1.Bilateral Breast Carcinoma after Treatment with Immunosuppressant.
Beom Seok KO ; Kweon Cheon KIM
Journal of the Korean Surgical Society 2002;63(2):163-166
Bilateral breast cancer developed in a 45-year-old woman who received a renal transplant followed by immunosuppression with Cyclosporine. She underwent a left modified radical mastectomy, and right breast conserving surgery, with both axillary lymph nodes being dissect. Few cases have been reported on breast cancer associated with renal transplantation. Although a causal relationship with immunosuppression therapy and breast carcinoma was not implied, a heightened awareness of the possible coexistence of immunosuppression therapy and breast carcinomas are necessary.
Breast Neoplasms*
;
Breast*
;
Cyclosporine
;
Female
;
Humans
;
Immunosuppression
;
Kidney Transplantation
;
Lymph Nodes
;
Mastectomy, Modified Radical
;
Mastectomy, Segmental
;
Middle Aged
2.Thyroid Hemiagenesis.
Beom Seok KO ; Kweon Cheon KIM ; Hak Yeon BAE
Journal of the Korean Surgical Society 2003;65(1):69-71
Thyroid anomaly are rare embryological condition. The failure of the development of one lobe leading to unilateral agenesis is the rarest of all the thyroid anomalies, The cause of unilateral agenesis is unknown. Thyroid hemiagenes is common in females (3: 1) with the left lobe being absent. The common disease in the remaining lobe is a benign adenoma, a multinodular goiter, hyperthyroidism, chronic thyroiditis, and rarely carcinoma. The most common pathology involved in thyroid hemiagenesis is hyperthyroidism. This report the case of a 57-year-old woman with a right thyroid hemiagenesis.
Adenoma
;
Female
;
Goiter
;
Humans
;
Hyperthyroidism
;
Middle Aged
;
Pathology
;
Thyroid Gland*
;
Thyroiditis
3.Diagnosis of Rib Fracture Using Artificial Intelligence on Chest CT Images of Patients with Chest Trauma
Li KAIKE ; Riel CASTRO-ZUNTI ; Seok-Beom KO ; Gong Yong JIN
Journal of the Korean Society of Radiology 2024;85(4):769-779
Purpose:
To determine the pros and cons of an artificial intelligence (AI) model developed to diagnose acute rib fractures in chest CT images of patients with chest trauma.
Materials and Methods:
A total of 1209 chest CT images (acute rib fracture [n = 1159], normal [n = 50]) were selected among patients with chest trauma. Among 1159 acute rib fracture CT images, 9 were randomly selected for AI model training. 150 acute rib fracture CT images and 50 normal ones were tested, and the remaining 1000 acute rib fracture CT images was internally verified. We investigated the diagnostic accuracy and errors of AI model for the presence and location of acute rib fractures.
Results:
Sensitivity, specificity, positive and negative predictive values, and accuracy for diagnosing acute rib fractures in chest CT images were 93.3%, 94%, 97.9%, 82.5%, and 95.6% respectively. However, the accuracy of the location of acute rib fractures was low at 76% (760/1000). The cause of error in the diagnosis of acute rib fracture seemed to be a result of considering the scapula or clavicle that were in the same position (66%) or some ribs that were not recognized (34%).
Conclusion
The AI model for diagnosing acute rib fractures showed high accuracy in detecting the presence of acute rib fractures, but diagnosis of the exact location of rib fractures was limited.
4.Diagnosis of Rib Fracture Using Artificial Intelligence on Chest CT Images of Patients with Chest Trauma
Li KAIKE ; Riel CASTRO-ZUNTI ; Seok-Beom KO ; Gong Yong JIN
Journal of the Korean Society of Radiology 2024;85(4):769-779
Purpose:
To determine the pros and cons of an artificial intelligence (AI) model developed to diagnose acute rib fractures in chest CT images of patients with chest trauma.
Materials and Methods:
A total of 1209 chest CT images (acute rib fracture [n = 1159], normal [n = 50]) were selected among patients with chest trauma. Among 1159 acute rib fracture CT images, 9 were randomly selected for AI model training. 150 acute rib fracture CT images and 50 normal ones were tested, and the remaining 1000 acute rib fracture CT images was internally verified. We investigated the diagnostic accuracy and errors of AI model for the presence and location of acute rib fractures.
Results:
Sensitivity, specificity, positive and negative predictive values, and accuracy for diagnosing acute rib fractures in chest CT images were 93.3%, 94%, 97.9%, 82.5%, and 95.6% respectively. However, the accuracy of the location of acute rib fractures was low at 76% (760/1000). The cause of error in the diagnosis of acute rib fracture seemed to be a result of considering the scapula or clavicle that were in the same position (66%) or some ribs that were not recognized (34%).
Conclusion
The AI model for diagnosing acute rib fractures showed high accuracy in detecting the presence of acute rib fractures, but diagnosis of the exact location of rib fractures was limited.
