Differentiation between glioblastoma and solitary brain metastases using perfusion and amide proton transfer weighted MRI
(2025) In Frontiers in Neuroscience 19. p.01-09- Abstract
OBJECTIVES: Early diagnostic separation between glioblastoma (GBM) and solitary metastases (MET) is important for patient management but remains challenging when based on imaging only. The objective of this study was to assess whether amide proton transfer weighted (APTw) MRI alone or combined with dynamic susceptibility contrast (DSC) MRI parameters, including cerebral blood volume (CBV), cerebral blood flow (CBF), and leakage parameter (K2) measurements, can differentiate GBM from MET.
METHODS: APTw MRI and DSC-MRI were performed on 18 patients diagnosed with GBM (
N = 10) or MET (
N = 8). Quantitative parameter maps were calculated, and regions-of-interest (ROIs) were placed in whole tumor, contrast-enhanced tumor... (More)OBJECTIVES: Early diagnostic separation between glioblastoma (GBM) and solitary metastases (MET) is important for patient management but remains challenging when based on imaging only. The objective of this study was to assess whether amide proton transfer weighted (APTw) MRI alone or combined with dynamic susceptibility contrast (DSC) MRI parameters, including cerebral blood volume (CBV), cerebral blood flow (CBF), and leakage parameter (K2) measurements, can differentiate GBM from MET.
METHODS: APTw MRI and DSC-MRI were performed on 18 patients diagnosed with GBM (
N = 10) or MET (
N = 8). Quantitative parameter maps were calculated, and regions-of-interest (ROIs) were placed in whole tumor, contrast-enhanced tumor (ET), edema, necrosis and normal-appearing white matter (NAWM). The mean and max of the APTw signal, CBF, leakage-corrected CBV and K2 were obtained from each ROI. Except for K2, all were normalized to NAWM (nAPTw
mean/max, nCBF
mean/max, ncCBV
mean/max,). Receiver Operating Characteristic (ROC) curves and area-under-the-curve (AUC) were assessed for different parameter combinations. Statistical analyses were performed using Mann-Whitney U test.
RESULTS: When comparing GBM to MET, nAPT
max, nCBF
max, ncCBV
max and ncCBV
mean were significantly increased (
p < 0.05) in ET with AUC being 0.81, 0.83, 0.85, and 0.83, respectively. Combinations of nAPTw
max + ncCBV
max, nAPTw
mean + ncCBV
mean, nAPTw
max + nCBF
max, nAPTw
max + K2
max and nAPTw
max + ncCBV
max + K2
max in ET showed significant prediction in differentiating GBM and MET (AUC = 0.92, 0.82, 0.92, 0.85, and 0.92 respectively).
CONCLUSION: When assessed in Gd-enhanced tumor areas, nAPTw MRI signal intensity alone or combined with DSC-MRI parameters, was an excellent predictor for differentiating GBM and MET. However, the small cohort warrants future studies.
(Less)
- author
- organization
-
- Diagnostic Radiology, (Lund)
- MR Physics (research group)
- Neurology, Lund
- LUCC: Lund University Cancer Centre
- Neuroradiology (research group)
- Tumor microenvironment
- Pathology, Lund
- MultiPark: Multidisciplinary research focused on Parkinson´s disease
- eSSENCE: The e-Science Collaboration
- Neurosurgery
- StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
- Medical Radiation Physics, Lund
- LU Profile Area: Light and Materials
- Lund University Bioimaging Center
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Frontiers in Neuroscience
- volume
- 19
- article number
- 1533799
- pages
- 01 - 09
- publisher
- Frontiers Media S. A.
- external identifiers
-
- pmid:39975970
- scopus:85218195855
- ISSN
- 1662-4548
- DOI
- 10.3389/fnins.2025.1533799
- language
- English
- LU publication?
- yes
- additional info
- Copyright © 2025 Knutsson, Salomonsson, Durmo, Johansson, Seidemo, Lätt, Rydelius, Kinhult, Englund, Bengzon, van Zijl, Knutsson and Sundgren.
- id
- 2483b352-fc43-4588-9dfb-910cf30560a6
- date added to LUP
- 2025-03-16 10:00:07
- date last changed
- 2025-04-14 07:11:57
@article{2483b352-fc43-4588-9dfb-910cf30560a6, abstract = {{<p>OBJECTIVES: Early diagnostic separation between glioblastoma (GBM) and solitary metastases (MET) is important for patient management but remains challenging when based on imaging only. The objective of this study was to assess whether amide proton transfer weighted (APTw) MRI alone or combined with dynamic susceptibility contrast (DSC) MRI parameters, including cerebral blood volume (CBV), cerebral blood flow (CBF), and leakage parameter (K2) measurements, can differentiate GBM from MET.</p><p>METHODS: APTw MRI and DSC-MRI were performed on 18 patients diagnosed with GBM (<br> N = 10) or MET (<br> N = 8). Quantitative parameter maps were calculated, and regions-of-interest (ROIs) were placed in whole tumor, contrast-enhanced tumor (ET), edema, necrosis and normal-appearing white matter (NAWM). The mean and max of the APTw signal, CBF, leakage-corrected CBV and K2 were obtained from each ROI. Except for K2, all were normalized to NAWM (nAPTw<br> mean/max, nCBF<br> mean/max, ncCBV<br> mean/max,). Receiver Operating Characteristic (ROC) curves and area-under-the-curve (AUC) were assessed for different parameter combinations. Statistical analyses were performed using Mann-Whitney U test.<br> </p><p>RESULTS: When comparing GBM to MET, nAPT<br> max, nCBF<br> max, ncCBV<br> max and ncCBV<br> mean were significantly increased (<br> p < 0.05) in ET with AUC being 0.81, 0.83, 0.85, and 0.83, respectively. Combinations of nAPTw<br> max + ncCBV<br> max, nAPTw<br> mean + ncCBV<br> mean, nAPTw<br> max + nCBF<br> max, nAPTw<br> max + K2<br> max and nAPTw<br> max + ncCBV<br> max + K2<br> max in ET showed significant prediction in differentiating GBM and MET (AUC = 0.92, 0.82, 0.92, 0.85, and 0.92 respectively).<br> </p><p>CONCLUSION: When assessed in Gd-enhanced tumor areas, nAPTw MRI signal intensity alone or combined with DSC-MRI parameters, was an excellent predictor for differentiating GBM and MET. However, the small cohort warrants future studies.</p>}}, author = {{Knutsson, Malte and Salomonsson, Tim and Durmo, Faris and Johansson, Emelie Ryd and Seidemo, Anina and Lätt, Jimmy and Rydelius, Anna and Kinhult, Sara and Englund, Elisabet and Bengzon, Johan and van Zijl, Peter C M and Knutsson, Linda and Sundgren, Pia C}}, issn = {{1662-4548}}, language = {{eng}}, pages = {{01--09}}, publisher = {{Frontiers Media S. A.}}, series = {{Frontiers in Neuroscience}}, title = {{Differentiation between glioblastoma and solitary brain metastases using perfusion and amide proton transfer weighted MRI}}, url = {{http://dx.doi.org/10.3389/fnins.2025.1533799}}, doi = {{10.3389/fnins.2025.1533799}}, volume = {{19}}, year = {{2025}}, }