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818 result(s) for "Kim, Chul-Ho"
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Applications of Plasma-Activated Liquid in the Medical Field
Much progress has been made since plasma was discovered in the early 1900s. The first form of plasma was thermal type, which was limited for medical use due to potential thermal damage on living cells. In the late 1900s, with the development of a nonthermal atmospheric plasma called cold plasma, profound clinical research began and ‘plasma medicine’ became a new area in the academic field. Plasma began to be used mainly for environmental problems, such as water purification and wastewater treatment, and subsequent research on plasma and liquid interaction led to the birth of ‘plasma-activated liquid’ (PAL). PAL is currently used in the fields of environment, food, agriculture, nanoparticle synthesis, analytical chemistry, and sterilization. In the medical field, PAL usage can be expanded for accessing places where direct application of plasma is difficult. In this review, recent studies with PAL will be introduced to inform researchers of the application plan and possibility of PAL in the medical field.
Prediction of osteoporosis from simple hip radiography using deep learning algorithm
Despite being the gold standard for diagnosis of osteoporosis, dual-energy X-ray absorptiometry (DXA) could not be widely used as a screening tool for osteoporosis. This study aimed to predict osteoporosis via simple hip radiography using deep learning algorithm. A total of 1001 datasets of proximal femur DXA with matched same-side cropped simple hip bone radiographic images of female patients aged ≥ 55 years were collected. Of these, 504 patients had osteoporosis (T-score ≤ − 2.5), and 497 patients did not have osteoporosis. The 1001 images were randomly divided into three sets: 800 images for the training, 100 images for the validation, and 101 images for the test. Based on VGG16 equipped with nonlocal neural network, we developed a deep neural network (DNN) model. We calculated the confusion matrix and evaluated the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). We drew the receiver operating characteristic (ROC) curve. A gradient-based class activation map (Grad-CAM) overlapping the original image was also used to visualize the model performance. Additionally, we performed external validation using 117 datasets. Our final DNN model showed an overall accuracy of 81.2%, sensitivity of 91.1%, and specificity of 68.9%. The PPV was 78.5%, and the NPV was 86.1%. The area under the ROC curve value was 0.867, indicating a reasonable performance for screening osteoporosis by simple hip radiography. The external validation set confirmed a model performance with an overall accuracy of 71.8% and an AUC value of 0.700. All Grad-CAM results from both internal and external validation sets appropriately matched the proximal femur cortex and trabecular patterns of the radiographs. The DNN model could be considered as one of the useful screening tools for easy prediction of osteoporosis in the real-world clinical setting.
Single-cell transcriptome profiling of the stepwise progression of head and neck cancer
Head and neck squamous cell carcinoma (HNSCC) undergoes stepwise progression from normal tissues to precancerous leukoplakia, primary HNSCC, and metastasized tumors. To delineate the heterogeneity of tumor cells and their interactions during the progression of HNSCC, we employ single-cell RNA-seq profiling for normal to metastasized tumors. We can identify the carcinoma in situ cells in leukoplakia lesions that are not detected by pathological examination. In addition, we identify the cell type subsets of the Galectin 7B ( LGALS7B ) - expressing malignant cells and CXCL8 -expressing fibroblasts, demonstrating that their abundance in tumor tissue is associated with unfavorable prognostic outcomes. We also demonstrate the interdependent ligand-receptor interaction of COL1A1 and CD44 between fibroblasts and malignant cells, facilitating HNSCC progression. Furthermore, we report that the regulatory T cells in leukoplakia and HNSCC tissues express LAIR2 , providing a favorable environment for tumor growth. Taken together, our results update the pathobiological insights into cell-cell interactions during the stepwise progression of HNSCCs. Head and neck squamous cell carcinomas (HNSCCs) undergo a stepwise progression from normal tissues. In order to better understand the molecular mechanisms behind such progression, here the authors profile HNSCC tumors at different stages using single-cell RNA-seq, and observe the role of interactions with the tumor microenvironment.
Numerical Study on Aerodynamic Characteristics of Heavy-Duty Vehicles Platooning for Energy Savings and CO2 Reduction
This study aims to analyze the aerodynamic interaction between moving vehicles platooning with the change in the platooning conditions on a freeway. The effect of the vortex generated by the forward vehicle reduces the value of the stagnation pressure generated at the front of the rear vehicle, which effectively reduces drag on the driving vehicle. To elucidate this, a total of four vehicles were applied to platooning at a speed of 100 km/h by altering the gap distance of heavy-duty vehicles (HDVs) such as 0.5 Length (L), 1 L, 1.5 L, 2.0 L, and 2.5 L under the conditions of 1 L equal to 13.16 m. The stagnation pressure at the front of the following vehicle (FV) was reduced, and quantitative analysis of drag force generated at each leading vehicle (LV) and following vehicle that is platooning exhibited a reduction of about 51%, 56%, and 52%, respectively, when compared to the single moving HDV. This is considered as a reduction in engine power for the driving vehicle. Taken together, these results are effective in improving fuel efficiency and reducing CO2, a representative greenhouse gas, and predicting fuel and CO2 reduction based on HDV annual mileage according to the highway conditions and logistics.
