Chuan Huang1,2, Anuradha Janardhanan1,3, and Mark Schweitzer1
1Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 2Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, 3Diagnostic Imaging, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
Synopsis
Understanding the
distribution of red marrow is important for various hematopoetic diseases and
especially osseous metastases as areas of red marrow are the primary sites for
hematogenous seeding of tumor cells, accounting for approximately 90% of
skeletal metastases. Using a simultaneous PET-MR we sought to evaluate
voxel of red marrow in the femora
and pelvis using fat/water sequences correlated with FDG PET uptake. This quantitative assessment of red and yellow marrow was
done in specific anatomic subregions.
The
bone marrow composition and metabolism were found to be symmetric in each
individual. Good correlation between SUV and %red were found for each ROI among
all subjects. The metabolism (FDG uptake) was found to be different for the ROIs
with the same amount of red marrow. Further research will study whether this
leads to higher chance of tumor seeding.Purpose
Understanding the
distribution of red marrow is important for various hematopoetic diseases and
especially osseous metastases as areas of red marrow are the primary sites for
hematogenous seeding of tumour cells, accounting for approximately 90% of
skeletal metastases [1]. Using a simultaneous PET-MR we sought to evaluate
voxel of red marrow in the femora
and pelvis using fat/water sequences correlated with FDG PET uptake. This quantitative assessment of red and yellow marrow was
done in specific anatomic subregions. We
looked for symmetry of both MR and PET findings. We postulate that, in
the future, that baseline red marrow distribution will help to identify areas
that might be predisposed to metastases, especially if they have higher
metabolic activity.
Methods
In this study, 9
volunteers with no known cancer or marrow disorder, getting FDG PET/MR scans
for other research studies, were enrolled after obtaining written consent as
approved by IRB. Ten-minute simultaneous PET-MR acquisitions of the pelvis were
acquired approximately 1 hour after the FDG injection (~5mCi dose). For
accurate fat quantification, a 6-echo 3D GRE DIXON sequence was used along with
a graph-cut based fat quantification algorithm [2]. Fourteen 1cm
2
representative region-of-interest (ROIs) were drawn manually on the
corresponding PET and MR images using Osirix software in (bilateral, i.e. left
and right sides) sacral ala, iliac bone, acetabulum, femoral head, femoral
neck, lesser trochanter, and proximal femoral shaft by a radiologist.
Results and Discussion
We
found the percentages of red marrow (%red) and FDG standardized uptake value
(SUV) are fairly symmetric for each ROI pairs (left vs. right) within
individual subjects (correlation coefficient R=0.96 for %red and R=0.95 for FDG
SUV). There is also a clear linear
correlation between the percentage of red marrow and its FDG uptake (R=0.71).
Of all the areas that were examined, we found the highest ratio between FDG
uptake to %red to be in the sacrum, iliac bones in the pelvic ring and lumbar spine.
The neck and lesser trochanter of the femur were found to have the least amount
of FDG uptake to %red. This agrees with existing SPECT literature [3]. With
this, we can postulate that these high ratio areas would naturally indicate
areas of potential tumor seeding.
Conclusion
The
bone marrow composition and metabolism were found to be symmetric in each
individual. Good correlation between SUV and %red were found for each ROI among
all subjects. The metabolism (FDG uptake) was found to be different for the ROIs
with the same amount of red marrow. Further research will study whether this
leads to higher chance of tumor seeding.
Acknowledgements
No acknowledgement found.References
[1] Basu S, Houseni M, Bural G, Chamroonat W, Udupa
J, Mishra S, Alavi A: Mol Imaging Biol (2007) 9:361-365
[2] Hernando, D.,
Kellman, P., Haldar, J. P., & Liang, Z. P. (2010). Robust water/fat
separation in the presence of large field inhomogeneities using a graph cut
algorithm. Magnetic Resonance in Medicine, 63(1), 79-90.
[3] Sixpatients, H.
(1991). In Vivo SPECT Quantitation of Bone Metabolism in
Hyperparathyroidismand. JOURNAL OF NUCLEAR MEDICINE 1991;32:1157-1116