Research ArticleClinical Investigation
Open Access
18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients
Kibrom B. 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 December 2022, 63 (12) 1925-1932; DOI: https://doi.org/10.2967/jnumed.121.263501
Kibrom B. Girum
1LITO Laboratory, U1288 Inserm, Institut Curie, University Paris-Saclay, Orsay, France;
Louis Rebaud
1LITO Laboratory, U1288 Inserm, Institut Curie, University Paris-Saclay, Orsay, France;
2Research and Clinical Collaborations, Siemens Medical Solutions, Knoxville, Tennessee;
Anne-Ségolène Cottereau
1LITO Laboratory, U1288 Inserm, Institut Curie, University Paris-Saclay, Orsay, France;
3Department of Nuclear Medicine, Cochin Hospital, AP-HP, Paris Descartes University, Paris, France;
Michel Meignan
4Lysa Imaging, Henri Mondor University Hospital, AP-HP, University Paris East, Créteil, France;
Jérôme Clerc
3Department of Nuclear Medicine, Cochin Hospital, AP-HP, Paris Descartes University, Paris, France;
Laetitia Vercellino
5Department of Nuclear Medicine, Saint-Louis Hospital, AP-HP, Paris, France;
Olivier Casasnovas
6Department of Hematology, University Hospital of Dijon, Dijon, France;
Franck Morschhauser
7Department of Hematology, Claude Huriez Hospital, University Lille, EA 7365, Research Group on Injectable Forms and Associated Technologies, Lille, France; and
Catherine Thieblemont
8Department of Hematology, Saint Louis Hospital, AP-HP, Paris, France
Irène Buvat
1LITO Laboratory, U1288 Inserm, Institut Curie, University Paris-Saclay, Orsay, France;

Data supplements
Supplemental Data
Files in this Data Supplement:
In this issue
Journal of Nuclear Medicine
Vol. 63, Issue 12
December 1, 2022
18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients
Kibrom B. Girum, Louis Rebaud, Anne-Ségolène Cottereau, Michel Meignan, Jérôme Clerc, Laetitia Vercellino, Olivier Casasnovas, Franck Morschhauser, Catherine Thieblemont, Irène Buvat
Journal of Nuclear Medicine Dec 2022, 63 (12) 1925-1932; DOI: 10.2967/jnumed.121.263501
18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients
Kibrom B. Girum, Louis Rebaud, Anne-Ségolène Cottereau, Michel Meignan, Jérôme Clerc, Laetitia Vercellino, Olivier Casasnovas, Franck Morschhauser, Catherine Thieblemont, Irène Buvat
Journal of Nuclear Medicine Dec 2022, 63 (12) 1925-1932; DOI: 10.2967/jnumed.121.263501
Jump to section
Related Articles
Cited By...
- The Use of Maximum-Intensity Projections and Deep Learning Adds Value to the Fully Automatic Segmentation of Lesions Avid for [18F]FDG and [68Ga]Ga-PSMA in PET/CT
- Integration of clinical, pathological, radiological, and transcriptomic data improves the prediction of first-line immunotherapy outcome in metastatic non-small cell lung cancer
- Promising Candidate Prognostic Biomarkers in [18F]FDG PET Images: Evaluation in Independent Cohorts of Non-Small Cell Lung Cancer Patients
- Tumor Location Relative to the Spleen Is a Prognostic Factor in Lymphoma Patients: A Demonstration from the REMARC Trial