Cargando…

Multiexponential T2 relaxometry of benign and malignant adipocytic tumours

BACKGROUND: We investigated a recently proposed multiexponential (Mexp) fitting method applied to T2 relaxometry magnetic resonance imaging (MRI) data of benign and malignant adipocytic tumours and healthy subcutaneous fat. We studied the T2 distributions of the different tissue types and calculated...

Descripción completa

Detalles Bibliográficos
Autores principales: Nikiforaki, Katerina, Ioannidis, Georgios S., Lagoudaki, Eleni, Manikis, Georgios H., de Bree, Eelco, Karantanas, Apostolos, Maris, Thomas G., Marias, Kostas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396415/
https://www.ncbi.nlm.nih.gov/pubmed/32743728
http://dx.doi.org/10.1186/s41747-020-00175-0
_version_ 1783565578345119744
author Nikiforaki, Katerina
Ioannidis, Georgios S.
Lagoudaki, Eleni
Manikis, Georgios H.
de Bree, Eelco
Karantanas, Apostolos
Maris, Thomas G.
Marias, Kostas
author_facet Nikiforaki, Katerina
Ioannidis, Georgios S.
Lagoudaki, Eleni
Manikis, Georgios H.
de Bree, Eelco
Karantanas, Apostolos
Maris, Thomas G.
Marias, Kostas
author_sort Nikiforaki, Katerina
collection PubMed
description BACKGROUND: We investigated a recently proposed multiexponential (Mexp) fitting method applied to T2 relaxometry magnetic resonance imaging (MRI) data of benign and malignant adipocytic tumours and healthy subcutaneous fat. We studied the T2 distributions of the different tissue types and calculated statistical metrics to differentiate benign and malignant tumours. METHODS: Twenty-four patients with primary benign and malignant adipocytic tumours prospectively underwent 1.5-T MRI with a single-slice T2 relaxometry (Carr-Purcell-Meiboom-Gill sequence, 25 echoes) prior to surgical excision and histopathological assessment. The proposed method adaptively chooses a monoexponential or biexponential model on a voxel basis based on the adjusted R(2) goodness of fit criterion. Linear regression was applied on the statistical metrics derived from the T2 distributions for the classification. RESULTS: Healthy subcutaneous fat and benign lipoma were better described by biexponential fitting with a monoexponential and biexponential prevalence of 0.0/100% and 0.2/99.8% respectively. Well-differentiated liposarcomas exhibit 17.6% monoexponential and 82.4% biexponential behaviour, while more aggressive liposarcomas show larger degree of monoexponential behaviour. The monoexponential/biexponential prevalence was 47.6/52.4% for myxoid tumours, 52.8/47.2% for poorly differentiated parts of dedifferentiated liposarcomas, and 24.9/75.1% pleomorphic liposarcomas. The percentage monoexponential or biexponential model prevalence per patient was the best classifier distinguishing between malignant and benign adipocytic tumours with a 0.81 sensitivity and a 1.00 specificity. CONCLUSIONS: Healthy adipose tissue and benign lipomas showed a pure biexponential behaviour with similar T2 distributions, while decreased adipocytic cell differentiation characterising aggressive neoplasms was associated with an increased rate of monoexponential decay curves, opening a perspective adipocytic tumour classification.
format Online
Article
Text
id pubmed-7396415
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-73964152020-08-13 Multiexponential T2 relaxometry of benign and malignant adipocytic tumours Nikiforaki, Katerina Ioannidis, Georgios S. Lagoudaki, Eleni Manikis, Georgios H. de Bree, Eelco Karantanas, Apostolos Maris, Thomas G. Marias, Kostas Eur Radiol Exp Original Article BACKGROUND: We investigated a recently proposed multiexponential (Mexp) fitting method applied to T2 relaxometry magnetic resonance imaging (MRI) data of benign and malignant adipocytic tumours and healthy subcutaneous fat. We studied the T2 distributions of the different tissue types and calculated statistical metrics to differentiate benign and malignant tumours. METHODS: Twenty-four patients with primary benign and malignant adipocytic tumours prospectively underwent 1.5-T MRI with a single-slice T2 relaxometry (Carr-Purcell-Meiboom-Gill sequence, 25 echoes) prior to surgical excision and histopathological assessment. The proposed method adaptively chooses a monoexponential or biexponential model on a voxel basis based on the adjusted R(2) goodness of fit criterion. Linear regression was applied on the statistical metrics derived from the T2 distributions for the classification. RESULTS: Healthy subcutaneous fat and benign lipoma were better described by biexponential fitting with a monoexponential and biexponential prevalence of 0.0/100% and 0.2/99.8% respectively. Well-differentiated liposarcomas exhibit 17.6% monoexponential and 82.4% biexponential behaviour, while more aggressive liposarcomas show larger degree of monoexponential behaviour. The monoexponential/biexponential prevalence was 47.6/52.4% for myxoid tumours, 52.8/47.2% for poorly differentiated parts of dedifferentiated liposarcomas, and 24.9/75.1% pleomorphic liposarcomas. The percentage monoexponential or biexponential model prevalence per patient was the best classifier distinguishing between malignant and benign adipocytic tumours with a 0.81 sensitivity and a 1.00 specificity. CONCLUSIONS: Healthy adipose tissue and benign lipomas showed a pure biexponential behaviour with similar T2 distributions, while decreased adipocytic cell differentiation characterising aggressive neoplasms was associated with an increased rate of monoexponential decay curves, opening a perspective adipocytic tumour classification. Springer International Publishing 2020-08-03 /pmc/articles/PMC7396415/ /pubmed/32743728 http://dx.doi.org/10.1186/s41747-020-00175-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Nikiforaki, Katerina
Ioannidis, Georgios S.
Lagoudaki, Eleni
Manikis, Georgios H.
de Bree, Eelco
Karantanas, Apostolos
Maris, Thomas G.
Marias, Kostas
Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
title Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
title_full Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
title_fullStr Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
title_full_unstemmed Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
title_short Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
title_sort multiexponential t2 relaxometry of benign and malignant adipocytic tumours
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396415/
https://www.ncbi.nlm.nih.gov/pubmed/32743728
http://dx.doi.org/10.1186/s41747-020-00175-0
work_keys_str_mv AT nikiforakikaterina multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT ioannidisgeorgioss multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT lagoudakieleni multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT manikisgeorgiosh multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT debreeeelco multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT karantanasapostolos multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT maristhomasg multiexponentialt2relaxometryofbenignandmalignantadipocytictumours
AT mariaskostas multiexponentialt2relaxometryofbenignandmalignantadipocytictumours