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Clinical Diagnostic Value Of High Resolution Magnetic Resonance Imaging Using Thin-section And Small Field Of View Technique Combined With DCE-MRI Examination In Ovarian Tumor

Posted on:2017-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:X X JinFull Text:PDF
GTID:2334330485993030Subject:Imaging and nuclear medicine
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Background Ovarian tumor is one kind of the common tumors of the female reproductive system,and there is huge difference between the prognosis of the benign and malignant ovarian tumors.Magnetic resonance imaging has a good resolution of soft tissue,it can show the internal structure of the tumor,and the spread and infiltration of the tumor by it’s multi-faceted and multi-dimensional imaging,and it can display the anatomical structure of the surrounding normal tissue and its relationship with the ovarian tumor,so it can provide a more accurate image basis for clinicians to develop the next treatment.But it is often difficult to be diagnosed by routine MRI for some complex ovarian tumors,which are usually difficult to be diagnosed with solid tumors and cystic tumors.Thin layer and small view with high resolution Magnetic Resonance Imaging can detect small lesions,and show the lesion details clearly,easy to distinguish the relationship between the tumor and surrounding normal tissue and display the morphology of the lymph nodes.Research has shown that thin layers of magnetic resonance imaging has important clinical significance in the diagnosis of some lesion such as the pituitary tumors and trigeminal disease,however there are no reports about applying this technology on ovarian tumors MRI examination at home and abroad.This article aims to discuss the clinical diagnostic value of thin layer and small view with high resolution Magnetic Resonance Imaging,and discuss the clinical diagnostic value of thin layer and small view with high resolution Magnetic Resonance Imaging and DCE-MRI in ovarian tumors.Objective To explore the clinical diagnostic value of high resolution Magnetic Resonance Imaging(HR-MRI)using thin-section and small filed of view in ovarian tumors,and to explore the clinical diagnostic value of high resolution Magnetic Resonance Imaging using thin-section and small filed of view with DCE-MRI in ovarian tumors.Methods80 cases of patients with ovarian masses detected by Ultrasound underwent routine pelvic MRI scan and thin layer and small view with high resolution MRI in the region of interest,then all patients underwent the DCE-MRI examination,Finally there are 51 cases in the group.The results of operation and pathology were obtained in 2 weeks after the examination.Compared the diagnosis accuracy of routine MRI and HR-MRI using thin-section and small filed of view in ovarian tumors.Compared the diagnosis accuracy of routine MRI and HR-MRI using thin-section and small filed of view combined with DCE-MRI in ovarian tumors.Compared the diagnosis accuracy of routine MRI combined HR-MRI and routine MRI combined with DCE-MRI in ovarian tumors.Results In 51 cases of patients with ovarian tumors,57 lesions were found.The accuracy of characteristic diagnosis of routine MRI was 87.71%(49/57),and that of high resolution MRI was 96.49%(55/57),there were statistical difference between the two scans(P<0.05).The diagnostic accuracy of routine MRI combined with DCE-MRI was 92.98%(53/57),and the diagnostic accuracy of HR-MRI combined with DCE-MRI was 100%(57/57),and the difference between the two scans was statistically significant(P<0.05).There was no statistical difference between the diagnostic accuracy of routine MRI combined with HR-MRI and routine MRI combined with DCE-MR(P > 0.05).Conclusion High resolution MRI using thin-section and small filed of view technique is of great value in diagnosing ovarian tumor,and combined with DCE-MRI can significantly improve the diagnostic accuracy of ovarian cancer,but the high-resolution MRI still can not displace DCE-MRI.
Keywords/Search Tags:Ovarian tumor, Thin section and small filed of view, High resolution Magnetic Resonance Imaging, dynamic contrast enhanced MRI
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