Evaluation of factors influencing lymph node metastasis in endometrial cancers: A retrospective study.

IF 0.9 4区 医学 Q4 ONCOLOGY
Indian journal of cancer Pub Date : 2024-01-01 Epub Date: 2024-01-04 DOI:10.4103/ijc.IJC_873_20
Deepak Bose, P Rema, S Suchetha, Dhanya Dinesh, J Sivaranjith, T R Preethi, Aleyamma Mathew
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引用次数: 0

Abstract

Objectives: The role of lymphadenectomy in the management of early endometrial cancer remains controversial. The aim of our study was to evaluate risk factors associated with nodal metastases in endometrial cancer and to devise a predictive risk model based on the significant risk factors in predicting node metastasis.

Materials and methods: A retrospective study was conducted on women diagnosed with uterus-confined endometrial cancer, and who underwent surgical staging with pelvic and/or paraaortic lymphadenectomy from our center during July 1, 2017 to June 30, 2019. Clinical details, Magnetic Resonance imaging (MRI)-detected myometrial invasion, and pre and post-operative histological details of tumor were correlated with pelvic and/or para-aortic lymph node metastasis. Risk factors were assessed using logistic regression model and risk models devised.

Results: 128 patients were included in the study. Paraaortic lymphadenectomy was done in 72.7% patients. Nodal metastasis was seen in 14.8% of patients. Logistic regression analyses revealed lymphovascular invasion ( P = 0.002), parametrial involvement ( P = 0.017) and nonendometrioid histology ( P = 0.004) to be significant risk factors. Tumor size >2 cm, grade 3 and deep myometrial invasion had higher risk for nodal metastasis, although non-significant. Risk models were derived with sensitivity of 79-89.5%, specificity of 58.7-69.7%, Negative predictive value (NPV) of 95-97% and accuracy of 63-71%.

Conclusion: Lymphovascular invasion, nonendometrioid histology and parametrial involvement are independent predictors of lymph node metastasis in endometrial cancer. Risk models using these risk factors can better predict the risk of nodal metastasis and thus avoid lymph node dissection in low risk patients. Our risk models had reasonably good sensitivity in nodal metastasis prediction and require further validation.

评估影响子宫内膜癌淋巴结转移的因素:回顾性研究
目的:淋巴结切除术在早期子宫内膜癌治疗中的作用仍存在争议。我们的研究旨在评估与子宫内膜癌结节转移相关的风险因素,并根据预测结节转移的重要风险因素设计一个预测风险模型:对2017年7月1日至2019年6月30日期间在本中心确诊为子宫局限性子宫内膜癌,并接受盆腔和/或主动脉旁淋巴结切除手术分期的女性进行回顾性研究。临床细节、磁共振成像(MRI)检测到的子宫肌层浸润以及肿瘤术前和术后组织学细节与盆腔和/或主动脉旁淋巴结转移相关。采用逻辑回归模型评估风险因素,并建立风险模型:研究共纳入 128 名患者。72.7%的患者进行了主动脉旁淋巴结切除术。14.8%的患者出现结节转移。逻辑回归分析显示,淋巴管侵犯(P = 0.002)、宫旁受累(P = 0.017)和非子宫内膜样组织学(P = 0.004)是重要的风险因素。肿瘤大小>2厘米、3级和子宫肌层深部浸润的结节转移风险较高,但并不显著。风险模型的灵敏度为 79-89.5%,特异性为 58.7-69.7%,阴性预测值(NPV)为 95-97%,准确率为 63-71%:结论:淋巴管侵犯、非子宫内膜样组织学和宫旁受累是子宫内膜癌淋巴结转移的独立预测因素。使用这些风险因素的风险模型可以更好地预测结节转移的风险,从而避免对低风险患者进行淋巴结清扫。我们的风险模型在预测结节转移方面具有相当高的灵敏度,但还需要进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Indian journal of cancer
Indian journal of cancer Medicine-Oncology
CiteScore
1.40
自引率
0.00%
发文量
67
审稿时长
>12 weeks
期刊介绍: Indian Journal of Cancer (ISSN 0019-509X), the show window of the progress of ontological sciences in India, was established in 1963. Indian Journal of Cancer is the first and only periodical serving the needs of all the specialties of oncology in India.
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