Pengyang Feng1, Nan Meng2, Zhun Huang1, Ting Fang2, Fangfang Fu3, Yaping Wu3, Wei Wei3, Yan Bai3, Jianmin Yuan4, Yang Yang 5, Hui Liu 6, and Meiyun Wang*1,2
1Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou, China, 4Central Research Institute, UIH Group, Shanghai, China, 5Central Research Institute, UIH Group, Beijing, China, 6UIH America, Inc, Houston, TX, United States
Synopsis
PET-MR
is a new multi-modal imaging system that organically integrates PET and MRI. SUVmax is the most commonly
used semi-quantitative index to measure how much 18F-FDG is taken up by the
lesion. Intravoxel incoherent motion (IVIM), including D, D*, f values, provide
parameters for the movement of tissue water molecules and parameters for the
degree of tissue perfusion. Our results show that
SUVmax and IVIM have similar diagnostic performance in the diagnosis of lung
squamous and adenocarcinoma.
Introduction
Lung cancer is one of the most common malignant
tumors, with the highest incidence and fatality rate among malignant tumors 1. As the most advanced imaging equipment, integrated PET/MR provides cross-modality
imaging results such as anatomy, physiology, metabolism, and molecules, allows
for more accurate clinical diagnosis and quantitative tumor analysis 2,3. 18F-FDG used in PET imaging can help diagnose and differentiate tumors
by distinguishing the difference in imaging agent uptake by normal tissues and
tumor tissues 4. Intravoxel
incoherent motion (IVIM) technique in MRI is based on the biexponential exponential model and multi-b value acquisition of images, which can
obtain the physiological information of perfusion and diffusion more
intuitively
5. At present, many studies have explored the possibility of using SUVmax
or IVIM alone to diagnose lung squamous and adenocarcinoma, but there are few
comparative studies on the SUVmax and IVIM in lung disease. This study aims to explore the possibility of applying SUVmax and IVIM acquired
by PET/MR to identify and diagnose lung squamous and adenocarcinoma, and to
compare which method is more effective in diagnosis.Material and Methods
The study protocol was
reviewed and approved by the local ethics committee and written informed
consent was obtained. Taking pathological results as
the gold standard, 23 cases were selected in this study (13 males, 10 females),
including 15 cases of adenocarcinoma and 8 cases of squamous carcinoma. Studies
were conducted on a hybrid 3.0T PET/MR scanner
(uPMR790, UIH, Shanghai, China) with a 12 channels phased-array body coil. The
PET tracer was 18F‑FDG, prepared by the laboratory, with radiochemical purity
>95%. The patients were suggested not to exercise vigorously within
24 hours before the examination, fast for at least 6 hours, and fasting blood
glucose less than 8mmol/L in the morning. The patients were asked to lie and
rest for 5-10 minutes before injection, and then intravenously injected
according to the standard dose of 0.15 mCi/kg. The image acquisition was
performed 40-60 minutes of quiet rest after injection. SUVmax measurement was
measured by VOI analysis of pet-images. The IVIM sequence was set with the
following parameters: TR = 1620 ms, TE = 69.6 ms; b-values = 0, 25, 50, 100,
150, 200, 400, 600, 800, and 1000 s/mm 2, number of averages = 1, 1,
2, 2, 4, 4, 6, 6, 8, 10. The
ROI was placed to cover as many solid tumor parts as possible to avoid large vessels, obvious
bleeding, necrosis, and cystic area.
SPSS 23.0 and Medcalc 15.0
were used for data analysis. The independent sample t-test was applied for
between-group analyses. The correlation between SUVmax and D, D*, f were
analyzed by using the Pearson correlation coefficient. The ROC curve was
generated to evaluate each parameter’s diagnostic accuracy. The Delong method
was used to compare the AUCs of different parameters. P<0.05 is considered
statistically significant.Results
The
SUVmax of the squamous carcinoma group (12.56±5.85) was higher than that of the
adenocarcinoma group (6.55±4.26). The D and D* values of the
adenocarcinoma group [(1.29±0.38)×10-3 mm2/s,
(64.12±67.91)×10-3 mm2/s]
were higher than those of the squamous carcinoma group [(0.95±0.20)×10-3 mm2/s,
(21.28±22.19)×10-3 mm2/s].
The f value is not statistically significant (Figure 1,2). The AUC of SUVmax from PET is
0.817, which is not significantly different from the parameters (D, D* and f)
derived from IVIM
(Z= 0.000, 0.272, and 0.748, P = 1.0000, 0.7854, and 0.4543, Figure 3).
There was no
significant correlation between SUVmax and D, D*, and f values in
adenocarcinoma and squamous carcinoma groups.Discussion
The SUVmax of the squamous carcinoma
group is higher than that of the adenocarcinoma group, which may be related to
the higher expression of glucose transporter (GLUT-1) in squamous carcinoma
cells than in adenocarcinoma cells 6. The difference in D and D* values
of squamous carcinoma and adenocarcinoma is statistically significant. From the
pathological and histological point of view, the reason may be that the tumor
cells of adenocarcinoma mainly grow along the alveolar wall, while the squamous
carcinoma cells mainly grow in clump 7. Therefore, the tumor cell density of squamous
carcinoma is higher than that of adenocarcinoma. Also, microcirculation
perfusion blood volume, microcirculation capillary length, number, and blood
flow velocity are related to it. The correlation between SUVmax and D, D*, f
values in squamous and adenocarcinoma groups is not statistically significant,
which may be related to the small sample size and individual differences.Conclusion
Both SUVmax and IVIM parameters based on
PET-MR are beneficial to the diagnosis of lung squamous and adenocarcinoma, and
their diagnostic efficiency is similar.Acknowledgements
The National Key R&D Program of China
(2017YFE0103600), the Henan Medical Science and Technology Research Program
(2018020357 and 2018020367), the National Natural Science Foundation of China
(81720108021 and 31470047), and Zhongyuan Thousand Talents Plan Project - Basic
Research Leader Talent (ZYQR201810117).References
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