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OtherState-of-the-Art (Invitation Only)
Open Access

A guide to ComBat harmonization of imaging biomarkers in multicenter studies

Fanny Orlhac, Jakoba J Eertink, Anne-Segolene Cottereau, Josee M. Zijlstra, Catherine Thieblemont, Michel A. Meignan, Ronald Boellaard and Irene Buvat
Journal of Nuclear Medicine September 2021, jnumed.121.262464; DOI: https://doi.org/10.2967/jnumed.121.262464
Fanny Orlhac
1 Institut Curie, Universite PSL, Inserm, U1288 LITO, Universite Paris Saclay, France;
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Jakoba J Eertink
2 Amsterdam UMC, Vrije Universiteit Amsterdam, department of Hematology, Cancer Center, Netherlands;
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Anne-Segolene Cottereau
1 Institut Curie, Universite PSL, Inserm, U1288 LITO, Universite Paris Saclay, France;
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Josee M. Zijlstra
2 Amsterdam UMC, Vrije Universiteit Amsterdam, department of Hematology, Cancer Center, Netherlands;
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Catherine Thieblemont
3 APHP, Hopital Saint-Louis, Service d'hemato-oncologie, DMU DHI, Universite de Paris, France;
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Michel A. Meignan
4 AP-HP, Universite Paris-Est, Hopital Henri Mondor, Lysa Imaging, France;
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Ronald Boellaard
5 Amsterdam UMC, Vrije Universiteit Amsterdam, department of Radiology and Nuclear Medicine, Cancer Center, Netherlands
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Irene Buvat
1 Institut Curie, Universite PSL, Inserm, U1288 LITO, Universite Paris Saclay, France;
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Abstract

The impact of PET image acquisition and reconstruction parameters on SUV measurements or radiomic feature values is widely documented. This "scanner" effect is detrimental to the design and validation of predictive or prognostic models and limits the use of large multicenter cohorts. To reduce the impact of this scanner effect, the ComBat method has been proposed and is now used in various contexts. The purpose of this article is to explain and illustrate the use of ComBat based on practical examples. We also give examples in which the ComBat assumptions are not met; thus, ComBat should not be used.

  • Image Processing
  • PET
  • PET/CT
  • PET/MRI
  • Statistical Analysis
  • Harmonization
  • Multicenter studies
  • Radiomics
  • Texture Analysis

Footnotes

  • Immediate Open Access: Creative Commons Attribution 4.0 International License (CC BY) allows users to share and adapt with attribution, excluding materials credited to previous publications. License: https://creativecommons.org/licenses/by/4.0/. Details: https://jnm.snmjournals.org/page/permissions.

  • Copyright © 2021 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

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Journal of Nuclear Medicine: 63 (5)
Journal of Nuclear Medicine
Vol. 63, Issue 5
May 1, 2022
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A guide to ComBat harmonization of imaging biomarkers in multicenter studies
Fanny Orlhac, Jakoba J Eertink, Anne-Segolene Cottereau, Josee M. Zijlstra, Catherine Thieblemont, Michel A. Meignan, Ronald Boellaard, Irene Buvat
Journal of Nuclear Medicine Sep 2021, jnumed.121.262464; DOI: 10.2967/jnumed.121.262464

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A guide to ComBat harmonization of imaging biomarkers in multicenter studies
Fanny Orlhac, Jakoba J Eertink, Anne-Segolene Cottereau, Josee M. Zijlstra, Catherine Thieblemont, Michel A. Meignan, Ronald Boellaard, Irene Buvat
Journal of Nuclear Medicine Sep 2021, jnumed.121.262464; DOI: 10.2967/jnumed.121.262464
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Keywords

  • Image Processing
  • PET
  • PET/CT
  • PET/MRI
  • Statistical Analysis
  • harmonization
  • multicenter studies
  • Radiomics
  • texture analysis
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