Analysis of the Diagnostic Value of MRI Diffusion Weighted Imaging and CT Enhanced Scanning in Cervical Cancer
Objective To analyze the application value of magnetic resonance imaging(MRI)diffusion weighted imaging(DWI)and CT enhanced scanning in the diagnosis of cervical cancer.Methods A retrospective analysis was conducted on the clinical data of 103 suspected cervical cancer patients.Both CT enhanced scans and DWI-MRI examinations were performed,with pathological tissue biopsy results as the"gold standard".The diagnostic results,diagnostic efficacy(sensitivity,specificity,missed diagnosis rate,misdiagnosis rate,accuracy),and diagnostic predictive value(positive predictive value,negative predictive value)were compared between DWI-MRI and CT enhanced scans;And statistically analyzed the changes in parameters related to malig-nant and benign patients diagnosed with DWI-MRI that comply with pathological results,such as inflow rate(WIR),outflow rate(WOR),maximum relative enhancement rate(MRE),time to peak(TTP),and diffusion coefficient(ADC).Results Among 103 suspected cervical cancer patients,87 were diagnosed as malignant and 16 as benign through pathological tissue biopsy;DWI-MRI diagnosed 84 malignant cases and 13 benign cases;CT enhanced diagnosis included 71 malignant cases and 10 benign cases.The sensitivity and accuracy of DWI-MRI examination were higher than those of CT enhanced scanning,and the missed diagnosis rate was lower than that of CT enhanced scanning(P<0.05);The negative predictive value of DWI-MRI was 81.25%higher than that of CT enhanced scan(P<0.05);Patients with malignant cervical cancer had higher WIR,WOR,MRE,and ADC parameters than benign patients,while TTP parameters were lower than benign patients(P<0.05).Conclusion Compared with CT en-hanced scanning,DWI-MRI has higher sensitivity and accuracy in the diagnosis of cervical cancer,which can reduce the missed diagnosis rate.Moreover,there are significant differences in DWI-MRI parameters between malignant and benign patients,which have good predictive values and can provide a basis for clinical scientific diagnosis.