31 research outputs found

    Sonographic features of axillary lymphadenopathy caused by Kikuchi disease

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    OBJECTIVE: The purpose of this study was to document the sonographic findings of axillary lymphadenopathy in Kikuchi disease. METHODS: The medical records and sonographic findings of 7 patients with a pathologic diagnosis of Kikuchi disease in the axillary lymph node by sonographically guided core needle biopsy (n=6) or excisional biopsy (n=1) were reviewed. On sonograms, lymph nodes were assessed for their distribution, size, shape, border, echogenicity, and internal architecture, and those sonographic features of each node were evaluated to determine whether the findings favored malignant or benign lymphadenopathy. RESULTS: Of the 7 patients (1 man and 6 women; mean age +/- SD, 34.3+/-7.7 years), 29 affected lymph nodes (5-38 mm; mean, 14.8+/-7.2 mm) were identified on sonograms. The sonographic characteristics were as follows: the shortest axis/longest axis ratio of the node (mean, 0.595) was 0.5 or greater in 22 nodes (76%); the border was sharp in 16 (55%); the cortex was hypoechoic in 20 (69%) and isoechoic in 9 (31%); the hilum was narrow in 1 (4%) and absent in 16 (55%); and cortical thickening was found in 13 (45%, concentric in 6 and eccentric in 7). Nineteen lymph nodes (66%) were classified as having malignant-favoring features, and 10 (34%) were classified as having benign-favoring features. CONCLUSIONS: Many axillary lymph nodes in Kikuchi disease look suspicious sonographically. When lymph nodes in the axilla show suspicious findings on sonograms of relatively young patients, Kikuchi disease can be considered a possible differential diagnosis, and image-guided percutaneous biopsy should be done.ope

    Developmental potential of bovine embryos derived from parthenogenesis and somatic cell nuclear transfer with different activation protocols

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    Thesis(master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ˆ˜์˜ํ•™๊ณผ๋Œ€ํ•™ ์ˆ˜์˜์‚ฐ๊ณผยท์ƒ๋ฌผ๊ณตํ•™์ „๊ณต,2006.Maste

    Degree of FDG uptake of hepatocellular carcinoma on FDG-PET : a correlation study with enhancement pattern on CT or MRI. : ์ „์‚ฐํ™”๋‹จ์ธต์ดฌ์˜ ๋˜๋Š” ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์—์„œ์˜ ์กฐ์˜ ์ฆ

