Cargando…
IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS
OBJECTIVES: Evaluation of post-treatment glioma burden remains a significant challenge in children, teenagers and young adults (TYA). The aim of this study was to evaluate the utility of ChoPET/MRI for evaluation of suspected disease progression in childhood and TYA gliomas. METHODS: 27 patients (me...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715096/ http://dx.doi.org/10.1093/neuonc/noaa222.353 |
_version_ | 1783618874079444992 |
---|---|
author | Ferrazzoli, Valentina Shankar, Ananth Cockle, Julia Tang, Christine Al-khayfawee, Ahmed Thomas, Benjamin Barnes, Anna Bomanji, Jamshed Fraioli, Francesco Hyare, Harpreet |
author_facet | Ferrazzoli, Valentina Shankar, Ananth Cockle, Julia Tang, Christine Al-khayfawee, Ahmed Thomas, Benjamin Barnes, Anna Bomanji, Jamshed Fraioli, Francesco Hyare, Harpreet |
author_sort | Ferrazzoli, Valentina |
collection | PubMed |
description | OBJECTIVES: Evaluation of post-treatment glioma burden remains a significant challenge in children, teenagers and young adults (TYA). The aim of this study was to evaluate the utility of ChoPET/MRI for evaluation of suspected disease progression in childhood and TYA gliomas. METHODS: 27 patients (mean age 14 years, range 6–21 years) with suspected glioma disease progression were evaluated with ChoPET/MRI (n=59). Relative cerebral blood volume (rCBV), apparent diffusion coefficient (ADC) and maximum standardised uptake values (SUV(max)) in enhancing (enh) and non-enhancing (ne) tumour and normal-appearing white matter (wm) were calculated (rCBV(enh), rCBV(ne), rCBV(wm), ADC(enh), ADC(ne), ADC(wm), SUV(enh), SUV(ne), SUV(wm)). 2 blinded radiologists scored tumour probability (1 = unlikely; 5 = definitely). Sensitivity and specificity calculated with gold standard histopathology or clinical follow-up. RESULTS: Accuracy for the detection of residual/recurrent tumour on conventional MRI was 96.3% (91.7% ≤14 years, 100% ≥15 years) and ChoPET was 73.1% (66.7% ≤14 years, 80.0% ≥15 years). Lack of agreement was observed in 9/27 patients, with ChoPET superior to MRI in 1 case of a posterior fossa tumour. Tumour component analysis demonstrated significantly higher SUV(enh) and SUV(ne) than SUV(wm) (SUV(enh): p<0.001; SUV(ne): p=0.004, equivalent to results were observed for ADV and rCBV (ADC(enh), ADC(ne): p<0.001 vs ADC(wm); rCBV(enh), rCBV(ne): p<0.001 vs rCBV(wm)). CONCLUSIONS: MRI is more sensitive than ChoPET in the evaluation of suspected disease progression in TYA gliomas. However, quanititative ChoPET is able to detect enhancing and non-enhancing tumour and may be helpful in evaluating posterior fossa disease where MRI is equivocal. |
format | Online Article Text |
id | pubmed-7715096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77150962020-12-09 IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS Ferrazzoli, Valentina Shankar, Ananth Cockle, Julia Tang, Christine Al-khayfawee, Ahmed Thomas, Benjamin Barnes, Anna Bomanji, Jamshed Fraioli, Francesco Hyare, Harpreet Neuro Oncol Imaging OBJECTIVES: Evaluation of post-treatment glioma burden remains a significant challenge in children, teenagers and young adults (TYA). The aim of this study was to evaluate the utility of ChoPET/MRI for evaluation of suspected disease progression in childhood and TYA gliomas. METHODS: 27 patients (mean age 14 years, range 6–21 years) with suspected glioma disease progression were evaluated with ChoPET/MRI (n=59). Relative cerebral blood volume (rCBV), apparent diffusion coefficient (ADC) and maximum standardised uptake values (SUV(max)) in enhancing (enh) and non-enhancing (ne) tumour and normal-appearing white matter (wm) were calculated (rCBV(enh), rCBV(ne), rCBV(wm), ADC(enh), ADC(ne), ADC(wm), SUV(enh), SUV(ne), SUV(wm)). 2 blinded radiologists scored tumour probability (1 = unlikely; 5 = definitely). Sensitivity and specificity calculated with gold standard histopathology or clinical follow-up. RESULTS: Accuracy for the detection of residual/recurrent tumour on conventional MRI was 96.3% (91.7% ≤14 years, 100% ≥15 years) and ChoPET was 73.1% (66.7% ≤14 years, 80.0% ≥15 years). Lack of agreement was observed in 9/27 patients, with ChoPET superior to MRI in 1 case of a posterior fossa tumour. Tumour component analysis demonstrated significantly higher SUV(enh) and SUV(ne) than SUV(wm) (SUV(enh): p<0.001; SUV(ne): p=0.004, equivalent to results were observed for ADV and rCBV (ADC(enh), ADC(ne): p<0.001 vs ADC(wm); rCBV(enh), rCBV(ne): p<0.001 vs rCBV(wm)). CONCLUSIONS: MRI is more sensitive than ChoPET in the evaluation of suspected disease progression in TYA gliomas. However, quanititative ChoPET is able to detect enhancing and non-enhancing tumour and may be helpful in evaluating posterior fossa disease where MRI is equivocal. Oxford University Press 2020-12-04 /pmc/articles/PMC7715096/ http://dx.doi.org/10.1093/neuonc/noaa222.353 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Imaging Ferrazzoli, Valentina Shankar, Ananth Cockle, Julia Tang, Christine Al-khayfawee, Ahmed Thomas, Benjamin Barnes, Anna Bomanji, Jamshed Fraioli, Francesco Hyare, Harpreet IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS |
title | IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS |
title_full | IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS |
title_fullStr | IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS |
title_full_unstemmed | IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS |
title_short | IMG-18. ASSESSMENT OF SUSPECTED DISEASE PROGRESSION USING MULTIPARAMETRIC 18F-CHOLINE PET/MRI IN CHILDHOOD AND TEENAGE-YOUNG ADULT GLIOMAS |
title_sort | img-18. assessment of suspected disease progression using multiparametric 18f-choline pet/mri in childhood and teenage-young adult gliomas |
topic | Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715096/ http://dx.doi.org/10.1093/neuonc/noaa222.353 |
work_keys_str_mv | AT ferrazzolivalentina img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT shankarananth img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT cocklejulia img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT tangchristine img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT alkhayfaweeahmed img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT thomasbenjamin img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT barnesanna img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT bomanjijamshed img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT fraiolifrancesco img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas AT hyareharpreet img18assessmentofsuspecteddiseaseprogressionusingmultiparametric18fcholinepetmriinchildhoodandteenageyoungadultgliomas |