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Sökning: WFRF:(Dromain Clarisse)

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1.
  • Ambrosini, Valentina, et al. (författare)
  • Consensus on molecular imaging and theranostics in neuroendocrine neoplasms
  • 2021
  • Ingår i: European Journal of Cancer. - 0959-8049 .- 1879-0852. ; 146, s. 56-73
  • Forskningsöversikt (refereegranskat)abstract
    • Nuclear medicine plays an increasingly important role in the management neuroendocrine neoplasms (NEN). Somatostatin analogue (SSA)-based positron emission tomography/computed tomography (PET/CT) and peptide receptor radionuclide therapy (PRRT) have been used in clinical trials and approved by the European Medicines Agency (EMA) and the US Food and Drug Administration (FDA). European Association of Nuclear Medicine (EANM) Focus 3 performed a multidisciplinary Delphi process to deliver a balanced perspective on molecular imaging and radionuclide therapy in well-differentiated neuroendocrine tumours (NETs). NETs form in cells that interact with the nervous system or in glands that produce hormones. These cells, called neuroendocrine cells, can be found throughout the body, but NETs are most often found in the abdomen, especially in the gastrointestinal tract. These tumours may also be found in the lungs, pancreas and adrenal glands. In addition to being rare, NETs are also complex and may be difficult to diagnose. Most NETs are non-functioning; however, a minority present with symptoms related to hypersecretion of bioactive compounds. NETs often do not cause symptoms early in the disease process. When diagnosed, substantial number of patients are already found to have metastatic disease. Several societies' guidelines address Neuroendocrine neoplasms (NENs) management; however, many issues are still debated, due to both the difficulty in acquiring strong clinical evidence in a rare and heterogeneous disease and the different availability of diagnostic and therapeutic options across countries. EANM Focus 3 reached consensus on employing 68gallium-labelled somatostatin analogue ([68Ga]Ga-DOTA-SSA)-based PET/CT with diagnostic CT or magnetic resonance imaging (MRI) for unknown primary NET detection, metastatic NET, NET staging/restaging, suspected extra-adrenal pheochromocytoma/paraganglioma and suspected paraganglioma. Consensus was reached on employing 18fluorine-fluoro-2-deoxyglucose ([18F]FDG) PET/CT in neuroendocrine carcinoma, G3 NET and in G1-2 NET with mismatched lesions (CT-positive/[68Ga]Ga-DOTA-SSA-negative). Peptide receptor radionuclide therapy (PRRT) was recommended for second line treatment for gastrointestinal NET with [68Ga]Ga-DOTA-SSA uptake in all lesions, in G1/G2 NET at disease progression, and in a subset of G3 NET provided all lesions are positive at [18F]FDG and [68Ga]Ga-DOTA-SSA. PRRT rechallenge may be used for in patients with stable disease for at least 1 year after therapy completion. An international consensus is not only a prelude to a more standardised management across countries but also serves as a guide for the direction to follow when designing new research studies.
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2.
  • Dromain, Clarisse, et al. (författare)
  • Tumour Growth Rate to predict the outcome of patients with Neuroendocrine Tumours : Performance and sources of variability.
  • 2020
  • Ingår i: Neuroendocrinology. - 0028-3835 .- 1423-0194.
  • Tidskriftsartikel (refereegranskat)abstract
    • INTRODUCTION: Tumor growth rate (TGR), percentage of change in tumor volume/month, has been previously identified as an early radiological biomarker for treatment monitoring in neuroendocrine tumors (NETs) patients. We assessed the performance and reproducibility of TGR 3 months (TGR3m) as a predictor factor of progression-free survival (PFS), including the impact of imaging method and reader variability.METHODS: Baseline and 3-months (±1month) CT/MRI images from patients with advanced, grade 1-2 NETs were retrospectively reviewed by 2 readers. Influence of number of targets, tumor burden and location of lesion on the performance of TGR3m to predict PFS was assessed by uni/multivariable Cox regression analysis. Agreement between readers was assessed by the Lin's concordance coefficient (LCC) and Kappa (KC).RESULTS: A total of 790 lesions were measured in 222 patients. Median PFS was 22.9 months. On univariable analysis, number of lesions (DISCUSSION/CONCLUSION: TGR3m is a robust and early radiological biomarker able to predict PFS. It may be used to identify patients with advanced NETs who require closer radiological follow-up.
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3.
