Total tumor burden in lymphoma – an evolving strong prognostic parameter

Author:

Meignan Michel1,Cottereau Anne-Segolene2,Specht Lena3,Mikhaeel N. George4

Affiliation:

1. LYSA Imaging, Henri Mondor University Hospitals, University Paris Est, Créteil, France

2. Dept of Nuclear Medicine, Cochin Hospital, University of Paris, Paris, France

3. Dept. of Oncology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

4. Department of Clinical Oncology, Guy’s & St Thomas’ NHS Trust and School of Cancer and Pharmaceutical Sciences, King’s College London University, London, United Kingdom

Abstract

Total metabolic tumor volume (TMTV), a new parameter extracted from baseline FDG-PET/CT, has been recently proposed by several groups as a prognosticator in lymphomas before first-line treatment. TMTV, the sum of the metabolic volume of each lesion, is an index of the metabolically most active part of the tumor and highly correlates with the total tumor burden. TMTV measurement is obtained from PET images processed with different software and techniques, many being now freely available. In the various lymphoma subtypes where it has been measured, such as diffuse large B-cell lymphoma, Hodgkin lymphoma, Follicular Lymphoma, and Peripheral T-cell lymphoma, TMTV has been reported as a strong predictor of outcome (progression-free survival and overall survival) often outperforming the clinical scores, molecular predictors, and results of interim PET. Combined with these scores, TMTV improves the stratification of the populations into risk groups with different outcomes. TMTV cut-off separating the high-risk from the low-risk population impacts the outcome whatever the technique used for its measurement and an international harmonization is ongoing. TMTV is a unique and easy tool that could replace the surrogate of tumor burden included in the prognostic indexes used in lymphoma and help tailor therapy. Other parameters extracted from the baseline PET may give an information on the dissemination of this total tumor volume such as the maximum distance between the lesions. Trials based on TMTV would probably demonstrate its predictive value.

Publisher

British Institute of Radiology

Subject

Radiology Nuclear Medicine and imaging,General Medicine

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