https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Prognostic role of metabolic parameters of ¹⁸F-FDG PET-CT scan performed during radiation therapy in locally advanced head and neck squamous cell carcinoma https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28291 max), metabolic tumour volume (MTV) and total lesional glycolysis (TLG) of primary tumour (PT) and index node (IN) [defined as lymph node(s) with highest TLG] were analysed, and results were correlated with loco-regional recurrence-free survival (LRFS), disease-free survival (DFS), metastatic failure-free survival(MFFS) and overall survival (OS), using Kaplan-Meier analysis. Results: Optimal cutoffs (OC) were derived from receiver operating characteristic curves: SUVmax-PT=4.25 g/mL, MTVPT=3.3 cm³, TLGPT=9.4 g, for PT, and SUVmax-IN=4.05 g/mL, MTVIN=1.85 cm³ and TLGIN=7.95 g for IN. Low metabolic values in iPET for PT below OC were associated with statistically significant better LRFS and DFS. TLG was the best predictor of outcome with 2-year LRFS of 92.7 % vs. 71.1% [p=0.005, compared with SUVmax (p=0.03) and MTV (p=0.022)], DFS of 85.9% vs. 60.8% [p=0.005, compared with SUVmax (p=0.025) and MTV (p=0.018)], MFFS of 85.9% vs. 83.7% [p=0.488, compared with SUVmax (p=0.52) and MTV (p=0.436)], and OS of 81.1% vs. 75.0% [p=0.279, compared with SUVmax (p=0.345) and MTV (p=0.512)]. There were no significant associations between the percentage reduction of primary tumour metabolic parameters and outcomes. In patients with nodal disease, metabolic parameters below OC (for both PT and IN) were significantly associated with all oncological outcomes, while TLG was again the best predictor: LRFS of 84.0% vs. 55.3% (p=0.017), DFS of 79.4% vs. 38.6% (p=0.001), MFFS 86.4% vs. 68.2% (p=0.034) and OS 80.4% vs. 55.7% (p=0.045). Conclusion: The metabolic parameters of iPET can be useful predictors of patient outcome and potentially have a role in adaptive therapy for MPHNSCC. Among the three parameters, TLG was found to be the best prognostic indicator of oncological outcomes.]]> Wed 11 Apr 2018 10:09:13 AEST ]]> 18F-FDG PET-CT performed before and during radiation therapy of head and neck squamous cell carcinoma: are they independent or complementary to each other? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29991 18F-FDG PET-CT performed before definitive radiation therapy (RT) (prePET) in patients with mucosal primary head and neck squamous cell carcinoma (MPHNSCC) and to assess the additive prognostic values of FDG PET-CT performed during RT (iPET). Methods: One hundred patients with MPHNSCC treated with radical RT underwent staging prePET and iPET performed during the third week of treatment. The maximum standardized uptake value (SUVmax), metabolic tumour volume (MTV) and total lesional glycolysis (TLG) of primary tumour were analysed for both prePET and iPET, and results were correlated with loco-regional recurrence-free survival (LRFS), disease-free survival (DFS), metastatic failure-free survival (MFFS) and overall survival (OS), using Kaplan–Meier analysis. Optimal cut-offs (OC) for prePET and iPET were derived from Receiver Operating Characteristic curves. Patients with metabolic parameters above/below the individual OC of prePET as well as iPET (i.e. combined prePET and iPET (comPET)) were evaluated against their outcomes. Results: Median age was 61 years (range 39–81), median follow-up of 20 months (range 4–70, mean 27), and AJCC 7th Edition clinical stage II, III and IV were 8, 24 and 68 patients respectively. Metabolic values below individual OC in comPET were found to be associated with statistically significant improvements (P < 0.05) in DFS, LRFS and OS. In addition, patients with SUVmax above the OC in comPET were associated with worse MFFS (P = 0.011) and confirmed on both univariate (P = 0.019) and multivariate analyses (P = 0.04). Conclusion: Addition of iPET significantly improves the prognostic values of all three metabolic parameters and can potentially be used in future adaptive local and systemic therapy trials.]]> Thu 28 Oct 2021 12:36:43 AEDT ]]> Utilising pseudo-CT data for dose calculation and plan optimization in adaptive radiotherapy https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26385 Sat 24 Mar 2018 07:33:04 AEDT ]]> Prognostic value of 2-[¹⁸F] fluoro-2-deoxy-D-glucose positron emission tomography-computed tomography scan carried out during and after radiation therapy for head and neck cancer using visual therapy response interpretation criteria https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24418 18F] fluoro-2-deoxy-d-glucose positron emission tomography-computed tomography (FDG PET-CT) carried out in the third week (iPET) and after completion (pPET) of definitive radiation therapy in patients with mucosal primary head and neck squamous cell carcinoma (MPHNSCC) and to investigate the optimal visual grading criteria for therapy response assessment. Materials and methods: Sixty-nine consecutive patients with newly diagnosed MPHNSCC treated with radical radiation therapy with or without systemic therapy underwent staging. PET-CT, iPET and pPET were included. All PET-CT images were reviewed by using a visual grading system to assess metabolic response for primary tumour: 0 = similar to adjacent background blood pool activity; 1 = more than background but < mediastinal blood pool; 2 ≥ mediastinal blood pool and < liver; 3 ≥ liver; and 4 ≥ brain. The results were correlated with locoregional recurrence-free survival (LRFS), disease-free survival (DFS) and overall survival, using Kaplan-Meier analysis. Results: The median follow-up was 28 months (range 6-62), the median age was 61 years (range 39-81) and AJCC 7th edition clinical stage II, III and IV were six, 18 and 45 patients, respectively. The optimal threshold for non-complete metabolic response (non-CMR) was defined as focal uptake ≥ liver (grade 3) for iPET and focal uptake ≥ mediastinum (grade 2) for pPET. The 2 year Kaplan-Meier LRFS, DFS and overall survival estimates for primary CMR and non-CMR in iPET were 89.8% versus 71.5% (P = 0.062), 80.1% versus 65.3% (P = 0.132), 79.1% versus 72.1% (P = 0.328) and in pPET 86.2% versus 44.6% (P = 0.0005), 77.6% versus 41.2% (P = 0.006), 81.2% versus 40.6% (P = 0.01), respectively. The negative predictive value (NPV) for LRFS for patients achieving both primary and nodal CMR in iPET was 100%. No locoregional failure was observed in patients with both primary and nodal iPET CMR (P = 0.038), whereas those with nodal iPET CMR had no regional failure (P = 0.033). However, the positive predictive values (PPV) for LRFS and DFS for iPET and pPET were found to be poor: 30% and 36% for iPET and 35% and 39% for pPET, respectively. Conclusion: Standardised criteria using visual assessment are feasible. The metabolic response using visual assessment with standardised interpretation criteria of iPET and pPET can be useful predictors of tumour control. Dose de-escalation can be considered on the basis of a high NPV for iPET. However, the PPV of iPET is poor, indicating that additional discriminative tools are needed.]]> Sat 24 Mar 2018 07:14:24 AEDT ]]>