Huan Ma1, Yao Wang1, Kun Li1, Yingying Ding1, Jialu Li2, and Xiaoyong Zhang3
1Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 2Department of Radiology, HangZhou Medical College Affiliated Lin'An People's Hospital, Hangzhou, Zhejiang Province, China, 3Clinical Science, Philips Healthcare, Chengdu, China, Chengdu, China
Synopsis
Tumor necrosis, angiogenesis and hypoxia
are related to therapeutic effect, aggressiveness, metastasis
and prognosis for osteosarcoma. In this
study, DCE-MRI were matched ROI-to-ROI with histopathological tissues to
explore the relationship between the perfusion parameters, including Ktrans,
Kep, and Ve in each ROI and TNR, MVD, VEGF and HIF-1α in
corresponding histopathological specimens, aiming to offer information about angiogenesis
and hypoxia in the microenvironment of osteosarcoma timely and non-invasively. We
found the perfusion parameters of DCE-MRI have a moderate sensitivity and specificity
to evaluate MVD, VEGF and HIF-1α in the histopathological tissues of osteosarcoma,
thereby helping microvessel status and hypoxia evaluating.
Objective
To
investigate associations between the perfusion parameters of dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) and microvessel density
(MVD), vascular endothelial growth factor (VEGF) and hypoxia inducible
factor-1α (HIF-1α) in osteosarcoma based on MRI-histopathological comparison.Materials and Methods
10 patients with osteosarcoma
in the distal femur and proximal tibia were enrolled consecutively in a prospective
study. After neoadjuvant chemotherapy, routine MRI and DCE-MRI were performed.
After operation, 5 mm thick tissue slice was taken from the median sagittal
plane of the gross specimen and divided into 1 cm × 1 cm tissue blocks. The
tumor necrosis rate (TNR), MVD, VEGF and HIF-1α of each tissue block were
detected. According to Huvos grading system, specimens were classified into responder
group (TNR ≥ 90%) but excluded complete necrosis ones (TNR almost 100%) and non-responder
group (TNR < 90%). On the median sagittal DCE-MRI images, the square regions
of interest (ROI) of 1 cm × 1 cm were located where the specimens were taken and
the perfusion parameters, including the volume transfer constant (Ktrans),
the reflux rate constant (Kep), and the extravascular extracellular
volume fraction (Ve) were measured. The relationship between perfusion
parameters and MVD, VEGF, HIF-1α was analyzed by Poisson regression and
logistic regression respectively, and receiver operating characteristic (ROC)
curve was drawn to calculate the diagnostic threshold, sensitivity and specificity.Results
A
total of 460 histopathological specimens were obtained in 10 patients with
osteosarcoma, including 401 (87.2%) in responder group and 59 (12.8%) in non-
responder group; 149 (32.4%) were VEGF positive and 311 (67.6%) were negative; 95
(20.7%) were HIF-1α positive and 365 (79.3%) were negative. Ktrans,
Kep, Ve, MVD and the positive rate of VEGF in the responder
group were higher than those in the non- responder group, while the positive
rate of HIF-1α was lower than that in the non- responder group (P < 0.05). Ktrans,
Kep and Ve were correlated with MVD, and the regression
coefficients were 0.652, 0.525 and -0.418, respectively (P < 0.01). The
threshold, area under the curve (AUC), sensitivity and specificity of Ktrans
for diagnosis of VEGF and Kep for HIF-1α were 0.115 min−1,
0.672, 65.1%, 66.1% and 0.663 min−1, 0.745, 52.4%, 89.8%, respectively.Discussion
DCE-MRI has been
widely adapted in malignant tumors with the advantages of real-time and
repeatably monitoring, which can effectively reflect the tumor perfusion and capillary
permeability, and evaluate it non-invasively
1, 2, 3, 4, 5, 6, 7.
TNR is the pathological "gold
standard" for evaluating the efficacy of NAC in osteosarcoma 8, 9, 10. If the proliferation of tumor is active, the
tumor cells are densely arranged, the extracellular space will be small, the
number of immature microvessels and capillary permeability will increase, so Ktrans
and Kep values will increase, and Ve will decreases. On
the contrary, tumor necrosis and extracellular space increases, and microvessel
density decreases after NAC, so the Ktrans and Kep values
decrease, and Ve value increases accordingly. The results of present
study are consistent with previous studies 4,
5, 6, 7. herefore, DCE-MRI parameters could be
used as an early predictor of event-free survival and total survival days in
patients with good response to NAC.
