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...
Main Authors: | , , , , , , , , , , |
---|---|
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 |