1.Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data
ChulHyoung PARK ; Seng Chan YOU ; Hokyun JEON ; Chang Won JEONG ; Jin Wook CHOI ; Rae Woong PARK
Yonsei Medical Journal 2022;63(S1):74-83
Purpose:
Digital Imaging and Communications in Medicine (DICOM), a standard file format for medical imaging data, contains metadata describing each file. However, metadata are often incomplete, and there is no standardized format for recording metadata, leading to inefficiency during the metadata-based data retrieval process. Here, we propose a novel standardization method for DICOM metadata termed the Radiology Common Data Model (R-CDM).
Materials and Methods:
R-CDM was designed to be compatible with Health Level Seven International (HL7)/Fast Healthcare Interoperability Resources (FHIR) and linked with the Observational Medical Outcomes Partnership (OMOP)-CDM to achieve a seamless link between clinical data and medical imaging data. The terminology system was standardized using the RadLex playbook, a comprehensive lexicon of radiology. As a proof of concept, the R-CDM conversion process was conducted with 41.7 TB of data from the Ajou University Hospital. The R-CDM database visualizer was developed to visualize the main characteristics of the R-CDM database.
Results:
Information from 2801360 cases and 87203226 DICOM files was organized into two tables constituting the R-CDM. Information on imaging device and image resolution was recorded with more than 99.9% accuracy. Furthermore, OMOP-CDM and RCDM were linked to efficiently extract specific types of images from specific patient cohorts.
Conclusion
R-CDM standardizes the structure and terminology for recording medical imaging data to eliminate incomplete and unstandardized information. Successful standardization was achieved by the extract, transform, and load process and image classifier. We hope that the R-CDM will contribute to deep learning research in the medical imaging field by enabling the securement of large-scale medical imaging data from multinational institutions.
2.Effect of Choline Alfoscerate on the Progression From Mild Cognitive Impairment to Dementia: Distributed Network Analysis of a Multicenter Korean Database Using a Common Data Model
Jung-Min PYUN ; Inho LEE ; Kyungbok LEE ; Min-ho KIM ; ChulHyoung PARK ; Hyeon-Jong YANG
Dementia and Neurocognitive Disorders 2024;23(4):202-211
Background:
and Purpose: Choline alfoscerate (CA) is an acetylcholine precursor known for its beneficial effect on cognition in patient with Alzheimer’s disease dementia (ADD).However, there is little evidence of its effects in patients with mild cognitive impairment (MCI). We assessed the influence of CA on the progression from MCI to all-cause dementia or ADD in three observational Korean databases using a Common Data Model (CDM).
Methods:
Patients who were diagnosed with MCI and were aged over 60 years were included.After propensity score matching, 3,062 matched pairs patients using CA use and those not using CA were included. The Cox regression model was used to analyze the hazard ratio (HR) of CA use for conversion from MCI to all-cause dementia or ADD. Subgroup analyses were performed based on sex, acetylcholine esterase inhibitor (AchEI) use, and donepezil use.
Results:
A meta-analysis across three hospitals revealed that CA use was not associated with the progression from MCI to all-cause dementia (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.59–1.26) or ADD (HR, 1.05; 95% CI, 0.51–1.59). Subgroup analyses revealed that CA use was not related to progression to all-cause dementia or ADD when stratified by sex, AchEI use, and donepezil use.
Conclusions
In this multicenter cohort study based on the Observational Medical Outcomes Partnership CDM real-world data, no association was noted between CA use and disease progression from MCI to all-cause dementia or ADD.
3.Effect of Choline Alfoscerate on the Progression From Mild Cognitive Impairment to Dementia: Distributed Network Analysis of a Multicenter Korean Database Using a Common Data Model
Jung-Min PYUN ; Inho LEE ; Kyungbok LEE ; Min-ho KIM ; ChulHyoung PARK ; Hyeon-Jong YANG
Dementia and Neurocognitive Disorders 2024;23(4):202-211
Background:
and Purpose: Choline alfoscerate (CA) is an acetylcholine precursor known for its beneficial effect on cognition in patient with Alzheimer’s disease dementia (ADD).However, there is little evidence of its effects in patients with mild cognitive impairment (MCI). We assessed the influence of CA on the progression from MCI to all-cause dementia or ADD in three observational Korean databases using a Common Data Model (CDM).