Tumor angiogenesis and microvessels distribution
are related to tumor proliferation, which can be evaluated with MVD count in
lesions. In this study, we observed the similar performance in the tissue blocks
of osteosarcoma and we also found that in soft tissue region with high MVD
count, most of the microvessels were mature and the distortion rate was low,
while in the central tumorous osteogenesis area, the MVD count was low with poor
differentiation of microvessel.
VEGF is one of the most important initiation
inducing factors in tumor angiogenesis pathway and the increased expression of
HIF-1α plays a key role in the adaptation of tumor to hypoxia 11. DCE-MRI is a
useful, non-invasive imaging technique for evaluation of VEGF and HIF-1α expression,
especially Ktrans and Kep could assess VEGF and HIF-1α expression
in our study, which is supported by the previous investigations.
In present study, the image-histopathological
comparison method was used according to the method of TNR of osteosarcoma. Each
ROI of the lesion in DCE-MRI was exactly matched with histopathological specimen of the tumor section, which may be more accurate to
reflect the relationship between the quantitative parameters and and histopathological
information of each specimen.
There are also several limitations in this
prospective study. Firstly, this study is a single center study with a small
number of enrolled cases, and the distribution of pathological specimens are
uneven, which may affect the results to some extent. Therefore, larger prospective
studies are warranted to validate the clinical value of DCE-MRI quantitative
parameters analysis. Secondly, the heterogeneity of osteosarcoma is obvious,
and the histopathological changes after neoadjuvant chemotherapy are more complex 1, 8, 10.Conclusion
In conclusion, the present study found
that the DCE-MRI perfusion parameters had a moderate sensitivity and specificity
to evaluate MVD, VEGF and HIF-1α in the histopathological tissues of osteosarcoma,
thereby helping microvessel status and hypoxia evaluating, but its
implementation, MR parameter setting and data analysis have not been unified
between different MR scanners and institutions, which needs further studies. Acknowledgements
We thank all the patients who participated
in this study. We thank Dr. Xinxin Fan from the Second Affiliated Hospital of
Kunming Medical University for useful discussions on data analysis. This work
was supported by Yunnan Fundamental Research Projects (grant No. 2019FE001-079
and No. 2019FE001-240). References
1. Gaustad JV, Anette H, Catherine S, et al. DCE-MRI of tumor
hypoxia and hypoxia-associated aggressiveness. Cancers (Basel). 2020; 12(7): 1979.
2. Isabelle C, Franck V, Vincent C, et al. The osteosarcoma microenvironment:
a complex but targetable ecosystem. Cells. 2020; 9(4): 976-1001.
3. Lilienthal I, Herold N. Targeting molecular mechanisms underlying
treatment efficacy and resistance in osteosarcoma: a review of current and
future strategies. Int J Mol Sci. 2020; 21(18): 6885.
4. Sahoo P, Gupta RK, Gupta PRK, et al. Diagnostic accuracy of
automatic normalization of CBV in glioma grading using T1-weighted DCE-MRI.
Magn Reson Imaging. 2017; 44: 32-37.
5. Kang SR, Kim HW, Kim HS. Evaluating the relationship between dynamic contrast-enhanced
MRI (DCE-MRI) parameters and pathological characteristics in breast cancer. J Magn
Reson Imaging. 2020; 52(2): 1360-1373.
6. Tönnes C, Janssen S, Golla AK, et al. Deterministic arterial input function
selection in DCE-MRI for automation of quantitative perfusion calculation of
colorectal cancer. Magn Reson Imaging. 2021; 75: 116-123.
7. Li XW, Wang QM, Dou YP, et al. Soft
tissue sarcoma: can dynamic contrast-enhanced (DCE) MRI be used to predict
the histological grade. Skeletal Radiol 2020; 49(11): 1829-1838.
8. Ritter J,
Bielack SS. Osteosarcoma.
Ann Oncol. 2010; 21(7): 320-325.
9. Maya K, Michele
WT, Mark JS, Thomas DM. Translational biology of osteosarcoma. Nat Rev Cancer. 2014;
14(11): 722-735.
10. NIU XH. Interpretation of
clinical practice guidelines for management of typical osteosarcoma. Chin Clin
Oncol. 2012; 17(10):
934-945.