Ting-ting Lin1 and Jiang-ning Dong2
1Radiology Department, Anhui Provincial Cancer Hospital, Hefei, China, 2Radiology department, Anhui Provincial Cancer Hospital, Hefei, China
1Radiology Department, Anhui Provincial Cancer Hospital, Hefei, China, 2Radiology department, Anhui Provincial Cancer Hospital, Hefei, China
Radiomics features based on DCE-MRI have good repeatability and are of high value for predicting pre-treatment differentiation of cervical cancer
The
specificity of the specific-sensitivity curve obtained by logistic regression
was 71.2%, the sensitivity was 65.8%, the positive predictive value was 0.762,
and the negative predictive value was 0.684. The obtained characteristics were
verified by the high, middle and low differentiation groups of the validation
group. The area under the ROC was 0.896, 0.700, 0.716, the average AUC was
0.765, and the specificity was 86.4%, 69.2%, 76.1% respectively , sensitivity
is 68.6%, 79.5%, 81.2%.
Fig2 A-F A 37-year-old woman has a cervical mass with circum wall involvement.