis. Thus, the further reduced cell viability due to autophagy as well as apoptosis induction highlight therapeutic potential of chrysin for oral cancer.
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Apoptose , Neoplasias Bucais , Humanos , Serina-Treonina Quinases TOR/metabolismo , Flavonoides/farmacologia , MAP Quinases Reguladas por Sinal Extracelular/metabolismo , Autofagia , Linhagem Celular Tumoral , Neoplasias Bucais/tratamento farmacológicoRESUMO
BACKGROUND Physical changes due to aging lead to weakening of respiratory muscles and decreased lung functions that result in increasing risk of chronic respiratory disease. A complex respiratory rehabilitation program is needed to prevent respiratory diseases and improve lung functions and quality of life. The purpose of the present study was to examine the effects of respiratory training programs on pulmonary functions, cardiovascular endurance, and quality of life in elderly women. MATERIAL AND METHODS The program was structured with respiration exercise and playing wind musical instruments for 10 weeks (n=13) and 5 weeks (n=16), respectively, for elderly women in 2 different community welfare centers. The program consisted of breathing exercises twice a week, 20 min per session, and 40 min of wind instrumentation. Effects were assessed using forced vital capacity (FVC), forced expiratory volume-one second (FEV1), FEV1/FVC ratio (FEV1%), maximum voluntary ventilation (MVV), 6-minute walk test (6MWT), modified Borg scale (MBS), and life satisfaction scale (LSS). RESULTS The 10-week program group (10WPG) showed significant differences in FVC, MVV, 6MWT, MBS, and LSS before and after interventions (p<.05), and the 5-week program group (5WPG) showed significant differences in FVC and 6MWT. MVV, MBS, and LSS were not significantly different between the 2 groups (p<.05). CONCLUSIONS This study confirms that the long-term respiration training program has positive effects on pulmonary functions, cardiopulmonary endurance, and quality of life. Various respiratory training programs and long-term implementations are needed to prevent respiratory illness and to improve lung functions and quality of life of respiratory patients.
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Exercícios Respiratórios/instrumentação , Exercícios Respiratórios/métodos , Idoso , Teste de Esforço/métodos , Tolerância ao Exercício/fisiologia , Feminino , Volume Expiratório Forçado , Humanos , Pulmão/fisiopatologia , Ventilação Voluntária Máxima , Pessoa de Meia-Idade , Qualidade de Vida , Respiração , Testes de Função Respiratória/métodos , Músculos Respiratórios/fisiopatologia , Capacidade VitalRESUMO
Many studies have focused on desalination via hydrate formation; however, for their potential application, knowledge pertaining to thermodynamic stability, formation kinetics, and guest occupation behavior in clathrate hydrates needs to be determined. Herein, the phase equilibria of SF6 hydrates in the presence of NaCl solutions (0, 2, 4, and 10 wt %) were monitored in the temperature range of 277-286 K and under pressures of up to 1.4 MPa. The formation kinetics of SF6 hydrates in the presence of NaCl solutions (0, 2, and 4 wt %) was also investigated. Gas consumption curves of SF6 hydrates showed that a pure SF6 hydrate system allowed fast hydrate growth as well as high conversion yield, whereas SF6 hydrate in the presence of NaCl solutions showed retarded hydrate growth rate as well as low conversion yield. In addition, structural identification of SF6 hydrates with and without NaCl solutions was performed using spectroscopic tools such as Raman spectroscopy and X-ray diffraction. The Raman spectrometer was also used to evaluate the temperature-dependent release behavior of guest molecules in SF6 and SF6 + 4 wt % NaCl hydrates. The results indicate that whereas SF6 hydrate starts to decompose at around 240 K, the escape of SF6 molecules in SF6 + 4 wt % NaCl hydrate is initiated rapidly at around 205 K. The results of this study can provide a better understanding of guest-host interaction in electrolyte-containing systems.
