Thomas Reith1, Eun-Jung Choi2, Jongho Lee2, Melissa Prah1, Robert Wujek1,3, Mona Al-Gizawiy1, Christopher Chitambar4, and Kathleen Schmainda1
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 3Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States, 4Hematology & Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
Synopsis
Basal ganglia iron levels were assessed
in 55 patients with gliomas by using a deep neural network-powered quantitative
susceptibility mapping method (QSMnet+). Basal ganglia QSM values increased
with higher tumor grade, suggesting a correlation between BG iron content and
glioma severity.
Introduction
Gliomas are primary brain tumors that arise from the supportive glial cells that surround and nourish neurons. The role of iron in glioma
pathophysiology has been a subject of recent interest, as these tumors alter
cellular metabolism and transport in ways that result in net iron influx.1-3 Quantitative susceptibility mapping (QSM) is a novel contrast mechanism that allows brain iron content to be measured in vivo by reconstructing tissue magnetic susceptibility from gradient echo (GRE) phase sequence data. In a preliminary study performed
by us, we used standard QSM processing methods that demonstrated higher basal
ganglia (BG) iron content in patients with glioblastoma than in patients with lower
grade gliomas.4 In the
current study, we use a deep neural network trained QSM method (QSMnet+5,6) to evaluate iron content in a much larger cohort of glioma patients. QSMnet+ was
previously shown to have superior image quality and linearity as a function of
iron content.6 To our knowledge, this is the first study to use QSMnet+
to assess iron content in the brains of patients with glioma.Methods
55 patients (28 males and 27 females) diagnosed with
gliomas (33 astrocytomas, 17 oligodendrogliomas, 3 mixed oligo-astrocytomas, 2
gliosarcomas; 15 grade II, 16 grade III, 24 grade IV) and ranging from 20 to 84
years old were involved in this IRB-approved study. T1, T1+C, T2, T2-FLAIR, and susceptibility-weighted (SWAN) images were collected at 3.0T. QSM images were constructed using QSMNet+ and affinely co-registered to
T1+C images using FMRIB’s Linear Image Registration Tool (FLIRT).7-9
Regions of interest (ROIs) for the caudate, putamen,
and globus pallidus were manually drawn on QSM images (Figure 1). Mean voxel
intensities for all ROIs were averaged across multiple slices to obtain one QSM
value per tissue type per patient. The resulting QSM values for the caudate,
putamen, and globus pallidus were further averaged to obtain one overall BG QSM
value for each patient.
Two-tailed t-tests were used to compare BG QSM values
between groups of patients based on sex and tumor grade with sample size n ≥ 30. For samples with
sample size n < 30, two-tailed Mann-Whitney U tests were used.Results
QSM values for patients with grade IV tumors were
higher than for patients with grade III tumors (Figures 2 and 3). Differences were statistically significant for the overall BG (p =
0.024), caudate (p = 0.046), and putamen (p = 0.0025); but not
for the globus pallidus (p = 0.93).
QSM values for
patients with grade III tumors were higher than for patients with grade II
tumors (Figures 2 and 3). Differences were statistically significant for the overall BG (p = 0.020), putamen (p = 0.027), and
globus pallidus (p = 0.039); but not for the caudate (p = 0.41).
No significant differences in overall BG QSM values were
found between males and females for tumors of any grade (p = 0.17, grade
II; p = 0.90, grade III; p = 0.86, grade IV). QSM values for
individual BG regions are reported in Table 1.Discussion
In
previous work, we identified a significant difference in BG iron content
between patients with glioblastomas and tumors of lower grades.4 The present study – involving
double the previous number of patients – expands upon the previous one to suggest that BG iron content differs between patients with tumors of grades II, III, and IV. In other words, BG iron content appears to directly correlate with tumor severity, demonstrating that increased iron trafficking may occur in healthy brain tissue as well as neoplastic tissue. The usage of QSMNet+ in the present study resulted in substantially improved image quality with fewer artifacts, lending further support to our findings. Our results are also supported by previously reported BG T2-shortening in brain tumor patients.10
Compared
with women, men have higher body iron stores and are more likely to present
with symptoms of iron overload11; men are also more likely to
develop gliomas.12 It is thus noteworthy that the BG
iron accumulation observed in our study appears independent of gender. Although
the mechanism by which this accumulation occurs is unclear, previous studies
reporting increased ferritin levels in the cerebrospinal fluid of glioblastoma
patients13 suggest CSF as one possibility.
Future research is needed
to further elucidate this phenomenon.Conclusion
This study suggests that basal ganglia iron content directly correlates with glioma severity. BG iron levels may thus be a useful biomarker in glioma prognosis and treatment, especially with regards to iron-based cancer therapies. Furthermore, this study demonstrates the clinical utility of QSMnet+ to provide useful information about iron content in disease.Acknowledgements
We thank the Chasing Chad Foundation and
NIH/NCI U01 CA176110 for funding and support.References
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