Literature DB >> 29720487

Metabolic heterogeneity on baseline 18FDG-PET/CT scan is a predictor of outcome in primary mediastinal B-cell lymphoma.

Luca Ceriani1, Lisa Milan1, Maurizio Martelli2, Andrés J M Ferreri3, Luciano Cascione4, Pier Luigi Zinzani5, Alice Di Rocco2, Annarita Conconi6, Anastasios Stathis7, Franco Cavalli4, Monica Bellei8, Kelly Cozens9, Elena Porro4, Luca Giovanella1, Peter W Johnson10, Emanuele Zucca4,7,11.   

Abstract

An important unmet need in the management of primary mediastinal B-cell lymphoma (PMBCL) is to identify the patients for whom first-line therapy will fail to intervene before the lymphoma becomes refractory. High heterogeneity of intratumoral 18F-fluorodeoxyglucose (18FDG) uptake distribution on positron emission tomography/computed tomography (PET/CT) scans has been suggested as a possible marker of chemoresistance in solid tumors. In the present study, we investigated the prognostic value of metabolic heterogeneity (MH) in 103 patients with PMBCL prospectively enrolled in the International Extranodal Lymphoma Study Group (IELSG) 26 study, aimed at clarifying the role of PET in this lymphoma subtype. MH was estimated using the area under curve of cumulative standardized uptake value-volume histogram (AUC-CSH) method. Progression-free survival at 5 years was 94% vs 73% in low- and high-MH groups, respectively (P = .0001). In a Cox model of progression-free survival including dichotomized MH, metabolic tumor volume, total lesion glycolysis (TLG), international prognostic index, and tumor bulk (mediastinal mass > 10 cm), as well as age as a continuous variable, only TLG (P < .001) and MH (P < .001) retained statistical significance. Using these 2 features to construct a simple prognostic model resulted in early and accurate (positive predictive value, 89%; negative predictive value, ≥90%) identification of patients at high risk for progression at a point that would allow the use of risk-adapted treatments. This may provide an important opportunity for the design of future trials aimed at helping the minority of patients who harbor chemorefractory PMBCL. The study is registered at ClinicalTrials.gov as NCT00944567.
© 2018 by The American Society of Hematology.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29720487     DOI: 10.1182/blood-2018-01-826958

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  19 in total

1.  Baseline PET features to predict prognosis in primary mediastinal B cell lymphoma: a comparative analysis of different methods for measuring baseline metabolic tumour volume.

Authors:  Luca Ceriani; Lisa Milan; Peter W M Johnson; Maurizio Martelli; Stefano Presilla; Luca Giovanella; Emanuele Zucca
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-02-26       Impact factor: 9.236

2.  Identification of Very Low-Risk Subgroups of Patients with Primary Mediastinal Large B-Cell Lymphoma Treated with R-CHOP.

Authors:  Theodoros P Vassilakopoulos; Michail Michail; Sotirios Papageorgiou; Georgia Kourti; Maria K Angelopoulou; Fotios Panitsas; Sotirios Sachanas; Christina Kalpadakis; Eirini Katodritou; Theoni Leonidopoulou; Ioannis Kotsianidis; Eleftheria Hatzimichael; Maria Kotsopoulou; Maria Dimou; Eleni Variamis; Dimitrios Boutsis; Evangelos Terpos; Maria N Dimopoulou; Stamatios Karakatsanis; Eurydiki Michalis; George Karianakis; Pantelis Tsirkinidis; Chryssa Vadikolia; Christos Poziopoulos; Anna Pigaditou; Effimia Vrakidou; Theophanis Economopoulos; Lydia Kyriazopoulou; Marina P Siakantaris; Marie-Christine Kyrtsonis; Argyris Symeonidis; Konstantinos Anargyrou; Maria Papaioannou; Evdoxia Hatjiharissi; Elissavet Vervessou; Maria Tsirogianni; Maria Palassopoulou; Gabriella Gainaru; Ekaterini Stefanoudaki; Panayiotis Zikos; Panayiotis Tsirigotis; Gerasimos Tsourouflis; Theodora Assimakopoulou; Pavlina Konstantinidou; Helen A Papadaki; Katerina Megalakaki; Meletios-Athanasios Dimopoulos; Vassiliki Pappa; Themis Karmiris; Paraskevi Roussou; Panayiotis Panayiotidis; Kostas Konstantopoulos; Gerassimos A Pangalis
Journal:  Oncologist       Date:  2021-06-17

3.  High metabolic heterogeneity on baseline 18FDG-PET/CT scan as a poor prognostic factor for newly diagnosed diffuse large B-cell lymphoma.

Authors:  Hajime Senjo; Kenji Hirata; Koh Izumiyama; Koichiro Minauchi; Eriko Tsukamoto; Kazuo Itoh; Minoru Kanaya; Akio Mori; Shuichi Ota; Daigo Hashimoto; Takanori Teshima
Journal:  Blood Adv       Date:  2020-05-26

4.  Prognostic Impact of Intratumoral Heterogeneity Based on Fractal Geometry Analysis in Operated NSCLC Patients.

Authors:  Angelo Castello; Carlo Russo; Fabio Grizzi; Dorina Qehajaj; Egesta Lopci
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

Review 5.  Remaining challenges in predicting patient outcomes for diffuse large B-cell lymphoma.

Authors:  R Andrew Harkins; Andres Chang; Sharvil P Patel; Michelle J Lee; Jordan S Goldstein; Selin Merdan; Christopher R Flowers; Jean L Koff
Journal:  Expert Rev Hematol       Date:  2019-09-12       Impact factor: 2.929

Review 6.  How I treat primary mediastinal B-cell lymphoma.

Authors:  Lisa Giulino-Roth
Journal:  Blood       Date:  2018-07-05       Impact factor: 22.113

7.  Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden.

Authors:  Sally F Barrington; Michel Meignan
Journal:  J Nucl Med       Date:  2019-04-06       Impact factor: 10.057

8.  SAKK38/07 study: integration of baseline metabolic heterogeneity and metabolic tumor volume in DLBCL prognostic model.

Authors:  Luca Ceriani; Giuseppe Gritti; Luciano Cascione; Maria Cristina Pirosa; Angela Polino; Teresa Ruberto; Anastasios Stathis; Andrea Bruno; Alden A Moccia; Luca Giovanella; Stefanie Hayoz; Sämi Schär; Stefan Dirnhofer; Alessandro Rambaldi; Giovanni Martinelli; Christoph Mamot; Emanuele Zucca
Journal:  Blood Adv       Date:  2020-03-24

9.  Non-Hodgkin Lymphoma Metabolism.

Authors:  Brian James Kirsch; Shu-Jyuan Chang; Michael James Betenbaugh; Anne Le
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

10.  Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with Lymphoma.

Authors:  Amy J Weisman; Minnie W Kieler; Scott B Perlman; Martin Hutchings; Robert Jeraj; Lale Kostakoglu; Tyler J Bradshaw
Journal:  Radiol Artif Intell       Date:  2020-09-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.