目的 旨在分析MRI检查在卵巢 肿瘤诊断及鉴别诊断中的临床价值。方 法 选取我院2016年1月-2017年1月收治 的卵巢肿瘤患者68例，收集患者一般资 料、影像学资料等，观察卵巢肿瘤在MRI 扫描中的影像学表现特征，并以手术病 理学活检为标准，分析MRI扫描对卵巢 肿瘤的正确诊断率及鉴别诊断准确率。 结果 手术证实68例患者共82个病灶，其 中单侧病变者54例，双侧病变者14例， MRI扫描总检出80个病灶，病灶检出率为 97.56%(80/82)；MRI扫描对卵巢肿瘤准确 诊断率为92.64%(63/68)；诊断准确率由 高至低为卵巢颗粒细胞瘤、卵巢癌、卵巢 囊腺瘤、单纯性卵巢囊肿、卵巢巧克力 囊肿、卵巢成熟型畸胎瘤，准确率分别 100.00%、100.00%、92.85%、92.00%、 91.66%、88.88%；MRI图像显示良性肿瘤 病灶均较大，以囊性为主，囊壁薄，边界 清晰，形态规整，T1WI呈现低信号，T2WI 呈现高信号，增强扫描无明显强化；恶性 肿瘤病灶边界模糊，T1WI呈等低混杂信 号，T2WI呈现稍高信号，坏死区呈更长 T1、更长T2信号，增强后病灶呈现中高度 不均匀强化，病灶与周围组织分界不清 楚。结论 MRI对卵巢肿瘤检出、诊断准确 率较高，可清晰显示卵巢肿瘤的图像特 征，有利于提高鉴别卵巢肿瘤

Objective To analyze the clinical value of MRI in the diagnosis and differential diagnosis of ovarian tumors. Methods 68 cases of ovarian cancer treated in our hospital from January 2016 to January-2017 were selected, collect general information and imaging data of patients, observe the imaging features of ovarian tumor in MRI scan, analyze the accurate diagnosis rate and differential diagnostic accuracy of MRI scan in ovarian tumors by biopsy. Results There were 82 lesions in 68 cases confirmed by operation, unilateral lesions in 54 cases, bilateral lesions in 14 cases, 80 lesions were detected by MRI scan, and the detection rate of lesions was 97.56% (80/82). The accurate diagnosis rate of ovarian tumor by MRI scan was 92.64% (63/68). The diagnostic accuracy ranged from high to low for ovarian granulosa cell tumor, ovarian cancer, ovarian cystadenoma, simple ovarian cyst, ovarian chocolate cyst, and ovarian mature teratoma, the accuracy rates were 100%, 100%, 92.85%, 92%, 91.66%, 88.88%, respectively. MRI images showed benign tumors with larger lesions, mainly cystic, cystic wall thin, clear boundaries, regular morphology, T1WI showed low signal, T2WI showed high signal, and enhanced scan without obvious enhancement; The fuzzy boundary of malignant lesions, T1WI showed low signal, T2WI showed slightly higher signal, necrosis area was longer and longer T1 T2 signals were enhanced are highly heterogeneous enhancement, boundary of lesion and surrounding tissues is not clear. Conclusion MRI is more accurate in the detection and diagnosis of ovarian tumors, the image features of ovarian tumors can be clearly displayed, the utility model is beneficial for improving the accuracy of the qualitative diagnosis of ovarian tumors, and is worthy of clinical application.