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    ์˜ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์ตœ๊ทผ ๊ฐ„์„ธํฌ์•”์˜ ์กฐ๊ธฐ ๋ฐœ๊ฒฌ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด F-18-FDG๋ฅผ ์ด์šฉํ•œ ์–‘์ „์ž๋ฐฉ์ถœ๋‹จ์ธต์ดฌ์˜ (์ดํ•˜ FDG-PET)์„ ์ด์šฉํ•œ ๊ธฐ๋Šฅ์  ์˜์ƒ์ด ์ค‘์š”ํ•œ ๊ฒ€์‚ฌ ๋ฐฉ๋ฒ•์œผ๋กœ ๋Œ€๋‘ ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ตœ๊ทผ ๊ฒฝํ—˜์— ์˜ํ•˜๋ฉด ์ƒ๋‹น ์ˆ˜์˜ ๊ฐ„์„ธํฌ์•”์ด ์ฃผ๋ณ€ ๊ฐ„๋ณด๋‹ค FDG์˜ ์„ญ์ทจ๊ฐ€ ๋†’์ง€ ์•Š์•„ FDG-PET์ƒ ๋ฐœ๊ฒฌ์ด ๋˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ๊ฐ€ ์žˆ์—ˆ๋‹ค.๊ทธ๋Ÿฌ๋ฏ€๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” FDG-PET์—์„œ์˜ ๊ฐ„์„ธํฌ์•”์˜ FDG ์„ญ์ทจ ์ •๋„์™€ ์ „์‚ฐํ™”๋‹จ์ธต์ดฌ์˜ ๋˜๋Š” ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์„ ํ†ตํ•œ ์กฐ์˜์ฆ๊ฐ•๋„์™€์˜ ์ƒ๊ด€ ๊ด€๊ณ„์— ๋Œ€ํ•˜์—ฌ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€์œผ๋ฉฐ FDG-PET์ƒ ๊ฐ„์„ธํฌ์•”์˜ FDG ์„ญ์ทจ ์ •๋„์™€ ๊ธฐ์กด ์˜์ƒ๋“ค์˜ ์กฐ์˜ ์ฆ๊ฐ• ์†Œ๊ฒฌ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ๋“ค์— ๊ด€ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. 2000๋…„ 3์›”๋ถ€ํ„ฐ 2002๋…„ 2์›”๊นŒ์ง€ ์„ธ๋ธŒ๋ž€์Šค ๋ณ‘์›์— ๋‚ด์›ํ•œ 34๋ช…์˜ ํ™˜์ž์˜ 37๊ฐœ์˜ ๊ฐ„์„ธํฌ์•”์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ(M:F=30:4, ํ‰๊ท  ์—ฐ๋ น=53์„ธ, ์—ฐ๋ น ๋ถ„ํฌ;38-63), ๊ฐ๊ฐ์˜ ๊ฐ„์„ธํฌ์•”์€ Edmonson ๋ฐ Steiner์˜ ์กฐ์งํ•™์ ์ธ ๋ถ„๋ฅ˜์— ๋”ฐ๋ผ grade โ… ๋ถ€ํ„ฐ grade โ…ฃ๊นŒ์ง€ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์ข…์–‘์˜ FDG ์„ญ์ทจ ์ •๋„๋Š” ์ฃผ๋ณ€ ๊ฐ„์กฐ์ง์˜ ์„ญ์ทจ ์ •๋„์˜ ์ฐจ์ด์— ๋”ฐ๋ผ 4๋“ฑ๊ธ‰์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€์œผ๋ฉฐ, (Grade 0; ์ฃผ๋ณ€ ๊ฐ„์กฐ์ง๋ณด๋‹ค ์„ญ์ทจ๊ฐ€ ๋‚ฎ์€ ๊ตฐ, Grade 1; ์ฃผ๋ณ€ ๊ฐ„์กฐ์ง๊ณผ ๊ฐ™์€ ์ •๋„์˜ ์„ญ์ทจ๋ฅผ ๋ณด์ด๋Š” ๊ตฐ, Grade 2; ์ฃผ๋ณ€ ๊ฐ„์กฐ์ง๋ณด๋‹ค ๋†’์€ ์„ญ์ทจ๋ฅผ ๋ณด์ด๋Š” ๊ตฐ, Grade 3; ์ฃผ๋ณ€ ๊ฐ„์กฐ์ง์— ๋น„ํ•ด ์•„์ฃผ ๋†’์€ ์„ญ์ทจ๋ฅผ ๋ณด์ด๋Š” ๊ตฐ) ๊ฐ๊ฐ์˜ ๋ณ‘๋ณ€์— ๋Œ€ํ•˜์—ฌ standardized uptake value(SUV)๋ฅผ ๊ตฌํ•˜์—ฌ ๋ฐ˜์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ „์‚ฐํ™”๋‹จ์ธต์ดฌ์˜ ๋ฐ ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์„ ํ†ตํ•œ ์ข…์–‘์˜ ์กฐ์˜์ฆ๊ฐ•๋„๋Š” ๋™๋งฅ๊ธฐ์˜ ๋ฌธ๋งฅ๊ณผ ๋น„๊ตํ•œ ์Œ์˜ ํ˜น์€ ์‹ ํ˜ธ ๊ฐ•๋„์— ๋”ฐ๋ผ 3๊ฐœ์˜ group์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค(Group โ…  : ๊ณ ์Œ์˜ ํ˜น์€ ๊ณ ์‹ ํ˜ธ๊ฐ•๋„, Group โ…ก : ๋“ฑ์Œ์˜ ํ˜น์€ ๋“ฑ์‹ ํ˜ธ๊ฐ•๋„, Group โ…ข : ์ €์Œ์˜ ํ˜น์€ ์ €์‹ ํ˜ธ๊ฐ•๋„). ๊ฐ„์„ธํฌ์•”์˜ SUV์™€ ์ „์‚ฐํ™” ๋‹จ์ธต ์ดฌ์˜ ๋ฐ ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์„ ํ†ตํ•œ ์กฐ์˜ ์ฆ๊ฐ• ์†Œ๊ฒฌ๊ณผ์˜ ์ƒ๊ด€ ๊ด€๊ณ„๋Š” ANOVA๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๊ณ  ์กฐ์งํ•™์  ๋ถ„ํ™”๋„์™€ ์ข…์–‘์˜ ํฌ๊ธฐ์™€ FDG ์„ญ์ทจ ์ •๋„, ์กฐ์˜์ฆ๊ฐ•๋„์™€์˜ ์ƒ๊ด€ ๊ด€๊ณ„์— ๊ด€ํ•˜์—ฌ๋„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฐ„์„ธํฌ์•”์˜ ์ง๊ฒฝ์€ 1.5 cm๋ถ€ํ„ฐ 20 cm๊นŒ์ง€์˜ ๋ถ„ํฌ๋ฅผ ๋ณด์˜€๋‹ค(ํ‰๊ท  ํ‘œ์ค€ํŽธ์ฐจ;5 3.9). FDG-PET์ƒ 37๊ฐœ์˜ ๊ฐ„์„ธํฌ์•” ์ค‘ 19๊ฐœ (51%)๊ฐ€ Grade 2 ํ˜น์€ 3๋ฅผ ๋ณด์˜€๊ณ  (Grade 2;12๊ฐœ, Grade 3;7๊ฐœ) ๋ฐ˜๋ฉด์— 18๊ฐœ (49%)๊ฐ€ Grade 0 ํ˜น์€ 1์„ ๋ณด์˜€๋‹ค (Grade 0;1๊ฐœ, Grade 1;17๊ฐœ). 37๊ฐœ์˜ ๊ฐ„์„ธํฌ์•” ์ค‘ Edmons on ๋ฐ Steiner ๋ถ„๋ฅ˜์— ๋”ฐ๋ผ grade โ… ์ธ ๊ฒฝ์šฐ๊ฐ€ 8๊ฐœ, grade โ…ก์™€ โ…ข๊ฐ€ ๊ฐ๊ฐ 14๊ฐœ, grade โ…ฃ์ธ ๊ฒฝ์šฐ๊ฐ€ 1๊ฐœ ์žˆ์—ˆ์œผ๋ฉฐ ์ „์‚ฐํ™”๋‹จ์ธต์ดฌ์˜์„ ํ†ตํ•œ ์กฐ์˜์ฆ๊ฐ•๋„์— ๋”ฐ๋ผ Group โ… ์ธ ๊ฒฝ์šฐ๋Š” ์—†์—ˆ๊ณ  Group โ…ก์ธ ๊ฒฝ์šฐ๊ฐ€ 6๊ฐœ, Group โ…ข์ธ ๊ฒฝ์šฐ๊ฐ€ 11๊ฐœ์˜€๋‹ค. ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์—์„œ๋Š” ๊ฐ๊ฐ 7, 6, 12๊ฐœ์˜€๋‹ค. SUV์™€ ์ „์‚ฐํ™”๋‹จ์ธต์ดฌ์˜ ๋ฐ ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์„ ํ†ตํ•œ ์กฐ์˜์ฆ๊ฐ•๋„ ์‚ฌ์ด์—๋Š” ์œ ์˜ํ•œ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์—†์—ˆ๋‹ค. ์ข…์–‘์˜ ์กฐ์งํ•™์  ๋ถ„ํ™”๋„์™€ ํฌ๊ธฐ์™€ FDG ์„ญ์ทจ ์‚ฌ์ด์—๋Š” ์œ ์˜ํ•œ ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ์œผ๋‚˜ ์กฐ์˜์ฆ๊ฐ•๋„ ์™€๋Š” ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ์—†์—ˆ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, ์ „์‚ฐํ™”๋‹จ์ธต์ดฌ์˜ ๋˜๋Š” ์ž๊ธฐ๊ณต๋ช…์˜์ƒ์—์„œ์˜ ์กฐ์˜์ฆ๊ฐ•๋„๋Š” ์ข…์–‘์˜ FDG ์„ญ์ทจ ์ •๋„๋‚˜ ์กฐ์งํ•™์  ๋ถ„ํ™”๋„์™€ ์œ ์˜ํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, FDG-PET์ƒ์˜ ๊ฐ„์„ธํฌ์•”์˜ ๋Œ€์‚ฌ ์ •๋„๋Š” ์ข…์–‘์˜ ์•…์„ฑ๋„๋ฅผ ๋Œ€์‹ ํ•  ์ˆ˜ ์žˆ๋Š” ์ข…์–‘์˜ ์กฐ์งํ•™์  ๋ถ„ํ™”๋„ ๋ฐ ํฌ๊ธฐ์™€ ๋น„๋ก€ํ•˜์˜€๋‹ค. [์˜๋ฌธ] The positron emission tomography with F-18-FDG ( FDG-PET ) is useful functional imaging method for early detection of hepatocellular carcinoma. But , according to our experiences, the level of FDG uptake of many hepatocellular carcinomas was not so high to detect the lesion. So, this study was undertaken to correlate the level of FDG uptake of hepatocellular carcinoma with enhancement pattern on CT or MRI and factors affecting the degree of FDG uptake and patterns of contrast enhancement in hepatocellular carcinoma were assessed as well. From March 2000 to February 2002, 37 hepatocellular carcinoma in 34 patients at initial presentation (M:F=30:4, a mean age = 53, age range(38-63)) were included. Histological grade was based on the Edmonson and Steiner''s grading system from grade โ…  to โ…ฃ. The level of FDG uptake in the tumor was visually assessed compared with the adjacent hepatic parenchyma (Grade 0 : The group that the level of FDG uptake in the tumor was lower compared with the adjacent hepatic parenchyma, Grade 1: The group with equal FDG uptake compared with the adjacent hepatic parenchyma, Grade 2 : The group with higher FDG uptake compared to the adjacent hepatic parenchyma and Grade 3: he group with much higher FDG uptake compared with the adjacent hepatic parenchyma ). The lesions were also semi-quantitatively analyzed using standardized uptake value (SUV). The patterns of enhancement on CT or MRI were classified into 3 groups according to the density or intensity of the lesion compared to that of the portal vein on arterial phase; Group โ… : hyperdense or hyperintense, Group โ…ก: isodense or isointense, Group โ…ข: hypodense or hypointense). The SUVs of the tumors were correlated with the enhancement patterns on CT or MRI by ANOVA. The histological grade and size were assessed in relation to the FDG uptake and enhancement patterns. The size of the tumors ranged from 1.5 to 20 cm (meanSD, 53.9). On PET, 19 (51%) of the 37 tumors showed FDG uptake of Grade 2 or 3 while 18 (49%) demonstrated Grade 0 or 1. There were 8 tumors with histologic grade โ… , 14 with grade โ…ก, 14 with grade โ…ข, and 1 with grade โ…ฃ. The patterns of enhancement on CT were classified into Group โ…  in 0, Group โ…ก in 6 , and Group โ…ข in 11 lesions. The numbers for MRI were 7, 6, and 12, respectively. The uptake pattern of the F-18-FDG was not correlated with the enhancement pattern on CT or MRI. Only FDG uptake, not the enhancement patterns, was well correlated with the histologic grade and size of the tumors. In conclusion, the patterns of contrast enhancement was not correlated with histologic tumor grade but tumor metabolism on FDG PET was well corresponded to the histologic tumor grade and size of the tumor representing more aggressive biological behavior.ope