Antimicrobial effects of microwave plasma-activated water with skin protective effect for novel disinfectants in pandemic era
Skin antiseptics have important implications for public health and medicine. Although conventional antiseptics have considerable antimicrobial activity, skin toxicity and the development of resistance are common problems. Plasma-treated water has sterilization and tissue-regenerative effects. Therefore, the aim of this study was to identify whether plasma-activated water (PAW) manufactured by our microwave plasma system can be used as a novel antiseptic solution for skin protection. PAW was produced by dissolving reactive nitrogen oxide gas using microwave plasma in deionized water. The antibacterial effects of PAW against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Bacillus cereus, and Salmonella typhimurium and effective concentrations were investigated by a solid agar plate assay. The factors mediating the effects of PAW were evaluated by the addition of reactive species scavengers. Cytotoxicity and cell viability assays were performed to examine the protective effect of PAW on normal skin cells. PAW exhibited excellent sterilization and no toxicity in normal skin cells. Experiments also confirmed the potential of PAW as a sanitizer for SARS-CoV-2. Our findings support the use of PAW as an effective skin disinfectant with good safety in the current situation of a global pandemic.
Comparison of bone turnover suppression in atypical femoral fractures and osteoporotic hip fractures
We aimed to compare the extent of bone turnover suppression between patients with atypical femoral fractures (AFFs) and osteoporotic hip fractures (typical femur fractures, TFFs) using a one-to-one matching strategy. A single-center retrospective comparison of females aged ≥ 60 years who underwent operative treatment for AFFs and TFFs between January 2010 and March 2021 was conducted. Demographic characteristics and clinical data including fracture site, past medical history, bone mineral density (BMD), bisphosphonate (BP) medication history, and serum bone turnover marker (BTM) levels were examined. Moreover, we performed a logistic regression analysis to determine the risk factors for AFFs and a one-to-one matched-pair analysis to compare various BTMs. Overall, 336 consecutive females were included: 113 with AFFs and 213 with TFFs. The mean age, BMI, and lowest BMD T-score were 78.6 years, 22.8 kg/m 2 , and −3.3, respectively. Patients with AFF were younger, had lower BMD, higher BMI, higher prevalence of rheumatoid arthritis, a greater proportion with previous steroid or BP use, and a longer history of BP use than patients with TFF. The 48:48 matched-pair analysis revealed higher serum 25(OH) vitamin-D (30.5 vs 18.2 ng/mL, P  < 0.001) and calcium levels (8.8 vs 8.3 ng/dL, P  = 0.009) and lower serum CTX levels (0.33 vs 0.54 ng/mL, P  = 0.010) in the AFF group than in the TFF group, suggesting a more suppressed bone remodeling. No differences in the other BTM levels were found. Despite identical histories and durations of BP use, the AFF group exhibited lower CTX levels, suggesting more suppressed bone remodeling. This observation leads us to infer that more suppressed bone remodeling, indicated by lower CTX levels, could be linked to the occurrence of AFFs.
Percutaneous posterior transiliac plate versus iliosacral screw fixation for posterior fixation of Tile C-type pelvic fractures: a retrospective comparative study
Background This study aimed to compare the clinical outcomes and complications between two minimally invasive surgical techniques: percutaneous transiliac plate fixation and iliosacral (IS) screw fixation for the treatment of Tile C-type pelvic bone fractures. Methods We retrospectively reviewed the data of 77 consecutive patients with Tile C pelvic ring injuries who underwent either percutaneous transiliac plate fixation or IS screw fixation in a single academic center between November 2007 and January 2018. We recorded patients’ demographics, surgery-related data, and postoperative surgical outcomes and compared the incidence of complications and revision surgery rates between the two groups. Results Overall, 14 patients were included in the plate group, while 63 were included in the IS screw fixation group. No significant differences were observed in the patients’ demographics between the two groups except for a longer interval from injury to surgery (13.5 days vs. 5.4 days, P  = 0.001). Both groups acquired fracture union in all cases. There was one case of infection requiring surgical debridement in the plating group. Notably, nerve injury ( n  = 3) and implant loosening ( n  = 5) occurred in the IS screw group, but the difference was not significant. Conclusions Both percutaneous posterior transiliac plating and IS screw fixation in patients with Tile C-type pelvic bone fractures showed good results. We recommend IS screw fixation as the primary treatment and propose posterior plating as treatment for sacral dysmorphism and bilateral sacral alar fractures in patients with spinopelvic dissociation. Level of evidence III
Effectiveness of multimodal analgesia on surgically treated geriatric hip fracture patients: a propensity score matching analysis
BackgroundTo investigate whether multimodal analgesia can decrease pain scores while reducing opioid usage.MethodsThis retrospective comparative study was performed in a single institution. Data were collected from medical records between January 2008 and December 2023 for patients who underwent surgical treatment for hip fracture (femoral neck, intertrochanteric, and subtrochanteric fractures). A standardized multimodal analgesia protocol for hip fracture, encompassing a systematic approach for analgesic prescription, anesthesia type, and regional nerve block, was implemented starting in 2022. We excluded the years 2019–2021 as a transition period. Patients treated between 2008 and 2018 formed the group without multimodal analgesia (the control group, n=1088), and those treated between 2022 and 2023 formed the multimodal analgesia group (n=306). Using propensity score matching, we matched patients in the multimodal analgesia group 1:1 to those in the control group. Primary outcomes were pain scores (visual analog scale: 6 hours, 12 hours, 24 hours, and 48 hours postoperatively) and oral opioid use within 48 hours postoperatively, both compared between the two groups. Rehabilitation rates, postoperative complications, and mortality were also compared.ResultsFollowing propensity score matching, each group included 280 patients. The mean age was 75.5±11.9 years (range, 20–99 years) and 76.9±11.7 years (range, 35–99 years) in the control group and multimodal analgesia group, respectively. Male patients accounted for 31% and 30%, respectively. Postoperatively, the multimodal analgesia group showed lower pain scores (6 hour: 1.9 vs 2.9, p<0.001; 24 hours: 2.0 vs 2.4, p=0.001; 48 hours: 1.7 vs 2.2, p<0.001) and 48-hour opioid usage (5.5 vs 13.3 mg, p=0.014).ConclusionsOur findings showed that implementing a multimodal analgesia protocol for hip fracture surgery was associated with lower postoperative pain and reduced opioid consumption, supporting the adoption of multimodal analgesia as a standardized perioperative pain management approach in geriatric patients with hip fractures.
