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  • Dromain, Clarisse, et al. (författare)
  • Tumour Growth Rate to predict the outcome of patients with Neuroendocrine Tumours : Performance and sources of variability
  • 2021
  • Ingår i: Neuroendocrinology. - 0028-3835 .- 1423-0194. ; 111:9, s. 831-839
  • 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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