Clinical Trials Directory

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UnknownNCT05850845

Study on the Application of Hyperspectral Imaging Technique in CTX Treatment of IMN

Status
Unknown
Phase
Study type
Observational
Enrollment
40 (estimated)
Sponsor
Qianfoshan Hospital · Academic / Other
Sex
All
Age
18 Years – 90 Years
Healthy volunteers
Not accepted

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.

Conditions

Interventions

TypeNameDescription
DEVICEMicroscopic hyperspectral imaging systemCTX for idiopathic membranous nephropathy

Timeline

Start date
2023-06-25
Primary completion
2023-07-20
Completion
2023-12-30
First posted
2023-05-09
Last updated
2023-05-09

Source: ClinicalTrials.gov record NCT05850845. Inclusion in this directory is not an endorsement.