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Objective. To explore the significance of magnetic resonance imaging (MRI) combining with detection of serum HE4, TSGF, and CD105 levels in diagnosis and treatment of moderate to advanced cervical cancer. Methods. By means of retrospective study, 50 patients diagnosed with moderate to advanced cervical cancer by cervix biopsy pathology examination in our hospital from October 2018 to October 2019 were selected as the study group, and another 50 healthy individuals who did not have cervical cancer after routine gynecological examination and conventional ultrasound examination in the same period were selected as the control group. At the time of enrollment and 3 months after treatment, all study subjects received MRI examination and serological examination, and their HE4 and TSGF levels were measured by the enzyme-linked immunosorbent assay (ELISA) and chromatography method, respectively, and additionally, the immunohistochemistry SP method was adopted for patients in the study group to measure the microvessel density (MVD) marked by CD105. The relationship between MRI staging and FIGO staging was assessed, the efficacy of combining MRI with detection of serum HE4, TSGF, and CD105 levels in diagnosing moderate to advanced cervical cancer was calculated by plotting the ROC curve, and the imaging changes and serological changes of tumor tissue before and after treatment were analyzed. Results. There were 3 of 4 patients in stage IIa and 14 of 15 patients in stage IIIb presenting MRI findings compatible with clinical examinations; 26 patients in stage IIb and 5 patients in stage IVb presenting MRI findings totally compatible with clinical examination. Before treatment, MRI finding of cervical lesion was irregular soft tissue mass, T1WI appeared isointensity or hyperintensity, and obvious lesion enhancement could be seen by enhanced scan. T2WI appeared mixed signal intensity or hyperintensity, with necrotic tissue and fat suppression being hyperintensity. After treatment, lesions shrunk, originally abnormal signals in 5 patients disappeared, and T1WI and T2WI signals in 45 patients presented no difference compared to before treatment. After T1WI enhancement, mild enhancement could be seen in 41 cases and no enhancement in 4 cases. The CD105-MVD of the study group was (68.98 ± 5.23); before and after treatment, the differences in HE4 and TSGF levels between the study group and the control group were significant ( P < 0.001 ). The sensitivity, specificity, and accuracy rate of diagnosis of MRI diagnosis were respectively 82.0% (41/50), 90.0% (45/50), and 86.0% (86/100), and for the diagnosis combining with serum HE4, TSGF, and CD105 levels, they were 96.0% (48/50), 96.0% (48/50), and 96.0% (96/100), respectively, and AUC (95% CI) = 0.960 (0.908–1.000). Conclusion. MRI staging is objective and accurate and has higher sensitivity when combined with serum HE4, TSGF, and CD105 levels in diagnosing moderate to advanced cervical cancer. All MRI, HE4, and TSGF can reflect the treatment effect of patients and are of great importance to efficacy assessment.
Objective. To explore the significance of magnetic resonance imaging (MRI) combining with detection of serum HE4, TSGF, and CD105 levels in diagnosis and treatment of moderate to advanced cervical cancer. Methods. By means of retrospective study, 50 patients diagnosed with moderate to advanced cervical cancer by cervix biopsy pathology examination in our hospital from October 2018 to October 2019 were selected as the study group, and another 50 healthy individuals who did not have cervical cancer after routine gynecological examination and conventional ultrasound examination in the same period were selected as the control group. At the time of enrollment and 3 months after treatment, all study subjects received MRI examination and serological examination, and their HE4 and TSGF levels were measured by the enzyme-linked immunosorbent assay (ELISA) and chromatography method, respectively, and additionally, the immunohistochemistry SP method was adopted for patients in the study group to measure the microvessel density (MVD) marked by CD105. The relationship between MRI staging and FIGO staging was assessed, the efficacy of combining MRI with detection of serum HE4, TSGF, and CD105 levels in diagnosing moderate to advanced cervical cancer was calculated by plotting the ROC curve, and the imaging changes and serological changes of tumor tissue before and after treatment were analyzed. Results. There were 3 of 4 patients in stage IIa and 14 of 15 patients in stage IIIb presenting MRI findings compatible with clinical examinations; 26 patients in stage IIb and 5 patients in stage IVb presenting MRI findings totally compatible with clinical examination. Before treatment, MRI finding of cervical lesion was irregular soft tissue mass, T1WI appeared isointensity or hyperintensity, and obvious lesion enhancement could be seen by enhanced scan. T2WI appeared mixed signal intensity or hyperintensity, with necrotic tissue and fat suppression being hyperintensity. After treatment, lesions shrunk, originally abnormal signals in 5 patients disappeared, and T1WI and T2WI signals in 45 patients presented no difference compared to before treatment. After T1WI enhancement, mild enhancement could be seen in 41 cases and no enhancement in 4 cases. The CD105-MVD of the study group was (68.98 ± 5.23); before and after treatment, the differences in HE4 and TSGF levels between the study group and the control group were significant ( P < 0.001 ). The sensitivity, specificity, and accuracy rate of diagnosis of MRI diagnosis were respectively 82.0% (41/50), 90.0% (45/50), and 86.0% (86/100), and for the diagnosis combining with serum HE4, TSGF, and CD105 levels, they were 96.0% (48/50), 96.0% (48/50), and 96.0% (96/100), respectively, and AUC (95% CI) = 0.960 (0.908–1.000). Conclusion. MRI staging is objective and accurate and has higher sensitivity when combined with serum HE4, TSGF, and CD105 levels in diagnosing moderate to advanced cervical cancer. All MRI, HE4, and TSGF can reflect the treatment effect of patients and are of great importance to efficacy assessment.
The aim of this research is to explore the application value of Deep residual network model (DRN) for deep learning-based multi-sequence magnetic resonance imaging (MRI) in the staging diagnosis of cervical cancer (CC). This research included 90 patients diagnosed with CC between August 2019 and May 2021 at the hospital. After undergoing MRI examination, the clinical staging and surgical pathological staging of patients were conducted. The research then evaluated the results of clinical staging and MRI staging to assess their diagnostic accuracy and correlation. In the staging diagnosis of CC, the feature enhancement layer was added to the DRN model, and the MRI imaging features of CC were used to enhance the image information. The precision, specificity, and sensitivity of the constructed model were analyzed, and then the accuracy of clinical diagnosis staging and MRI staging were compared. As the model constructed DRN in this research was compared with convolutional neural network (CNN) and the classic deep neural network visual geometry group (VGG), the precision was 67.7, 84.9, and 93.6%, respectively. The sensitivity was 70.4, 82.5, and 91.2%, while the specificity was 68.5, 83.8, and 92.2%, respectively. The precision, sensitivity, and specificity of the model were remarkably higher than those of CNN and VGG models (P < 0.05). As the clinical staging and MRI staging of CC were compared, the diagnostic accuracy of MRI was 100%, while that of clinical diagnosis was 83.7%, showing a significant difference between them (P < 0.05). Multi-sequence MRI under intelligent algorithm had a high diagnostic rate for CC staging, deserving a good clinical application value.
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