2020 Clinical nuclear medicine

Zero Echo Time-Based PET/MRI Attenuation Correction in Patients With Oral Cavity Cancer: Initial Experience.

, , , , , , ,

Clinical nuclear medicine Vol. 45 (7) : 501-505 • Jul 2020

PURPOSE: The aims of this study were to demonstrate the feasibility of zero echo time (ZTE) MRI for jawbone identification, and to evaluate the quantitative performance of F-FDG PET/MRI with ZTE-based attenuation correction (ZTE-AC) compared with PET/CT and PET/MRI with Dixon MR-based AC (Dixon-AC) in patients with oral cavity cancer (OCC). MATERIALS AND METHODS: Thirteen OCC patients underwent whole-body F-FDG PET/CT and subsequent regional PET/MRI with Dixon-AC and ZTE-AC in 1 day. SUVs of the primary OCC and metastatic cervical lymph nodes (CLNs) were measured on PET/CT (SUVCT), PET/MRI with Dixon-AC (SUVDixon), and ZTE-AC (SUVZTE). The SUVs were then compared. RESULTS: The ZTE MRI scans minimized the effects of metal artifacts from dentures, and ZTE-AC maps correctly delineated the jawbones. SUVDixon and SUVZTE had significant positive correlations with SUVCT (Pearson r = 0.97 and r = 0.99 for OCC, and r = 0.98 and r = 0.98 for CLNs, respectively). The mean +/- SD of SUVCT, SUVDixon, and SUVZTE were 14.4 +/- 8.0, 14.5 +/- 8.6, and 15.6 +/- 8.8 for OCC, and 6.3 +/- 3.0, 8.0 +/- 4.0, and 7.6 +/- 3.9 for CLNs, respectively. For OCCs, SUVZTE was significantly higher than SUVCT (P < 0.05), whereas there was no significant difference between SUVCT and SUVDixon or between SUVDixon and SUVZTE. For CLNs, SUVDixon and SUVZTE were significantly higher than SUVCT (P < 0.01 and P < 0.05, respectively), and SUVDixon was significantly higher than SUVZTE (P < 0.01). CONCLUSIONS: ZTE MRI can correctly identify jawbones while minimizing the effects of metal artifacts. The ZTE-AC method in F-FDG PET/MRI reduces the underestimation of tracer uptake due to Dixon-AC jawbone errors and improves the quantitative performance of PET for OCC patients.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.