Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.

BACKGROUND:To investigate the diagnostic and prognostic performances of 18F-FDG PET/CT measures of metabolic tumour burden in patients with neurofibromatosis type-1 (NF1), suspect of malignant transformation. METHODS:This retrospective study included 49 patients (15-60 years old, 30 women) with a di...

Full description

Bibliographic Details
Main Authors: Axel Van Der Gucht, Ouidad Zehou, Soraya Djelbani-Ahmed, Laurence Valeyrie-Allanore, Nicolas Ortonne, Pierre Brugières, Pierre Wolkenstein, Alain Luciani, Alain Rahmouni, Emilie Sbidian, Emmanuel Itti
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4795780?pdf=render
id doaj-6952e6c81af746f8aa27266d805a66ed
record_format Article
spelling doaj-6952e6c81af746f8aa27266d805a66ed2020-11-24T21:47:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01113e015180910.1371/journal.pone.0151809Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.Axel Van Der GuchtOuidad ZehouSoraya Djelbani-AhmedLaurence Valeyrie-AllanoreNicolas OrtonnePierre BrugièresPierre WolkensteinAlain LucianiAlain RahmouniEmilie SbidianEmmanuel IttiBACKGROUND:To investigate the diagnostic and prognostic performances of 18F-FDG PET/CT measures of metabolic tumour burden in patients with neurofibromatosis type-1 (NF1), suspect of malignant transformation. METHODS:This retrospective study included 49 patients (15-60 years old, 30 women) with a diagnosis of NF1, followed in our Reference Centre for Rare Neuromuscular Diseases, who presented clinical signs of tumour progression (pain, neurological deficit, tumour growth). Quantitative metabolic parameters were measured on 149 tumoral targets, using semi-automatic software and the best cut off values to predict transformation was assessed by Receiver Operating Characteristics (ROC) analysis. Prognostic value of PET/CT metabolic parameters was assessed by Kaplan-Meier estimates of overall survival. RESULTS:Lesions were histologically documented in 40 patients: a sarcomatous transformation was found in 16, a dysplastic neurofibroma (NF) in 7, and a benign NF in 17; in the remaining 9 patients, a minimal follow-up of 12 mo (median 59 mo) confirmed the absence of transformation. The optimal cut off values for detection of malignant transformation were, in decreasing order of area under the ROC curves, a tumour-to-liver (T/L) ratio >2.5, SUVmax > 4.5, total lesion glycolysis (TLG) > 377, total metabolic tumour volume (TMTV) > 88 cm3, and heterogeneity index (HIsuv) > 1.69. The best prognostic marker was the TLG: the 4-y estimates of survival were 97% [95% CI, 90% - 100%] in patients with TLG ≤ 377 vs. 27% [95% CI, 5% - 49%] in patients with TLG > 377 (P < 0.0001; χ2 27.85; hazard ratio 13.27 [95% CI, 3.72-47.35]). T/L ratio, SUVmax and TMTV demonstrated slightly lower performance to predict survival, with χ2 ranging 14.41-19.12. The HIsuv index was not predictive of survival. CONCLUSION:Our study demonstrates that TLG and TMTV, as PET/CT measures of metabolic tumour burden, may be used clinically to identify sarcomatous transformation in patients with NF1 and predict overall survival, with a higher specificity for the TLG. Conventional measures such as the SUVmax, and T/L ratio also demonstrate high prognostic value.http://europepmc.org/articles/PMC4795780?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Axel Van Der Gucht
Ouidad Zehou
Soraya Djelbani-Ahmed
Laurence Valeyrie-Allanore
Nicolas Ortonne
Pierre Brugières
Pierre Wolkenstein
Alain Luciani
Alain Rahmouni
Emilie Sbidian
Emmanuel Itti
spellingShingle Axel Van Der Gucht
Ouidad Zehou
Soraya Djelbani-Ahmed
Laurence Valeyrie-Allanore
Nicolas Ortonne
Pierre Brugières
Pierre Wolkenstein
Alain Luciani
Alain Rahmouni
Emilie Sbidian
Emmanuel Itti
Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.
PLoS ONE
author_facet Axel Van Der Gucht
Ouidad Zehou
Soraya Djelbani-Ahmed
Laurence Valeyrie-Allanore
Nicolas Ortonne
Pierre Brugières
Pierre Wolkenstein
Alain Luciani
Alain Rahmouni
Emilie Sbidian
Emmanuel Itti
author_sort Axel Van Der Gucht
title Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.
title_short Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.
title_full Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.
title_fullStr Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.
title_full_unstemmed Metabolic Tumour Burden Measured by 18F-FDG PET/CT Predicts Malignant Transformation in Patients with Neurofibromatosis Type-1.
title_sort metabolic tumour burden measured by 18f-fdg pet/ct predicts malignant transformation in patients with neurofibromatosis type-1.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description BACKGROUND:To investigate the diagnostic and prognostic performances of 18F-FDG PET/CT measures of metabolic tumour burden in patients with neurofibromatosis type-1 (NF1), suspect of malignant transformation. METHODS:This retrospective study included 49 patients (15-60 years old, 30 women) with a diagnosis of NF1, followed in our Reference Centre for Rare Neuromuscular Diseases, who presented clinical signs of tumour progression (pain, neurological deficit, tumour growth). Quantitative metabolic parameters were measured on 149 tumoral targets, using semi-automatic software and the best cut off values to predict transformation was assessed by Receiver Operating Characteristics (ROC) analysis. Prognostic value of PET/CT metabolic parameters was assessed by Kaplan-Meier estimates of overall survival. RESULTS:Lesions were histologically documented in 40 patients: a sarcomatous transformation was found in 16, a dysplastic neurofibroma (NF) in 7, and a benign NF in 17; in the remaining 9 patients, a minimal follow-up of 12 mo (median 59 mo) confirmed the absence of transformation. The optimal cut off values for detection of malignant transformation were, in decreasing order of area under the ROC curves, a tumour-to-liver (T/L) ratio >2.5, SUVmax > 4.5, total lesion glycolysis (TLG) > 377, total metabolic tumour volume (TMTV) > 88 cm3, and heterogeneity index (HIsuv) > 1.69. The best prognostic marker was the TLG: the 4-y estimates of survival were 97% [95% CI, 90% - 100%] in patients with TLG ≤ 377 vs. 27% [95% CI, 5% - 49%] in patients with TLG > 377 (P < 0.0001; χ2 27.85; hazard ratio 13.27 [95% CI, 3.72-47.35]). T/L ratio, SUVmax and TMTV demonstrated slightly lower performance to predict survival, with χ2 ranging 14.41-19.12. The HIsuv index was not predictive of survival. CONCLUSION:Our study demonstrates that TLG and TMTV, as PET/CT measures of metabolic tumour burden, may be used clinically to identify sarcomatous transformation in patients with NF1 and predict overall survival, with a higher specificity for the TLG. Conventional measures such as the SUVmax, and T/L ratio also demonstrate high prognostic value.
url http://europepmc.org/articles/PMC4795780?pdf=render
work_keys_str_mv AT axelvandergucht metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT ouidadzehou metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT sorayadjelbaniahmed metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT laurencevaleyrieallanore metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT nicolasortonne metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT pierrebrugieres metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT pierrewolkenstein metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT alainluciani metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT alainrahmouni metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT emiliesbidian metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
AT emmanuelitti metabolictumourburdenmeasuredby18ffdgpetctpredictsmalignanttransformationinpatientswithneurofibromatosistype1
_version_ 1725895046918569984