Tumor Growth Rate to Predict the Outcome of Patients with Neuroendocrine Tumors: Performance and Sources of Variability

Dromain C, Sundin A, Najran P, Vidal Trueba H, Dioguardi Burgio M, Crona J, Opalinska M, Carvalho L, Franca R, Borg P, Vietti Violi N, Schaefer N, Lopez C, Pezzutti D, De Mestier L, Lamarca A, Costa F, Pavel ME, Ronot M (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Neuroendocrinology Karger

Book Volume: 111

Pages Range: 831-839

Journal Issue: 9

DOI: 10.1159/000510445

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 tumor (NET) patients. We assessed the performance and reproducibility of TGR at 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-month (±1 month) 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 Lin's concordance coefficient (LCC) and kappa coefficient (KC). Results: A total of 790 lesions were measured in 222 patients. Median PFS was 22.9 months. On univariable analysis, number of lesions (

Authors with CRIS profile

Marianne Ellen Pavel Professur für Endokrinologie

Involved external institutions

Uppsala University SE Sweden (SE) Universität Luzern / University of Lucerne (UNILU) CH Switzerland (CH) Marqués de Valdecilla University Hospital / Hospital Universitario de Marqués de Valdecilla (HUMV) ES Spain (ES) Beaujon Hospital / Hôpital Beaujon FR France (FR) Hospital Sírio-Libanês BR Brazil (BR) Christie NHS Foundation Trust GB United Kingdom (GB) Hospital Israelita Albert Einstein BR Brazil (BR) University of Manchester GB United Kingdom (GB)

How to cite

APA:

Dromain, C., Sundin, A., Najran, P., Vidal Trueba, H., Dioguardi Burgio, M., Crona, J.,... Ronot, M. (2021). Tumor Growth Rate to Predict the Outcome of Patients with Neuroendocrine Tumors: Performance and Sources of Variability. Neuroendocrinology, 111(9), 831-839. https://doi.org/10.1159/000510445

MLA:

Dromain, Clarisse, et al. "Tumor Growth Rate to Predict the Outcome of Patients with Neuroendocrine Tumors: Performance and Sources of Variability." Neuroendocrinology 111.9 (2021): 831-839.

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