| Title |
Towards real-time topical detection and characterization of FDG dose infiltration prior to PET imaging
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, August 2016
|
| DOI | 10.1007/s00259-016-3477-3 |
| Pubmed ID | |
| Authors |
Jason M. Williams, Lori R. Arlinghaus, Sudheer D. Rani, Martha D. Shone, Vandana G. Abramson, Praveen Pendyala, A. Bapsi Chakravarthy, William J. Gorge, Joshua G. Knowland, Ronald K. Lattanze, Steven R. Perrin, Charles W. Scarantino, David W. Townsend, Richard G. Abramson, Thomas E. Yankeelov |
| Abstract |
To dynamically detect and characterize (18)F-fluorodeoxyglucose (FDG) dose infiltrations and evaluate their effects on positron emission tomography (PET) standardized uptake values (SUV) at the injection site and in control tissue. Investigational gamma scintillation sensors were topically applied to patients with locally advanced breast cancer scheduled to undergo limited whole-body FDG-PET as part of an ongoing clinical study. Relative to the affected breast, sensors were placed on the contralateral injection arm and ipsilateral control arm during the resting uptake phase prior to each patient's PET scan. Time-activity curves (TACs) from the sensors were integrated at varying intervals (0-10, 0-20, 0-30, 0-40, and 30-40 min) post-FDG and the resulting areas under the curve (AUCs) were compared to SUVs obtained from PET. In cases of infiltration, observed in three sensor recordings (30 %), the injection arm TAC shape varied depending on the extent and severity of infiltration. In two of these cases, TAC characteristics suggested the infiltration was partially resolving prior to image acquisition, although it was still apparent on subsequent PET. Areas under the TAC 0-10 and 0-20 min post-FDG were significantly different in infiltrated versus non-infiltrated cases (Mann-Whitney, p < 0.05). When normalized to control, all TAC integration intervals from the injection arm were significantly correlated with SUVpeak and SUVmax measured over the infiltration site (Spearman ρ ≥ 0.77, p < 0.05). Receiver operating characteristic (ROC) analyses, testing the ability of the first 10 min of post-FDG sensor data to predict infiltration visibility on the ensuing PET, yielded an area under the ROC curve of 0.92. Topical sensors applied near the injection site provide dynamic information from the time of FDG administration through the uptake period and may be useful in detecting infiltrations regardless of PET image field of view. This dynamic information may also complement the static PET image to better characterize the true extent of infiltrations. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 20% |
| Student > Ph. D. Student | 4 | 16% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Other | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 20% |
| Engineering | 2 | 8% |
| Materials Science | 2 | 8% |
| Psychology | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 6 | 24% |
| Unknown | 7 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2016.
All research outputs
#18,541,858
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,210
of 3,083 outputs
Outputs of similar age
#250,311
of 343,241 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#26
of 44 outputs
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