Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma

Maria C. Ferrández; Sandeep S.V. Golla; Jakoba J. Eertink; Sanne E. Wiegers; Gerben J.C. Zwezerijnen; Martijn W. Heymans; Pieternella J. Lugtenburg; Lars Kurch; Andreas Hüttmann; Christine Hanoun; Ulrich Dührsen; Sally F. Barrington; N. George Mikhaeel; Luca Ceriani; Emanuele Zucca; Sándor Czibor; Tamás Györke; Martine E.D. Chamuleau; Josée M. Zijlstra; Ronald Boellaard

doi:10.2967/jnumed.124.268191

Research ArticleClinical Investigation

Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma

Maria C. Ferrández, Sandeep S.V. Golla, Jakoba J. Eertink, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Martijn W. Heymans, Pieternella J. Lugtenburg, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Sally F. Barrington, N. George Mikhaeel, Luca Ceriani, Emanuele Zucca, Sándor Czibor, Tamás Györke, Martine E.D. Chamuleau, Josée M. Zijlstra and Ronald Boellaard; on behalf of the PETRA Consortium

Journal of Nuclear Medicine November 2024, 65 (11) 1802-1807; DOI: https://doi.org/10.2967/jnumed.124.268191

Maria C. Ferrández

1Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

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Sandeep S.V. Golla

1Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

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Jakoba J. Eertink

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

3Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

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Sanne E. Wiegers

1Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

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Gerben J.C. Zwezerijnen

1Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

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Martijn W. Heymans

4Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

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Pieternella J. Lugtenburg

5Department of Hematology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands;

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Lars Kurch

6Clinic and Polyclinic for Nuclear Medicine, Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany;

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Andreas Hüttmann

7Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg–Essen, Essen, Germany;

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Christine Hanoun

7Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg–Essen, Essen, Germany;

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Ulrich Dührsen

7Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg–Essen, Essen, Germany;

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Sally F. Barrington

8School of Biomedical Engineering and Imaging Sciences, King’s College London and Guy’s and St Thomas’ PET Centre, King’s Health Partners, King’s College London, London, United Kingdom;

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N. George Mikhaeel

9Department of Clinical Oncology, Guy’s Cancer Centre and School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom;

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Luca Ceriani

10Department of Nuclear Medicine and PET/CT Centre, Imaging Institute of Southern Switzerland–EOC, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland;

11SAKK Swiss Group for Clinical Cancer Research, Bern, Switzerland;

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Emanuele Zucca

11SAKK Swiss Group for Clinical Cancer Research, Bern, Switzerland;

12Department of Oncology, Oncology Institute of Southern Switzerland–EOC, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland;

13Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland; and

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Sándor Czibor

14Department of Nuclear Medicine, Medical Imaging Centre, Semmelweis University, Budapest, Hungary

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Tamás Györke

14Department of Nuclear Medicine, Medical Imaging Centre, Semmelweis University, Budapest, Hungary

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Martine E.D. Chamuleau

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

3Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

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Josée M. Zijlstra

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

3Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

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Ronald Boellaard

1Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;

2Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands;

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Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma

Journal of Nuclear Medicine Nov 2024, 65 (11) 1802-1807; DOI: 10.2967/jnumed.124.268191

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Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma

Journal of Nuclear Medicine Nov 2024, 65 (11) 1802-1807; DOI: 10.2967/jnumed.124.268191

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Keywords

diffuse large B-cell lymphoma
maximum-intensity projection
convolutional neural networks
time to progression
prediction

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