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Journal of Nuclear Medicine

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OtherAI/Advanced Image Analysis
Open Access

18F-FDG PET maximum intensity projections and artificial intelligence: a win-win combination to easily measure prognostic biomarkers in DLBCL patients

Kibrom Berihu Girum, Louis Rebaud, Anne-Ségolène Cottereau, Michel Meignan, Jérôme Clerc, Laetitia Vercellino, Olivier Casasnovas, Franck Morschhauser, Catherine Thieblemont and Irène Buvat
Journal of Nuclear Medicine June 2022, jnumed.121.263501; DOI: https://doi.org/10.2967/jnumed.121.263501
Kibrom Berihu Girum
1 LITO laboratory, UMR 1288 Inserm, Institut Curie, University Paris Saclay, France;
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Louis Rebaud
2 LITO laboratory, UMR 1288 Inserm, Institut Curie, University Paris Saclay; Research and Clinical Collaborations, Siemens Medical Solutions USA, 810 Innovation Dr, Knoxville, TN 37932, United states, France;
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Anne-Ségolène Cottereau
3 LITO laboratory, UMR 1288 Inserm, Institut Curie, University Paris-Saclay, Orsay, France; Department of Nuclear Medicine, Cochin Hospital, AP-HP, Paris Descartes University, Paris, France, France;
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Michel Meignan
4 Lysa Imaging, Henri Mondor University Hospital, AP-HP, University Paris East, Creteil, France, France;
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Jérôme Clerc
5 Department of Nuclear Medicine, Cochin Hospital, AP-HP, Paris Descartes University, Paris, France, France;
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Laetitia Vercellino
6 Department of Nuclear Medicine, Saint-Louis Hospital, AP-HP, Paris, France, France;
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Olivier Casasnovas
7 Department of Hematology, University Hospital of Dijon, Dijon, France, France;
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Franck Morschhauser
8 Department of Hematology, Claude Huriez hospital, University Lille, EA 7365, Research Group on Injectable Forms and Associated Technologies, Lille, France, France;
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Catherine Thieblemont
9 Department of Hematology, Saint Louis Hospital, AP-HP, Paris, France, France
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Irène Buvat
1 LITO laboratory, UMR 1288 Inserm, Institut Curie, University Paris Saclay, France;
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  • ORCID record for Irène Buvat
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Journal of Nuclear Medicine: 66 (5)
Journal of Nuclear Medicine
Vol. 66, Issue 5
May 1, 2025
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18F-FDG PET maximum intensity projections and artificial intelligence: a win-win combination to easily measure prognostic biomarkers in DLBCL patients
Kibrom Berihu Girum, Louis Rebaud, Anne-Ségolène Cottereau, Michel Meignan, Jérôme Clerc, Laetitia Vercellino, Olivier Casasnovas, Franck Morschhauser, Catherine Thieblemont, Irène Buvat
Journal of Nuclear Medicine Jun 2022, jnumed.121.263501; DOI: 10.2967/jnumed.121.263501

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18F-FDG PET maximum intensity projections and artificial intelligence: a win-win combination to easily measure prognostic biomarkers in DLBCL patients
Kibrom Berihu Girum, Louis Rebaud, Anne-Ségolène Cottereau, Michel Meignan, Jérôme Clerc, Laetitia Vercellino, Olivier Casasnovas, Franck Morschhauser, Catherine Thieblemont, Irène Buvat
Journal of Nuclear Medicine Jun 2022, jnumed.121.263501; DOI: 10.2967/jnumed.121.263501
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Keywords

  • Image Processing
  • Oncology: Lymphoma
  • PET/CT
  • 18F FDG PET/CT
  • artificial intelligence
  • DLBCL
  • dissemination
  • metabolic tumor volume
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