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Gases/química , Cloreto de Sódio/química , Hexafluoreto de Enxofre/química , Recuperação e Remediação Ambiental , Cinética , Análise Espectral Raman , Termodinâmica , Purificação da Água , Difração de Raios XRESUMO
BACKGROUND: Choral activities are correlated with various health and wellbeing parameters. However, an intervention combining a music program using wind instruments and choral activities has not yet been investigated. Thus, this study aimed to assess the effects of a 12-week intervention combining a wind instrument performance program and a choral program on stress factors, quality of life, and respiratory function in adolescents located in a metropolitan city with exposure to air pollution. METHOD: This randomized controlled trial consisted of 50 adolescents, and the subjects were randomly assigned to a combination wind instrument and choral training group, a choral training group, and a control group. Following a 12-week intervention program, respiratory function, stress factors, and quality of life were compared between the three groups. RESULTS: Regarding respiratory function, with the exception of maximal inspiratory pressure, all measured variables exhibited an interaction to indicate a variation in the pattern of change(p<0.05). Furthermore, regarding stress factors and quality of life, all measured variables exhibited an interaction to indicate a variation in the pattern of change(p<0.05). As a result of the post-hoc analysis, significant differences were found in all variables in experimental group 1 compared to other groups (p<0.05). CONCLUSION: The results showed that the 12-week intervention combining a wind instrument performance program and a choral program had positive effects in improving the respiratory function, stress factors, and quality of life in adolescents. This study findings are expected to support future studies aimed at promoting overall health including respiratory function and psychological factors through various music-based programs.
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Exercícios Respiratórios , Qualidade de Vida , Estresse Psicológico , Humanos , Adolescente , Masculino , Feminino , Exercícios Respiratórios/métodos , Música , Respiração , Testes de Função Respiratória , Musicoterapia/métodosRESUMO
This study developed a new convolutional neural network model to detect and classify gastric lesions as malignant, premalignant, and benign. We used 10,181 white-light endoscopy images from 2606 patients in an 8:1:1 ratio. Lesions were categorized as early gastric cancer (EGC), advanced gastric cancer (AGC), gastric dysplasia, benign gastric ulcer (BGU), benign polyp, and benign erosion. We assessed the lesion detection and classification model using six-class, cancer versus non-cancer, and neoplasm versus non-neoplasm categories, as well as T-stage estimation in cancer lesions (T1, T2-T4). The lesion detection rate was 95.22% (219/230 patients) on a per-patient basis: 100% for EGC, 97.22% for AGC, 96.49% for dysplasia, 75.00% for BGU, 97.22% for benign polyps, and 80.49% for benign erosion. The six-class category exhibited an accuracy of 73.43%, sensitivity of 80.90%, specificity of 83.32%, positive predictive value (PPV) of 73.68%, and negative predictive value (NPV) of 88.53%. The sensitivity and NPV were 78.62% and 88.57% for the cancer versus non-cancer category, and 83.26% and 89.80% for the neoplasm versus non-neoplasm category, respectively. The T stage estimation model achieved an accuracy of 85.17%, sensitivity of 88.68%, specificity of 79.81%, PPV of 87.04%, and NPV of 82.18%. The novel CNN-based model remarkably detected and classified malignant, premalignant, and benign gastric lesions and accurately estimated gastric cancer T-stages.
