This study was conducted to evaluate prevalence of intestinal helminthic infections and skin tests and Paragonimus and Clonorchis in tuberculosis(TB) patients in Korea. Stool examinations by formalin-ether technique and intradermal tests were carried out in 2 areas; Masan TB hospital and Kong-Ju TB hospital. The positive rate of intestinal helminths of any kind was 51.7 percent among 329 patients in Masan hospital, but 18.1 percent among 215 patients in Kong-Ju hospital. The infection rates of Trichocephalus trichiurus and Clonorchis sinensis were 20.7 percent and 17.6 percent respectively in Masan hospital patients, but the infection rates of T. trichiurus and C. sinensis were 6.5 percent and 6.0 percent respectively in Kong-Ju hospital patients. In skin tests, positive reactions to Paragonimus and Clonorchis antigens were 22.0 percent and 37.6 percent respectively in Masan hospital patients. On the contrary, Kong-Ju hospital patients showed the positive rates of 15.2 percent for Paragonimus and 27.2 percent for Clonorchis respectively.
parasitology-helminth-trematoda ; Ascaris lumbricoides ; Trichuris trichiura ; hookworm ; Trichostrongylus orientalis ; Clonorchis sinensis ; Paragonimus westermani ; Metagonimus yokogawai ; Taenis sp. ; Hymneolepis nana ; epidemiology ; skin test

Sacral pressure sores have been treated by a variety of surgical methods. complete treatment needs wide excision and coverage with healthy tissue which has constant and sufficient blood supply. Use of gluteus maximus muscle flap with or without overlying skin is a revolutionary method because of the reliability of blood supply. However, it is technically a little bit complicated, and future reconstruction for recurrent decubitus is especially limited in paraplegic patients. The development of gluteal perforator-based flap with para-sacral perforator introduce a new treatment modality for the sacral pressure sores. Total 10 cases of sacral pressure sores were treated with gluteal perforator-based flap. There were minimal postoperative complications except wound dehiscence in one case. This flap has a many advantage of no transection or sacrifice of the gluteus maximus muscle, elevation time for the flap is short, reliable blood flow of the perforator, large rotation arc and no post-operative hindrance to walking in patients who are not paraplegic. The disadvantages of this perforator-based flaps are the anatomical variation in the location of perforators and the need for technically careful dissection.
Humans ; Postoperative Complications ; Pressure Ulcer* ; Skin ; Walking ; Wounds and Injuries

Surgical excision of the subcutaneous tissues, with or without skin excision in the axillary hair-bearing area, has been the treatment of choice for Treating axillary a osmidrosis for the several decades. However, long periods of postoperative immobilization of a shoulder joint, partial necrosis of skin flaps or hematoma and the possibility of unsightly scars are frequent complications. For the purpose of reducing these complications, we performed ultrasonic aspiration of subcutaneous fat of the axilla, including the apocrine gland, using ultrasonic liposuction technique under confirmation of endoscopy via one small skin incision. From November 1997 to December 1998, a total of 134 patients (93 women and 41 men) received surgery for bilateral axillary osmidrosis on an outpatient basis. Sixty patients were evaluated more than 6 months after surgery. Among these patients, 6patients complained of a persistent foul odor(10%). Five patients received secondary ultrasonic aspiration for persistent foul odor and were then cured. We concluded that our method has several advantages such as 1) preservation of skin flap vascularity for the prevention of flap necrosis and axillary hair, 2) minimal scarring and bleeding, 3) shorter operation time and postoperative immobilization of the shoulder joint, 4) increased patient comfort, and 5) a safer operative method for recurred cases as a secondary method.
Apocrine Glands ; Axilla ; Cicatrix ; Endoscopy ; Female ; Hair ; Hematoma ; Hemorrhage ; Humans ; Immobilization ; Lipectomy ; Necrosis ; Odors ; Outpatients ; Shoulder Joint ; Skin ; Subcutaneous Fat ; Subcutaneous Tissue ; Ultrasonics*

A total of 421 patients hospitalized in St. Mary's Hospital were examined by indirect latex agglutination test in order to evaluate the Toxoplasma antibody in Korean from June to August 1981. The test sera of the patients were obtained from each age group by random sampling. The 421 samples of test sera showed negative in 153, 1:2 in 157, 1:4 in 59, 1:8 in 27, 1:16 in 7, 1:32 in 9, 1:64 in 2, 1:128 in 4 and 1:256 in 3 cases, respectively. The positive rate of Toxoplasma antibody was 4.3 percent in this sample when indirect latex antibodies of 1:32 or higher were regarded as positive. The titers of positive Toxoplasma antibodies were increased by age.
parasitology-protozoa ; Toxoplasma gondii ; toxoplasmosis ; immunology ; diagnosis

