Chonnam National University Hospital
Gwangju, 61469, South Korea
NCT Number: NCT05383053
* Purpose of clinical trial; This clinical trial is designed to evaluate the effectiveness of 'NeuroAI' prediction accuracy compared to the amyloid PET test results by retrospectively collecting medical data of patients with mild cognitive impairment to evaluate the effectiveness of artificial intelligence-based brain image detection and diagnosis assistance software 'NeuroAI'. * Participants; Patient with mild cognitive impairment
Looking for future studies?
Notify Me50 year and older
All sexes
Observational
Gwangju, 61469, South Korea
*Positive: Amyloid PET Positive
**Negative: Amyloid PET Negative
** 3-slice 2D T2-FLAIR MRI scan: Plane shall be taken by axial.
☞ Images diagnosed with clear cerebral matrix damage (e.g., brain tumor, cerebral infarction, brain damage, normal pressure hydrocephalus, encephalitis) or mild cognitive impairment caused by metabolic diseases cannot participate in this clinical trial.
☞ When moving medical data at Chosun University Hospital, an external hard drive with permission set so that only the tester can access it is used and delivered directly to the tester without using mail or other means.
*Anonymization: permanently deleting personal identification information or replacing all or part of the personal identification information with the unique identification symbol of the organization.
**Clinical information: Date of birth (or full age), gender, education level, APOE genotype, mild cognitive impairment diagnostic date, mild cognitive impairment causative disease (Alzheimers, vascular, Louise, Parkinson's disease, frontal lobe, brain tumor, cerebral infarction, normal hydrocephalus, unknown, other test days (PET).
☞ The images and documents delivered to the clinical trial medical care manager are blindfolded so that they do not include any information other than random arrangement numbers and clinical information entered into the clinical trial medical device.
☞ During the clinical trial period, other test personnel other than medical care managers set access to the data so that predictive information of medical devices for clinical trials cannot be viewed.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
** 3-slice 2D T2-FLAIR MRI scan: Plane shall be taken by axial.
☞ Images diagnosed with clear cerebral matrix damage (e.g., brain tumor, cerebral infarction, brain damage, normal pressure hydrocephalus, encephalitis) or mild cognitive impairment caused by metabolic diseases cannot participate in this clinical trial.
Exclusion criteria
☞Chonnam National University Hospital and Chosun University Hospital use images not included in GARD cohort.
NeuroAI is an artificial brain diagnostic software that determines whether to perform amyloid PET tests for Alzheimer's by specialists through the detection of amyloid PET positive rates based on brain MR images (T1 weighted MRI, T2 FLAIR MRI) and clinical information (age, gender, and APOE) genotype.
When using this product, input gender, birth year, and apolipoproteinE (APOE) genotype and upload T1 MR image and T2 Flair image, input data and image analysis result data are integrated to infer the positive rate of amyloid PET by PET positive prediction model. The result report provides image analysis results and amyloid PET positive prediction results compared to normal groups.
Time frame: Jun-2022 until Dec-2022
Clinical efficacy evaluation of the probability of predicting 'NeuroAI' as positive amyloid PET phase for MR images of positive factors as a result of amyloid PET test
Time frame: Jun-2022 until Dec-2022
Clinical efficacy evaluation of the probability that 'NeuroAI' does not predict positive amyloid PET phase for MR images of negative factors as a result of amyloid PET test
Time frame: Jun-2022 until Dec-2022
Clinical efficacy evaluation of the area below the ROC graph using the sensitivity (Y-axis) and false positive prediction (1-specificity, X-axis) of amyloid PET positive prediction presented by NeuroAI compared to the amyloid PET test results
Time frame: Jun-2022 until Dec-2022
Clinical efficacy evaluation of the probability that the amyloid PET test results and the prediction information on the amyloid PET of 'NeuroAI' match
Neurozen Inc.
Industry
A Single-center, Retrospective, Pivotal Study to Evaluate the Efficacy of Artificial Intelligence-based Computer Aided Diagnosis Software That Assists in Determining Whether or Not to Conduct Amyloid PET for the Diagnosis of Alzheimer's Disease by Predicting Amyloid PET Positivity Using MR Brain Images(Including T1 Weighted MRI and T2 FLAIR MRI) and Clinical Information (Age, Sex, APOE(apolipoproteinE) Genotype) in Mild Cognitive Impairment Patients
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06347172
Alzheimer Disease, Brain Diseases
Boston, Massachusetts, United States
View Trial DetailsNCT03933696
Alzheimer Disease, Brain Diseases
New Brunswick, New Jersey, United States
View Trial DetailsNCT05584241
Alzheimer Disease, Amnestic Mild Cognitive Disorder
Ann Arbor, Michigan, United States
View Trial DetailsNCT06121986
Adherence, Alzheimer Disease
Tallahassee, Florida, United States
View Trial Details