5.Diagnosis of Rib Fracture Using Artificial Intelligence on Chest CT Images of Patients with Chest Trauma
Li KAIKE ; Riel CASTRO-ZUNTI ; Seok-Beom KO ; Gong Yong JIN
Journal of the Korean Society of Radiology 2024;85(4):769-779
Purpose:
To determine the pros and cons of an artificial intelligence (AI) model developed to diagnose acute rib fractures in chest CT images of patients with chest trauma.
Materials and Methods:
A total of 1209 chest CT images (acute rib fracture [n = 1159], normal [n = 50]) were selected among patients with chest trauma. Among 1159 acute rib fracture CT images, 9 were randomly selected for AI model training. 150 acute rib fracture CT images and 50 normal ones were tested, and the remaining 1000 acute rib fracture CT images was internally verified. We investigated the diagnostic accuracy and errors of AI model for the presence and location of acute rib fractures.
Results:
Sensitivity, specificity, positive and negative predictive values, and accuracy for diagnosing acute rib fractures in chest CT images were 93.3%, 94%, 97.9%, 82.5%, and 95.6% respectively. However, the accuracy of the location of acute rib fractures was low at 76% (760/1000). The cause of error in the diagnosis of acute rib fracture seemed to be a result of considering the scapula or clavicle that were in the same position (66%) or some ribs that were not recognized (34%).
Conclusion
The AI model for diagnosing acute rib fractures showed high accuracy in detecting the presence of acute rib fractures, but diagnosis of the exact location of rib fractures was limited.
6.Novel Treatment Using Intradermal Radiofrequency and Hyaluronic Acid Filler to Correct Marionette Lines.
Eun Jung KO ; Han Gyu CHOI ; Hyuk KIM ; Won Seok PARK ; Beom Joon KIM ; Myeung Nam KIM
Annals of Dermatology 2015;27(3):351-352
No abstract available.
Hyaluronic Acid*
7.Bile Duct Injury during Laparoscopic Cholecystectomy.
Gyu Beom SHIM ; In Seok CHOI ; Dea Gyeung KO ; Won Joon CHOI ; Dea Sung YOON
Journal of the Korean Surgical Society 2006;71(2):134-138
PURPOSE: Laparoscopic cholecystectomy (LC) has become the standard procedure for gallbladder disease. LC is associated with bile duct injury, which can cause serious complications. We evaluate the treatment, results and the relation with cholangiopancreatography for bile duct injury during LC. METHODS: 860 cases of LC were performed from April 2000 to August 2005. Among them, 7 cases of bile duct injury were reviewed for the diagnosis, management and operation findings. RESULTS: According to the Strasberg classification, there were 5 cases of type E, 1 case of type C and 1 case of type D. All of them were identified at operation and they were immediately managed. Among the type E cases, the type E1 was managed by CBD end-to-end anastomosis with internal drainage, type the E2 and type E3 were managed by Roux-en-Y hepaticojejunostomy, the type C were managed by primary repair with T-tube drainage and the type D were managed by primary repair. Although all of cases were visible at the cystic duct on preoperative cholangiopancreatography, we could not identify the type E on the operation findings. CONCLUSION: In this study, although the cystic duct was identified on cholangiopancreatography preoperatively, the possibility of bile duct injury increases if there was severe inflammation and adhesion. For the management of bile duct injury, we recommend CBD end-to-end anastomosis for type E1, Roux-en-Y hepaticojejunostomy for type E2 and E3, and primary repair and/or drainage for type C and D.
Bile Ducts*
;
Bile*
;
Cholecystectomy
;
Cholecystectomy, Laparoscopic*
;
Classification
;
Cystic Duct
;
Diagnosis
;
Drainage
;
Gallbladder Diseases
;
Inflammation
;
Laparoscopy
8.Ectopic Male Breast Cancer in the Perineum: A Case Report.
Hye Joung EOM ; Beom Seok KO ; In Hye SONG ; Gyungyub GONG ; Hak Hee KIM
Journal of Breast Cancer 2017;20(4):404-407
Ectopic breast tissue and male breast cancer are both very rare diseases with only a few reports in the literature. Here, we present the first case of ectopic male breast cancer in the perineum. The patient was a 70-year-old man with a palpable mass in the perineum. A wide local excision and inguinal lymph node dissection revealed invasive breast carcinoma of no special type involving the skin and subcutis, and inguinal lymph node metastases. Immunohistochemical staining showed that the tumor cells were strongly positive for estrogen and progesterone receptors and negative for human epidermal growth factor receptor 2. Moreover, no p53 overexpression was observed. Herein, the clinical and pathologic features, as well as a review of ectopic male breast cancer are discussed.
