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:https://doi.org/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

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

Research output: Contribution to journal › Article › Academic › peer-review

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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].

Original language	English
Article number	104976
Journal	Data in brief
Volume	28
DOIs	https://doi.org/10.1016/j.dib.2019.104976
Publication status	Published - Feb 2020

Keywords

Agreement
DLBCL
Fixed thresholding method
PETAL trial
Positron emission tomography scanning
TMTV determination

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https://doi.org/10.1016/j.dib.2019.104976

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Schmitz, C., Hüttmann, A., Müller, S. P., Hanoun, M., Boellaard, R., Brinkmann, M., Jöckel, K. H., Dührsen, U., & Rekowski, J. (2020). 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 in brief, 28, Article 104976. https://doi.org/10.1016/j.dib.2019.104976

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

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 SUV41max 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{\textquoteright} 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",

author = "Christine Schmitz and Andreas H{\"u}ttmann and M{\"u}ller, {Stefan P.} and Maher Hanoun and Ronald Boellaard and Marcus Brinkmann and J{\"o}ckel, {Karl Heinz} and Ulrich D{\"u}hrsen and Jan Rekowski",

year = "2020",

month = feb,

doi = "https://doi.org/10.1016/j.dib.2019.104976",

language = "English",

volume = "28",

journal = "Data in brief",

issn = "2352-3409",

publisher = "Elsevier BV",

}

Schmitz, C, Hüttmann, A, Müller, SP, Hanoun, M, Boellaard, R, Brinkmann, M, Jöckel, KH, Dührsen, U & Rekowski, J 2020, '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 in brief, vol. 28, 104976. https://doi.org/10.1016/j.dib.2019.104976

TY - JOUR

T1 - Supporting data for positron emission tomography-based risk modelling using a fixed-instead of a relative thresholding method for total metabolic tumor volume determination

AU - Schmitz, Christine

AU - Hüttmann, Andreas

AU - Müller, Stefan P.

AU - Hanoun, Maher

AU - Boellaard, Ronald

AU - Brinkmann, Marcus

AU - Jöckel, Karl Heinz

AU - Dührsen, Ulrich

AU - Rekowski, Jan

PY - 2020/2

Y1 - 2020/2

N2 - 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 SUV41max 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].

AB - 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 SUV41max 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].

KW - Agreement

KW - DLBCL

KW - Fixed thresholding method

KW - PETAL trial

KW - Positron emission tomography scanning

KW - TMTV determination

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U2 - https://doi.org/10.1016/j.dib.2019.104976

DO - https://doi.org/10.1016/j.dib.2019.104976

M3 - Article

C2 - 31890813

SN - 2352-3409

VL - 28

JO - Data in brief

JF - Data in brief

M1 - 104976

ER -

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

Abstract

Keywords

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