Young-Jun Lim

Prof. Young-Jun Lim

Seoul National University, School Dentistry, Department of Prosthodontics, 101 Daehak Ro, Seoul 110749, South Korea
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 November 2016 in Advanced Healthcare Materials
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Journal Article
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YSYong Cheol Shin
Yong Cheol Shin
DSDong-Myeong Shin
Dong-Myeong Shin
ELEun Ji Lee
Eun Ji Lee
JLJong Ho Lee
Jong Ho Lee
JKJi Eun Kim
Ji Eun Kim
Dong-Wook HanDong-Wook Han
Dong-Wook Han

1 January 2014 in The Journal of Advanced Prosthodontics
Verified
Journal Article
Open access
PDF file
HRHyo-Sook Ryu
Hyo-Sook Ryu
CNCheol Namgung
Cheol Namgung
JLJong-Ho Lee
Jong-Ho Lee
Young-Jun LimYoung-Jun Lim
Young-Jun Lim
Ryu HS, et al. J Adv Prosthodont. 2014 Dec;6(6):547-554. https://doi.org/10.4047/jap.2014.6.6.547

29 December 2010 in Clinical Oral Implants Research
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Journal Article
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KKKi-Seong Kim
Ki-Seong Kim
Young-Jun LimYoung-Jun Lim
Young-Jun Lim
MKMyung-Joo Kim
Myung-Joo Kim
HKHo-Beom Kwon
Ho-Beom Kwon
JYJae-Ho Yang
Jae-Ho Yang
SYSoon-Ho Yim
Soon-Ho Yim

22 October 2020 in Materials
Verified
Journal Article
Open access
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YCYoung Eun Cho
Young Eun Cho
Young-Jun LimYoung-Jun Lim
Young-Jun Lim
JHJung-Suk Han
Jung-Suk Han
In-Sung YeoIn-Sung Yeo
In-Sung Yeo
HYHyung-In Yoon
Hyung-In Yoon
Translucent zirconia, manufactured by increasing the yttria content, offers improved translucency, but may have a negative effect on esthetic outcomes under clinical conditions such as discolored abutment because of the reflection of the underlying color. The purpose of this in vitro study was to compare the translucency parameter and masking ability of 3 mol % yttria-stabilized tetragonal zirconia polycrystal (3Y-TZP (Katana HT)), 4Y-ZP (Katana STML), and 5Y-ZP (Katana UTML) with those of lithium disilicate (Rosetta SM). Zirconia and lithium disilicate specimens of 10 mm diameters and 0.8 and 1.5 mm thicknesses were fabricated. Their CIE L*a*b* values (L*, brightness; a*, red-green value; b*, yellow-blue value) were measured at the center of the specimens against black and white backgrounds using a spectrophotometer, and translucency parameter (TP) values were determined. The microstructure of the specimens was observed using scanning electron microscopy. Four cylindrical backgrounds of different shades were prepared. The zirconia and lithium disilicate specimens were placed on the backgrounds without any intervening medium. CIE L*a*b* values were obtained, and the color difference value (ΔE) was calculated. Thresholds for acceptability and perceptibility were assumed as ΔE = 5.5 and ΔE = 2.6, respectively, to evaluate masking ability. Data were compared using one-way analysis of variance and post-hoc was performed using Scheffe’s test (α = 0.05). In zirconia specimens, the TP value increased as the yttria content increased from 3 mol %, through 4 mol % to 5 mol %, and all zirconia specimens showed lower TP values than lithium disilicate specimens did. All zirconia specimens showed optimal masking ability against a normal dentin shade (ND3) and acceptable masking ability against titanium at a minimum thickness of 1.5 mm. However, no zirconia specimen could mask severely discolored dentin (ND9), regardless of thickness. The decrease in zirconia thickness from 1.5 to 0.8 mm significantly increased translucency. Monolithic Y-TZP ceramics could mask a normal dentin background but could not mask severely discolored dentin at either 0.8 or 1.5 mm thicknesses.

7 January 2019 in Journal of Clinical Medicine
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Journal Article
Open access
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SPSe-wook Pyo
Se-wook Pyo
Young-Jun LimYoung-Jun Lim
Young-Jun Lim
KKKi-Tae Koo
Ki-Tae Koo
JLJungwon Lee
Jungwon Lee
The purpose of this review is to examine various assessment methods in order to compare the accuracy between the virtually planned and clinically achieved implant positions. In this review, comparison methods using pre- and post-operative computed topography (CT) data and digital impressions for definitive prosthesis will be described. The method for the displacement and strain for quantification of the error will also be explored. The difference between the planned and the actual implant placement position in guided implant surgery is expressed as an error. Assessing the accuracy of implant-guided surgery can play an important role as positive feedback in order to reduce errors. All of the assessment methods have their own inevitable errors and require careful interpretation in evaluation.

29 September 2011 in Clinical Oral Implants Research
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Journal Article
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JHJongrak Hong
Jongrak Hong
Young-Jun LimYoung-Jun Lim
Young-Jun Lim
SPSang‐Oh Park
Sang‐Oh Park