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Article

Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell Lymphoma: Is There a Superior Method?

by
Florian Eude
1,2,
Mathieu Nessim Toledano
1,2,
Pierre Vera
1,2,
Hervé Tilly
3,4,
Sorina-Dana Mihailescu
5 and
Stéphanie Becker
1,2,*
1
Nuclear Medicine Department, Henri Becquerel Cancer Centre, 76038 Rouen, France
2
QuantiF-LITIS Laboratory (EA 4108-FR CNRS 3638), Faculty of Medicine, University of Rouen, 76130 Mont-Saint-Aignan, France
3
Hematology Department, Henri Becquerel Cancer Centre, 76038 Rouen, France
4
INSERM U1245, Henri Becquerel Cancer Centre, 76038 Rouen, France
5
Department of Statistics and Clinical Research Unit, Henri Becquerel Cancer Centre, 76038 Rouen, France
*
Author to whom correspondence should be addressed.
Metabolites 2021, 11(2), 72; https://doi.org/10.3390/metabo11020072
Submission received: 15 December 2020 / Revised: 19 January 2021 / Accepted: 21 January 2021 / Published: 26 January 2021
(This article belongs to the Special Issue Metabolic Volume Measurements)

Abstract

The metabolic tumour volume (MTV) is an independent prognostic indicator in diffuse large B-cell lymphoma (DLBCL). However, its measurement is not standardised and is subject to wide variations depending on the method used. This study aimed to compare the reproducibility of MTV measurement as well as the thresholds obtained for each method and their prognostic values. The baseline MTV was measured in 239 consecutive patients treated at Henri Becquerel Centre by two blinded evaluators. Eight methods were compared: 3 absolute (SUV (standardised uptake value) ≥ 2.5; SUV≥ liver SUVmax; SUV≥ PERCIST SUV), 1 percentage SUV threshold method (SUV ≥ 41% SUVmax) and 4 adaptive methods (Daisne, Nestle, Fitting, Black). The intraclass correlation coefficients were excellent, from 0.91 to 0.96, for the absolute SUV methods, Black and Nestle methods, and good for 41% SUVmax, Fitting and Daisne methods (0.82 to 0.88), with a significantly lower variability with absolute methods compared to 41% SUVmax (p < 0.04). Thresholds were found to be specific to each segmentation method and ranged from 295 to 552 cm3. There was a strong correlation between the MTV and patient prognosis regardless of the segmentation method used (p = 0.001 for PFS and OS). The largest inter-observer cut-off variability was observed in the 41% SUVmax method, which resulted in more inter-observer disagreements in the classification of patients between high and low MTV groups. MTV measurements based on absolute SUV criteria were found to be significantly more reproducible than those based on 41% SUVmax criteria. The threshold was specific for each of eight segmentation methods, but all predicted prognosis.
Keywords: positron-emission tomography; large B-Cell lymphoma; metabolic tumour volume; segmentation positron-emission tomography; large B-Cell lymphoma; metabolic tumour volume; segmentation
Graphical Abstract

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MDPI and ACS Style

Eude, F.; Toledano, M.N.; Vera, P.; Tilly, H.; Mihailescu, S.-D.; Becker, S. Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell Lymphoma: Is There a Superior Method? Metabolites 2021, 11, 72. https://doi.org/10.3390/metabo11020072

AMA Style

Eude F, Toledano MN, Vera P, Tilly H, Mihailescu S-D, Becker S. Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell Lymphoma: Is There a Superior Method? Metabolites. 2021; 11(2):72. https://doi.org/10.3390/metabo11020072

Chicago/Turabian Style

Eude, Florian, Mathieu Nessim Toledano, Pierre Vera, Hervé Tilly, Sorina-Dana Mihailescu, and Stéphanie Becker. 2021. "Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell Lymphoma: Is There a Superior Method?" Metabolites 11, no. 2: 72. https://doi.org/10.3390/metabo11020072

APA Style

Eude, F., Toledano, M. N., Vera, P., Tilly, H., Mihailescu, S.-D., & Becker, S. (2021). Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell Lymphoma: Is There a Superior Method? Metabolites, 11(2), 72. https://doi.org/10.3390/metabo11020072

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