The Study Of Differentiation Degree,Long-term Recurrence And Overall Survival Of Cervical Cancer Based On 3.0T Multi-parameter MRI And Texture Analysis

Partâ… :The value of ADC values and texture analysis in evaluating the differentiation degree of cervical squamous cell carcinomaObjective To explore the value of apparent diffusion coefficient（ADC）combined with texture features in evaluating the differentiation of cervical squamous cell carcinoma（CSCC）.Materials and Methods A total of 88 cases of CSCC with pathologically confirmed underwent routine magnetic resonance imaging（MRI）and diffusion weighted imaging（DWI）with b=0,1000 s/mm²,the ADC of the lesions were measured from DWI.And the texture analysis was performed on T₂WI images to obtain the texture parameters.One-way analysis of variance（ANOVA）and Least-Significant Difference（LSD）analysis by SPSS software were used in this study.P<0.05 showed the differences reached statistical significant.Then the receiver operating characteristic（ROC）curves were used to evaluate the diagnostic efficacy of ADC and texture parameters between compared groups with statistically significant differences.Results The ADC differed significantly between the differentiated groups（poorly vs.highly,poorly vs.moderately;P<0.05）,while there was no statistically difference between moderately and highly differentiated groups（P>0.05）.For the texture analysis,standard deviation and entropy were significantly different among the three groups（P<0.05）.The diagnostic efficacy of the ADC combined with texture parameters was higher than the ADC or texture analysis alone.Conclusion The ADC combined with texture analysis improves the diagnostic value of differentiation in CSCC preoperatively,which may provides an objective basis for personalized treatment and prognostic evaluation of CSCC.Part â…¡: Predictive Value for the Long–term Recurrence and Overall Survival Prognosis of Cervical Cancer Based on 3.0T multi-parameter MRI Texture AnalysisObjective To explore the value of texture 5analysis（TA）based on MRI in predicting long-term recurrence and overall survival（OS）of cervical cancer after treatment.Materials and Methods 88 cervical cancer patients admitted to our hospital from July2012 to July 2016 with complete clinical information and follow-up results were involved in our retrospective analysis.TA was performed on the DWI and T2 WI images,and the texture features were extracted using gray level co-occurrence matrix（GLCM）,gray level run length matrix（GLRLM）and gray level size zone matrix（GLSZM）.The results were compared by SPSS software,using independent sample T test or Mann-Whitney U test,P < 0.05 was statistically significant.The ROC were drawn,and Logistic regression was used to analyze the factors affecting the recurrence of cervical cancer patients.Cox regression analyses were performed to identify independent predictors of overall survival.Results Patients were divided into surgical group and non-surgical group according to the treatment methods.In the non-surgical group,8 texture features extracted from T2 WI images were significantly different between the patients with or without recurrence,which were large area emphasis（LAE）,large area high gray level emphasis（LAHGLE）and zone variance（ZV）of GLSZM,short run emphasis（SRE）,run percentage（RP）,run variance（RV）and long run emphasis（LRE）of GLRLM,and the inverse variance（IV）of GLCM.Among which the area under the curve（AUC）of LAHGLE was 0.764,the largest.Logistic regression analysis showed that LAHGLE and RV were independent factors in predicting the recurrence of advanced cervical cancer.Cluster prominence（CP）in DWI images（hazard ratio[HR]=1.001,P < 0.001）and IV of GLCM in T2 WI images（HR<0.001,P=0.013）were independent predictors of overall survival.However,there were no significant differences in texture features between the recurrent and non-recurrent patients in the surgical group based on DWI/T2 WI and the non-surgical group based on DWI（P>0.05）.Conclusion The texture features extracted from DWI and T2 WI based on the 3.0T MRI can predict the long-term recurrence of advanced cervical cancer and were significantly associated with overall survival,which is significant for the prognosis assessment.