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European Journal of Nuclear Medicine and Molecular Imaging

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01-06-2019 | Lymphoma | Original Article

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

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 6/2019

Abstract

Purpose

This study assessed the performance of four different methods for the estimation of metabolic tumour volume (MTV) in primary mediastinal B cell lymphoma (PMBCL).

Method

MTV was estimated using either a region growing automatic software program (RG) or a fixed threshold (FT) segmentation algorithm with the three most common cut-offs proposed in the literature (i.e., 25% and 41% of the SUVmax and SUV value ≥2.5). We compared these four methods using phantoms that simulated different set-ups of the main imaging characteristics of PMBCL (volume, shape, 18-FDG uptake and intra-lesion distribution) and assessed their performance in 103 PMBCL patients enrolled in the International Extranodal Lymphoma Study Group-26 (IELSG-26) study.

Results

There was good correlation between MTV values estimated in vitro and in vivo using the different methods. The 25% FT cut-off (FT25%) provided the most accurate MTV evaluation in the phantoms. The cut-off at SUV 2.5 (FT2.5) resulted in MTV overestimation that particularly increased with high SUV values. The 41% cut-off (FT41%) showed MTV underestimation that was more evident when there were high levels of heterogeneity in tracer distribution. Shape of the lesion did not affect MTV computation. The RG algorithm provided a systematic slight MTV underestimation without significant changes due to lesion characteristics. We observed analogous trends for the MTV estimation in patients, with very different derived thresholds for the four methods. Optimal cut-offs for predicting progression-free survival (PFS) ranged from 213 to 831 ml. All methods predicted PFS with similar negative predictive values (94–95%) but different positive predictive values (23–45%).

Conclusions

The different methods result in significantly different MTV cut-off values. All allow risk stratification in PMBCL, but FT25% showed the best capacity to predict disease progression in the patient cohort and provided the best accuracy in the phantom model.

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Title: 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
Publication date: 01-06-2019
Publisher: Springer Berlin Heidelberg
Keyword: Lymphoma
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 6/2019
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-019-04286-8

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

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

Abstract

Purpose

Method

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Purpose

Method

Results

Conclusions

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