    Technical Quality Assessment of Breast Ultrasound According to American College of Radiology (ACR) Standards

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    PURPOSE: To evaluate the technical quality of breast ultrasound based on American College of Radiology(ACR) standards. MATERIALS and METHODS: Between March 2002 and July 2002, ninety three breast sonograms obtained from 73 institutions were evaluated based on ACR standards for the hardware, technical settings, labeling of the images and identification. RESULTS: Of 93 breast sonograms, a satisfactory compliance with all ACR standards in the performance of breast US examinations was documented in 31% while the remaining 69% did not fully meet all ACR standards. 4.3% of breast US examinations were performed with a convex transducers, and the focal zone was inappropriately positioned in 14.2%. Gray-scale gain was subjectively characterized as inappropriate in 26.9%, and the size of lesion was not measured in 7.5%. Anatomic location of lesions was inappropriately described in 9.3%. The orientation of an US tranducer was not properly labeled on any images in 33.3%. Inadequate recording of patient, information was noted in 43.3%. 50% of sonograms at University medical centers and larger general hospitals fully met all ACR standards while 36.8% at radiologic clinics and 12.1% at other private clinics met all ACR standards. CONCLUSION: Overall, 69% of breast sonograms failed to meet the quality criteria of the ACR standards. Therefore, it is essential to educate the basic technical details in performing breast US for the quality control.ope

