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In vivo DCE-MRI for the discrimination between glioblastoma and radiation necrosis in rats

Julie Bolcaen, Benedicte Descamps UGent, Marjan Acou UGent, Karel Deblaere UGent, Caroline Van den Broecke UGent, Tom Boterberg UGent, Christian Vanhove UGent and Ingeborg Goethals UGent (2017) MOLECULAR IMAGING AND BIOLOGY. 19(6). p.857-866
abstract
In this study, the potential of semiquantitative and quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) was investigated to differentiate glioblastoma (GB) from radiation necrosis (RN) in rats. F98 GB growth was seen on MRI 8-23 days post-inoculation (n = 15). RN lesions developed 6-8 months post-irradiation (n = 10). DCE-MRI was acquired using a fast low-angle shot (FLASH) sequence. Regions of interest (ROIs) encompassed peripheral contrast enhancement in GB (n = 15) and RN (n = 10) as well as central necrosis within these lesions (GB (n = 4), RN (n = 3)). Dynamic contrast-enhanced time series, obtained from the DCE-MRI data, were fitted to determine four function variables (amplitude A, offset from zero C, wash-in rate k, and wash-out rate D) as well as maximal intensity (Imax(F)) and time to peak (TTPF). Secondly, maps of semiquantitative and quantitative parameters (extended Tofts model) were created using Olea Sphere ((O)). Semiquantitative DCE-MRI parameters included wash-in(O), wash-out(O), area under the curve (AUC(O)), maximal intensity (Imax(O)), and time to peak (TTPO). Quantitative parameters included the rate constant plasma to extravascular-extracellular space (EES) (K (trans)), the rate constant EES to plasma (K (ep)), plasma volume (V (p)), and EES volume (V (e)). All (semi)quantitative parameters were compared between GB and RN using the Mann-Whitney U test. ROC analysis was performed. Wash-in rate (k) and wash-out rate (D) were significantly higher in GB compared to RN using curve fitting (p = 0.016 and p = 0.014). TTPF and TTPO were significantly lower in GB compared to RN (p = 0.001 and p = 0.005, respectively). The highest sensitivity (87 %) and specificity (80 %) were obtained for TTPF by applying a threshold of 581 s. K (trans), K (ep), and V (e) were not significantly different between GB and RN. A trend towards higher V (p) values was found in GB compared to RN, indicating angiogenesis in GB (p = 0.075). Based on our results, in a rat model of GB and RN, wash-in rate, wash-out rate, and the time to peak extracted from DCE-MRI time series data may be useful to discriminate GB from RN.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DCE-MRI, Glioblastoma, Radiation necrosis, Rat model, RECURRENT BRAIN-TUMOR, HIGH-GRADE GLIOMAS, POSITRON-EMISSION-TOMOGRAPHY, PERFUSION MRI, C-11-METHIONINE PET, RESPONSE ASSESSMENT, MALIGNANT GLIOMAS, DIFFERENTIATION, DIFFUSION, DIAGNOSIS
journal title
MOLECULAR IMAGING AND BIOLOGY
Mol. Imaging. Biol.
volume
19
issue
6
pages
857 - 866
Web of Science type
Article
Web of Science id
000414209700008
ISSN
1536-1632
1860-2002
DOI
10.1007/s11307-017-1071-0
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8514797
handle
http://hdl.handle.net/1854/LU-8514797
date created
2017-03-20 08:10:27
date last changed
2018-03-19 11:08:47
@article{8514797,
  abstract     = {In this study, the potential of semiquantitative and quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) was investigated to differentiate glioblastoma (GB) from radiation necrosis (RN) in rats. 