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Aprendizado Profundo , Neoplasias Gástricas , Humanos , Neoplasias Gástricas/patologia , Neoplasias Gástricas/diagnóstico , Masculino , Feminino , Pessoa de Meia-Idade , Idoso , Adulto , Redes Neurais de Computação , Sensibilidade e Especificidade , Idoso de 80 Anos ou maisRESUMO
A spirometer is a medical device frequently used clinically for the diagnosis and prediction of lung disease. This study aimed to investigate the clinical usefulness of a hand-held spirometer (The Spirokit), compared with conventional spirometry in patients with chronic obstructive pulmonary disease (COPD). This study was conducted from February 2022 to October 2022. Measurements from 80 patients with COPD (male: 53, female: 27) were obtained using The Spirokit and PC-based pulmonary function test equipment, and the resulting values were compared and analyzed. For the concurrent validity comparison of The Spirokit, the intra-class correlation (ICC 2, 1), coefficients of variation (CVME), 95% limits of agreement (95% LOA), and Cohen's Kappa Index were analyzed. The Spirokit showed high agreement (ICC: 0.929-0.989; 95% LOA: -0.525 to 2.559; and CVME: 0.05-0.08) with the PC-based pulmonary function tester. Using the Cohen's kappa coefficients, the device showed high sensitivity, specificity, and accuracy scores of Pa: 0.90, Pc: 0.52, and K: 0.79, respectively, indicating considerable agreement. The Spirokit, a portable pulmonary function test device, is a piece of equipment with high validity and portability, with high potential for replacing PC-based pulmonary function test equipment.
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BACKGROUND/AIM: Kaempferol, a natural flavonoid, occurs abundantly in fruits and vegetables. It has various bioactivities, with antioxidant, anti-inflammatory, and other beneficial properties. The aim of this study was to investigate the in vitro effects of kaempferol on the proliferation, apoptosis, and autophagy of KB cells, a human cervical cancer cell line, and the corresponding action mechanisms. MATERIALS AND METHODS: The inhibitory efficacy of kaempferol on KB cervical cancer cells was investigated through 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay, migration assay, 4',6-diamidino-2-phenylindole staining, flow cytometry, acridine orange staining and western blotting. RESULTS: Kaempferol reduced KB cell viability and migration in a dose-dependent manner. Additionally, kaempferol-induced apoptosis was confirmed, and kaempferol treatment influenced levels of apoptotic proteins. Autophagy was detected upon visualization of characteristic autophagic vacuoles and acidic vesicular organelles, and verified using western blotting, which revealed elevated levels of autophagy-related proteins. Kaempferol-mediated apoptosis and autophagy were evidently attributable to reduced phosphorylation in the phosphoinositide 3-kinase (PI3K)/serine/threonine kinase 1 (AKT)/mammalian target of rapamycin (mTOR) pathway. This finding was validated using a pharmacological inhibition assay with the PI3K pathway inhibitor LY294002, which promoted KB cell apoptosis and autophagy. CONCLUSION: Our results suggest that kaempferol induces apoptosis and autophagy by inhibiting the PI3K/AKT/mTOR pathway in human cervical cancer cells, empirically showing the anticancer effects of kaempferol, and thereby presenting it as a potential anticancer therapeutic agent.
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Apoptose , Autofagia , Quempferóis , Fosfatidilinositol 3-Quinases , Proteínas Proto-Oncogênicas c-akt , Transdução de Sinais , Serina-Treonina Quinases TOR , Neoplasias do Colo do Útero , Humanos , Quempferóis/farmacologia , Serina-Treonina Quinases TOR/metabolismo , Neoplasias do Colo do Útero/tratamento farmacológico , Neoplasias do Colo do Útero/patologia , Neoplasias do Colo do Útero/metabolismo , Proteínas Proto-Oncogênicas c-akt/metabolismo , Autofagia/efeitos dos fármacos , Apoptose/efeitos dos fármacos , Transdução de Sinais/efeitos dos fármacos , Fosfatidilinositol 3-Quinases/metabolismo , Feminino , Linhagem Celular Tumoral , Proliferação de Células/efeitos dos fármacos , Sobrevivência Celular/efeitos dos fármacos , Movimento Celular/efeitos dos fármacosRESUMO
Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic diseases and generating accurate reports. While recent studies have endeavored to identify anatomical regions of the colon using deep learning, the deformable anatomical characteristics of the colon pose challenges for establishing a reliable localization system. This study presents a system utilizing 100 colonoscopy videos, combining density clustering and deep learning. Cascaded CNN models are employed to estimate the appendix orifice (AO), flexures, and "outside of the body," sequentially. Subsequently, DBSCAN algorithm is applied to identify anatomical sections. Clustering-based analysis integrates clinical knowledge and context based on the anatomical section within the model. We address challenges posed by colonoscopy images through non-informative removal preprocessing. The image data is labeled by clinicians, and the system deduces section correspondence stochastically. The model categorizes the colon into three sections: right (cecum and ascending colon), middle (transverse colon), and left (descending colon, sigmoid colon, rectum). We estimated the appearance time of anatomical boundaries with an average error of 6.31 s for AO, 9.79 s for HF, 27.69 s for SF, and 3.26 s for outside of the body. The proposed method can facilitate future advancements towards AI-based automatic reporting, offering time-saving efficacy and standardization.