    Clinical application of the BI-RADS final assessment to breast sonography in conjunction with mammography

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    OBJECTIVE: The objective of our study was to report the results of classification of sonographic findings according to BI-RADS and to calculate the positive predictive value (PPV) for each BI-RADS assessment category. SUBJECTS AND METHODS: We prospectively classified 4,668 breast sonograms according to BI-RADS final assessment category. Suspicious sonographic findings were divided into major and minor suspicious findings. Category 1 was normal and category 2 was a benign finding such as cyst or nodule with uniform and intense hyperechogenicity. A nodule neither category 2 nor category 4 or 5 was defined as category 3. A nodule with one or more suspicious findings, not category 5, was defined as category 4. A nodule with two or more major suspicious findings was defined as category 5. RESULTS: Of the 4,668 cases, 321 cases failed to undergo follow-up of at least 1 year. The PPV was 0.1% in category 1 (3/2,191), 0% in category 2 (0/773), 0.8% in category 3 (6/737), 31.1% in category 4 (161/519), and 96.9% in category 5 (123/127). In palpable lesions (n = 751), the PPV was 2.2% in category 1 (2/93), 0.9% in category 3 (2/217), 54% in category 4 (107/198), and 98% in category 5 (98/100). In nonpalpable lesions (n = 3,596), the PPV was 0.05% in category 1 (1/2,098), 0.8% in category 3 (4/520), 16.8% in category 4 (54/321), and 92.6% in category 5 (25/27). CONCLUSION: As with mammography, placing sonographic lesions into BI-RADS categories is useful for predicting the presence of malignancyope

    Development and Validation of the Problematic Internet Gaming Scale for Adolescents

