Literature DB >> 29127247

Novel Method to Detect and Characterize 18F-FDG Infiltration at the Injection Site: A Single-Institution Experience.

Razi Muzaffar1, Sarah A Frye2, Anna McMunn3, Kelley Ryan4, Ron Lattanze4, Medhat M Osman5.   

Abstract

A novel quality control and quality assurance device provides time-activity curves that can identify and characterize PET/CT radiotracer infiltration at the injection site during the uptake phase. The purpose of this study was to compare rates of infiltration detected by the device with rates detected by physicians. We also assessed the value of using the device to improve injection results in our center.
Methods: 109 subjects consented to the study. All had passive device sensors applied to their skin near the injection site and mirrored on the contralateral arm during the entire uptake period. Nuclear medicine physicians reviewed standard images for the presence of dose infiltration. Sensor-generated time-activity curves were independently examined and then compared with the physician reports. Injection data captured by the software were analyzed, and the results were provided to the technologists. Improvement measures were implemented, and rates were remeasured.
Results: Physician review of the initial 40 head-to-toe field-of-view images identified 15 cases (38%) of dose infiltration (9 minor, 5 moderate, and 1 significant). Sensor time-activity curves on these 40 cases independently identified 22 cases (55%) of dose infiltration (16 minor, 5 moderate, and 1 significant). After the time-activity curve results and the contributing factor analysis were shared with technologists, injection techniques were modified and an additional 69 cases were studied. Of these, physician review identified 17 cases (25%) of infiltration (13 minor, 3 moderate, and 1 significant), a 34% decline. Sensor time-activity curves identified 4 cases (6%) of infiltration (2 minor and 2 moderate), an 89% decline.
Conclusion: The device provides valuable quality control information for each subject. Time-activity curves can further characterize visible infiltration. Even when the injection site was out of the field of view, the time-activity curves could still detect and characterize infiltration. Our initial experience showed that the quality assurance information obtained from the device helped reduce the rate and severity of infiltration. The device revealed site-specific contributing factors that helped nuclear medicine physicians and technologists customize their quality improvement efforts to these site-specific issues. Reducing infiltration can improve image quality and SUV quantification, as well as the ability to minimize variability in a site's PET/CT results.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  18F-FDG; PET/CT; infiltration; quality assurance; quality control

Mesh:

Substances:

Year:  2017        PMID: 29127247     DOI: 10.2967/jnmt.117.198408

Source DB:  PubMed          Journal:  J Nucl Med Technol        ISSN: 0091-4916


  4 in total

1.  Quality Improvement Initiatives to Assess and Improve PET/CT Injection Infiltration Rates at Multiple Centers.

Authors:  Terence Z Wong; Thad Benefield; Shane Masters; Jackson W Kiser; James Crowley; Dustin Osborne; Osama Mawlawi; James Barnwell; Pawan Gupta; Akiva Mintz; Kelley A Ryan; Steven R Perrin; Ronald K Lattanze; David W Townsend
Journal:  J Nucl Med Technol       Date:  2019-06-10

2.  Technical Note: Characterization of technology to detect residual injection site radioactivity.

Authors:  Josh Knowland; Samantha Lipman; Ron Lattanze; Jesse Kingg; Kelley Ryan; Steven Perrin
Journal:  Med Phys       Date:  2019-04-29       Impact factor: 4.071

3.  Practical Tools for Patient-specific Characterization and Dosimetry of Radiopharmaceutical Extravasation.

Authors:  Sean Wilson; Dustin Osborne; Misty Long; Josh Knowland; Darrell R Fisher
Journal:  Health Phys       Date:  2022-07-15       Impact factor: 2.922

4.  Usefulness of Topically Applied Sensors to Assess the Quality of 18F-FDG Injections and Validation Against Dynamic Positron Emission Tomography (PET) Images.

Authors:  Ronald K Lattanze; Medhat M Osman; Kelley A Ryan; Sarah Frye; David W Townsend
Journal:  Front Med (Lausanne)       Date:  2018-11-01
  4 in total

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