Study on the Application of Hyperspectral Imaging Technique in CTX Treatment of IMN
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Renal puncture pathological sections from patients with nephropathy. ENVI Classic software was used to process the hyperspectral images and delineate the region of interest, and the one-dimensional spectral data of each pixel in each region were derived. Machine learning and deep learning methods were used to analyze the characteristics of hyperspectral data and classify them.
The data of the previous study came from the Department of Pathology and Nephrology of Qianfoshan Hospital in Shandong Province. Under the light microscope, electron microscope and immunofluorescence microscope, the pathological types of glomerular diseases in patients with proteinuria were identified. By scanning the corresponding patient's H&E stained pathological sections, the hyperspectral microscopic images were classified by machine learning and deep learning methods, and the classification accuracy was greater than 85%. It was concluded that hyperspectral imaging technology can be used as a non-invasive diagnostic method to predict treatment response.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Wang Zunsong, doctor
- Phone Number: 18660190175
- Email: wzsong3@163.com
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Over 18 years old;
- Patients with idiopathic membranous nephropathy confirmed by renal biopsy;
- Had not received hormone and/or immunosuppressive therapy before renal biopsy;
- Complete clinical data, all signed the "Admission Certificate of Qianfoshan Hospital of Shandong Province", and agreed to use relevant medical information, biological specimen examination and examination results for scientific research.
Exclusion Criteria:
- 1.There are factors causing secondary membranous nephropathy, such as immune diseases (systemic lupus erythematosus), tumors/infections (viral hepatitis), drugs or poisons, etc. ;
- Severe infection: fever, cough and expectoration, sore throat, abdominal pain, diarrhea, carbuncle and furuncle and other clinical manifestations of skin and soft tissue infection, blood routine white blood cell count beyond the normal range (10×109/L);
- Severe cardiovascular disease: including chronic heart failure grade 3 or above and various arrhythmias;
- Infectious diseases: active hepatitis, AIDS, syphilis, etc. ;
- Tumor evidence: it has been found that there is a certain tumor or clinical manifestations, tumor markers, etc., suggesting the possibility of tumor;
- Patients with follow-up time less than 6 months, incomplete data or missed diagnosis;
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
CTX group in remission
The patients with idiopathic membranous nephropathy were divided into two groups: the group in remission and the group without remission after the application of cyclophosphamide.
The pathological sections of the kidneys of the two groups were observed by microhyperspectral imaging system, and the differences between the two groups of patients under the spectrum were analyzed.
|
CTX for idiopathic membranous nephropathy
|
|
CTX group without remission
The patients with idiopathic membranous nephropathy were divided into two groups: the group in remission and the group without remission after the application of cyclophosphamide.
The pathological sections of the kidneys of the two groups were observed by microhyperspectral imaging system, and the differences between the two groups of patients under the spectrum were analyzed.
|
CTX for idiopathic membranous nephropathy
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Microhyperspectral image of a transrenal specimen
Time Frame: 2023.3-2023.12
|
The microscopic hyperspectral images could accurately distinguish the remission group from the remission group with an accuracy of more than 80%
|
2023.3-2023.12
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- HSI in CTX treaatment of IMN
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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