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Doenças do Colo , Aprendizado Profundo , Humanos , Colonoscopia , Algoritmos , Análise por ConglomeradosRESUMO
The intraoperative estimated blood loss (EBL), an essential parameter for perioperative management, has been evaluated by manually weighing blood in gauze and suction bottles, a process both time-consuming and labor-intensive. As the novel EBL prediction platform, we developed an automated deep learning EBL prediction model, utilizing the patch-wise crumpled state (P-W CS) of gauze images with texture analysis. The proposed algorithm was developed using animal data obtained from a porcine experiment and validated on human intraoperative data prospectively collected from 102 laparoscopic gastric cancer surgeries. The EBL prediction model involves gauze area detection and subsequent EBL regression based on the detected areas, with each stage optimized through comparative model performance evaluations. The selected gauze detection model demonstrated a sensitivity of 96.5% and a specificity of 98.0%. Based on this detection model, the performance of EBL regression stage models was compared. Comparative evaluations revealed that our P-W CS-based model outperforms others, including one reliant on convolutional neural networks and another analyzing the gauze's overall crumpled state. The P-W CS-based model achieved a mean absolute error (MAE) of 0.25 g and a mean absolute percentage error (MAPE) of 7.26% in EBL regression. Additionally, per-patient assessment yielded an MAE of 0.58 g, indicating errors < 1 g/patient. In conclusion, our algorithm provides an objective standard and streamlined approach for EBL estimation during surgery without the need for perioperative approximation and additional tasks by humans. The robust performance of the model across varied surgical conditions emphasizes its clinical potential for real-world application.
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Perda Sanguínea Cirúrgica , Aprendizado Profundo , Humanos , Animais , Suínos , Redes Neurais de Computação , Algoritmos , BandagensRESUMO
The mechanisms underlying chronic inflammatory diseases remain unclear. Therefore, researchers have explored the mechanisms underlying colitis using diverse materials. Recently, there has been an increasing interest in fermented products and bioconversion materials, their potential efficacy is being actively studied. Gochujang, a traditional Korean fermented product, is crafted by blending fermented Meju powder, gochu (Korean chili) powder, glutinous rice, and salt. In our study, we explored the effectiveness of Gochujang (500 mg/kg; Cheongju and Hongcheon, Korea) in dextran sulfate sodium (DSS)-induced colitis mice model. Gochujang was orally administered for 2 weeks, followed by the induction of colitis using 3% DSS in the previous week. During our investigation, Gochujang variants (TCG22-25, Cheongju and TCG22-48, Hongcheon) did not exhibit significant inhibition of weight reduction (p = 0.061) but notably (p = 0.001) suppressed the reduction in large intestine length in DSS-induced colitis mice. In the serum from colitis mice, TCG22-48 demonstrated reduced levels of the inflammatory cytokines interleukin (IL)-6 (p = 0.001) and tumor necrosis factor (TNF)-α (p = 0.001). Additionally, it inhibited the phosphorylation of Erk (p = 0.028), p38, and NF-κB (p = 0.001) the inflammatory mechanism. In our study, TCG22-25 demonstrated a reduction in the IL-6 level (p = 0.001) in serum and inhibited the phosphorylation of p38 and NF-κB (p = 0.001). Histological analysis revealed a significant (p = 0.001) reduction in the pathological score of the large intestine from TCG22-25 and TCG22-48. In conclusion, the intake of Gochujang demonstrates potent anti-inflammatory effects, mitigating colitis by preventing the large intestine length reduction of animals with colitis, lowering serum levels of TNF-α and IL-6 cytokines, and inhibiting histological disruption and inflammatory mechanism phosphorylation.
