Cargando…

Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions

BACKGROUND: To evaluate simplified intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for differentiating malignant versus benign breast lesions as (i) stand-alone tool and (ii) add-on to dynamic contrast-enhanced magnetic resonance imaging. METHODS: 1.5-T DWI data (b = 0, 50, 250,...

Descripción completa

Detalles Bibliográficos
Autores principales: Mürtz, Petra, Tsesarskiy, Mark, Sprinkart, Alois M., Block, Wolfgang, Savchenko, Oleksandr, Luetkens, Julian A., Attenberger, Ulrike, Pieper, Claus C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519819/
https://www.ncbi.nlm.nih.gov/pubmed/36171532
http://dx.doi.org/10.1186/s41747-022-00298-6
_version_ 1784799484034678784
author Mürtz, Petra
Tsesarskiy, Mark
Sprinkart, Alois M.
Block, Wolfgang
Savchenko, Oleksandr
Luetkens, Julian A.
Attenberger, Ulrike
Pieper, Claus C.
author_facet Mürtz, Petra
Tsesarskiy, Mark
Sprinkart, Alois M.
Block, Wolfgang
Savchenko, Oleksandr
Luetkens, Julian A.
Attenberger, Ulrike
Pieper, Claus C.
author_sort Mürtz, Petra
collection PubMed
description BACKGROUND: To evaluate simplified intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for differentiating malignant versus benign breast lesions as (i) stand-alone tool and (ii) add-on to dynamic contrast-enhanced magnetic resonance imaging. METHODS: 1.5-T DWI data (b = 0, 50, 250, 800 s/mm(2)) were retrospectively analysed for 126 patients with malignant or benign breast lesions. Apparent diffusion coefficient (ADC) ADC (0, 800) and IVIM-based parameters D(1)′ = ADC (50, 800), D(2)′ = ADC (250, 800), f(1)′ = f (0, 50, 800), f(2)′ = f (0, 250, 800) and D*′ = D* (0, 50, 250, 800) were voxel-wise calculated without fitting procedures. Regions of interest were analysed in vital tumour and perfusion hot spots. Beside the single parameters, the combined use of D(1)′ with f(1)′ and D(2)′ with f(2)′ was evaluated. Lesion differentiation was investigated for lesions (i) with hyperintensity on DWI with b = 800 s/mm(2) (n = 191) and (ii) with suspicious contrast-enhancement (n = 135). RESULTS: All lesions with suspicious contrast-enhancement appeared also hyperintense on DWI with b = 800 s/mm(2). For task (i), best discrimination was reached for the combination of D(1)′ and f(1)′ using perfusion hot spot regions-of-interest (accuracy 93.7%), which was higher than that of ADC (86.9%, p = 0.003) and single IVIM parameters D(1)′ (88.0%) and f(1)′ (87.4%). For task (ii), best discrimination was reached for single parameter D(1)′ using perfusion hot spot regions-of-interest (92.6%), which were slightly but not significantly better than that of ADC (91.1%) and D(2)′ (88.1%). Adding f(1)′ to D(1)′ did not improve discrimination. CONCLUSIONS: IVIM analysis yielded a higher accuracy than ADC. If stand-alone DWI is used, perfusion analysis is of special relevance.
format Online
Article
Text
id pubmed-9519819
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Vienna
record_format MEDLINE/PubMed
spelling pubmed-95198192022-09-30 Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions Mürtz, Petra Tsesarskiy, Mark Sprinkart, Alois M. Block, Wolfgang Savchenko, Oleksandr Luetkens, Julian A. Attenberger, Ulrike Pieper, Claus C. Eur Radiol Exp Original Article BACKGROUND: To evaluate simplified intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for differentiating malignant versus benign breast lesions as (i) stand-alone tool and (ii) add-on to dynamic contrast-enhanced magnetic resonance imaging. METHODS: 1.5-T DWI data (b = 0, 50, 250, 800 s/mm(2)) were retrospectively analysed for 126 patients with malignant or benign breast lesions. Apparent diffusion coefficient (ADC) ADC (0, 800) and IVIM-based parameters D(1)′ = ADC (50, 800), D(2)′ = ADC (250, 800), f(1)′ = f (0, 50, 800), f(2)′ = f (0, 250, 800) and D*′ = D* (0, 50, 250, 800) were voxel-wise calculated without fitting procedures. Regions of interest were analysed in vital tumour and perfusion hot spots. Beside the single parameters, the combined use of D(1)′ with f(1)′ and D(2)′ with f(2)′ was evaluated. Lesion differentiation was investigated for lesions (i) with hyperintensity on DWI with b = 800 s/mm(2) (n = 191) and (ii) with suspicious contrast-enhancement (n = 135). RESULTS: All lesions with suspicious contrast-enhancement appeared also hyperintense on DWI with b = 800 s/mm(2). For task (i), best discrimination was reached for the combination of D(1)′ and f(1)′ using perfusion hot spot regions-of-interest (accuracy 93.7%), which was higher than that of ADC (86.9%, p = 0.003) and single IVIM parameters D(1)′ (88.0%) and f(1)′ (87.4%). For task (ii), best discrimination was reached for single parameter D(1)′ using perfusion hot spot regions-of-interest (92.6%), which were slightly but not significantly better than that of ADC (91.1%) and D(2)′ (88.1%). Adding f(1)′ to D(1)′ did not improve discrimination. CONCLUSIONS: IVIM analysis yielded a higher accuracy than ADC. If stand-alone DWI is used, perfusion analysis is of special relevance. Springer Vienna 2022-09-29 /pmc/articles/PMC9519819/ /pubmed/36171532 http://dx.doi.org/10.1186/s41747-022-00298-6 Text en © The Author(s) under exclusive licence to European Society of Radiology 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Mürtz, Petra
Tsesarskiy, Mark
Sprinkart, Alois M.
Block, Wolfgang
Savchenko, Oleksandr
Luetkens, Julian A.
Attenberger, Ulrike
Pieper, Claus C.
Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
title Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
title_full Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
title_fullStr Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
title_full_unstemmed Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
title_short Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions
title_sort simplified intravoxel incoherent motion dwi for differentiating malignant from benign breast lesions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519819/
https://www.ncbi.nlm.nih.gov/pubmed/36171532
http://dx.doi.org/10.1186/s41747-022-00298-6
work_keys_str_mv AT murtzpetra simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT tsesarskiymark simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT sprinkartaloism simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT blockwolfgang simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT savchenkooleksandr simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT luetkensjuliana simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT attenbergerulrike simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions
AT pieperclausc simplifiedintravoxelincoherentmotiondwifordifferentiatingmalignantfrombenignbreastlesions