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    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฒญ์†Œ๋…„ ๊ฒŒ์ž„์ด์šฉ๋ฌธ์ œ ์ฒ™๋„์˜ ๊ตฌ์„ฑ์š”์ธ์„ ํ™•์ธํ•˜๊ณ , ๊ฒŒ์ž„์ด์šฉ๋ฌธ์ œ ์ฒ™๋„๋ฅผ ๊ฐœ๋ฐœ ๋ฐ ํƒ€๋‹นํ™”ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ดˆยท์ค‘ยท๊ณ ๋“ฑํ•™์ƒ 15๋ช…์œผ๋กœ ๊ตฌ์„ฑ๋œ ์ฒญ์†Œ๋…„ ์ธํ„ฐ๋ทฐ์™€ ๊ฒŒ์ž„ ๊ด€๋ จ ๊ธฐ๊ด€ ๋ฐ ์ƒ๋‹ด ๋ฐ ํ•™๊ณ„ ๊ต์ˆ˜ 9๋ช…์˜ ์ „๋ฌธ๊ฐ€ ์ธํ„ฐ๋ทฐ๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์˜ˆ๋น„์กฐ์‚ฌ 483๋ช…, ๋ณธ์กฐ์‚ฌ 870๋ช…์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„์— ํ™œ์šฉํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์˜ˆ๋น„์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ฒŒ์ž„์ด์šฉ๋ฌธ์ œ์˜ ๊ตฌ์„ฑ์š”์ธ์œผ๋กœ ํ˜„์ €์„ฑ, ์กฐ์ ˆ์‹คํŒจ, ์ผ์ƒ์ƒํ™œ๋ฌธ์ œ, ๊ธˆ๋‹จ์˜ 4๊ฐœ ์š”์ธ, 24๊ฐœ ๋ฌธํ•ญ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ๋‘˜์งธ, ํƒ์ƒ‰์  ์š”์ธ๋ถ„์„๊ณผ ์ „๋ฌธ๊ฐ€ ๋‚ด์šฉํƒ€๋‹น๋„ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ 3๊ฐœ ํ•˜์œ„์š”์ธ(ํ˜„์ €์„ฑ, ์กฐ์ ˆ์‹คํŒจ, ์ผ์ƒ์ƒํ™œ๋ฌธ์ œ)๊ณผ 9๊ฐœ ๋ฌธํ•ญ์„ ์ตœ์ข…๋ฌธํ•ญ์œผ๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ์…‹์งธ, ๋ณธ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ, ์ตœ์ข… ์ฒ™๋„์˜ ์‹ ๋ขฐ๋„๋Š” .908์ด๋ฉฐ, ๊ตฌ์ธํƒ€๋‹น๋„ ๋ถ„์„ ๊ฒฐ๊ณผ SRMR, TLI, CFI, RMSEA๊ฐ€ ๊ฐ๊ฐ .022, .979, .986, .056์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์ ํ•ฉํ•œ ๋ชจํ˜•์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ค€๊ฑฐํƒ€๋‹น๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, GADIS ์ฒ™๋„์™€์˜ ์ƒ๊ด€์ด .664๋กœ ํ†ต๊ณ„์ ์œผ๋กœ๋„ ์œ ์˜ํ•œ ์ •์  ์ƒ๊ด€์„ ๋ณด์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœํ•œ ๊ฒŒ์ž„์ด์šฉ๋ฌธ์ œ ์ฒ™๋„๋ฅผ ํ™œ์šฉํ•˜์—ฌ, ๊ฒŒ์ž„์œผ๋กœ ์ธํ•œ ๋ถ€์ ์‘์  ๋ฌธ์ œ์™€ ์–ด๋ ค์›€์„ ๊ฒฝํ—˜ํ•˜๋Š” ์ฒญ์†Œ๋…„์— ๋Œ€ํ•œ ์ดํ•ด์™€ ์ƒ๋‹ด ๋ฐ ๊ต์œก์  ์ ‘๊ทผ์— ๋„์›€์ด ๋  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.N