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Platycodin D (PD) is the main component of triterpene saponins found in Platycodi radix. In this study, we observed a decrease in cell viability, an increase in apoptotic bodies, and an increase in the rate of apoptosis. Also, we observed an increase in cleaved PARP and Bax, a decrease in Bcl-2, and p-ERK, and an increase in p-p38 and p-JNK. Furthermore, a change in cell viability and the expression of p-p38, Bax, and Bcl-2 using the p38 inhibitor revealed a decrease in p-p38 and Bax and an increase in Bcl-2 in the inhibitor treatment group. In addition, we observed an increase in vacuole formation through morphological changes and an increase in acidic vesicular organelles (AVOs). We also observed an increase in the expression of beclin 1, LC 3-I, and -II. There was no significant decrease in cell viability in the group treated with 3-MA, but a decrease in cell viability was noted in the group treated with HCQ. HCQ treatment resulted in an increase in Bax and a decrease in Bcl-2. These findings reveal that in HT-29 colon cancer cells, PD induces apoptosis through the MAPK pathway, thereby exerting anticancer effects. Moreover, autophagy caused by PD inhibits apoptosis by protecting the cells.
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Neoplasias do Colo , Saponinas , Triterpenos , Humanos , Proteína X Associada a bcl-2 , Saponinas/farmacologia , Triterpenos/farmacologia , Apoptose , Autofagia , Neoplasias do Colo/tratamento farmacológico , Proteínas Proto-Oncogênicas c-bcl-2RESUMO
Robot-assisted surgery platforms are utilized globally thanks to their stereoscopic vision systems and enhanced functional assistance. However, the necessity of ergonomic improvement for their use by surgeons has been increased. In surgical robots, issues with chronic fatigue exist owing to the fixed posture of the conventional stereo viewer (SV) vision system. A head-mounted display was adopted to alleviate the inconvenience, and a virtual vision platform (VVP) is proposed in this study. The VVP can provide various critical data, including medical images, vital signs, and patient records, in three-dimensional virtual reality space so that users can access medical information simultaneously. An availability of the VVP was investigated based on various user evaluations by surgeons and novices, who executed the given tasks and answered questionnaires. The performances of the SV and VVP were not significantly different; however, the craniovertebral angle of the VVP was 16.35° higher on average than that of the SV. Survey results regarding the VVP were positive; participants indicated that the optimal number of displays was six, preferring the 2 × 3 array. Reflecting the tendencies, the VVP can be a neoconceptual candidate to be customized for medical use, which opens a new prospect in a next-generation surgical robot.