Aged
;
Breast
;
Breast Neoplasms
;
Breast Neoplasms, Male*
;
Estrogens
;
Humans
;
Lymph Node Excision
;
Lymph Nodes
;
Male
;
Male*
;
Mammary Glands, Human
;
Neoplasm Metastasis
;
Perineum*
;
Rare Diseases
;
Receptor, Epidermal Growth Factor
;
Receptors, Progesterone
;
Skin
9.Expression of receptors of Vitamin D and cytokines in osteoclasts differentiated by M-CSF and ODF.
Soo Mi SEONG ; Heung Sik UM ; Sung Hee KO ; Kyung Mi WOO ; Beom Seok CHANG
The Journal of the Korean Academy of Periodontology 2002;32(4):865-873
The primary cause of tooth loss after 30 years of age is periodontal disease. Destruction of alveolar bone by periodontal disease is done by bone resorbing activity of osteoclasts. Understanding differentiation and activation mechanism of osteoclasts is essential for controling periodontal disease. The purpose of this study is to identify the possible effects of Vitamin D and cytokines affecting osteoclasts and its precursor cells. Four to six week-old mice were killed and humerus, radius, tibia and femur were removed aseptically and washed two times with Hank's solution containing penicillin-streptomycin and then soft tissue were removed. Bone marrow cells were collected by 22 gauge needle. Cells were cultured in Hank's solution containing 1 mg/ml type II collagenase, 0.05% trypsin, 4mM EDTA. Supernatant solution was removed 5 times after 15 minutes of digestion with above mentioned enzyme solution, and remained bone particles were maintained in alpha-MEM for 15 minutes and 4degrees C temperature. Bone particles were agitated for 1 minute and supernatant solution containing osteoclast precursor cells were filtrated with cell stainer. These separated osteoclast precursor cells were dispensed with 100-mm culture dish by 1x10(7) cells unit and cultured in alpha-MEM containing 20 ng/ml recombinant human M-CSF, 30 ng/ml recombinant human soluble osteoclast differentiation factor and 10% fetal calf serum for 2 and 7 days. Total RNA of osteoclast precursor cells were extracted using RNeasy kit. One microgram of total RNA was reverse transcribed in 42degrees C for 30 minutes using SuperScriptII reverse transcriptase. Expression of transcribed receptors of each hormone and cytokine were traced with 1 microliter of cDNA solution by PCR amplification. Vitamin D receptor was found in cells cultured for 7 days. TNF-alphareceptor was found in cells cultured for 2 days and amount of receptors were increased by 7 days. IL-1 type I receptor was not found in cells cultured 2 and 7 days. But, IL-1 receptor type II was found in cells cultured for 2 days. TGF-alpha,betatype I receptor was found in cells cultured 2 and 7 days, and amount of receptors were increased by 7 days of culture. These results implies Vitamin D and cytokines can affect osteoclasts directly, and affecting period in differentiation cycle of osteoclasts is different by Vitamin D and cytokines.
Animals
;
Bone Marrow Cells
;
Collagenases
;
Cytokines*
;
Digestion
;
Dihydroergotamine
;
DNA, Complementary
;
Edetic Acid
;
Femur
;
Humans
;
Humerus
;
Interleukin-1
;
Macrophage Colony-Stimulating Factor*
;
Mice
;
Needles
;
Osteoclasts*
;
Periodontal Diseases
;
Polymerase Chain Reaction
;
Radius
;
RANK Ligand
;
Receptors, Calcitriol
;
RNA
;
RNA-Directed DNA Polymerase
;
Tibia
;
Tooth Loss
;
Trypsin
;
Vitamin D*
;
Vitamins*
10.Osteoblast adhesion and differentiation on magnesium titanate surface.
Seung Min CHOI ; Jae Kwan LEE ; Sung Hee KO ; Heung Sik UM ; Beom Seok CHANG
The Journal of the Korean Academy of Periodontology 2005;35(4):851-861
The nature of the implant surface can directly influence cellular response, ultimately affecting the rate and quality of new bone tissue formation. The aim of this in vitro study was to investigate if human osteoblast-like cells, Saos-2, would respond differently when plated on disks of magnesium titanate and machined titanium. Magnesium titanate disks were prepared using Micro Arc Oxidation(MAO) methods. Control samples were machined commercially pure titanium disks. The cell adhesion, proliferation and differentiation were evaluated by measuring cell number, and alkaline phosphatase(ALPase) activity at 1 day and 6 day after plating on the titanium disks. Measurement of cell number and ALPase activity in Saos-2 cells at 1 day did not demonstrate any difference between machined titanium and magnesium titanate. When compared to machined titanium disks, the number of cells was reduced on the magnesium titanate disks at 6 day, while ALPase activity was more pronounced on the magnesium titanate. Enhanced differentiation of cells grown on magnesium titanate samples was indicated by decreased cell proliferation and increased ALPase activity.
Bone and Bones
;
Cell Adhesion
;
Cell Count
;
Cell Proliferation
;
Humans
;
Magnesium*
;
Osteoblasts*
;
Saturn*
;
Titanium