Deep learning model for tongue cancer diagnosis using endoscopic images
In this study, we developed a deep learning model to identify patients with tongue cancer based on a validated dataset comprising oral endoscopic images. We retrospectively constructed a dataset of 12,400 verified endoscopic images from five university hospitals in South Korea, collected between 2010 and 2020 with the participation of otolaryngologists. To calculate the probability of malignancy using various convolutional neural network (CNN) architectures, several deep learning models were developed. Of the 12,400 total images, 5576 images related to the tongue were extracted. The CNN models showed a mean area under the receiver operating characteristic curve (AUROC) of 0.845 and a mean area under the precision-recall curve (AUPRC) of 0.892. The results indicate that the best model was DenseNet169 (AUROC 0.895 and AUPRC 0.918). The deep learning model, general physicians, and oncology specialists had sensitivities of 81.1%, 77.3%, and 91.7%; specificities of 86.8%, 75.0%, and 90.9%; and accuracies of 84.7%, 75.9%, and 91.2%, respectively. Meanwhile, fair agreement between the oncologist and the developed model was shown for cancer diagnosis (kappa value = 0.685). The deep learning model developed based on the verified endoscopic image dataset showed acceptable performance in tongue cancer diagnosis.
Handgrip strength effectiveness and optimal measurement timing for predicting functional outcomes of a geriatric hip fracture
Handgrip strength (HGS) now draws attention as one of the predictors of outcomes following geriatric hip fracture; however, its effectiveness and the optimal time to assess HGS remain unknown. Herein, we aimed to determine the usefulness of HGS in predicting the outcomes of geriatric hip fracture and to find the most effective time to measure HGS in both the low muscle strength and normal hip fracture groups. The study was performed prospectively for 79 geriatric hip fracture patients. HGS was measured during the admission period and the one-week postoperative period. Walking ability and quality of life were assessed using Koval scores and the European Quality of Life Five Dimension (EQ-5D) scale at the admission period and postoperatively at 3, 6, and 12 months, respectively. The relationship between pre/postoperative HGS and functional outcomes was assessed, and the functional score between the “low muscle strength” and “normal muscle strength” groups was compared. The association between HGS asymmetry and low strength with functional limitations was determined. For the preoperative HGS, the Koval score showed a significant relationship in the postoperative 6-month (r = −0.295, P = 0.008) and 12-month (r = −0.266, P = 0.019) periods; also, the EQ-5D score showed a significant relationship in the postoperative 6-month and 12-month periods (r = 0.344, P < 0.001, and r = 0.386, P = 0.001, respectively). For the postoperative HGS, the Koval score showed a significant relationship in the 6-month (r = −0.432, P < 0.001) and 12-month (r = −0.344, P = 0.002) postoperative periods. Also, the EQ-5D score showed a significant relationship in the 3-month (r = 0.340, P = 0.010), 6-month (r = 0.476, P < 0.001), and 12-month (r = 0.471, P < 0.001) postoperative periods. The incidence of preoperative and postoperative low HGS was 78.5% and 70.9%, respectively. The “low-strength” group had poor Koval scores and EQ-5D at postoperative month 12 and poor functional outcomes earlier in the follow-up (postoperative 6- and 12-month Koval scores and postoperative 3-, 6-, and 12-month EQ-5D), respectively (P = 0.008 and P = 0.003; P = 0.003, P = 0.001, and P = 0.001). The effect of HGS asymmetry and low strength on functional limitations remained undetermined. Both preoperative and postoperative HGS reflected functional outcomes of patients with hip fracture during the 12-month follow-up. Postoperative HGS had a higher prognostic value than preoperative HGS.