| Title |
A PET/MRI study towards finding the optimal [18F]Fluciclovine PET protocol for detection and characterisation of primary prostate cancer
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, November 2016
|
| DOI | 10.1007/s00259-016-3562-7 |
| Pubmed ID | |
| Authors |
Mattijs Elschot, Kirsten M. Selnæs, Elise Sandsmark, Brage Krüger-Stokke, Øystein Størkersen, May-Britt Tessem, Siver A. Moestue, Helena Bertilsson, Tone F. Bathen |
| Abstract |
[(18)F]Fluciclovine PET imaging shows promise for the assessment of prostate cancer. The purpose of this PET/MRI study is to optimise the PET imaging protocol for detection and characterisation of primary prostate cancer, by quantitative evaluation of the dynamic uptake of [(18)F]Fluciclovine in cancerous and benign tissue. Patients diagnosed with high-risk primary prostate cancer underwent an integrated [(18)F]Fluciclovine PET/MRI exam before robot-assisted radical prostatectomy with extended pelvic lymph node dissection. Volumes-of-interest (VOIs) of selected organs (prostate, bladder, blood pool) and sub-glandular prostate structures (tumour, benign prostatic hyperplasia (BPH), inflammation, healthy tissue) were delineated on T2-weighted MR images, using whole-mount histology samples as a reference. Three candidate windows for optimal PET imaging were identified based on the dynamic curves of the mean and maximum standardised uptake value (SUVmean and SUVmax, respectively). The statistical significance of differences in SUV between VOIs were analysed using Wilcoxon rank sum tests (p<0.05, adjusted for multiple testing). Twenty-eight (28) patients [median (range) age: 66 (55-72) years] were included. An early (W1: 5-10 minutes post-injection) and two late candidate windows (W2: 18-23; W3: 33-38 minutes post-injection) were selected. Late compared with early imaging was better able to distinguish between malignant and benign tissue [W3, SUVmean: tumour vs. BPH 2.5 vs. 2.0 (p<0.001), tumour vs. inflammation 2.5 vs. 1.7 (p<0.001), tumour vs. healthy tissue 2.5 vs. 2.0 (p<0.001); W1, SUVmean: tumour vs. BPH 3.1 vs. 3.1 (p=0.771), tumour vs inflammation 3.1 vs. 2.2 (p=0.021), tumour vs. healthy tissue 3.1 vs. 2.5 (p<0.001)] as well as between high-grade and low/intermediate-grade tumours (W3, SUVmean: 2.6 vs. 2.1 (p=0.040); W1, SUVmean: 3.1 vs. 2.8 (p=0.173)). These differences were relevant to the peripheral zone, but not the central gland. Late-window [(18)F]Fluciclovine PET imaging shows promise for distinguishing between prostate tumours and benign tissue and for assessment of tumour aggressiveness. |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 16% |
| Other | 9 | 12% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Student > Ph. D. Student | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 36% |
| Nursing and Health Professions | 4 | 5% |
| Physics and Astronomy | 3 | 4% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 10 | 13% |
| Unknown | 28 | 37% |
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 15 March 2017.
All research outputs
#21,153,429
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,610
of 3,083 outputs
Outputs of similar age
#271,930
of 313,890 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#32
of 34 outputs
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