Supporting data for positron emission tomography-based risk modelling using a fixed-instead of a relative thresholding method for total metabolic tumor volume determination

Christine Schmitz; Andreas Hüttmann; Stefan P Müller; Maher Hanoun; Ronald Boellaard; Marcus Brinkmann; Karl-Heinz Jöckel; Ulrich Dührsen; Jan Rekowski

doi:10.1016/j.dib.2019.104976

Supporting data for positron emission tomography-based risk modelling using a fixed-instead of a relative thresholding method for total metabolic tumor volume determination

Data Brief. 2019 Dec 12:28:104976. doi: 10.1016/j.dib.2019.104976. eCollection 2020 Feb.

Authors

Christine Schmitz¹, Andreas Hüttmann¹, Stefan P Müller², Maher Hanoun¹, Ronald Boellaard³, Marcus Brinkmann⁴, Karl-Heinz Jöckel⁵, Ulrich Dührsen¹, Jan Rekowski⁵

Affiliations

¹ Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
² Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
³ Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands.
⁴ Center for Clinical Trials, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
⁵ Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Abstract

Total metabolic tumor volume (TMTV) was measured in 510 patients with DLBCL participating in the PETAL trial. The present data provide information about the prognostic impact of total metabolic tumor volume using the fixed standardized uptake value (SUV₄) instead of the relative SUV_41max thresholding method. A Bland-Altman plot was created to compare both methods. For TMTV assessed by the SUV₄ method a Cox regression was applied to determine its effect on time to progression, progression-free survival, and overall survival. Kaplan-Meier curves and corresponding hazard ratios were used to estimate the effect of TMTV alone or in combination with interim positron emission tomography response on patients' survival. The data relate to the research article entitled "Dynamic risk assessment based on positron emission tomography scanning in diffuse large B-cell lymphoma: post-hoc analysis from the PETAL trial" [1].

Keywords: Agreement; DLBCL; Fixed thresholding method; PETAL trial; Positron emission tomography scanning; TMTV determination.