An algorithm for the pre-operative differentiation of benign ovarian tumours based on magnetic resonance imaging interpretation in a regional core hospital: A retrospective study

Wataru Isono, Hiroko Tsuchiya, Reiko Matsuyama, Akihisa Fujimoto, Osamu Nishii
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Abstract

Objective

For selecting minimally invasive surgery (i.e. laparoscopic ovarian cystectomy) for treating ovarian tumours (OTs) in premenopausal patients, the pre-operative differentiation of benign ovarian tumours (Be-OTs) based on magnetic resonance imaging (MRI) interpretation is important. This paper describes the authors’ 8-year experience of approximately 1000 OT cases, and provides information about a diagnostic algorithm to help other hospitals.

Study design

The medical records of 901 patients aged < 50 years with OTs from 1 January 2015–31 March 31 2023 were reviewed. First, the accuracy of pre-operative differentiation between Be-OTs and borderline/malignant ovarian tumours (Bo/Ma-OTs) was compared in each type of OT. Second, to identify the factors influencing differentiation between Be-OTs and Bo/Ma-OTs in 164 serous/mucinous ovarian tumours (SM-OTs), a multi-variate logistic regression analysis was performed to assess the effect of 13 factors, including MRI findings, OT size and tumour markers.

Results

In the comparison of diagnostic accuracy of pre-operative MRI for each OT type, accuracy was found to be notably high for ovarian endometrial cyst (OEC) (n = 409), ovarian mature cystic teratoma (OMCT) (n = 308), ovarian endometrioid adenocarcinoma (OEA) (n = 6) and ovarian clear cell adenocarcinoma (OCCA) (n = 14). On the other hand, discrepancies between MRI and pathological findings often occurred in SM-OTs, including ovarian serous cystadenoma (n = 86), ovarian mucinous adenocarcinoma (n = 61), ovarian serous adenocarcinoma (n = 12) and ovarian mucinous adenocarcinoma (n = 5). In the multi-variate logistic regression analysis of the latter 164 patients, in addition to MRI findings, OT size and carbohydrate antigen 125 also had an effect to some extent. The combination of MRI interpretation and OT size may enhance differentiation of Be-OTs and Bo/Ma-OTs.

Conclusions

Among four types of OTs (OEC, OMCT, OEA and OCCA), MRI interpretation was able to differentiate between Be-OTs and Bo/Ma-OTs almost perfectly. Additionally, to mitigate the difficulty in differentiating SM-OTs, OT size may be useful in combination with MRI findings, although further accumulation and analysis of OT cases is needed.

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一种基于区域核心医院磁共振成像解释的良性卵巢肿瘤术前鉴别算法:回顾性研究
目的在选择微创手术(即腹腔镜卵巢囊肿切除术)治疗绝经前患者卵巢肿瘤(OTs)时,术前基于磁共振成像(MRI)解释的良性卵巢肿瘤(Be-OTs)鉴别具有重要意义。本文描述了作者8年来约1000例OT病例的经验,并提供了有关诊断算法的信息,以帮助其他医院。研究设计:901例老年患者的病历资料;回顾了2015年1月1日至2023年3月31日期间50年的OTs。首先,比较不同类型卵巢肿瘤(be -OT)和交界性/恶性卵巢肿瘤(Bo/ ma -OT)术前鉴别的准确性。其次,为了确定164例浆液性/黏液性卵巢肿瘤(SM-OTs)中Be-OTs与Bo/Ma-OTs分化的影响因素,我们进行了多因素logistic回归分析,以评估13个因素的影响,包括MRI表现、OT大小和肿瘤标志物。结果术前MRI对各类型OT的诊断准确率比较,发现卵巢子宫内膜囊肿(OEC) 409例、卵巢成熟囊性畸胎瘤(OMCT) 308例、卵巢子宫内膜样腺癌(OEA) 6例、卵巢透明细胞腺癌(OCCA) 14例的诊断准确率较高。另一方面,SM-OTs经常出现MRI与病理表现不一致的情况,包括卵巢浆液性囊腺瘤(n = 86)、卵巢粘液性腺癌(n = 61)、卵巢浆液性腺癌(n = 12)和卵巢粘液性腺癌(n = 5)。后164例患者的多因素logistic回归分析发现,除了MRI表现外,OT大小和碳水化合物抗原125也有一定影响。MRI解释和OT大小的结合可以增强be -OT和Bo/ ma -OT的鉴别。结论在OEC、OMCT、OEA和OCCA四种类型的OTs中,MRI解释几乎可以很好地区分Be-OTs和Bo/Ma-OTs。此外,为了减轻鉴别sm -OT的困难,尽管需要进一步积累和分析OT病例,但OT的大小可能与MRI结果相结合有用。
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CiteScore
2.20
自引率
0.00%
发文量
31
审稿时长
58 days
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