卵巢浆黏液性交界性肿瘤MRI影像学表现

Ovarian Seromucinous Borderline Tumor:MR Imaging Findings

目的探讨卵巢浆黏液性交界性肿瘤(SMBT)的MRI影像学特点。方法回顾性分析经病理证实的9例SMBT患者及15例黏液性交界性肿瘤(MBT)患者的临床及MRI资料,观察肿瘤发病部位、年龄、大小、境界、信号等特点,并对比病理分析。结果9例患者共11个SMBT,2例发生在双侧卵巢,7例发生在单侧卵巢,包括左侧卵巢4例和右侧卵巢3例,均囊性为主型,单囊7个和多囊4个,平均直径(6.6±2.8)cm,境界均清楚,囊壁增厚等与MBT对比差异无统计学意义(P>0.05)。囊液均呈T1WI高信号、T2WI高信号;具多发壁结节,且壁结节9个呈T1WI等低信号、T2WI高信号,2个呈T1WI等低信号、T2WI低信号,伴发子宫内膜异位症等方面差异有统计学意义(P<0.05)。结论卵巢SMBT与MBT在发生年龄、部位、大小、囊腔多寡、囊壁增厚等方面无明显差异;但SMBT的囊液T1WI/T2WI高信号,具多发囊内壁结节且壁结节T2WI信号明显高于囊液,以及伴子宫内膜异位症等是SMBT较典型的MRI特点,据此能提高诊断率。

Objective To investigate the MRI imaging characteristics of ovarian serous-mucinous borderline tumor(SMBT).Methods The clinical and MRI data of 9 SMBT patients and 15 mucinous borderline tumors(MBT)confirmed by pathology were retrospectively analyzed.The location,age,size,boundary,signal and other characteristics of tumors were observed and compared with pathological analysis.Results There were 11 SMBTs in 9 patients,2 cases occurred in bilateral ovaries,7 cases occurred in unilateral ovaries,including 4 cases of left ovary and 3 cases of right ovary.There were 4 polycystic,with an average diameter of(6.6±2.8)cm,and the boundaries were clear.There was no statistically significant difference in cyst wall thickening compared with MBT(P>0.05).The cyst fluid showed T1 WI high signal and T2 WI high signal;there were multiple mural nodules,and 9 mural nodules showed low signal such as T1 WI and high signal T2 WI,and 2 showed low signal such as T1 WI and low signal on T2 WI.When accompamied by intrauterine disease,the difference in membranous ectopic disease was statistically significant(P<0.05).Conclusion There is no significant difference between ovarian SMBT and MBT in age,location,size,number of cysts,and cyst wall thickening.However,SMBT has high signal on T1 WI/T2 WI of cyst fluid,and has multiple cyst inner wall nodules and wall nodules with T2 WI signal significantly higher than the sac fluid.When accompanied by endometriosis or the more typical MRI features of SMBT,which can improve the diagnosis rate.