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Procedimentos Cirúrgicos Robóticos , Robótica , Realidade Virtual , Humanos , Interface Usuário-Computador , Procedimentos Cirúrgicos Robóticos/métodos , Visão OcularRESUMO
Background/Aims: We investigated how interactions between humans and computer-aided detection (CADe) systems are influenced by the user's experience and polyp characteristics. Methods: We developed a CADe system using YOLOv4, trained on 16,996 polyp images from 1,914 patients and 1,800 synthesized sessile serrated lesion (SSL) images. The performance of polyp detection with CADe assistance was evaluated using a computerized test module. Eighteen participants were grouped by colonoscopy experience (nurses, fellows, and experts). The value added by CADe based on the histopathology and detection difficulty of polyps were analyzed. Results: The area under the curve for CADe was 0.87 (95% confidence interval [CI], 0.83 to 0.91). CADe assistance increased overall polyp detection accuracy from 69.7% to 77.7% (odds ratio [OR], 1.88; 95% CI, 1.69 to 2.09). However, accuracy decreased when CADe inaccurately detected a polyp (OR, 0.72; 95% CI, 0.58 to 0.87). The impact of CADe assistance was most and least prominent in the nurses (OR, 1.97; 95% CI, 1.71 to 2.27) and the experts (OR, 1.42; 95% CI, 1.15 to 1.74), respectively. Participants demonstrated better sensitivity with CADe assistance, achieving 81.7% for adenomas and 92.4% for easy-to-detect polyps, surpassing the standalone CADe performance of 79.7% and 89.8%, respectively. For SSLs and difficult-to-detect polyps, participants' sensitivities with CADe assistance (66.5% and 71.5%, respectively) were below those of standalone CADe (81.1% and 74.4%). Compared to the other two groups (56.1% and 61.7%), the expert group showed sensitivity closest to that of standalone CADe in detecting SSLs (79.7% vs 81.1%, respectively). Conclusions: CADe assistance boosts polyp detection significantly, but its effectiveness depends on the user's experience, particularly for challenging lesions.
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BACKGROUND: Patient isolation units (PIUs) can be an effective method for effective infection control. Computational fluid dynamics (CFD) is commonly used for PIU design; however, optimizing this design requires extensive computational resources. Our study aims to provide data-driven models to determine the PIU settings, thereby promoting a more rapid design process. METHOD: Using CFD simulations, we evaluated various PIU parameters and room conditions to assess the impact of PIU installation on ventilation and isolation. We investigated particle dispersion from coughing subjects and airflow patterns. Machine-learning models were trained using CFD simulation data to estimate the performance and identify significant parameters. RESULTS: Physical isolation alone was insufficient to prevent the dispersion of smaller particles. However, a properly installed fan filter unit (FFU) generally enhanced the effectiveness of physical isolation. Ventilation and isolation performance under various conditions were predicted with a mean absolute percentage error of within 13%. The position of the FFU was found to be the most important factor affecting the PIU performance. CONCLUSION: Data-driven modeling based on CFD simulations can expedite the PIU design process by offering predictive capabilities and clarifying important performance factors. Reducing the time required to design a PIU is critical when a rapid response is required.
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Hidrodinâmica , Isolamento de Pacientes , Humanos , Simulação por Computador , Controle de Infecções/métodos , Serviço Hospitalar de EmergênciaRESUMO
OBJECTIVE: Emodin (3-methyl-1,6,8-trihydroxyanthraquinone) is one of the active components present in the root and rhizome of Rheum palmatum. It has been shown to contain biological activity (antitumour, antibacterial, diuretic and vasorelaxant effects). However, the mechanisms underlying the anti-arthritic effect of emodin have not been elucidated. Here we investigated whether emodin treatment would modulate the severity of the disease in an experimental arthritis model. METHODS: We evaluated the effects of emodin on CIA mice in vivo. RESULTS: The pathological processes of RA are mediated by a number of cytokines and MMPs. Expression of these proinflammatory mediators is controlled by nuclear factor-κB (NF-κB). This study was performed to explore the effect of emodin on control of the NF-κB activation pathway and to investigate whether emodin has anti-inflammatory effects in CIA mice in vivo. Emodin inhibited the nuclear translocation and DNA binding of NF-κB subunits, which were correlated with its inhibitory effect on cytoplasmic IκBα degradation in CIA mice. These events further suppressed chemokine production and MMP expression. In addition, emodin inhibited the osteoclast differentiation induced by M-CSF and receptor activation of NF-κB ligand in bone marrow macrophages. CONCLUSION: These findings suggest that emodin exerts anti-inflammatory effects in CIA mice through inhibition of the NF-κB pathway and therefore may have therapeutic value for the treatment of RA.
