See the published version of this preprint at EJNMMI Research.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Original research
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objectives:
To decipher the metabolism/vascularization regional interlinks in NSCLC, by using full dynamic simultaneous 18F-FDG PET-MRI voxel-wise analysis.
Material and methods:
Fourteen treatment-naïve patients with biopsy proven NSCLC prospectively underwent a one-hour dynamic 18F-FDG thoracic PET-MRI including DCE. The PET and DCE data were normalized to a reference space, and masked semi-automatically. Full kinetic voxelwise parametric maps were computed by fitting the PET and DCE tumor data to state-of-the-art Sokoloff and Extended Tofts models respectively, by using in-house procedures. Spearman correlation coefficients (rs) between all the tumors kinetic parameters were estimated on a voxelwise basis, both at the whole dataset and tumor levels.
Results:
At the whole dataset level, the estimated K1, k2, k3, MRGlu and vb median values (IQR) were 0.25ml.min-1.ml-1 (0.17-0.33), 0.68 min-1 (0.48-1.02), 0.11 min-1 (0.07-0.2), 0.20 μmol.ml-1.min-1 (0.13-0.29) and 0.08 a.u (0.05-0.10). The estimated Ktrans, ve, Kep and vp median values (IQR) were 0.44 min-1 (0.14-0.92), 0.64 a.u (0.24-1.0), 0.79 min-1 (0.44-1.3), and 0.04 a.u (0.0007-0.19). At the whole dataset level, all the PET/DCE regional interlinks were weak (|rs| <0.4). At the tumor level, high heterogeneity was observed: 8 tumors showed weak (|rs| <0.4) to moderate (0.4≤ |rs| <0.7) PET/DCE regional interlinks, 5 tumors showed weak to strong interlinks, and 1 tumor showed moderate to strong interlinks.
Conclusion:
Metabolism/vascularization regional interlinks assessed with dynamic 18F-FDG PET-MRI are spatially and individually heterogeneous in NSCLC. In the era of precision medicine, PET-MRI has unique capability to go further insight the individual regional tumor being in NSCLC.
Keywords
PET-MRI; DCE-MRI; 18F-FDG; kinetic parameters; NSCLC; quantification
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
The full text of this article is available to read as a PDF.
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at EJNMMI Research.
No community comments so far
Editorial decision: Accept
On 08 Jul, 2020
Reviewer #1 agreed
On 07 Jul, 2020
Review #1 received
Received 07 Jul, 2020
Editor assigned
On 06 Jul, 2020
Reviewers invited
Invitations sent on 06 Jul, 2020
Submission checks complete
On 05 Jul, 2020
Editor invited
On 05 Jul, 2020
No comments provided
Review #2 received
Received 12 Jun, 2020
Editorial decision: Major Revision
On 12 Jun, 2020
Review #1 received
Received 05 Jun, 2020
Reviewer #2 agreed
On 29 May, 2020
Reviewers invited
Invitations sent on 27 May, 2020
Reviewer #1 agreed
On 27 May, 2020
Editor assigned
On 26 May, 2020
Submission checks complete
On 25 May, 2020
Editor invited
On 25 May, 2020
Version 1
Posted 25 Mar, 2020
No comments provided
Review #2 received
Received 28 Apr, 2020
Editorial decision: Major Revision
On 28 Apr, 2020
Review #1 received
Received 15 Apr, 2020
Reviewer #2 agreed
On 14 Apr, 2020
Reviewer #1 agreed
On 02 Apr, 2020
Reviewers invited
Invitations sent on 26 Mar, 2020
Editor assigned
On 25 Mar, 2020
Submission checks complete
On 24 Mar, 2020
Editor invited
On 24 Mar, 2020
First submitted
On 23 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at EJNMMI Research.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Original research
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at EJNMMI Research.
No community comments so far
Editorial decision: Accept
On 08 Jul, 2020
Reviewer #1 agreed
On 07 Jul, 2020
Review #1 received
Received 07 Jul, 2020
Editor assigned
On 06 Jul, 2020
Reviewers invited
Invitations sent on 06 Jul, 2020
Submission checks complete
On 05 Jul, 2020
Editor invited
On 05 Jul, 2020
No comments provided
Review #2 received
Received 12 Jun, 2020
Editorial decision: Major Revision
On 12 Jun, 2020
Review #1 received
Received 05 Jun, 2020
Reviewer #2 agreed
On 29 May, 2020
Reviewers invited
Invitations sent on 27 May, 2020
Reviewer #1 agreed
On 27 May, 2020
Editor assigned
On 26 May, 2020
Submission checks complete
On 25 May, 2020
Editor invited
On 25 May, 2020
Version 1
Posted 25 Mar, 2020
No comments provided
Review #2 received
Received 28 Apr, 2020
Editorial decision: Major Revision
On 28 Apr, 2020
Review #1 received
Received 15 Apr, 2020
Reviewer #2 agreed
On 14 Apr, 2020
Reviewer #1 agreed
On 02 Apr, 2020
Reviewers invited
Invitations sent on 26 Mar, 2020
Editor assigned
On 25 Mar, 2020
Submission checks complete
On 24 Mar, 2020
Editor invited
On 24 Mar, 2020
First submitted
On 23 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at EJNMMI Research.
Objectives:
To decipher the metabolism/vascularization regional interlinks in NSCLC, by using full dynamic simultaneous 18F-FDG PET-MRI voxel-wise analysis.
Material and methods:
Fourteen treatment-naïve patients with biopsy proven NSCLC prospectively underwent a one-hour dynamic 18F-FDG thoracic PET-MRI including DCE. The PET and DCE data were normalized to a reference space, and masked semi-automatically. Full kinetic voxelwise parametric maps were computed by fitting the PET and DCE tumor data to state-of-the-art Sokoloff and Extended Tofts models respectively, by using in-house procedures. Spearman correlation coefficients (rs) between all the tumors kinetic parameters were estimated on a voxelwise basis, both at the whole dataset and tumor levels.
Results:
At the whole dataset level, the estimated K1, k2, k3, MRGlu and vb median values (IQR) were 0.25ml.min-1.ml-1 (0.17-0.33), 0.68 min-1 (0.48-1.02), 0.11 min-1 (0.07-0.2), 0.20 μmol.ml-1.min-1 (0.13-0.29) and 0.08 a.u (0.05-0.10). The estimated Ktrans, ve, Kep and vp median values (IQR) were 0.44 min-1 (0.14-0.92), 0.64 a.u (0.24-1.0), 0.79 min-1 (0.44-1.3), and 0.04 a.u (0.0007-0.19). At the whole dataset level, all the PET/DCE regional interlinks were weak (|rs| <0.4). At the tumor level, high heterogeneity was observed: 8 tumors showed weak (|rs| <0.4) to moderate (0.4≤ |rs| <0.7) PET/DCE regional interlinks, 5 tumors showed weak to strong interlinks, and 1 tumor showed moderate to strong interlinks.
Conclusion:
Metabolism/vascularization regional interlinks assessed with dynamic 18F-FDG PET-MRI are spatially and individually heterogeneous in NSCLC. In the era of precision medicine, PET-MRI has unique capability to go further insight the individual regional tumor being in NSCLC.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
The full text of this article is available to read as a PDF.
Loading...