Cargando…

Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma

The objective of this study is to externally validate the clinical positron emission tomography (PET) model developed in the HOVON-84 trial and to compare the model performance of our clinical PET model using the international prognostic index (IPI). In total, 1195 patients with diffuse large B-cell...

Descripción completa

Detalles Bibliográficos
Autores principales: Eertink, J. J., Zwezerijnen, G. J. C., Heymans, M. W., Pieplenbosch, S., Wiegers, S. E., Dührsen, U., Hüttmann, A., Kurch, L., Hanoun, C., Lugtenburg, P. J., Barrington, S. F., Mikhaeel, N. G., Ceriani, L., Zucca, E., Czibor, S., Györke, T., Chamuleau, M. E. D., Hoekstra, O. S., de Vet, H. C. W., Boellaard, R., Zijlstra, J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society of Hematology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646814/
https://www.ncbi.nlm.nih.gov/pubmed/37001036
http://dx.doi.org/10.1182/blood.2022018558
_version_ 1785134967017177088
author Eertink, J. J.
Zwezerijnen, G. J. C.
Heymans, M. W.
Pieplenbosch, S.
Wiegers, S. E.
Dührsen, U.
Hüttmann, A.
Kurch, L.
Hanoun, C.
Lugtenburg, P. J.
Barrington, S. F.
Mikhaeel, N. G.
Ceriani, L.
Zucca, E.
Czibor, S.
Györke, T.
Chamuleau, M. E. D.
Hoekstra, O. S.
de Vet, H. C. W.
Boellaard, R.
Zijlstra, J. M.
author_facet Eertink, J. J.
Zwezerijnen, G. J. C.
Heymans, M. W.
Pieplenbosch, S.
Wiegers, S. E.
Dührsen, U.
Hüttmann, A.
Kurch, L.
Hanoun, C.
Lugtenburg, P. J.
Barrington, S. F.
Mikhaeel, N. G.
Ceriani, L.
Zucca, E.
Czibor, S.
Györke, T.
Chamuleau, M. E. D.
Hoekstra, O. S.
de Vet, H. C. W.
Boellaard, R.
Zijlstra, J. M.
author_sort Eertink, J. J.
collection PubMed
description The objective of this study is to externally validate the clinical positron emission tomography (PET) model developed in the HOVON-84 trial and to compare the model performance of our clinical PET model using the international prognostic index (IPI). In total, 1195 patients with diffuse large B-cell lymphoma (DLBCL) were included in the study. Data of 887 patients from 6 studies were used as external validation data sets. The primary outcomes were 2-year progression-free survival (PFS) and 2-year time to progression (TTP). The metabolic tumor volume (MTV), maximum distance between the largest lesion and another lesion (Dmax(bulk)), and peak standardized uptake value (SUV(peak)) were extracted. The predictive values of the IPI and clinical PET model (MTV, Dmax(bulk), SUV(peak), performance status, and age) were tested. Model performance was assessed using the area under the curve (AUC), and diagnostic performance, using the positive predictive value (PPV). The IPI yielded an AUC of 0.62. The clinical PET model yielded a significantly higher AUC of 0.71 (P < .001). Patients with high-risk IPI had a 2-year PFS of 61.4% vs 51.9% for those with high-risk clinical PET, with an increase in PPV from 35.5% to 49.1%, respectively. A total of 66.4% of patients with high-risk IPI were free from progression or relapse vs 55.5% of patients with high-risk clinical PET scores, with an increased PPV from 33.7% to 44.6%, respectively. The clinical PET model remained predictive of outcome in 6 independent first-line DLBCL studies, and had higher model performance than the currently used IPI in all studies.
format Online
Article
Text
id pubmed-10646814
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher The American Society of Hematology
record_format MEDLINE/PubMed
spelling pubmed-106468142023-04-05 Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma Eertink, J. J. Zwezerijnen, G. J. C. Heymans, M. W. Pieplenbosch, S. Wiegers, S. E. Dührsen, U. Hüttmann, A. Kurch, L. Hanoun, C. Lugtenburg, P. J. Barrington, S. F. Mikhaeel, N. G. Ceriani, L. Zucca, E. Czibor, S. Györke, T. Chamuleau, M. E. D. Hoekstra, O. S. de Vet, H. C. W. Boellaard, R. Zijlstra, J. M. Blood Lymphoid Neoplasia The objective of this study is to externally validate the clinical positron emission tomography (PET) model developed in the HOVON-84 trial and to compare the model performance of our clinical PET model using the international prognostic index (IPI). In total, 1195 patients with diffuse large B-cell lymphoma (DLBCL) were included in the study. Data of 887 patients from 6 studies were used as external validation data sets. The primary outcomes were 2-year progression-free survival (PFS) and 2-year time to progression (TTP). The metabolic tumor volume (MTV), maximum distance between the largest lesion and another lesion (Dmax(bulk)), and peak standardized uptake value (SUV(peak)) were extracted. The predictive values of the IPI and clinical PET model (MTV, Dmax(bulk), SUV(peak), performance status, and age) were tested. Model performance was assessed using the area under the curve (AUC), and diagnostic performance, using the positive predictive value (PPV). The IPI yielded an AUC of 0.62. The clinical PET model yielded a significantly higher AUC of 0.71 (P < .001). Patients with high-risk IPI had a 2-year PFS of 61.4% vs 51.9% for those with high-risk clinical PET, with an increase in PPV from 35.5% to 49.1%, respectively. A total of 66.4% of patients with high-risk IPI were free from progression or relapse vs 55.5% of patients with high-risk clinical PET scores, with an increased PPV from 33.7% to 44.6%, respectively. The clinical PET model remained predictive of outcome in 6 independent first-line DLBCL studies, and had higher model performance than the currently used IPI in all studies. The American Society of Hematology 2023-06-22 2023-04-05 /pmc/articles/PMC10646814/ /pubmed/37001036 http://dx.doi.org/10.1182/blood.2022018558 Text en © 2023 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lymphoid Neoplasia
Eertink, J. J.
Zwezerijnen, G. J. C.
Heymans, M. W.
Pieplenbosch, S.
Wiegers, S. E.
Dührsen, U.
Hüttmann, A.
Kurch, L.
Hanoun, C.
Lugtenburg, P. J.
Barrington, S. F.
Mikhaeel, N. G.
Ceriani, L.
Zucca, E.
Czibor, S.
Györke, T.
Chamuleau, M. E. D.
Hoekstra, O. S.
de Vet, H. C. W.
Boellaard, R.
Zijlstra, J. M.
Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
title Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
title_full Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
title_fullStr Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
title_full_unstemmed Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
title_short Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
title_sort baseline pet radiomics outperforms the ipi risk score for prediction of outcome in diffuse large b-cell lymphoma
topic Lymphoid Neoplasia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646814/
https://www.ncbi.nlm.nih.gov/pubmed/37001036
http://dx.doi.org/10.1182/blood.2022018558
work_keys_str_mv AT eertinkjj baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT zwezerijnengjc baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT heymansmw baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT pieplenboschs baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT wiegersse baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT duhrsenu baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT huttmanna baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT kurchl baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT hanounc baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT lugtenburgpj baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT barringtonsf baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT mikhaeelng baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT cerianil baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT zuccae baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT czibors baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT gyorket baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT chamuleaumed baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT hoekstraos baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT devethcw baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT boellaardr baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT zijlstrajm baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma
AT baselinepetradiomicsoutperformstheipiriskscoreforpredictionofoutcomeindiffuselargebcelllymphoma