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Artrite Experimental/tratamento farmacológico , Emodina/uso terapêutico , Inflamação/tratamento farmacológico , Articulações/efeitos dos fármacos , Inibidores de Proteínas Quinases/uso terapêutico , Animais , Artrite Experimental/metabolismo , Artrite Experimental/patologia , Emodina/farmacologia , Articulações/metabolismo , Articulações/patologia , Masculino , Camundongos , Camundongos Endogâmicos DBA , Camundongos Endogâmicos ICR , NF-kappa B/metabolismo , Inibidores de Proteínas Quinases/farmacologia , Subunidades Proteicas/metabolismo , Transporte Proteico/efeitos dos fármacos , Transdução de Sinais/efeitos dos fármacos , Membrana Sinovial/efeitos dos fármacos , Membrana Sinovial/metabolismo , Membrana Sinovial/patologiaRESUMO
BACKGROUND: We aimed to investigate the effects of a community-based senior musical program on the cognitive and physical functions in older women. METHOD: Older women aged ≥65 years participating in a program at a community welfare center were randomized to experimental (n = 17) or control (n = 17) groups. The control group participated in singing and yoga classes offered at the welfare center, while the experimental group participated in a senior musical program consisting of vocal training, dancing, and breathing training. The effects of the 12-week program (120 min/session, two sessions/week) and the intergroup differences in outcomes were compared using the cognitive impairment screening test (CIST), pulmonary function test (PFT), respiratory muscle pressure test (RPT), and static and dynamic balance tests. RESULT: The experimental group showed significant post-intervention changes in CIST scores, cardiorespiratory parameters, and static and dynamic balance (p < 0.05), but the control group only showed significant changes in some respiratory and balance parameters (p < 0.05). In comparison with the control group, the experimental group showed significantly greater post-intervention changes in the CIST score, PFT and RPT parameters, static balance, and Y-balance anterior (p < 0.05). CONCLUSIONS: The senior musical program enhanced older women's cognitive, respiratory, and physical functions and promoted a sense of accomplishment and self-satisfaction.
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Protaetia brevitarsis (PB)-derived bioactive substances have been used as food and medicine in many Asian countries because of their antioxidant, antidiabetic, anti-cancer, and hepatoprotective properties. However, the effect of PB extracts (PBE) on osteoclast differentiation is unclear. In this study, we investigated the effect of PBE on RANKL-induced osteoclastogenesis in mouse bone marrow-derived macrophages (BMMs). To investigate the cytotoxicity of PBE, the viability of BMMs was confirmed via MTT assay. Tartrate-resistant acid phosphatase (TRAP) staining and pit assays were performed to confirm the inhibitory effect of PBE on osteoclast differentiation and bone resorption. The expression levels of osteoclast differentiation-related genes and proteins were evaluated using quantitative real-time PCR and Western blotting. PBE attenuated osteoclastogenesis in BMMs in TRAP and pit assays without cytotoxicity. The expression levels of osteoclast marker genes and proteins induced by RANKL were decreased after PBE treatment. PBE suppressed osteoclastogenesis by inhibiting the RANKL-induced activated JNK/NF-κB/PLCγ2 signaling pathway and the expression of NFATc1 and c-Fos. Collectively, these results suggest that PBE could be a potential therapeutic strategy or functional product for osteoclast-related bone disease.
