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Nomogram to predict the probability of relapse in patients diagnosed with borderline ovarian tumors

机译：线型摄影术可预测诊断为边缘性卵巢肿瘤的患者复发的可能性

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Obermair Andreas; Tang Amy; Chennakes Srinivas; Ngan Hextan; Zusterzeel Petra; Quinn Michael; Carter Jonathan; Leung Yee; Janda Monika;
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年度 2013
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1. Nomogram to predict the probability of relapse in patients diagnosed with borderline ovarian tumors. [J] . Andreas Obermair, Amy Tang, Srinivas Kondalsamy-Chennakesavan, International journal of gynecological cancer: official journal of the International Gynecological Cancer Society . 2013,第2期

机译：用线照相术可以预测诊断为边缘性卵巢肿瘤的患者复发的可能性。
2. External multicentre validation of a nomogram predicting the risk of relapse in patients with borderline ovarian tumours [J] . S Bendifallah, C Uzan, R Fauvet, British Journal of Cancer . 2013,第11期

机译：外部多中心验证诺模图预测卵巢交界性肿瘤患者复发的风险
3. Nomogram to predict recurrence in patients with early- and advanced-stage mucinous and serous borderline ovarian tumors [J] . Bendifallah Sofiane, Ballester Marcos, Uzan Catherine, American Journal of Obstetrics and Gynecology . 2014,第6期

机译：用诺法图预测患有早期和晚期粘液性和浆液性交界性卵巢肿瘤的患者的复发
4. To Analysis the Relapse of Endometriosis's Patient Treated with Ultrasound Guided Aspiration of Ovarian Endometrioma and Ethanol Sclerotherapy by Using Decision Tree [C] . Yi-Hsin Wang, Ding-An Chiang, Shuo-Peng Huang, The 12th world multi-conference on systemics, cybernetics and informatics : Proceedings . 2008

机译：决策树分析超声引导下子宫内膜异位症联合乙醇硬化疗法治疗子宫内膜异位症的复发情况
5. Reprogramming of Tumor and Extracellular Vesicular MicroRNA in Relapsed Ovarian Cancer [D] . Gandham, Srujan Kumar. 2021

机译：复发卵巢癌中肿瘤和细胞外尿布的重新编程
6. Comment on ‘External multicentre validation of a nomogram predicting the risk of relapse in patients with borderline ovarian tumours [O] . A Obermair 2014

机译：评论外部多中心验证诺模图预测卵巢边缘性肿瘤患者复发的风险
7. Erratum to: Incomplete staging surgery as a major predictor of relapse of borderline ovarian tumor [O] . Margarita Romeo, Francesc Pons, Pilar Barretina, 2016

机译：勘误：分期手术不完全是卵巢交界性肿瘤复发的主要预测指标

Nomogram to predict the probability of relapse in patients diagnosed with borderline ovarian tumors

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