Title |
Patient preparation for cardiac fluorine-18 fluorodeoxyglucose positron emission tomography imaging of inflammation
|
---|---|
Published in |
Journal of Nuclear Cardiology, June 2016
|
DOI | 10.1007/s12350-016-0502-7 |
Pubmed ID | |
Authors |
Michael T Osborne, Edward A Hulten, Venkatesh L Murthy, Hicham Skali, Viviany R Taqueti, Sharmila Dorbala, Marcelo F DiCarli, Ron Blankstein |
Abstract |
Although the number of clinical applications for fluorine-18 fluorodeoxyglucose ((18)F-FDG) cardiac positron emission tomography (PET) has continued to grow, there remains a lack of consensus regarding the ideal method of suppressing normal myocardial glucose utilization for image optimization. This review describes various patient preparation protocols that have been used as well as the success rates achieved in different studies. Collectively, the available literature supports using a high-fat, no-carbohydrate diet for at least two meals with a fast of 4-12 hours prior to (18)F-FDG PET imaging and suggests that isolated fasting for less than 12 hours and supplementation with food or drink just prior to imaging should be avoided. Each institution should adopt a protocol and continuously monitor its effectiveness with a goal to achieve adequate myocardial suppression in greater than 80% of patients. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 88% |
Netherlands | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 38% |
Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 17% |
Student > Postgraduate | 11 | 12% |
Other | 9 | 10% |
Student > Doctoral Student | 8 | 9% |
Student > Bachelor | 7 | 8% |
Other | 21 | 24% |
Unknown | 18 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 45 | 51% |
Engineering | 4 | 4% |
Arts and Humanities | 2 | 2% |
Psychology | 2 | 2% |
Chemistry | 2 | 2% |
Other | 7 | 8% |
Unknown | 27 | 30% |