Study on the Application of Hyperspectral Imaging Technique in CTX Treatment of IMN
- Conditions
- Hyperspectral ImagingIdiopathic Membranous NephropathyCyclophosphamide
- Interventions
- Device: Microscopic hyperspectral imaging system
- Registration Number
- NCT05850845
- Lead Sponsor
- Qianfoshan Hospital
- Brief Summary
Investigators propose hyperspectral imaging analysis as a method to distinguish the efficacy of hormone-combined cyclophosphamide therapy for PMN, and classify sensitive and insensitive patients treated with hormone-combined cyclophosphamide regimen. A variety of machine learning models were used to prove that hyperspectral imaging technology could assist patients in selecting the optimal treatment plan, and further explore the predictive indicators of PMN treatment effect.
- 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.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 40
- 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.
- 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 & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description CTX group in remission Microscopic hyperspectral imaging system 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 group without remission Microscopic hyperspectral imaging system 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.
- Primary Outcome Measures
Name Time Method Microhyperspectral image of a transrenal specimen 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%
- Secondary Outcome Measures
Name Time Method