High prevalence of pulmonary embolism prior to cancer therapies in patients with ovarian and endometrial cancers detected by contrast‐enhanced CT using D‐dimer as an index

High prevalence of pulmonary embolism prior to cancer therapies in patients with ovarian and endometrial cancers detected by contrast‐enhanced CT using D‐dimer as an index
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以 D-二聚体为指标的增强 CT 检测发现卵巢癌和子宫内膜癌患者在癌症治疗前肺栓塞发生率较高

DOI:
10.1002/jso.26471
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发表时间:
2021
影响因子:
2.5
通讯作者:
Shozu Makio
Shozu Makio
中科院分区:
医学3区
文献类型:
--
作者:
Habu Yuji;Mitsuhashi Akira;Hanawa Shinsuke;Usui Hirokazu;Horikoshi Takuro;Uno Takashi;Shozu Makio

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目的应用D-二聚体(DD)增强计算机断层扫描(CT)评价卵巢及子宫内膜癌患者术前肺栓塞(PE)的发生率,确定DD的最佳界值。方法自2009年以来,对卵巢及子宫内膜癌患者进行术前静脉血栓栓塞症(VTE)筛查。结果在413例卵巢癌患者中,84例(20.3%)合并深静脉血栓形成(VTES),其中单纯DVT 31例(7.5%),合并或不合并DVT的PE(n= )53例(12.8%),单纯PE( )12例(2.9%)。在子宫内膜癌患者中,50例(11.0%)合并VTE,其中单纯DVT 19例(4.2%),合并或不合并DVT的PE( )31例(6.8%),单纯PE( )14例(3.1%)。卵巢癌和子宫内膜癌DD的最佳界值分别为≥1.5和≥1.2 μg/ml。结论卵巢癌和子宫内膜癌患者化疗前PE发生率较高。
ObjectiveWe aimed to evaluate the prevalence of pulmonary embolism (PE) before cancer therapies in patients with ovarian and endometrial cancers with enhanced computed tomography (CT) using D‐dimer (DD), and determine the optimal cut‐off level of DD.MethodsSince 2009, we have performed preoperative venous thromboembolism (VTE) screening of patients with ovarian and endometrial cancer. For patients with DD levels of more than 1.0 μg/ml, enhanced CT images were obtained from the pulmonary apex to the foot to detect PE and deep venous thrombosis (DVT) simultaneously.ResultsAmong patients with ovarian cancer, 84 of 413 (20.3%) had VTEs (DVT alone,n= 31 [7.5%]; PE with or without DVT,n= 53 [12.8%]; PE alone,n= 12 [2.9%]). Among patients with endometrial cancer, 50 of 455 (11.0%) had VTEs (DVT alone,n= 19 [4.2%]; PE with or without DVT,n= 31 [6.8%], PE alone,n= 14 [3.1%]). The optimal cut‐off level of DD was estimated to be ≥1.5 and ≥1.2 μg/ml in ovarian and endometrial cancers, respectively.ConclusionOur study revealed a high prevalence of PE before cancer therapies in patients with ovarian and endometrial cancers by enhanced CT using DD.
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