Literature DB >> 32947651

Prognostic models integrating quantitative parameters from baseline and interim positron emission computed tomography in patients with diffuse large B-cell lymphoma: post-hoc analysis from the SAKK38/07 clinical trial.

Emanuele Zucca1,2,3, Luciano Cascione2,4, Teresa Ruberto5, Davide Facchinelli1, Sämi Schär6, Stefanie Hayoz6, Stefan Dirnhofer7, Luca Giovanella5,8, Mario Bargetzi9, Christoph Mamot9, Luca Ceriani2,5.   

Abstract

Positron emission computed tomography (PET/CT) in patients with diffuse large B-cell lymphoma (DLBCL) enrolled in a prospective clinical trial were reviewed to test the impact of quantitative parameters from interim PET/CT scans on overall (OS) and progression-free (PFS) survival. We centrally reviewed baseline and interim PET/CT scans of 138 patients treated with rituximab plus cyclophosphamide, doxorubicin, vincristine and prednisone given every 14 days (R-CHOP14) in the SAKK38/07 trial (ClinicalTrial.gov identifier: NCT00544219). Cutoff values for maximum standardized uptake value (SUVmax ), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and metabolic heterogeneity (MH) were defined by receiver operating characteristic analysis. Responses were scored using the Deauville scale (DS). Patients with DS 5 at interim PET/CT (defined by uptake >2 times higher than in normal liver) had worse PFS (P = 0.014) and OS (P < 0.0001). A SUVmax reduction (Δ) greater than 66% was associated with longer PFS (P = 0.0027) and OS (P < 0.0001). Elevated SUVmax , MTV, TLG, and MH at interim PET/CT also identified patients with poorer outcome. At multivariable analysis, ΔSUVmax and baseline MTV appeared independent outcome predictors. A prognostic model integrating ΔSUVmax and baseline MTV discriminated three risk groups with significantly (log-rank test for trend, P < 0.0001) different PFS and OS. Moreover, the integration of MH and clinical prognostic indices could further refine the prediction of OS. PET metrics-derived prognostic models perform better than the international indices alone. Integration of baseline and interim PET metrics identified poor-risk DLBCL patients who might benefit from alternative treatments.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  diffuse large B-cell lymphoma; international prognostic index; positron-emission computed tomography; prognostic models

Year:  2020        PMID: 32947651     DOI: 10.1002/hon.2805

Source DB:  PubMed          Journal:  Hematol Oncol        ISSN: 0278-0232            Impact factor:   5.271


  6 in total

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2.  Two-Year Event-Free Survival Prediction in DLBCL Patients Based on In Vivo Radiomics and Clinical Parameters.

Authors:  Zsombor Ritter; László Papp; Katalin Zámbó; Zoltán Tóth; Dániel Dezső; Dániel Sándor Veres; Domokos Máthé; Ferenc Budán; Éva Karádi; Anett Balikó; László Pajor; Árpád Szomor; Erzsébet Schmidt; Hussain Alizadeh
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

3.  Optimal PET-based radiomic signature construction based on the cross-combination method for predicting the survival of patients with diffuse large B-cell lymphoma.

Authors:  Chong Jiang; Ang Li; Yue Teng; Xiangjun Huang; Chongyang Ding; Jianxin Chen; Jingyan Xu; Zhengyang Zhou
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-02-11       Impact factor: 10.057

4.  PET2 response associated with survival in newly diagnosed diffuse large B-cell lymphoma: results of two independent prospective cohorts.

Authors:  Sanjal H Desai; Levi Pederson; Betsy LaPlant; Raphael Mwangi; Matthew Maurer; Jason R Young; William R Macon; Rebecca L King; Yucai Wang; James R Cerhan; Andrew Feldman; David J Inwards; Ivana Micallef; Patrick Johnston; Luis F Porrata; Stephen M Ansell; Thomas M Habermann; Thomas E Witzig; Grzegorz S Nowakowski
Journal:  Blood Cancer J       Date:  2022-05-03       Impact factor: 9.812

5.  Risk Stratification for Diffuse Large B-Cell Lymphoma by Integrating Interim Evaluation and International Prognostic Index: A Multicenter Retrospective Study.

Authors:  Xue Shi; Xiaoqian Liu; Xiaomei Li; Yahan Li; Dongyue Lu; Xue Sun; Ying Li; Shunfeng Hu; Yuanfeng Zhang; Xiangxiang Zhou; Xin Wang; Haiping Chen; Xiaosheng Fang
Journal:  Front Oncol       Date:  2021-12-16       Impact factor: 6.244

6.  Integration of Baseline Metabolic Parameters and Mutational Profiles Predicts Long-Term Response to First-Line Therapy in DLBCL Patients: A Post Hoc Analysis of the SAKK38/07 Study.

Authors:  Sofia Genta; Guido Ghilardi; Luciano Cascione; Darius Juskevicius; Alexandar Tzankov; Sämi Schär; Lisa Milan; Maria Cristina Pirosa; Fabiana Esposito; Teresa Ruberto; Luca Giovanella; Stefanie Hayoz; Christoph Mamot; Stefan Dirnhofer; Emanuele Zucca; Luca Ceriani
Journal:  Cancers (Basel)       Date:  2022-02-17       Impact factor: 6.639

  6 in total

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