박지은 조교수
#영상의학과
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학력
2013 .09 ~ 2016 .02이화여자대학교 의학 박사
2011 .03 ~ 2013 .02이화여자대학교 의학 석사
2003 .03 ~ 2009 .02이화여자대학교 의학 학사
2011 .03 ~ 2013 .02이화여자대학교 의학 석사
2003 .03 ~ 2009 .02이화여자대학교 의학 학사
경력
2019 .03 ~ 현재서울아산병원 영상의학과 조교수
2016 .03 ~ 2019 .02서울아산병원 영상의학과 임상전임강사
2014 .03 ~ 2016 .02서울아산병원 영상의학과 임상강사
2016 .03 ~ 2019 .02서울아산병원 영상의학과 임상전임강사
2014 .03 ~ 2016 .02서울아산병원 영상의학과 임상강사
논문
A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features.
Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign.
Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer-weighted and Perfusion-weighted MRI compared with Diffusion-weighted MRI.
Prediction of Core Signaling Pathway by Using Diffusion- and Perfusion-based MRI Radiomics and Next-generation Sequencing in Isocitrate Dehydrogenase Wild-type Glioblastoma.
Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI.
Amide proton transfer-weighted MRI can detect tissue acidosis and monitor recovery in a transient middle cerebral artery occlusion model compared with a permanent occlusion model in rats.
Intra-individual correlations between quantitative THK-5351 PET and MRI-derived cortical volume in Alzheimer's disease differ according to disease severity and amyloid positivity.
Permeability measurement using dynamic susceptibility contrast magnetic resonance Amide proton transfer-weighted MRI in distinguishing high- and low-grade gliomas: a systematic review and meta-analysis
Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma.
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement.
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma.
Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma.
Repeatability of amide proton transfer-weighted signals in the brain according to clinical condition and anatomical location.
Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives.
Amide Proton Transfer Imaging seems to provide Higher Diagnostic Performance in Post-treatment High-grade Gliomas than Methionine Positron Emission Tomography
Application of Amide Proton Transfer-weighted MRI in High-grade Brain Tumors: Current State as a Metabolic Imaging
Clinical value of vascular permeability estimates using dynamic susceptibility contrast MRI: Improved diagnostic performance in distinguishing hypervascular primary CNS lymphoma from glioblastoma
Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation
Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients
Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign.
Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer-weighted and Perfusion-weighted MRI compared with Diffusion-weighted MRI.
Prediction of Core Signaling Pathway by Using Diffusion- and Perfusion-based MRI Radiomics and Next-generation Sequencing in Isocitrate Dehydrogenase Wild-type Glioblastoma.
Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI.
Amide proton transfer-weighted MRI can detect tissue acidosis and monitor recovery in a transient middle cerebral artery occlusion model compared with a permanent occlusion model in rats.
Intra-individual correlations between quantitative THK-5351 PET and MRI-derived cortical volume in Alzheimer's disease differ according to disease severity and amyloid positivity.
Permeability measurement using dynamic susceptibility contrast magnetic resonance Amide proton transfer-weighted MRI in distinguishing high- and low-grade gliomas: a systematic review and meta-analysis
Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma.
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement.
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma.
Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma.
Repeatability of amide proton transfer-weighted signals in the brain according to clinical condition and anatomical location.
Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives.
