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Cited by 197

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Risks to the Fetus of Radiologic Procedures Used in the Diagnosis of Maternal Venous Thromboembolic Disease

Ginsberg, Jeffrey S, Hirsh, Jack, Rainbow, Andrew J, Coates, Geoffrey·1989·Thrombosis and Haemostasis

Abstract

Summary: The diagnosis of suspected venous thromboembolic disease during pregnancy is problematic because of the fear of fetal irradiation with routine diagnostic procedures. In order to develop rational guidelines, we have calculated levels of radiation exposure to the fetus for the common diagnostic procedures and conducted a literature review to examine the fetal risks associated with these levels of radiation. A small increase in the relative risk of childhood cancer is suggested by a literature review of outcomes following low dose (less than 5 rads), in utero radiation exposure. With careful use of the available procedures, a diagnosis of venous thrombosis is possible with fetal radiation exposure of less than 0.50 rads and a diagnosis of pulmonary embolism is possible with fetal radiation exposure of less than 0.05 rads. The risk of such exposure is small, both in relative and absolute terms.

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Metadata

Authors
Ginsberg, J. S., Hirsh, J., Rainbow, A. J., & Coates, G.
Venue
Thrombosis and Haemostasis
Published
1989
Volume
61
Issue
02
Pages
189-196
ISSN
  • 0340-6245 (ISSN-L)
  • 2567-689X
OpenAlex
W26920250
Cited by
197
References
0
FWCI
2.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Risks to the Fetus of Radiologic Procedures Used in the Diagnosis of Maternal Venous Thromboembolic Disease. https://app.cochat.ai/papers/10.1055/s-0038-1646557
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Ginsberg, J. S., Hirsh, J., Rainbow, A. J., & Coates, G. (1989). Risks to the Fetus of Radiologic Procedures Used in the Diagnosis of Maternal Venous Thromboembolic Disease. Thrombosis and Haemostasis. https://doi.org/10.1055/s-0038-1646557

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.