Cargando…

Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors

BACKGROUND: Pediatric retroperitoneal tumors in the renal bed are often large and heterogeneous, and their diagnosis based on conventional imaging alone is not possible. More advanced imaging methods, such as diffusion‐weighted (DW) MRI and the use of intravoxel incoherent motion (IVIM), have the po...

Descripción completa

Detalles Bibliográficos
Autores principales: Meeus, Emma M., Zarinabad, Niloufar, Manias, Karen A., Novak, Jan, Rose, Heather E.L., Dehghani, Hamid, Foster, Katharine, Morland, Bruce, Peet, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001424/
https://www.ncbi.nlm.nih.gov/pubmed/29159937
http://dx.doi.org/10.1002/jmri.25901
_version_ 1783331998052384768
author Meeus, Emma M.
Zarinabad, Niloufar
Manias, Karen A.
Novak, Jan
Rose, Heather E.L.
Dehghani, Hamid
Foster, Katharine
Morland, Bruce
Peet, Andrew C.
author_facet Meeus, Emma M.
Zarinabad, Niloufar
Manias, Karen A.
Novak, Jan
Rose, Heather E.L.
Dehghani, Hamid
Foster, Katharine
Morland, Bruce
Peet, Andrew C.
author_sort Meeus, Emma M.
collection PubMed
description BACKGROUND: Pediatric retroperitoneal tumors in the renal bed are often large and heterogeneous, and their diagnosis based on conventional imaging alone is not possible. More advanced imaging methods, such as diffusion‐weighted (DW) MRI and the use of intravoxel incoherent motion (IVIM), have the potential to provide additional biomarkers that could facilitate their noninvasive diagnosis. PURPOSE: To assess the use of an IVIM model for diagnosis of childhood malignant abdominal tumors and discrimination of benign from malignant lesions. STUDY TYPE: Retrospective. POPULATION: Forty‐two pediatric patients with abdominal lesions (n = 32 malignant, n = 10 benign), verified by histopathology. FIELD STRENGTH/SEQUENCE: 1.5T MRI system and a DW‐MRI sequence with six b‐values (0, 50, 100, 150, 600, 1000 s/mm(2)). ASSESSMENT: Parameter maps of apparent diffusion coefficient (ADC), and IVIM maps of slow diffusion coefficient (D), fast diffusion coefficient (D*), and perfusion fraction (f) were computed using a segmented fitting model. Histograms were constructed for whole‐tumor regions of each parameter. STATISTICAL TESTS: Comparison of histogram parameters of and their diagnostic performance was determined using Kruskal–Wallis, Mann–Whitney U, and receiver‐operating characteristic (ROC) analysis. RESULTS: IVIM parameters D* and f were significantly higher in neuroblastoma compared to Wilms' tumors (P < 0.05). The ROC analysis showed that the best diagnostic performance was achieved with D* 90(th) percentile (area under the curve [AUC] = 0.935; P = 0.002; cutoff value = 32,376 × 10(−6) mm(2)/s) and f mean values (AUC = 1.00; P < 0.001; cutoff value = 14.7) in discriminating between neuroblastoma (n = 11) and Wilms' tumors (n = 8). Discrimination between tumor types was not possible with IVIM D or ADC parameters. Malignant tumors revealed significantly lower ADC, D, and higher D* values than in benign lesions (all P < 0.05). DATA CONCLUSION: IVIM perfusion parameters could distinguish between malignant childhood tumor types, providing potential imaging biomarkers for their diagnosis. Level of Evidence: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1475–1486.
format Online
Article
Text
id pubmed-6001424
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-60014242018-06-21 Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors Meeus, Emma M. Zarinabad, Niloufar Manias, Karen A. Novak, Jan Rose, Heather E.L. Dehghani, Hamid Foster, Katharine Morland, Bruce Peet, Andrew C. J Magn Reson Imaging Original Research BACKGROUND: Pediatric retroperitoneal tumors in the renal bed are often large and heterogeneous, and their diagnosis based on conventional imaging alone is not possible. More advanced imaging methods, such as diffusion‐weighted (DW) MRI and the use of intravoxel incoherent motion (IVIM), have the potential to provide additional biomarkers that could facilitate their noninvasive diagnosis. PURPOSE: To assess the use of an IVIM model for diagnosis of childhood malignant abdominal tumors and discrimination of benign from malignant lesions. STUDY TYPE: Retrospective. POPULATION: Forty‐two pediatric patients with abdominal lesions (n = 32 malignant, n = 10 benign), verified by histopathology. FIELD STRENGTH/SEQUENCE: 1.5T MRI system and a DW‐MRI sequence with six b‐values (0, 50, 100, 150, 600, 1000 s/mm(2)). ASSESSMENT: Parameter maps of apparent diffusion coefficient (ADC), and IVIM maps of slow diffusion coefficient (D), fast diffusion coefficient (D*), and perfusion fraction (f) were computed using a segmented fitting model. Histograms were constructed for whole‐tumor regions of each parameter. STATISTICAL TESTS: Comparison of histogram parameters of and their diagnostic performance was determined using Kruskal–Wallis, Mann–Whitney U, and receiver‐operating characteristic (ROC) analysis. RESULTS: IVIM parameters D* and f were significantly higher in neuroblastoma compared to Wilms' tumors (P < 0.05). The ROC analysis showed that the best diagnostic performance was achieved with D* 90(th) percentile (area under the curve [AUC] = 0.935; P = 0.002; cutoff value = 32,376 × 10(−6) mm(2)/s) and f mean values (AUC = 1.00; P < 0.001; cutoff value = 14.7) in discriminating between neuroblastoma (n = 11) and Wilms' tumors (n = 8). Discrimination between tumor types was not possible with IVIM D or ADC parameters. Malignant tumors revealed significantly lower ADC, D, and higher D* values than in benign lesions (all P < 0.05). DATA CONCLUSION: IVIM perfusion parameters could distinguish between malignant childhood tumor types, providing potential imaging biomarkers for their diagnosis. Level of Evidence: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1475–1486. John Wiley and Sons Inc. 2017-11-21 2018-06 /pmc/articles/PMC6001424/ /pubmed/29159937 http://dx.doi.org/10.1002/jmri.25901 Text en © 2017 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Meeus, Emma M.
Zarinabad, Niloufar
Manias, Karen A.
Novak, Jan
Rose, Heather E.L.
Dehghani, Hamid
Foster, Katharine
Morland, Bruce
Peet, Andrew C.
Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
title Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
title_full Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
title_fullStr Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
title_full_unstemmed Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
title_short Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
title_sort diffusion‐weighted mri and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001424/
https://www.ncbi.nlm.nih.gov/pubmed/29159937
http://dx.doi.org/10.1002/jmri.25901
work_keys_str_mv AT meeusemmam diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT zarinabadniloufar diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT maniaskarena diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT novakjan diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT roseheatherel diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT dehghanihamid diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT fosterkatharine diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT morlandbruce diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors
AT peetandrewc diffusionweightedmriandintravoxelincoherentmotionmodelfordiagnosisofpediatricsolidabdominaltumors