Overview:
In this webinar, Dr. Edwin C. Pratt discussed the realm of positron emission tomography (PET) imaging and explained the innovative concept of multiplexed PET. This new scientific advancement makes it possible to perform simultaneous imaging with two different isotopes providing more in depth information with a single scan.
Key Takeaways:
Multiplexed PET is a new reconstruction method to identify and separate positron from positron-prompt gamma emissions without new hardware from list mode PET scanners or energy discrimination of events.
Multiplexed PET is a quantitative method that is agnostic to the type of radiotracer used (IE no compartment modeling). Only a simple uniformity and sensitivity phantom is required.
Acquisition has been shown in a variety of preclinical and clinical PET scanners, though not all scanners can natively acquire data for multiplexing.
Multiplexed PET enables faster throughput for screening radiotracers, or conversely two tracer information of a tissue of interest, like imaging the tumor microenvironment for two immune populations.
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
(September 13, 2023) Webinar: Seeing Double: Preclinical Multiplexed PET for Dual Isotope Imaging
1. Seeing Double: Preclinical Multiplexed PET for
Dual Isotope Imaging
Dr. Edwin C. Pratt
Research Scholar at
Memorial Sloan Kettering Cancer Center
2. Recently Published Examples of mPET
2
“Simultaneous quantitative imaging of two PET
radiotracers via the detection of positron–electron
annihilation and prompt gamma emissions”
https://doi.org/10.1038/s41551-023-01060-y
PMID: 37400715
4. PET vs. Multiplexed PET (mPET)
4
1) Use Standard (β+) &
Non-Standard (β+γ)
Radionuclides
2) Detection of Doubles and
Triple Coincidences
3) Image Reconstruction &
Separation
“Doubles”
“Triples”
Pratt, E.C. et al, 2023. PMID 37400715
5. Standard (β+ ) and Non-Standard Radionuclides
(β+γ)
5
Triples Half-life
β+ yield
(%)
Main Prompt γ [keV]
& (β+ γ / β+ yield)
82Rb 1.27 m 95 777 (13%)
52mMn 21.1 m 97 1434 (96%)
60Cu 23.7 m 93 1333 (88%)
94mTc 52.0 m 70 871 (96%)
110mIn 1.15 h 62 658 (99%)
120I 1.35 h 46 560 (72%)
44Sc 3.97 h 94 1157 (100%)
86Y 14.7 h 33 1080 (83%), 627 (33%)
76Br 16.2 h 26 559 (58%)
72As 1.08 d 88 834 (79%)
124I 4.18 d 23 602 (51%)
52Mn 5.59 d 29 744 (90%), 1434 (100%)
Doubles Half-life
β+ yield
(%)
15O 2.04 m 100
13N 9.96 m 100
11C 20.36 m 100
68Ga 68 m 89
18F 109.7 m 97
64Cu 12.7 h 17.6
89Zr 3.3 d 23
Pratt, E.C. et al, 2023. PMID 37400715
6. mPET Setup for List Mode Scanners
• Traditional PET: prompt
gamma is “removed”
favoring “doubles”
• mPET acquisition energy
adjusted to maximize
”triples” counted
6
Scan Type Prompt
Gamma
(keV)
Energy
Window
(keV)
89Zr (normal) None 350-650
124I (normal) 602 350-550
86Y (normal) 627 350-550
89Zr + 124I 602 350-700
89Zr + 86Y 627 350-700
52Mn 744 350-814*
* Programmable limit of Inveon range
13. Improving Quantitative Accuracy of mPET
Pratt, E.C. PMID: 37400715
0 50 100
0
50
100
150
200
% of counts used
Activity
of
ROI
[a.u.]
124I mPET
68Ga mPET
Transaxial Slices
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14. Deep-mPET uses several deep bias and noise corrections to improve low count positive bias
Deep-mPET AI Improvements to Positive Bias
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68Ga mPET 124I mPET 68Ga Deep-mPET 124I Deep-mPET Max
Acquisition
with
10%
of
counts
Full
Acquisition
15. Deep-mPET AI Improvements to Low Count Quantitation
0 50 100
0
50
100
150
200
% of counts used
Activity
of
ROI
[a.u.]
124I mPET
68Ga mPET
124I Deep-mPET
68Ga Deep-mPET
68Ga Deep-mPET 124I Deep-mPET
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Acquisition
with
10%
of
counts
Full
Acquisition
Max
18. mPET can be Quantitative
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Pratt, E.C. et al, 2023. PMID 37400715
19. mPET Applicable to Clinical PET/CT Scanners
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Pratt, E.C. et al, 2023. PMID 37400715
20. Tracking Small Molecules In Vivo
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RAS
BRAF
RAF1
MEK
ERK
RTK
Vemurafenib
Trametinib
Pratt, E.C. et al, 2023. PMID 37400715
21. Can See Both Distributions with mPET
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Pratt, E.C. et al, 2023. PMID 37400715
22. mPET is Biology Blind yet Quantitative
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Pratt, E.C. et al, 2023. PMID 37400715
23. Drug loading with Nanoparticles
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Trametinib
Loaded
Pratt, E.C. et al, 2023. PMID 37400715
89Zr
33. Testing 52Mn as a PET Radionuclide
52Mn Courtesy of Dr. Suzanne Lapi and James Omweri (UAB)
Energy Window 350 – 650 keV 350 – 750 keV 350 – 814 keV 350 – 814 keV
Acquisition Time 10 min 10 min 10 min 4 hours
Reconstruction OSEM2D OSEM2D OSEM2D OSEM2D
Iterations 4 4 4 4
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34. Testing 52Mn as a mPET Radionuclide
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52Mn Courtesy of Dr. Suzanne Lapi and James Omweri (UAB)
OSEM2D
Reconstruction
mPET Reconstruction
Doubles
mPET Reconstruction
Triples
36. Quantitation 52Mn and 89Zr ROIs
36
1 2 3 4
0
20
40
60
80
Data 1
ROI
µCi
per
Tumor
Phantom
89Zr
52Mn mPET
89Zr mPET
52Mn
37. Combining Energy with mPET
• Sedecal SuperArgus registers list mode events with the
particle energy
• Energy discrimination allows for higher order
multiplexed PET
• Built in module for multiplexed PET
37
www.scintica.com
38. Antigen 3
Antigen 2
Could PET be more like Flow Cytometry?