  • Lamarca, Angela, et al. (författare)
  • Tumour Growth Rate as a validated early radiological biomarker able to reflect treatment-induced changes in Neuroendocrine Tumours : the GREPONET-2 study
  • 2019
  • Ingår i: Clinical Cancer Research. - 1078-0432 .- 1557-3265. ; 15:25, s. 6692-6699
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: TGR represents the percentage change in tumour volume per month (%/m). Previous results from the GREPONET study showed that TGR measured after 3 months (TGR3m) of starting systemic treatment (ST) or watch and wait (WW) was an early biomarker predicting progression-free survival (PFS) in NETs.EXPERIMENTAL DESIGN: Pts from7 centres with advanced grade(G) 1/2 NETs from the pancreas(P)/small bowel(SB) initiating ST/WW were eligible. Computed tomography (CT) / magnetic resonance imaging (MRI) performed at pre-baseline, baseline and 3(+/-1) months of study entry were retrospectively reviewed. Aim-1: explore treatment-induced changes in TGR (ΔTGR3m-BL) (paired T-test) and Aim-2: validate TGR3m (<0.8%/m vs ≥0.8%/m) as an early biomarker in an independent cohort (Kaplan-Meier/Cox Regression).RESULTS: Out of 785 pts screened, 127 were eligible. Mean (SD) TGR0 and TGR3m were 5.4%/m (14.9) and -1.4%/m (11.8), respectively. Mean(SD) ΔTGR3m-BL paired-difference was -6.8%/m(19.3) (p<0.001). Most marked ΔTGR3m-BL (mean (SD);p) were identified with targeted therapies (-11.3%/m(4.7);0.0237) and chemotherapy (-7.9%/m(3.4);0.0261). Multivariable analysis confirmed the absence of previous treatment (Odds Ratio (OR) 4.65 (95%CI 1.31-16.52); p-value0.018) and low TGR3m (continuous variable; OR 1.09 (95%CI 1.01-1.19); p-value0.042) to be independent predictors of radiological objective response. When the multivariable Cox Regression was adjusted to grade (p-value 0.004) and stage (p-value0.017), TGR3m≥0.8 (vs.<0.8) maintained its significance (p<0.001), while TGR0 and ΔTGR3m-BL did not. TGR3m was confirmed as an independent prognosis factor for PFS (external validation; Aim-2) (multivariable HR 2.21 (95%CI 1.21-3.70); p-value0.003).CONCLUSIONS: TGR has a role as biomarker for monitoring response to therapy for early prediction of PFS and radiological objective response.
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4.
  • Lamarca, Angela, et al. (författare)
  • Value of Tumor Growth Rate (TGR) as an Early Biomarker Predictor of Patients' Outcome in Neuroendocrine Tumors (NET) : The GREPONET Study
  • 2019
  • Ingår i: The Oncologist. - 1083-7159 .- 1549-490X. ; 24:11, s. E1082-E1090
  • Tidskriftsartikel (refereegranskat)abstract
    • INTRODUCTION: Tumor growth rate (TGR; percent size change per month [%/m]) is postulated to be an early radiological biomarker to overcome limitations of RECIST. This study aimed to assess the impact of TGR in neuroendocrine tumors (NETs) and potential clinical and therapeutic applications.MATERIALS AND METHODS: Patients (pts) with advanced grade (G) 1/2 NETs from the pancreas or small bowel initiating systemic treatment (ST) or watch and wait (WW) were eligible. Baseline and follow-up scans were retrospectively reviewed to calculate TGR at pretreatment (TGR0), first follow-up (TGRfirst), and 3(±1) months of study entry (TGR3m).RESULTS: Out of 905 pts screened, 222 were eligible. Best TGRfirst (222 pts) cutoff was 0.8 (area under the curve, 0.74). When applied to TGR3m (103 pts), pts with TGR3m <0.8 (66.9%) versus TGR3m ≥ 0.8 (33.1%) had longer median progression-free survival (PFS; 26.3 m; 95% confidence interval [CI] 19.5-32.4 vs. 9.3 m; 95% CI, 6.1-22.9) and lower progression rate at 12 months (7.3% vs. 56.8%; p = .001). WW (vs. ST) and TGR3m ≥ 0.8 (hazard ratio [HR], 3.75; 95% CI, 2.21-6.34; p < .001) were retained as factors associated with a shorter PFS in multivariable Cox regression. TGR3m (HR, 3.62; 95% CI, 1.97-6.64; p < .001) was also an independent factor related to shorter PFS when analysis was limited to pts with stable disease (81 pts). Out of the 60 pts with TGR0 data available, 60% of pts had TGR0 < 4%/month. TGR0 ≥ 4 %/month (HR, 2.22; 95% CI, 1.15-4.31; p = .018) was also an independent factor related to shorter PFS.CONCLUSION: TGR is an early radiological biomarker able to predict PFS and to identify patients with advanced NETs who may require closer radiological follow-up.IMPLICATIONS FOR PRACTICE: Tumor growth rate at 3 months (TGR3m) is an early radiological biomarker able to predict progression-free survival and to identify patients with advanced neuroendocrine tumors who may require closer radiological follow-up. It is feasible to calculate TGR3m in clinical practice and it could be a useful tool for guiding patient management. This biomarker could also be implemented in future clinical trials to assess response to therapy.
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