Amide Proton Transfer Imaging seems to provide Higher Diagnostic Performance in Post-treatment High-grade Gliomas than Methionine Positron Emission Tomography
Application of Amide Proton Transfer-weighted MRI in High-grade Brain Tumors: Current State as a Metabolic Imaging
Clinical value of vascular permeability estimates using dynamic susceptibility contrast MRI: Improved diagnostic performance in distinguishing hypervascular primary CNS lymphoma from glioblastoma
Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation
Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients
저서
Advanced Physiologic Imaging: Perfusion?Theory and Applications
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발표자료
Prognostic relevance of gemistocytic grade II astrocytoma: MR imaging features compared to non-gemistocytic grade II astrocytoma
Amide proton transfer imaging as early biomarker for tissue reperfusion for rat stroke model
Development and External Validation of Diffusion and Perfusion MR Radiomics Model as a Diagnostic
Biomarker for Differentiating Between Pseudoprogression and True Progression in Patients with Newly Diagnosed Glioblastoma
Revised nomogram combining advanced MR imaging radiomics, clinical parameter, and genomics in patients with newly diagnosed glioblastoma: improved prognostication over established clinical model
Radiomics utilizing Fractional Anisotropy in Peritumoral Nonenhancing Region Predicts Local Progression and Overall Survival in Patients with Glioblastoma
Multiparametric MR radiomics as a diagnostic model for pseudoprogression in glioblastoma
Perfusion radiomic analysis shows a high prognostication index in patients with newly diagnosed glioblastoma
Building an apparent diffusion coefficient radiomics to yield high diagnostic performance in identifying atypical primary CNS lymphoma mimicking glioblastoma
Amide proton transfer-weighted MRI can reflect tissue acidosis and its reversal: demonstration with transient to permanent occlusion in a rat middle cerebral artery occlusion model
Using a large scale ADC radiomics and clinical parameters to predict survival in glioblastoma: Improved prognostication over established clinical model
Voxel-based multiparametric analysis of magnetic resonance imaging data for differentiating recurrent glioblastoma from delayed radiation necrosis
Up to 52 administrations of macrocyclic ionic MR contrast agent are not associated with intracranial gadolinium deposition: multifactorial analysis in 385 patients
Comparison of Quantitative Tau Deposition on THK-5351 PET Imaging and Hippocampal Volume in Diagnosis of Alzheimer’s Disease Spectrum
Comparison of amide proton transfer imaging and 11C Methionine PET in monitoring recurrence in post-treatment gliomas
Combination of high CBF with MGMT promoter methylation is associated with benefit from low-dose TMZ rechallenge at first recurrence
Cerebral Blood Flow at First Recurrence is Associated with Benefit from Low-dose Temozolomide Rechallenge in Glioblastoma
Utility of perfusion fraction of cerebral blood flow before or during temozolomide treatment in predicting progression of glioblastoma
Prognostic Modeling of Glioblastoma using eCRF (electronic Case Report Form)
Differences of Dynamic Fluctuations in Short- and Long-range Connections on Resting?state fMRI: Comparison between Healthy Young and Older Adults
Amide proton transfer imaging as early biomarker for tissue reperfusion for rat stroke model
Development and External Validation of Diffusion and Perfusion MR Radiomics Model as a Diagnostic
Biomarker for Differentiating Between Pseudoprogression and True Progression in Patients with Newly Diagnosed Glioblastoma
Revised nomogram combining advanced MR imaging radiomics, clinical parameter, and genomics in patients with newly diagnosed glioblastoma: improved prognostication over established clinical model
Radiomics utilizing Fractional Anisotropy in Peritumoral Nonenhancing Region Predicts Local Progression and Overall Survival in Patients with Glioblastoma
Multiparametric MR radiomics as a diagnostic model for pseudoprogression in glioblastoma
Perfusion radiomic analysis shows a high prognostication index in patients with newly diagnosed glioblastoma
Building an apparent diffusion coefficient radiomics to yield high diagnostic performance in identifying atypical primary CNS lymphoma mimicking glioblastoma
Amide proton transfer-weighted MRI can reflect tissue acidosis and its reversal: demonstration with transient to permanent occlusion in a rat middle cerebral artery occlusion model
Using a large scale ADC radiomics and clinical parameters to predict survival in glioblastoma: Improved prognostication over established clinical model
Voxel-based multiparametric analysis of magnetic resonance imaging data for differentiating recurrent glioblastoma from delayed radiation necrosis
Up to 52 administrations of macrocyclic ionic MR contrast agent are not associated with intracranial gadolinium deposition: multifactorial analysis in 385 patients
Comparison of Quantitative Tau Deposition on THK-5351 PET Imaging and Hippocampal Volume in Diagnosis of Alzheimer’s Disease Spectrum
Comparison of amide proton transfer imaging and 11C Methionine PET in monitoring recurrence in post-treatment gliomas
Combination of high CBF with MGMT promoter methylation is associated with benefit from low-dose TMZ rechallenge at first recurrence
Cerebral Blood Flow at First Recurrence is Associated with Benefit from Low-dose Temozolomide Rechallenge in Glioblastoma
Utility of perfusion fraction of cerebral blood flow before or during temozolomide treatment in predicting progression of glioblastoma
Prognostic Modeling of Glioblastoma using eCRF (electronic Case Report Form)
Differences of Dynamic Fluctuations in Short- and Long-range Connections on Resting?state fMRI: Comparison between Healthy Young and Older Adults