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To distinguish various molecular subtypes of gliomas by spectra data obtained from Raman analyzer, including IDH mutant, 1p/19q-codeleted, ATRX deletion, TERT promoter mutation, MGMT promoter methylation, EGFR amplification, H3 K27-altered, TP53 mutant, PTEN deficiency, ki 67, AQP4, VEGF, and so on, comparing with the results of Immunohistochemistry or genetic test on the same brain tissue samples.
Full description
1500 samples were included retrospectively with the spectra data obtained from Raman analyzer to establish clinical intelligence model, modifying the analyzer. Based on statistical calculations, 200 glioma samples will be included in the trial in all trial centers prospectively. Compare the results between the Raman analyzer and Immunohistochemistry or genetic test results. And calculate the AUC, the accuracy, sensitivity, the specificity, and other indicators of Raman analyzer.
During surgery, core tissue samples were taken from subjects. The test samples size:0.2cm<length diameter ≤ 2cm. The sample testing result is based on the Raman test points. Then take the same tissue sample for Immunohistochemistry or genetic test.
Statistical description of all data, including baseline data, all efficacy indicators, and all safety data. The measurement data give the mean, standard deviation, minimum, maximum, median,25 quantile and 75 quantile; Provide frequency and composition ratio for counting data. The baseline data was analyzed using the Full Analysis Set (FAS); The effectiveness analysis adopts FAS and PPS; The security analysis uses the Security Dataset (SS).
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Exclusion criteria
Investigator judge that it is not suitable for inclusion.
Primary purpose
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Interventional model
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200 participants in 1 patient group
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Central trial contact
Wang Yinyan, MD and PhD
Data sourced from clinicaltrials.gov
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