F98 GB growth was seen on MRI 8-23 days post-inoculation (n = 15). RN lesions developed 6-8 months post-irradiation (n = 10). DCE-MRI was acquired using a fast low-angle shot (FLASH) sequence. Regions of interest (ROIs) encompassed peripheral contrast enhancement in GB (n = 15) and RN (n = 10) as well as central necrosis within these lesions (GB (n = 4), RN (n = 3)). Dynamic contrast-enhanced time series, obtained from the DCE-MRI data, were fitted to determine four function variables (amplitude A, offset from zero C, wash-in rate k, and wash-out rate D) as well as maximal intensity (Imax(F)) and time to peak (TTPF). Secondly, maps of semiquantitative and quantitative parameters (extended Tofts model) were created using Olea Sphere ((O)). Semiquantitative DCE-MRI parameters included wash-in(O), wash-out(O), area under the curve (AUC(O)), maximal intensity (Imax(O)), and time to peak (TTPO). Quantitative parameters included the rate constant plasma to extravascular-extracellular space (EES) (K (trans)), the rate constant EES to plasma (K (ep)), plasma volume (V (p)), and EES volume (V (e)). All (semi)quantitative parameters were compared between GB and RN using the Mann-Whitney U test. ROC analysis was performed. 
Wash-in rate (k) and wash-out rate (D) were significantly higher in GB compared to RN using curve fitting (p = 0.016 and p = 0.014). TTPF and TTPO were significantly lower in GB compared to RN (p = 0.001 and p = 0.005, respectively). The highest sensitivity (87 \%) and specificity (80 \%) were obtained for TTPF by applying a threshold of 581 s. K (trans), K (ep), and V (e) were not significantly different between GB and RN. A trend towards higher V (p) values was found in GB compared to RN, indicating angiogenesis in GB (p = 0.075). 
Based on our results, in a rat model of GB and RN, wash-in rate, wash-out rate, and the time to peak extracted from DCE-MRI time series data may be useful to discriminate GB from RN.},
  author       = {Bolcaen, Julie and Descamps, Benedicte and Acou, Marjan and Deblaere, Karel and Van den Broecke, Caroline and Boterberg, Tom and Vanhove, Christian and Goethals, Ingeborg},
  issn         = {1536-1632},
  journal      = {MOLECULAR IMAGING AND BIOLOGY},
  keyword      = {DCE-MRI,Glioblastoma,Radiation necrosis,Rat model,RECURRENT BRAIN-TUMOR,HIGH-GRADE GLIOMAS,POSITRON-EMISSION-TOMOGRAPHY,PERFUSION MRI,C-11-METHIONINE PET,RESPONSE ASSESSMENT,MALIGNANT GLIOMAS,DIFFERENTIATION,DIFFUSION,DIAGNOSIS},
  language     = {eng},
  number       = {6},
  pages        = {857--866},
  title        = {In vivo DCE-MRI for the discrimination between glioblastoma and radiation necrosis in rats},
  url          = {http://dx.doi.org/10.1007/s11307-017-1071-0},
  volume       = {19},
  year         = {2017},
}

Chicago
Bolcaen, Julie, Benedicte Descamps, Marjan Acou, Karel Deblaere, Caroline Van den Broecke, Tom Boterberg, Christian Vanhove, and Ingeborg Goethals. 2017. “In Vivo DCE-MRI for the Discrimination Between Glioblastoma and Radiation Necrosis in Rats.” Molecular Imaging and Biology 19 (6): 857–866.
APA
Bolcaen, J., Descamps, B., Acou, M., Deblaere, K., Van den Broecke, C., Boterberg, T., Vanhove, C., et al. (2017). In vivo DCE-MRI for the discrimination between glioblastoma and radiation necrosis in rats. MOLECULAR IMAGING AND BIOLOGY, 19(6), 857–866.
Vancouver
1.
Bolcaen J, Descamps B, Acou M, Deblaere K, Van den Broecke C, Boterberg T, et al. In vivo DCE-MRI for the discrimination between glioblastoma and radiation necrosis in rats. MOLECULAR IMAGING AND BIOLOGY. 2017;19(6):857–66.
MLA
Bolcaen, Julie, Benedicte Descamps, Marjan Acou, et al. “In Vivo DCE-MRI for the Discrimination Between Glioblastoma and Radiation Necrosis in Rats.” MOLECULAR IMAGING AND BIOLOGY 19.6 (2017): 857–866. Print.