PURPOSE: This study investigated the clinical significance of AN in children and adolescents with obesity induced metabolic complications. METHODS: Forty-nine patients who had obesity induced metabolic complications were participated in this cross-sectional study. Obesity induced metabolic complications are as follows: hypertension, dyslipidemia, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), nonalcoholic steatohepatitis (NASH), homeostasis model assessment of insulin resistance (HOMA-IR)>3.16. Clinical characteristics, such as, age, percentage-weight-for-height (PWH), pubertal status, blood pressure (BP), fasting plasma insulin level, fasting and post-oral glucose tolerance test 2-hour glucose levels, liver function test, lipid profile, HOMA-IR were compared according to the presence of AN. RESULTS: Sixty-five percent of patients had AN, 57.1% NASH, 57.1% dyslipidemia, 55.1% hypertension, 46.9% IFG, 24.5% HOMA-IR>3.16 and 16.2% IGT. The patients who were moderately to severely obese with AN had higher incidence of IGT and HOMA-IR>3.16. The patients with AN had significantly higher diastolic BP (79.4+/-6.9 vs 75.4+/-5.6 mmHg), fasting levels of plasma insulin (10.6+/-6.0 vs 6.2+/-5.4 microIU/mL), HOMA-IR index (2.6+/-1.4 vs 1.4+/-1.3) and PWH (42.4+/-13.0 vs 34.3+/-1.8%). The increasing tendency for the presence of AN was significantly related to the cumulative number of obesity induced metabolic complications. Binary logistic regression analysis revealed that the presence of AN was significantly associated with fasting plasma insulin level, PWH and IFG. CONCLUSION: AN could be useful as a clinical surrogate of obesity induced metabolic complications.
Acanthosis Nigricans* ; Adolescent* ; Blood Pressure ; Child* ; Cross-Sectional Studies ; Dyslipidemias ; Fasting ; Fatty Liver ; Glucose ; Glucose Tolerance Test ; Homeostasis ; Humans ; Hypertension ; Incidence ; Insulin ; Insulin Resistance ; Liver Function Tests ; Logistic Models ; Obesity* ; Plasma

BACKGROUND: Trichomonas vaginalis is a pathogenic protozoa infecting human genitourinary tract. Metronidazole is currently the drug of choice to treat T. vaginalis infection. However, because of the side effects and the occurrence of resistant strains of metronidazole, it is needed to investigate alternatives. METHODS: The antiprotozoal effect of aquatic extract from Sophora flavescens on the growth and fine structure of T. vaginalis was examined by using trypan blue exclusion assay and electron microscopy. RESULTS: One hour after the addition of 4 mg/mL extract and half hour after the addition of 5 mg/mL showed antiprotozoal effect. One to two hours after the addition of 3 mg/mL extract, the movement of flagella and axostyle had disappeared, but death of the cells had not occurred until two hours after the addition. The fine structure of the cytoplasm was also changed half an hour to two hours after addition. The number of polyribosome decreased when that of single ribosomes in the cytoplasm increased. CONCLUSION: These results indicated that S. flavescens had the antiprotozoal effect on T. vaginalis by inhibition of cell multiplication as well as an impairment of protein synthesis.
Cell Proliferation ; Cytoplasm ; Flagella ; Humans ; Metronidazole ; Microscopy, Electron ; Polyribosomes ; Ribosomes ; Sophora* ; Trichomonas vaginalis* ; Trichomonas* ; Trypan Blue

Purpose: This study explores the potential of artificial intelligence (AI) in optimizing radiotherapy protocols for personalized cancer treatment. Specifically, it investigates the role of AI-based segmentation tools in improving accuracy and efficiency across various anatomical regions. Methods: A dataset of 500 anonymized patient computed tomography scans from Chungbuk National University Hospital was used to develop and validate AI models for segmenting organs-atrisk. The models were tailored for five anatomical regions: head and neck, chest, abdomen, breast, and pelvis. Performance was evaluated using Dice Similarity Coefficient (DSC), Mean Surface Distance, and the 95th Percentile Hausdorff Distance (HD95). Results: The AI models achieved high segmentation accuracy for large, well-defined structures such as the brain, lungs, and liver, with DSC values exceeding 0.95 in many cases. However, challenges were observed for smaller or complex structures, including the optic chiasm and rectum, with instances of segmentation failure and infinity values for HD95. These findings highlight the variability in performance depending on anatomical complexity and structure size. Conclusions AI-based segmentation tools demonstrate significant potential to streamline radiotherapy workflows, reduce inter-observer variability, and enhance treatment accuracy. Despite challenges with smaller structures, the integration of AI enables dynamic, patient-specific adaptations to anatomical changes, contributing to more precise and effective cancer treatments.Future work should focus on refining models for anatomically complex structures and validating these methods in diverse clinical settings.