38
PET for multiple
Tracers
FDG
CA19.9
PSMA
DLL3
39. mPET Summary
• Advantages:
– mPET is quantitative
– Minimal modification to list mode acquisition
– Increased imaging throughput per session
– No prior knowledge of tracer distribution needed
• Limitations:
– Rational pairing of isotopes needed
– Dual radiotracer production
– Needs a PET scanner capable of recording events in list mode
39
40. Acknowledgements
• Small Animal Imaging Core
• Dr. Suzanne Lapi (UAB)
• James Omweri (UAB)
• Funding
– F32 CA268912-03
– P30 CA008748-53
– R01 EB033000-01
40
The Lopez-
Herraiz Lab
The Grimm Lab
The Lewis Lab
42. Orthogonal mPET CAR-T with Oxine Particle Tracking
42
Pratt, E.C. et al, 2023. PMID 37400715
43. Radiochemical Characterization Galore
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0 20 40 60
0
100000
200000
300000
400000
Retention Time (minutes)
Radiodetector
millivolt
signal
[124I]I-trametinib
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-ferumoxytol
[89Zr]Zr-ferumoxytol
Free 89Zr
[89Zr]Zr-DFO-CD39
0 10 20 30 40
0
1000
2000
3000
Retention Time (minutes)
Radiotrace
[86Y]Y-DOTA-PSMA
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-Oxine
Free 89Zr
[89Zr]Zr-Oxine
[124I]I-Ly108
[124I]I-Ly108
a b
c d
e f
0 20 40 60
0
100000
Retention Time (minutes)
Radiodetect
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-ferumoxytol
[89Zr]Zr-ferumoxytol
Free 89Zr
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-DFO-CD39
Free 89Zr
[89Zr]Zr-DFO-CD39
0 10 20 30 40
0
1000
Retention Time (minutes)
Ra
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-Oxine
Free 89Zr
[89Zr]Zr-Oxine
0 50 100 150 200
Position (mm)
Normalized
ITLC
[124I]I-Ly108
[124I]I-Ly108
124I
c d
e f
60
utes)
ib
ol
0 10 20 30 40
0
1000
2000
3000
Retention Time (minutes)
Radiotrace
[86Y]Y-DOTA-PSMA
[89Zr]Zr-Oxine
b
d
0 20 40 60
0
100000
Retention Time (minutes)
Radiodete
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-ferumoxytol
[89Zr]Zr-ferumoxytol
Free 89Zr
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-DFO-CD39
Free 89Zr
[89Zr]Zr-DFO-CD39
0 10 20 30 40
0
1000
Retention Time (minutes)
R
0 50 100 150 200
Position (mm)
Normalized
ITLC
[89Zr]Zr-Oxine
Free 89Zr
[89Zr]Zr-Oxine
0 50 100 150 200
Position (mm)
Normalized
ITLC
[124I]I-Ly108
[124I]I-Ly108
124I
c d
e f
Pratt, E.C. et al, 2023. PMID 37400715
Editor's Notes
Screening of patients with the radiotracer 18FDG for example gives avidity of lesions for glucose, with typically higher avidity correlating with greater disease burden or worse prognosis. however, new lesions as well as cancers such as low-grade lung adenocarcinoma, renal cell cancer, and mucinous neoplasms are not FDG avid. A traditional FDG scan can identify only avidity. How can we multiplex PET imaging? mention compartment models, decay
traditional PET tracks the coincidence of gammas from an annihilated positron. recontruction tracks the linear origin of the coincience. other positrons also emit a promt gamma, of an energy differing from the 511keV annihilation gammas. typically this prompt gamma is removed through software supression or narrowing of gamma energy windows. here mPET utilizes the additional gamma to distinguish it from the other positron, and a triangulation of the triple coinidence provides the origin. traditionally this prompt gamma would be considered scatter and the event removed from the reconstruction (through narrowing the energy window)
Mention the importance of when triples are read normally they are excluded from reconstruction. why isotopes are “dirty” and not used as much compared to other “cleaner” isotopes.
PET images have been reconstructed using four algorithms: filtered backprojection (FBP), ordered subsets expectation maximization (OSEM), OSEM with time-of-flight (TOF), and OSEM with both time-of-flight and point-spread-function (TPSF).
NaI and transaxial. max min
DNN net based on U-NET model with overlapping 13×13×13 voxels for training and deployment using Tensorflow or Keras
Deep Neutral Net trained on reconstructed images of high and low counts to reduce bias
Further refined the bilaterial filter allowing 20-fold reduction in counts
Additional refinement using positron range correction to improve accuracy
Unet is a convolutional neural network, skip connection for biological image processing
bilateral filter is a non-linear, edge-preserving, and noise-reducing smoothing filter for images