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.
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).
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
200
Perform two diagnostic methods on the same sample
Beijing Tiantan Hospital
Beijing, Beijing Municipality, China
RECRUITINGArea Under the Curve
The Area Under the Curve of the ROC curve illustrates the performance of Raman analyzer for the diagnosis of molecular subtype in glioma, confirmed by immunohistochemistry or genetic test.
Time frame: Through study completion, an average of 1 year
Accuracy
The proportion of tissue samples with consistent results between Raman analyzer detection and immunohistochemistry or genetic test.
Time frame: Through study completion, an average of 1 year
Sensitivity
Among one kind of molecular subtype samples determined by immunohistochemistry or genetic test, the percentage of samples detected by Raman analyzer as the same molecular subtype.
Time frame: Through study completion, an average of 1 year
Specificity
Among one kind of molecular subtype samples determined by immunohistochemistry or genetic test, the percentage of samples detected by Raman analyzer as the different molecular subtype.
Time frame: Through study completion, an average of 1 year
Kappa coefficient
Kappa coefficient≥0.75 indicates high consistency; 0.75\>Kappa coefficient≥0.4, considered consistent; If the Kappa coefficient is less than 0.4, it is considered inconsistent.
Time frame: Through study completion, an average of 1 year
Time consumption for the Raman analyzer in detection
Time required from emitting laser to completing single point detection
Time frame: Through study completion, an average of 1 year
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Adverse Event Incidence Rate
Number of subjects with AE/total number of subjects ×100%
Time frame: During the surgery
Serious Adverse Event Incidence Rate
Number of subjects with SAE/total number of subjects ×100%
Time frame: During the surgery
Operator adverse events
Possible damage to device operators during the use and maintenance of the Raman analyzers
Time frame: Through study completion, an average of 1 year