Purpose: This study explores the potential of artificial intelligence (AI) in optimizing radiotherapy protocols for personalized cancer treatment. Specifically, it investigates the role of AI-based segmentation tools in improving accuracy and efficiency across various anatomical regions. Methods: A dataset of 500 anonymized patient computed tomography scans from Chungbuk National University Hospital was used to develop and validate AI models for segmenting organs-atrisk. The models were tailored for five anatomical regions: head and neck, chest, abdomen, breast, and pelvis. Performance was evaluated using Dice Similarity Coefficient (DSC), Mean Surface Distance, and the 95th Percentile Hausdorff Distance (HD95). Results: The AI models achieved high segmentation accuracy for large, well-defined structures such as the brain, lungs, and liver, with DSC values exceeding 0.95 in many cases. However, challenges were observed for smaller or complex structures, including the optic chiasm and rectum, with instances of segmentation failure and infinity values for HD95. These findings highlight the variability in performance depending on anatomical complexity and structure size. Conclusions AI-based segmentation tools demonstrate significant potential to streamline radiotherapy workflows, reduce inter-observer variability, and enhance treatment accuracy. Despite challenges with smaller structures, the integration of AI enables dynamic, patient-specific adaptations to anatomical changes, contributing to more precise and effective cancer treatments.Future work should focus on refining models for anatomically complex structures and validating these methods in diverse clinical settings.

Purpose: This study explores the potential of artificial intelligence (AI) in optimizing radiotherapy protocols for personalized cancer treatment. Specifically, it investigates the role of AI-based segmentation tools in improving accuracy and efficiency across various anatomical regions. Methods: A dataset of 500 anonymized patient computed tomography scans from Chungbuk National University Hospital was used to develop and validate AI models for segmenting organs-atrisk. The models were tailored for five anatomical regions: head and neck, chest, abdomen, breast, and pelvis. Performance was evaluated using Dice Similarity Coefficient (DSC), Mean Surface Distance, and the 95th Percentile Hausdorff Distance (HD95). Results: The AI models achieved high segmentation accuracy for large, well-defined structures such as the brain, lungs, and liver, with DSC values exceeding 0.95 in many cases. However, challenges were observed for smaller or complex structures, including the optic chiasm and rectum, with instances of segmentation failure and infinity values for HD95. These findings highlight the variability in performance depending on anatomical complexity and structure size. Conclusions AI-based segmentation tools demonstrate significant potential to streamline radiotherapy workflows, reduce inter-observer variability, and enhance treatment accuracy. Despite challenges with smaller structures, the integration of AI enables dynamic, patient-specific adaptations to anatomical changes, contributing to more precise and effective cancer treatments.Future work should focus on refining models for anatomically complex structures and validating these methods in diverse clinical settings.

Purpose: This study explores the potential of artificial intelligence (AI) in optimizing radiotherapy protocols for personalized cancer treatment. Specifically, it investigates the role of AI-based segmentation tools in improving accuracy and efficiency across various anatomical regions. Methods: A dataset of 500 anonymized patient computed tomography scans from Chungbuk National University Hospital was used to develop and validate AI models for segmenting organs-atrisk. The models were tailored for five anatomical regions: head and neck, chest, abdomen, breast, and pelvis. Performance was evaluated using Dice Similarity Coefficient (DSC), Mean Surface Distance, and the 95th Percentile Hausdorff Distance (HD95). Results: The AI models achieved high segmentation accuracy for large, well-defined structures such as the brain, lungs, and liver, with DSC values exceeding 0.95 in many cases. However, challenges were observed for smaller or complex structures, including the optic chiasm and rectum, with instances of segmentation failure and infinity values for HD95. These findings highlight the variability in performance depending on anatomical complexity and structure size. Conclusions AI-based segmentation tools demonstrate significant potential to streamline radiotherapy workflows, reduce inter-observer variability, and enhance treatment accuracy. Despite challenges with smaller structures, the integration of AI enables dynamic, patient-specific adaptations to anatomical changes, contributing to more precise and effective cancer treatments.Future work should focus on refining models for anatomically complex structures and validating these methods in diverse clinical settings.