Inflammatory myofibroblastic tumor is an uncommon tumor composed of myoblasts and various types of inflammatory infiltrates. Inflammatory myofibroblastic tumor is most common in the lungs but can be rarely found in the nasal cavity. Inflammatory myofibroblastic tumor is a rare entity that represents a diverse histologic pattern that can mimic malignant tumors. We report a case of inflammatory myofibroblastic tumor of the nasal septum in a 45-year-old man who presented with a tumor-like lesion of the nasal septum after two rounds of septoplasty.

Chronic expanding organizing hematoma (CEH) occasionally mimics a soft tissue tumor on MRI, which becomes more problematic in patients with a history of surgical resection for musculoskeletal malignancy. Herein, we present a case of CEH which we were able to differentiate from recurrent tumor through MRI follow-up, including diffusion-weighted imaging (DWI) and dynamic contrast enhanced (DCE) imaging. A 66-year-old male visited our institution under suspicion of recurrent leiomyosarcoma of the thigh, 19 months after surgery and radiation therapy. Due to inconclusive results, three US-guided biopsies and 6 MRI examinations were performed over 2 years. In the end, we could diagnose a CEH using conventional and functional MRI techniques, and it was histopathologically confirmed after surgical resection. A CEH may occur remotely after an initiating event, and it may persist and expand over several years. Functional MR sequences, in addition to conventional sequences, are helpful in differentiating CEH from malignant neoplasms.
Aged ; Biopsy ; Follow-Up Studies ; Hematoma* ; Humans ; Leiomyosarcoma ; Magnetic Resonance Imaging* ; Male ; Thigh

Objective: Behavioral assessments that effectively predict sleep-wake states were tried in animal research. This study aimed to examine the prediction power of an infrared locomotion detector on the sleep-wake states in ICR (Institute Cancer Research) mice. We also explored the influence of the durations and ways of data processing on the prediction power. Methods: The locomotor activities of seven male mice in home cages were recorded by infrared detectors. Their sleep-wake states were assessed by video analysis. Using the receiver operating characteristic curve analysis, the cut-off score was determined, then the area under the curve (AUC) values of the infrared motion detector that predicted sleep-wake states were calculated. In order to improve the prediction power, the four ways of data processing on the prediction power were performed by Matlab 2013b. Results: In the initial analysis of raw data, the AUC value was 0.785, but it gradually reached to 0.942 after data summation. The simple data averaging and summation among four different methods showed the maximal AUC value. The 10-minute data summation improved sensitivity (0.889) and specificity (0.901) significantly from the baseline value (sensitivity 0.615; specificity 0.936) (p ＜ 0.001). Conclusion This study suggests that the locomotor activity measured by an infrared motion detector might be useful to predict the sleep-wake states in ICR mice. It also revealed that only simple data summation may improve the predictive power. Using daily locomotor activities measured by an infrared motion detector is expected to facilitate animal research related to sleep-wake states.

Extranodal NK/T cell lymphoma, nasal type, is a rare non-Hodgkin lymphoma originating in the nasal cavity or in the paranasal sinuses. Atrophic rhinitis is a debilitating chronic nasal mucosal disease of unknown etiology. However, there have not been any reports on the occurrence of nasal NK/T cell lymphoma in patients with atrophic rhinitis. We experienced a case of the extranodal NK/T cell lymphoma in the left nasal cavity, which had been misdiagnosed as atrophic rhinitis in a 39-year-old female. Thus, we report this rare case with a review of the literature.
Adult ; Female ; Humans ; Lymphoma* ; Lymphoma, Non-Hodgkin ; Nasal Cavity ; Paranasal Sinuses ; Rhinitis, Atrophic*

BACKGROUND AND OBJECTIVES: Tinnitus, a common complaint of workers who are exposed to noise, can cause substantial negative effects on the quality of life of these workers. The aim of this study was to analyze the characteristics of tinnitus in patients with noise-induced hearing loss and the relationship between tinnitus and the duration of noise exposure. SUBJECTS AND METHOD: Thirty-three patients with subjective tinnitus and noise-induced hearing loss were included in this study. Tinnitus questionnaire, Tinnitus Handicap Inventory (THI) and audiological examinations were investigated according to the duration of noise exposure. RESULTS: There was a significant correlation between the tinnitus loudness and the duration of noise exposure. Patients who had longer periods of noise exposure had a louder tinnitus and higher THI score. However, there is no significant correlation between the characteristics of tinnitus and aging process. CONCLUSION: The duration of noise exposure influences the loudness and distress of tinnitus. An awareness of tinnitus should be considered as part of hearing conservation program.
Aging ; Hearing ; Hearing Loss ; Hearing Loss, Noise-Induced* ; Humans ; Methods ; Noise* ; Quality of Life ; Tinnitus*

Objective: Behavioral assessments that effectively predict sleep-wake states were tried in animal research. This study aimed to examine the prediction power of an infrared locomotion detector on the sleep-wake states in ICR (Institute Cancer Research) mice. We also explored the influence of the durations and ways of data processing on the prediction power. Methods: The locomotor activities of seven male mice in home cages were recorded by infrared detectors. Their sleep-wake states were assessed by video analysis. Using the receiver operating characteristic curve analysis, the cut-off score was determined, then the area under the curve (AUC) values of the infrared motion detector that predicted sleep-wake states were calculated. In order to improve the prediction power, the four ways of data processing on the prediction power were performed by Matlab 2013b. Results: In the initial analysis of raw data, the AUC value was 0.785, but it gradually reached to 0.942 after data summation. The simple data averaging and summation among four different methods showed the maximal AUC value. The 10-minute data summation improved sensitivity (0.889) and specificity (0.901) significantly from the baseline value (sensitivity 0.615; specificity 0.936) (p ＜ 0.001). Conclusion This study suggests that the locomotor activity measured by an infrared motion detector might be useful to predict the sleep-wake states in ICR mice. It also revealed that only simple data summation may improve the predictive power. Using daily locomotor activities measured by an infrared motion detector is expected to facilitate animal research related to sleep-wake states.

