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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.
Afiliação
  • Eertink JJ; Hematology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Zwezerijnen GJC; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Heymans MW; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Pieplenbosch S; Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Wiegers SE; Epidemiology and Data Science, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Dührsen U; Methodology, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
  • Hüttmann A; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Kurch L; Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Hanoun C; Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Lugtenburg PJ; Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Barrington SF; Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Mikhaeel NG; Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Ceriani L; Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Leipzig, Leipzig, Germany.
  • Zucca E; Department of Hematology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Czibor S; Department of Hematology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Györke T; King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's Health Partners, King's College London, London, United Kingdom.
  • Chamuleau MED; Department of Clinical Oncology, Guy's Cancer Centre and School of Cancer and Pharmaceutical Sciences, King's College London University, London, United Kingdom.
  • Hoekstra OS; Department of Nuclear Medicine and PET/CT Centre, Imaging Institute of Southern Switzerland, Università della Svizzera Italiana, Bellinzona, Switzerland.
  • de Vet HCW; SAKK Swiss Group for Clinical Cancer Research, Bern, Switzerland.
  • Boellaard R; SAKK Swiss Group for Clinical Cancer Research, Bern, Switzerland.
  • Zijlstra JM; Department of Oncology, IOSI - Oncology Institute of Southern Switzerland, Università della Svizzera Italiana, Bellinzona, Switzerland.
Blood ; 141(25): 3055-3064, 2023 06 22.
Article em En | MEDLINE | ID: mdl-37001036
ABSTRACT
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 (Dmaxbulk), and peak standardized uptake value (SUVpeak) were extracted. The predictive values of the IPI and clinical PET model (MTV, Dmaxbulk, SUVpeak, 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linfoma Difuso de Grandes Células B / Recidiva Local de Neoplasia Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Blood Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Linfoma Difuso de Grandes Células B / Recidiva Local de Neoplasia Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Blood Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda