Ignite Creation Date:
2024-05-06 @ 3:58 PM
Last Modification Date:
2024-10-26 @ 2:01 PM
Study NCT ID:
NCT04822623
Status:
UNKNOWN
Last Update Posted:
2021-03-30
First Post:
2021-03-11
Brief Title:
Imaging Evaluation of Central Nervous Autoimmune Diseases
Sponsor:
Qilu Hospital of Shandong University
Organization:
Qilu Hospital of Shandong University
Study Overview
Official Title:
Computer Aided Imaging Evaluation of Central Nervous System Autoimmune Diseases
Status:
UNKNOWN
Status Verified Date:
2020-07
Last Known Status:
NOT_YET_RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Multiple sclerosis MS is the most common demyelinating disease of the central nervous system and the most common cause of non traumatic disability in young and middle-aged people Neuromyelitis optica spectrum disease nmosd is an independent disease different from Ms the pathogenesis and the mode of brain and spinal cord injury are different from MS and the prognosis and optimal treatment are different It is difficult to distinguish the two diseases in the early stage Early diagnosis and treatment of the two diseases can greatly improve the quality of life of patients Therefore it is an urgent problem to clarify the difference between MS and nmosd injury patterns and to find sensitive imaging markers for early clinical intervention With the continuous progress of computer aided diagnosis CAD it is more and more widely used in medicine which is expected to help solve the above problems
The purpose of this study is to create a neuroimmune disease evaluation database based on image data By combining brain and spinal cord imaging and based on Zhang quantum space learning computer-aided technology we can achieve accurate segmentation of MS and nmosd brain and spinal cord lesions analyze the evolution characteristics of the disease at different time points and screen the imaging indexes related to clinical scores combined with clinical and laboratory indexes Objective to determine the different prognosis and its influencing factors at the clinical imaging and molecular levels and establish the model for predicting disease progression and prognosis so as to provide the basis for early identification and assistance in guiding treatment and judging prognosis
Clinical information was collected age gender course of disease MMSE EDSS disability score nine hole test 25 foot walking test Assess the patients information processing ability Blood samples were collected Imaging examination was performed The patients were followed up regularly
The purpose of this study is to create a neuroimmune disease evaluation database based on image data By combining brain and spinal cord imaging and based on Zhang quantum space learning computer-aided technology we can achieve accurate segmentation of MS and nmosd brain and spinal cord lesions analyze the evolution characteristics of the disease at different time points and screen the imaging indexes related to clinical scores combined with clinical and laboratory indexes Objective to determine the different prognosis and its influencing factors at the clinical imaging and molecular levels and establish the model for predicting disease progression and prognosis so as to provide the basis for early identification and assistance in guiding treatment and judging prognosis
Clinical information was collected age gender course of disease MMSE EDSS disability score nine hole test 25 foot walking test Assess the patients information processing ability Blood samples were collected Imaging examination was performed The patients were followed up regularly
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None