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滑动多层磁共振成像对原发性卵巢癌分期的应用研究 被引量:6

Value of MRI with sliding multi-slice technique for staging ovarian carcinoma
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摘要 目的分析滑动多层磁共振成像(SMS-MRI)的技术特点,并探讨SMS-MRI在原发性卵巢癌分期中的价值。方法对15例卵巢癌患者术前行SMS-MRI扫描,扫描范围包括胸腹盆腔(从胸廓入口至盆底)。SMS-MRI扫描的主要序列有常规T_2WITSE序列、SMS-TIRM序列和SMSFLASH 2D压脂增强序列。SMS-MRI图像由两位放射科医师随机单盲阅片后进行分期诊断,并将其结果与手术病理结果对照。观察内容包括:(1)肿瘤定位(单侧或双侧);(2)局部浸润:子宫输卵管或其他盆腔组织受侵;(3)腹膜转移;(4)淋巴结转移;(5)远处转移。结果 15例均经组织病理学证实,其中浆液性囊腺癌9例,黏液性囊腺癌2例,子宫内膜样癌2例,透明细胞癌和颗粒细胞癌各1例。手术病理分期为Ⅰ期0例,Ⅱ期2例,Ⅲ期10例,Ⅳ期3例。以手术病理结果为金标准,SMS-MRI对于原发性卵巢癌总的分期准确率为100%(15/15)。SMS-MRI在卵巢癌的定位诊断、子宫输卵管局部浸润和远处转移等方面的符合率均为100%。结论结合SMS技术的MRI可在保证图像质量的情况下,在较短的时间内一次性完成体部胸腹盆腔扫描,能较准确的完成卵巢癌原发灶和转移的侦测和分期,为卵巢癌分期诊断提供了一项新的影像诊断选择。 Objective To analyze the technical characteristics of sliding multi-slice magnetic resonance imaging (SMS-MRI), and to evaluate the value of staging ovarian carcinoma by SMS-MRI. Methods Pre-operative SMS-MRI of chest, abdomen and pelvis was performed on 15 patients with ovarian carcinoma. Sequences included TSE T2WI, SMS TIRM and fat-suppressed contrast-enhanced SMS FLASH. The SMS-MRI was analyzed and staged according to FIGO's classification by two radiologists. The location of tumor, local invasion of uterus and fallopian tube or other pelvic tissues, peritoneum metastasis, lymph node metastasis and distal metastasis were recorded. The results were compared with operative and pathological findings. Results The pathological diagnosis was serous cystadenocarcinoma (9), mucinous cystadenocarcinoma (2), endometrioid carcinoma (2), clear cell carcinoma (1) and granular cell carcinoma (1) at stage II (2), stage III (10) and stage IV (3). The accuracy of SMS-MRI staging was 100% (15/15). The tumor location, involvement of uterus and fallopian tubes as well as distant metastasis were accurately demonstrated by SMS-MRI. Conclusion SMS-MRI can be a faster one-stop examination with good image quality. SMS-MRI is an alternative imaging method of staging ovarian carcinoma.
出处 《影像诊断与介入放射学》 2010年第3期145-148,共4页 Diagnostic Imaging & Interventional Radiology
关键词 磁共振成像 卵巢癌 分期 滑动多层技术 Magnetic resonance imaging Ovarian carcinoma Staging Sliding multi-slice technique
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