Methods:
Patients who were diagnosed with MCI and were aged over 60 years were included.After propensity score matching, 3,062 matched pairs patients using CA use and those not using CA were included. The Cox regression model was used to analyze the hazard ratio (HR) of CA use for conversion from MCI to all-cause dementia or ADD. Subgroup analyses were performed based on sex, acetylcholine esterase inhibitor (AchEI) use, and donepezil use.
Results:
A meta-analysis across three hospitals revealed that CA use was not associated with the progression from MCI to all-cause dementia (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.59–1.26) or ADD (HR, 1.05; 95% CI, 0.51–1.59). Subgroup analyses revealed that CA use was not related to progression to all-cause dementia or ADD when stratified by sex, AchEI use, and donepezil use.
Conclusions
In this multicenter cohort study based on the Observational Medical Outcomes Partnership CDM real-world data, no association was noted between CA use and disease progression from MCI to all-cause dementia or ADD.
4.Effect of Choline Alfoscerate on the Progression From Mild Cognitive Impairment to Dementia: Distributed Network Analysis of a Multicenter Korean Database Using a Common Data Model
Jung-Min PYUN ; Inho LEE ; Kyungbok LEE ; Min-ho KIM ; ChulHyoung PARK ; Hyeon-Jong YANG
Dementia and Neurocognitive Disorders 2024;23(4):202-211
Background:
and Purpose: Choline alfoscerate (CA) is an acetylcholine precursor known for its beneficial effect on cognition in patient with Alzheimer’s disease dementia (ADD).However, there is little evidence of its effects in patients with mild cognitive impairment (MCI). We assessed the influence of CA on the progression from MCI to all-cause dementia or ADD in three observational Korean databases using a Common Data Model (CDM).
Methods:
Patients who were diagnosed with MCI and were aged over 60 years were included.After propensity score matching, 3,062 matched pairs patients using CA use and those not using CA were included. The Cox regression model was used to analyze the hazard ratio (HR) of CA use for conversion from MCI to all-cause dementia or ADD. Subgroup analyses were performed based on sex, acetylcholine esterase inhibitor (AchEI) use, and donepezil use.
Results:
A meta-analysis across three hospitals revealed that CA use was not associated with the progression from MCI to all-cause dementia (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.59–1.26) or ADD (HR, 1.05; 95% CI, 0.51–1.59). Subgroup analyses revealed that CA use was not related to progression to all-cause dementia or ADD when stratified by sex, AchEI use, and donepezil use.
Conclusions
In this multicenter cohort study based on the Observational Medical Outcomes Partnership CDM real-world data, no association was noted between CA use and disease progression from MCI to all-cause dementia or ADD.
5.Effect of Choline Alfoscerate on the Progression From Mild Cognitive Impairment to Dementia: Distributed Network Analysis of a Multicenter Korean Database Using a Common Data Model
Jung-Min PYUN ; Inho LEE ; Kyungbok LEE ; Min-ho KIM ; ChulHyoung PARK ; Hyeon-Jong YANG
Dementia and Neurocognitive Disorders 2024;23(4):202-211
Background:
and Purpose: Choline alfoscerate (CA) is an acetylcholine precursor known for its beneficial effect on cognition in patient with Alzheimer’s disease dementia (ADD).However, there is little evidence of its effects in patients with mild cognitive impairment (MCI). We assessed the influence of CA on the progression from MCI to all-cause dementia or ADD in three observational Korean databases using a Common Data Model (CDM).
Methods:
Patients who were diagnosed with MCI and were aged over 60 years were included.After propensity score matching, 3,062 matched pairs patients using CA use and those not using CA were included. The Cox regression model was used to analyze the hazard ratio (HR) of CA use for conversion from MCI to all-cause dementia or ADD. Subgroup analyses were performed based on sex, acetylcholine esterase inhibitor (AchEI) use, and donepezil use.
Results:
A meta-analysis across three hospitals revealed that CA use was not associated with the progression from MCI to all-cause dementia (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.59–1.26) or ADD (HR, 1.05; 95% CI, 0.51–1.59). Subgroup analyses revealed that CA use was not related to progression to all-cause dementia or ADD when stratified by sex, AchEI use, and donepezil use.
Conclusions
In this multicenter cohort study based on the Observational Medical Outcomes Partnership CDM real-world data, no association was noted between CA use and disease progression from MCI to all-cause dementia or ADD.