Objective: Data processing in analysis of circadian rhythm was performed in various ways. However, there was a lack of evidence for the optimal analysis of circadian rest-activity rhythm. Therefore, we aimed to perform mathematical simulations of data processing to investigate proper evidence for the optimal analysis of circadian rest-activity rhythm. Methods: Locomotor activities of 20 ICR male mice were measured by infrared motion detectors. The data of locomotor activities was processed using data summation, data average, and data moving average methods for cosinor analysis. Circadian indices were estimated according to time block, respectively. Also, statistical F and p-values were calculated by zero-amplitude test. Results: The data moving average result showed well-fitted cosine curves independent of data processing time. Meanwhile, the amplitude, MESOR, and acrophase were properly estimated within 800 seconds in data summation and data average methods. Conclusion These findings suggest that data moving average would be an optimal method for data processing in a cosinor analysis and data average within 800-second data processing time might be adaptable. The results of this study can be helpful to analyze circadian restactivity rhythms and integrate the results of the studies using different data processing methods.

Objective: Even though studies using machine learning on sleep-wake states have been performed, studies in various conditions are still necessary. This study aimed to examine the performance of the prediction model of locomotor activities on sleep-wake states using machine learning algorithms. Methods: The processed data using moving average of locomotor activities were used as predicting features. The sleep-wake states were used as true labels. The prediction models were established by machine learning classifiers such as support vector machine with radial basis function (SVM-RBF), linear discriminant analysis (LDA), naïve Bayes, and random forest (RF). The prediction model was evaluated by a six-fold cross validation. Results: The SVM-RBF and RF showed acceptable performance within a window of moving average from 480 to 1,200 seconds. The highest accuracy (0.869) was shown by the RF at the interval of 480 seconds. Meanwhile, the highest area under the curve (0.939) was shown by LDA at the interval of 870 seconds. Conclusion This study suggested that the prediction model on sleep-wake state using machine learning could show an improvement of the model performance when using moving average with raw data. The prediction model using locomotor activity can be useful in research on sleep-wake state.

As South Korea transitions into a super-aged society, addressing the challenges of aging through tailored nutritional strategies is becoming increasingly critical. This study developed a hemp seed soup designed for the elderly, using the functional benefits of hemp, a nutrient-dense ingredient rich in dietary proteins, essential fatty acids, polyphenols, and antioxidants. Soups were formulated with varying levels of hemp seed powder (0% (CS), 25% (HS25S), 50% (HS50S), and 75% (HS75S)), to address the dietary needs and physiological characteristics of the elderly, including mastication and swallowing difficulties. Increasing the hemp seed powder levels significantly enhanced the crude protein, total polyphenol, and flavonoid contents while improving the antioxidant activities, as assessed by 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging assays. HS75S exhibited the highest nutritional values and antioxidant activity. By contrast, food texture analysis showed that the viscosity decreased at higher hemp seed concentrations, with HS25S and HS50S demonstrating favorable textures for elderly consumption.Consumer acceptance testing identified HS50S as the most preferred sample, scoring highest in flavor, texture, and overall acceptability. This study highlights the potential of hemp seeds as a functional ingredient in developing nutritious and elderly-friendly food products. The hemp seed soup, with its enhanced protein, antioxidant properties, and tailored texture, offers a promising solution to improve the nutritional status and health of the elderly. Future studies should explore the long-term health benefits of hemp seed soup and its integration with other functional ingredients to optimize the sensory and nutritional properties.

As South Korea transitions into a super-aged society, addressing the challenges of aging through tailored nutritional strategies is becoming increasingly critical. This study developed a hemp seed soup designed for the elderly, using the functional benefits of hemp, a nutrient-dense ingredient rich in dietary proteins, essential fatty acids, polyphenols, and antioxidants. Soups were formulated with varying levels of hemp seed powder (0% (CS), 25% (HS25S), 50% (HS50S), and 75% (HS75S)), to address the dietary needs and physiological characteristics of the elderly, including mastication and swallowing difficulties. Increasing the hemp seed powder levels significantly enhanced the crude protein, total polyphenol, and flavonoid contents while improving the antioxidant activities, as assessed by 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging assays. HS75S exhibited the highest nutritional values and antioxidant activity. By contrast, food texture analysis showed that the viscosity decreased at higher hemp seed concentrations, with HS25S and HS50S demonstrating favorable textures for elderly consumption.Consumer acceptance testing identified HS50S as the most preferred sample, scoring highest in flavor, texture, and overall acceptability. This study highlights the potential of hemp seeds as a functional ingredient in developing nutritious and elderly-friendly food products. The hemp seed soup, with its enhanced protein, antioxidant properties, and tailored texture, offers a promising solution to improve the nutritional status and health of the elderly. Future studies should explore the long-term health benefits of hemp seed soup and its integration with other functional ingredients to optimize the sensory and nutritional properties.