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早期宫颈癌锥切标本宫旁浸润的影响因素分析 被引量:2

Influencing Factors of Parametrial Involvement in the Conization Specimens of Early-Stage Cervical Cancer
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摘要 目的:探讨早期宫颈癌锥切标本宫旁浸润(PI)的影响因素。方法:回顾性分析大连市妇幼保健院2008年1月—2018年2月经宫颈锥切确诊为宫颈癌后行根治性子宫切除术(RH)+腹膜后淋巴结切除术的200例Ⅰa2~Ⅰb1期宫颈癌患者,分析早期宫颈癌PI的影响因素。结果:200例患者中有15例(7.5%)PI阳性,185例(92.5%)PI阴性。单因素分析显示,PI与年龄、病理类型、国际妇产科联盟(FIGO)分期、病理组织学分级、肿瘤大小和切缘状态无关(均P>0.05),与淋巴脉管间隙浸润(LVSI)和淋巴结转移有关(均P<0.05)。多因素分析显示,LVSI阳性(OR=5.456,95%CI:1.669~17.833,P=0.005)和淋巴结转移阳性(OR=6.725,95%CI:1.833~24.669,P=0.004)是PI的独立危险因素。结论:早期宫颈锥切标本中LVSI、淋巴结转移与PI有关,可作为PI的预测因子。 Objective:To explore the influencing factors of parametrial involvement (PI) in the conization specimens of early-stage cervical cancer. Methods: A retrospective analysis of 200 patients with cervical carcinoma stage Ia2-Ib1 who were diagnosed as cervical cancer through cervical conization, and who had the operation of radical hysterectomy (RH) and pelvic lymphoadenectomy during their visit to Dalian Women and Children′s Hospital between January 2008 and February 2018. To analysis the influencing factors of PI in early-stage cervical cancer. Results: Of the 200 patients, 15 (7.5%) had PI positive, 185 (92.5%) were PI negtive. Univariate analysis showed that age, pathological type, International Federation of Gynecology and Obstetrics (FIGO) stage, histopathological grade, tumor size and margin status were uncorrelated with PI (both P>0.05), but which was correlated with lymph-vascular space invasion (LVSI) and positive lymph nodes(both P<0.05). Multivariate analysis showed that LVSI positive (OR=5.456, 95%CI: 1.669-17.833, P=0.005) and lymph nodes positive (OR=6.725, 95%CI: 1.833-24.669, P=0.004) were independent risk factors of PI. Conclusions: LVSI in the cervical conization specimens and lymph nodes positive and PI are correlated. Those factors can be used as predictors of PI.
作者 李芝伟 姜继勇 LI Zhi-wei;JIANG Ji-yong.(Dalian Women and Children′s Hospital,Dalian 116033,China)
出处 《国际妇产科学杂志》 CAS 2019年第1期109-111,共3页 Journal of International Obstetrics and Gynecology
关键词 宫颈肿瘤 淋巴转移 肿瘤侵润 因素分析 统计学 Uterine cervical neoplasms Lymphatic metastasis Neoplasm invasiveness Factor analysis, statistical
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