Injoong Kim
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Injoong Kim has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Hyun Jung Yoon
Department of Radiology, Veterans Health Service Medical Center, Seoul, Korea
2 shared publications - So Hyeon Bak
Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
2 shared publications - Yoon Ki Cha
Sungkyunkwan University School of Medicine
2 shared publications Emil Cornea
1 shared publication- Eunju Lee
Department of Radiology, Veterans Health Service Medical Center, Seoul, Korea
1 shared publication John H. Gilmore
1 shared publication
Latest Publications
- Open Access
Impacts of perinatal factors on white matter outcome at 8 to 10 years by diffusion tensor imaging
Background: While perinatal factors are known to influence brain development, their long-term impact on white matter microstructure remains incompletely understood. Previous studies using tract-based spatial statistics (TBSS) have shown limited associations between neonatal measures and later white matter development. Methods: We investigated associations between perinatal factors (birth weight [BW], gestational age [GA], and head circumference [HC]) and white matter microstructure in 117 children aged 8-10 years from the UNC Early Brain Development Study cohort. Diffusion tensor imaging (DTI) data were analyzed using a fiber tract-based framework examining 54 major white matter tracts. Statistical analysis was performed using a functional analysis of fiber tract profiles. Results: GA and BW showed widespread significant associations with white matter microstructure (38 and 36 out of 54 tracts, respectively), while HC showed limited associations (3 out of 54 tracts). Post-hoc univariate analysis revealed stronger associations with axial diffusivity (AD) compared to radial diffusivity (RD) or fractional anisotropy (FA). AD associations with BW, GA, and HC were found in 30, 31, and 8 tracts, respectively. Conclusions: Using a fiber tract-based analysis approach, we demonstrated that GA and BW are strongly predictive of white matter organization at school age, while HC showed limited predictive power. The predominant associations with AD suggest these perinatal factors primarily influence axonal organization rather than myelination. These findings enhance our understanding of how early life factors impact long-term brain development.
Open AccessImpacts of perinatal factors on white matter outcome at 8 to 10 years by diffusion tensor imaging
Background: While perinatal factors are known to influence brain development, their long-term impact on white matter microstructure remains incompletely understood. Previous studies using tract-based spatial statistics (TBSS) have shown limited associations between neonatal measures and later white matter development. Methods: We investigated associations between perinatal factors (birth weight [BW], gestational age [GA], and head circumference [HC]) and white matter microstructure in 117 children aged 8-10 years from the UNC Early Brain Development Study cohort. Diffusion tensor imaging (DTI) data were analyzed using a fiber tract-based framework examining 54 major white matter tracts. Statistical analysis was performed using a functional analysis of fiber tract profiles. Results: GA and BW showed widespread significant associations with white matter microstructure (38 and 36 out of 54 tracts, respectively), while HC showed limited associations (3 out of 54 tracts). Post-hoc univariate analysis revealed stronger associations with axial diffusivity (AD) compared to radial diffusivity (RD) or fractional anisotropy (FA). AD associations with BW, GA, and HC were found in 30, 31, and 8 tracts, respectively. Conclusions: Using a fiber tract-based analysis approach, we demonstrated that GA and BW are strongly predictive of white matter organization at school age, while HC showed limited predictive power. The predominant associations with AD suggest these perinatal factors primarily influence axonal organization rather than myelination. These findings enhance our understanding of how early life factors impact long-term brain development.
- Open Access
- 1 January 2024
- Published by XMLink in Journal of the Korean Society of Radiology
- Vol. 85 (2) , 394-408
Predictions of PD-L1 Expression Based on CT Imaging Features in Lung Squamous Cell Carcinoma
여성희, et al. J Korean Soc Radiol. 2024 Mar;85(2):394-408. https://doi.org/10.3348/jksr.2023.0011
- 1 January 2024
- Published by XMLink in Journal of the Korean Society of Radiology
- Vol. 85 (2) , 394-408
Open AccessPredictions of PD-L1 Expression Based on CT Imaging Features in Lung Squamous Cell Carcinoma
여성희, et al. J Korean Soc Radiol. 2024 Mar;85(2):394-408. https://doi.org/10.3348/jksr.2023.0011
- Open Access
- 30 September 2021
- Published by The Busan, Ulsan, Gyeoungnam Branch of The Korean Society of Otolaryngology in Journal of Clinical Otolaryngology
- Vol. 32 (2) , 153-157
A Case of Idiopathic Multiple Sialectasis in Stensen’s Duct Presenting as Cheek Mass
- 30 September 2021
- Published by The Busan, Ulsan, Gyeoungnam Branch of The Korean Society of Otolaryngology in Journal of Clinical Otolaryngology
- Vol. 32 (2) , 153-157
Open AccessA Case of Idiopathic Multiple Sialectasis in Stensen’s Duct Presenting as Cheek Mass
- Top Cited PapersOpen Access
- 1 January 2021
- Published by XMLink in Korean Journal of Radiology
- Vol. 22 (1) , 131-138
Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise
Kim JH, et al. Korean J Radiol. 2021 Jan;22(1):131-138. https://doi.org/10.3348/kjr.2020.0116
- 1 January 2021
- Published by XMLink in Korean Journal of Radiology
- Vol. 22 (1) , 131-138
Top Cited PapersOpen AccessValidation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise
Kim JH, et al. Korean J Radiol. 2021 Jan;22(1):131-138. https://doi.org/10.3348/kjr.2020.0116