Ibrahim Yalcin, Salih Taskin, Ozguc Takmaz, Fuat Demirkiran, Mete Gungor, Nedim Tokgozoglu, Emine Karabuk, Tugan Bese, Duygu Altin, Hasan Turan, Ilker Kahramanoglu, Dogan Vatansever, Cetin Celik, Faruk Kose, Hamdullah Sozen, Samet Topuz, Macit Arvas, Firat Ortac, Cagatay Taskiran
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Clinical and pathologic data were reviewed, and logistic regression was applied to identify predictive factors for SLN involvement.</p><p><strong>Results: </strong>After the exclusion of 81 patients, the remaining cohort of 793 patients was analyzed. The involvement of SLNs occurred in 9.2% of these cases (n = 73). In univariate analysis, the risk of SLN involvement was seen to be significantly higher among patients aged >60 years and those with high-grade tumors, non-endometrioid histology, lymphovascular space invasion, deep myometrial invasion, tumor diameters of ≥2 cm, and cervical stromal invasion. Multivariate analysis identified the occurrence of deep myometrial invasion (OR 2.42, 95% CI 1.29 to 4.56; p = .006), cervical stromal invasion (OR 2.18, 95% CI 1.13 to 4.21; p = .020), and lymphovascular space invasion (OR 7.27, 95% CI 3.82 to 13.81; p < .001) as risk factors independently predictive of SLN involvement in the treatment of endometrial cancer.</p><p><strong>Conclusion: </strong>Deep myometrial invasion, cervical stromal invasion, and lymphovascular space invasion were found to be independently predictive of the involvement of SLNs in cases of endometrial cancer. For cases in which SLN dissection was not or could not be performed, the identified independent risk factors are crucial for guiding adjuvant therapy.</p>","PeriodicalId":14097,"journal":{"name":"International Journal of Gynecological Cancer","volume":"35 1","pages":"100041"},"PeriodicalIF":4.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors for the involvement of sentinel lymph nodes in endometrial cancer (TRSGO-SLN-010).\",\"authors\":\"Ibrahim Yalcin, Salih Taskin, Ozguc Takmaz, Fuat Demirkiran, Mete Gungor, Nedim Tokgozoglu, Emine Karabuk, Tugan Bese, Duygu Altin, Hasan Turan, Ilker Kahramanoglu, Dogan Vatansever, Cetin Celik, Faruk Kose, Hamdullah Sozen, Samet Topuz, Macit Arvas, Firat Ortac, Cagatay Taskiran\",\"doi\":\"10.1016/j.ijgc.2024.100041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This research was undertaken to identify risk factors for the involvement of sentinel lymph nodes (SLNs) in cases of endometrial cancer.</p><p><strong>Methods: </strong>From February 2016 to April 2021, the cases of 874 women with endometrial cancer treated with the SLN algorithm at 11 institutions were analyzed in this retrospective study. Clinical and pathologic data were reviewed, and logistic regression was applied to identify predictive factors for SLN involvement.</p><p><strong>Results: </strong>After the exclusion of 81 patients, the remaining cohort of 793 patients was analyzed. The involvement of SLNs occurred in 9.2% of these cases (n = 73). In univariate analysis, the risk of SLN involvement was seen to be significantly higher among patients aged >60 years and those with high-grade tumors, non-endometrioid histology, lymphovascular space invasion, deep myometrial invasion, tumor diameters of ≥2 cm, and cervical stromal invasion. 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引用次数: 0
摘要
目的:本研究旨在确定子宫内膜癌前哨淋巴结(sln)受累的危险因素。方法:回顾性分析2016年2月至2021年4月11所医院采用SLN算法治疗的874例子宫内膜癌患者。我们回顾了临床和病理资料,并应用逻辑回归来确定SLN受累的预测因素。结果:排除81例患者后,对剩余队列793例患者进行分析。这些病例中有9.2% (n = 73)累及sln。在单因素分析中,年龄在60岁至60岁之间的患者,以及患有高级别肿瘤、非子宫内膜样组织学、淋巴血管间隙浸润、深部肌层浸润、肿瘤直径≥2cm和宫颈间质浸润的患者,SLN受损伤的风险明显更高。多因素分析确定发生深部肌层浸润(OR 2.42, 95% CI 1.29 ~ 4.56;p = 0.006),宫颈间质浸润(OR 2.18, 95% CI 1.13 ~ 4.21;p = 0.020)和淋巴血管间隙侵犯(OR 7.27, 95% CI 3.82 ~ 13.81;p < 0.001)作为独立预测SLN参与子宫内膜癌治疗的危险因素。结论:子宫内膜深部肌层浸润、宫颈间质浸润和淋巴血管间隙浸润可独立预测子宫内膜癌中sln的浸润。对于不能或不能进行SLN解剖的病例,确定独立的危险因素对于指导辅助治疗至关重要。
Risk factors for the involvement of sentinel lymph nodes in endometrial cancer (TRSGO-SLN-010).
Objective: This research was undertaken to identify risk factors for the involvement of sentinel lymph nodes (SLNs) in cases of endometrial cancer.
Methods: From February 2016 to April 2021, the cases of 874 women with endometrial cancer treated with the SLN algorithm at 11 institutions were analyzed in this retrospective study. Clinical and pathologic data were reviewed, and logistic regression was applied to identify predictive factors for SLN involvement.
Results: After the exclusion of 81 patients, the remaining cohort of 793 patients was analyzed. The involvement of SLNs occurred in 9.2% of these cases (n = 73). In univariate analysis, the risk of SLN involvement was seen to be significantly higher among patients aged >60 years and those with high-grade tumors, non-endometrioid histology, lymphovascular space invasion, deep myometrial invasion, tumor diameters of ≥2 cm, and cervical stromal invasion. Multivariate analysis identified the occurrence of deep myometrial invasion (OR 2.42, 95% CI 1.29 to 4.56; p = .006), cervical stromal invasion (OR 2.18, 95% CI 1.13 to 4.21; p = .020), and lymphovascular space invasion (OR 7.27, 95% CI 3.82 to 13.81; p < .001) as risk factors independently predictive of SLN involvement in the treatment of endometrial cancer.
Conclusion: Deep myometrial invasion, cervical stromal invasion, and lymphovascular space invasion were found to be independently predictive of the involvement of SLNs in cases of endometrial cancer. For cases in which SLN dissection was not or could not be performed, the identified independent risk factors are crucial for guiding adjuvant therapy.
期刊介绍:
The International Journal of Gynecological Cancer, the official journal of the International Gynecologic Cancer Society and the European Society of Gynaecological Oncology, is the primary educational and informational publication for topics relevant to detection, prevention, diagnosis, and treatment of gynecologic malignancies. IJGC emphasizes a multidisciplinary approach, and includes original research, reviews, and video articles. The audience consists of gynecologists, medical oncologists, radiation oncologists, radiologists, pathologists, and research scientists with a special interest in gynecological oncology.