部分葡萄胎
医学
妊娠滋养细胞疾病
臼齿妊娠
绒毛膜癌
胎盘部位滋养细胞肿瘤
人绒毛膜促性腺激素
滋养层肿瘤
怀孕
产科
放射科
阶段(地层学)
胎龄
疾病
妊娠期
妇科
胎盘
胎儿
病理
内科学
激素
古生物学
生物
遗传学
作者
Akram M. Shaaban,Maryam Rezvani,Reham R. Haroun,Anne Kennedy,Khaled M. Elsayes,Jeffrey Olpin,Mohamed E. Salama,Bryan R. Foster,Christine O. Menias
出处
期刊:Radiographics
[Radiological Society of North America]
日期:2017-03-01
卷期号:37 (2): 681-700
被引量:138
标识
DOI:10.1148/rg.2017160140
摘要
Gestational trophoblastic disease (GTD) is a spectrum of both benign and malignant gestational tumors, including hydatidiform mole (complete and partial), invasive mole, choriocarcinoma, placental site trophoblastic tumor, and epithelioid trophoblastic tumor. The latter four entities are referred to as gestational trophoblastic neoplasia (GTN). These conditions are aggressive with a propensity to widely metastasize. GTN can result in significant morbidity and mortality if left untreated. Early diagnosis of GTD is essential for prompt and successful management while preserving fertility. Initial diagnosis of GTD is based on a multifactorial approach consisting of clinical features, serial quantitative human chorionic gonadotropin (β-hCG) titers, and imaging findings. Ultrasonography (US) is the modality of choice for initial diagnosis of complete hydatidiform mole and can provide an invaluable means of local surveillance after treatment. The performance of US in diagnosing all molar pregnancies is surprisingly poor, predominantly due to the difficulty in differentiating partial hydatidiform mole from nonmolar abortion and retained products of conception. While GTN after a molar pregnancy is usually diagnosed with serial β-hCG titers, imaging plays an important role in evaluation of local extent of disease and systemic surveillance. Imaging also plays a crucial role in detection and management of complications, such as uterine and pulmonary arteriovenous fistulas. Familiarity with the pathogenesis, classification, imaging features, and treatment of these tumors can aid in radiologic diagnosis and guide appropriate management. ©RSNA, 2017
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