1.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
2.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
3.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
4.The 2024 Guidelines for Osteoporosis - Korean Society of Menopause
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong- Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(1):1-23
5.The 2024 Guidelines for Osteoporosis - Korean Society of Menopause: Part II
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(2):55-77
6.Corrigendum: 2023 Korean Society of Menopause - Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(2):126-126
7.Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion
Young Dae KIM ; Hyo Suk NAM ; Joonsang YOO ; Hyungjong PARK ; Sung-Il SOHN ; Jeong-Ho HONG ; Byung Moon KIM ; Dong Joon KIM ; Oh Young BANG ; Woo-Keun SEO ; Jong-Won CHUNG ; Kyung-Yul LEE ; Yo Han JUNG ; Hye Sun LEE ; Seong Hwan AHN ; Dong Hoon SHIN ; Hye-Yeon CHOI ; Han-Jin CHO ; Jang-Hyun BAEK ; Gyu Sik KIM ; Kwon-Duk SEO ; Seo Hyun KIM ; Tae-Jin SONG ; Jinkwon KIM ; Sang Won HAN ; Joong Hyun PARK ; Sung Ik LEE ; JoonNyung HEO ; Jin Kyo CHOI ; Ji Hoe HEO ;
Journal of Stroke 2021;23(2):244-252
Background:
and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.
Methods:
Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.
Results:
Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032).
Conclusions
The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.
8.Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion
Young Dae KIM ; Hyo Suk NAM ; Joonsang YOO ; Hyungjong PARK ; Sung-Il SOHN ; Jeong-Ho HONG ; Byung Moon KIM ; Dong Joon KIM ; Oh Young BANG ; Woo-Keun SEO ; Jong-Won CHUNG ; Kyung-Yul LEE ; Yo Han JUNG ; Hye Sun LEE ; Seong Hwan AHN ; Dong Hoon SHIN ; Hye-Yeon CHOI ; Han-Jin CHO ; Jang-Hyun BAEK ; Gyu Sik KIM ; Kwon-Duk SEO ; Seo Hyun KIM ; Tae-Jin SONG ; Jinkwon KIM ; Sang Won HAN ; Joong Hyun PARK ; Sung Ik LEE ; JoonNyung HEO ; Jin Kyo CHOI ; Ji Hoe HEO ;
Journal of Stroke 2021;23(2):244-252
Background:
and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.
Methods:
Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.
Results:
Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032).
Conclusions
The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.
9.Effect of Low Intensity Pulsed Ultrasound with Adipose-Derived Stem Cells on Bone Healing around a Titanium Implant in Tibia of Osteoporosis-Induced Rats
Kwang Ho LEE ; Yeon Sik CHOI ; Sang Hun SHIN ; In Kyo CHUNG ; Gyoo Cheon KIM ; Cheol Hun KIM ; Uk Kyu KIM
Journal of the Korean Association of Maxillofacial Plastic and Reconstructive Surgeons 2011;33(3):199-209
Aged
;
Animals
;
Bone Matrix
;
Collagen
;
Female
;
Humans
;
Osteoporosis
;
Osteoprotegerin
;
Rats
;
Stem Cells
;
Tibia
;
Titanium
10.Clinical Study Of Odontogenic Keratocyst.
Hwa Sik SEONG ; Ju Min LEE ; Dae Seok HWANG ; Yong Deok KIM ; Uk Kyu KIM ; Jong Ryoul KIM ; In Kyo CHUNG ; Sang Hun SHIN
Journal of the Korean Association of Oral and Maxillofacial Surgeons 2009;35(2):89-93
PURPOSE: The purpose of this study is to investigate the clinical and histological features of odontogenic keratocyst PATIENTS AND METHODS: A retrosective review of 100 patients who were diagnosed as odontogenic keratocyst by hitological findings during the period of January 2000 and December 2005 in the Dept. of Oral and Maxillofacial surgery Pusan National University was consecuted. For each patient, age, sex, location of lesion, initial diagnosis by radiographic features, treatment procedure, hitologic findings and recurrance rate were evaluated. RESULTS: In this study, OKC has male prevalance to female by 1.38:1, and most likely occurs during third decade. The most common site of lesion was mandibular ramus region(34.6%) and the most common symptom was swelling(50%). The most common initial diagnosis by radiographic findings was OKC and cyst enucleation was the most common treatment method. The recurrance rate was 28% and existence of daugther cyst is thought to be most convincing factor for prediction of recurrence. CONCLUSION: In this study, total recurrence rate was 28% and existence of daugther cyst is thought to be most convincing factor for prediction of recurrence. But, since 97% of patients were treated by enucleation and adjuntive excision, further styudy is need about concordance of recurrence rate with surgical method.
Female
;
Humans
;
Male
;
Odontogenic Cysts
;
Recurrence
;
Surgery, Oral

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