    Development and Validation of Adolescent Internet Gaming Literacy Scale

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    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฒญ์†Œ๋…„ ๊ฒŒ์ž„๋ฆฌํ„ฐ๋Ÿฌ์‹œ ์ฒ™๋„์˜ ๊ตฌ์„ฑ์š”์ธ์„ ํ™•์ธํ•˜๊ณ , ๊ฒŒ์ž„๋ฆฌํ„ฐ๋Ÿฌ์‹œ ์ฒ™๋„๋ฅผ ๊ฐœ๋ฐœํ•˜๋ฉฐ ํƒ€๋‹นํ™”ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ฒŒ์ž„ ๊ด€๋ จ ๊ธฐ๊ด€ ๋ฐ ์ƒ๋‹ด, ๊ต์œก ํ•™๊ณ„ ๊ต์ˆ˜ 9๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์ „๋ฌธ๊ฐ€ ์ธํ„ฐ๋ทฐ์™€ ์ดˆโ€ค์ค‘โ€ค๊ณ ๋“ฑํ•™์ƒ 15๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์ฒญ์†Œ๋…„ ์ธํ„ฐ๋ทฐ๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์˜ˆ๋น„์กฐ์‚ฌ 483๋ช…, ๋ณธ์กฐ์‚ฌ 870๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ „๋ฌธ๊ฐ€์™€ ์ฒญ์†Œ๋…„ ์ธํ„ฐ๋ทฐ ๊ฒฐ๊ณผ, ๊ฒŒ์ž„๋ฆฌํ„ฐ๋Ÿฌ์‹œ๋ฅผ ๊ตฌ์„ฑํ•˜๋Š” ์š”์ธ์œผ๋กœ ๊ฒŒ์ž„์œค๋ฆฌ, ๊ฒŒ์ž„์‹œ๊ฐ„์กฐ์ ˆ, ๊ฒŒ์ž„๋น„์šฉ์กฐ์ ˆ, ๊ฒŒ์ž„์ดํ•ด, ๊ฒŒ์ž„์ž๊ธฐ์ธ์‹, ITํฅ๋ฏธ์˜ 6๊ฐœ ์š”์ธ์„ ์ถ”์ถœํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‘˜์งธ, ๊ฒŒ์ž„๋ฆฌํ„ฐ๋Ÿฌ์‹œ์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ์™€ ์ „๋ฌธ๊ฐ€, ์ฒญ์†Œ๋…„ ์ธํ„ฐ๋ทฐ, ์—ฐ๊ตฌ์ง„ ํšŒ์˜์™€ ์ „๋ฌธ๊ฐ€ ํƒ€๋‹น๋„ ๋ถ„์„์„ ๋ฐ”ํƒ•์œผ๋กœ ์ตœ์ข… 6๊ฐœ ํ•˜์œ„์š”์ธ๊ณผ 18๋ฌธํ•ญ(ํ•˜์œ„์š”์ธ๋ณ„ 3๋ฌธํ•ญ)์œผ๋กœ ์ตœ์ข…๋ฌธํ•ญ์„ ์„ ์ •ํ•˜์˜€๋‹ค. ์…‹์งธ, ๋ณธ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ, ์ตœ์ข… ์ฒ™๋„ ์‹ ๋ขฐ๋„๊ฐ€ .821์ด์—ˆ์œผ๋ฉฐ, ๊ตฌ์ธํƒ€๋‹น๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, SRMR, TLI, CFI, RMSEA๊ฐ€ .051, .944, .959, .052๋กœ ๋‚˜ํƒ€๋‚˜ ์ ํ•ฉํ•œ ๋ชจํ˜•์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ค€๊ฑฐํƒ€๋‹น๋„ ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ฏธ๋””์–ด ๋ฆฌํ„ฐ๋Ÿฌ์‹œ ์ธ์‹ ๊ฒ€์‚ฌ์™€ .489, ํ•™๊ต์ ์‘ ๊ฒ€์‚ฌ์™€ .358๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ •์  ์ƒ๊ด€์„ ๋ณด์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœํ•œ ์ฒญ์†Œ๋…„ ๊ฒŒ์ž„๋ฆฌํ„ฐ๋Ÿฌ์‹œ ์ฒ™๋„๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ฒญ์†Œ๋…„๋“ค์ด ๊ฒŒ์ž„์„ ์กฐ์ ˆํ•˜๋ฉด์„œ ์ž˜ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด์„œ ์ƒ๋‹ด ๋ฐ ๊ต์œก์  ์ ‘๊ทผ์ด ๊ฐ€๋Šฅํ•ด์งˆ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค. The purpose of this study is to identify variables of Adolescent Internet Gaming Literacy Scale and to develop and validate the scale. Nine experts in game organizations, counseling and education fields and fifteen students in elementary, middle, and high school were interviewed. Then, 483 students in preliminary study and 870 students in main study were selected and analyzed. The results are as follows: first, from experts and students interview, internet gaming literacy were divided into six variables including game ethics, time management, money management, game understanding, self understanding, and IT interests. Second, based on a literature review of internet gaming literacy, expert and youth interviews, research team meetings, and experts validation analysis, total 6 variables and 18 items(3 items per each variable) were selected. Third, reliability(Cronbachs Alpha) of total scale was .821 in main study and the finding of confirmatory factor analysis supported the six factor model of Internet Gaming Literacy Scale, demonstrating the construct validity(SRMR = .051, TLI = .944, CFI = .959, RMSEA = .052). In addition, the developed scale was positively correlated with Media Literacy Awareness scale(r = .489) and School Adjustment scale(r = .358), so the criterion validity was confirmed. Finally, it is expected that counselors and educators can use Adolescent Internet Gaming Literacy Scale developed in the current study to counsel and teach how adolescents to use game well and to regulate game use.N
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