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Reabsorção Óssea , NF-kappa B , Animais , Camundongos , NF-kappa B/metabolismo , Osteogênese , Fosfolipase C gama/metabolismo , Osteoclastos , Sistema de Sinalização das MAP Quinases , Reabsorção Óssea/metabolismo , Ligante RANK/metabolismo , Diferenciação CelularRESUMO
BACKGROUND: Accurate interpretation of chest radiographs requires years of medical training, and many countries face a shortage of medical professionals to meet such requirements. Recent advancements in artificial intelligence (AI) have aided diagnoses; however, their performance is often limited due to data imbalance. The aim of this study was to augment imbalanced medical data using generative adversarial networks (GANs) and evaluate the clinical quality of the generated images via a multi-center visual Turing test. METHODS: Using six chest radiograph datasets, (MIMIC, CheXPert, CXR8, JSRT, VBD, and OpenI), starGAN v2 generated chest radiographs with specific pathologies. Five board-certified radiologists from three university hospitals, each with at least five years of clinical experience, evaluated the image quality through a visual Turing test. Further evaluations were performed to investigate whether GAN augmentation enhanced the convolutional neural network (CNN) classifier performances. RESULTS: In terms of identifying GAN images as artificial, there was no significant difference in the sensitivity between radiologists and random guessing (result of radiologists: 147/275 (53.5%) vs result of random guessing: 137.5/275, (50%); p = .284). GAN augmentation enhanced CNN classifier performance by 11.7%. CONCLUSION: Radiologists effectively classified chest pathologies with synthesized radiographs, suggesting that the images contained adequate clinical information. Furthermore, GAN augmentation enhanced CNN performance, providing a bypass to overcome data imbalance in medical AI training. CNN based methods rely on the amount and quality of training data; the present study showed that GAN augmentation could effectively augment training data for medical AI.
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Inteligência Artificial , Redes Neurais de Computação , Humanos , Certificação , Hospitais Universitários , RadiografiaRESUMO
Objective: Endotracheal intubation (ETI) is critical to secure the airway in emergent situations. Although artificial intelligence algorithms are frequently used to analyze medical images, their application to evaluating intraoral structures based on images captured during emergent ETI remains limited. The aim of this study is to develop an artificial intelligence model for segmenting structures in the oral cavity using video laryngoscope (VL) images. Methods: From 54 VL videos, clinicians manually labeled images that include motion blur, foggy vision, blood, mucus, and vomitus. Anatomical structures of interest included the tongue, epiglottis, vocal cord, and corniculate cartilage. EfficientNet-B5 with DeepLabv3+, EffecientNet-B5 with U-Net, and Configured Mask R-Convolution Neural Network (CNN) were used; EffecientNet-B5 was pretrained on ImageNet. Dice similarity coefficient (DSC) was used to measure the segmentation performance of the model. Accuracy, recall, specificity, and F1 score were used to evaluate the model's performance in targeting the structure from the value of the intersection over union between the ground truth and prediction mask. Results: The DSC of tongue, epiglottis, vocal cord, and corniculate cartilage obtained from the EfficientNet-B5 with DeepLabv3+, EfficientNet-B5 with U-Net, and Configured Mask R-CNN model were 0.3351/0.7675/0.766/0.6539, 0.0/0.7581/0.7395/0.6906, and 0.1167/0.7677/0.7207/0.57, respectively. Furthermore, the processing speeds (frames per second) of the three models stood at 3, 24, and 32, respectively. Conclusions: The algorithm developed in this study can assist medical providers performing ETI in emergent situations.
RESUMO
Airway procedures in life-threatening situations are vital for saving lives. Video laryngoscopy (VL) is commonly performed during endotracheal intubation (ETI) in the emergency department. Artificial intelligence (AI) is widely used in the medical field, particularly to detect anatomical structures. This study aimed to develop an AI algorithm that detects vocal cords from VL images acquired during emergent situations. This retrospective study used VL images acquired in the emergency department to facilitate the ETI. The vocal cord image was labeled with a ground-truth bounding box. The dataset was divided into training and validation datasets. The algorithm was developed from a training dataset using the YOLOv4 model. The performance of the algorithm was evaluated using a test set. The test set was further divided into specific environments during the ETI for clinical subgroup analysis. In total, 20,161 images from 84 patients were used in this study. A total of 10,287, 5766, and 4108 images were used for the model training, validation, and test sets, respectively. The developed algorithm achieved F1 score 0.906, sensitivity 0.963, and specificity 0.842 in the validation set. The performance in the test set was F1 score 0.808, sensitivity 0.823, and specificity 0.804. We developed and validated an AI algorithm to detect vocal cords in VL. This algorithm demonstrated a high performance. The algorithm can be used to determine the vocal cord to ensure safe ETI.