Qingling Song1, Ailian Liu2, Ye Li2, Li Hao3, Yuting Shi2, Qingwei Song2, Hongkai Wang4,5, and Mingrui Zhuang4
1Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China, 2Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Radiology, Dalian Municipal Central Hospital, Dalian, Liaoning, China, Dalian, China, 4School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China, 5Liaoning Key Laboratory of Integrated Circuit and Biomedical Electronic System, Dalian, China
Synopsis
Keywords: Pelvis, Blood vessels
Motivation: It is important to quantitatively analyze the subtype of epithelial ovarian cancer using oxygen content, neovascularization, intra-tumoral hemorrhage.
Goal(s): To investigate the R2* value of ESWAN and quantitative ITSS obtained automatically in discriminating subtype of epithelial ovarian cancer.
Approach: R2* value of ESWAN sequence and ITSS ratio of ovarian cancer lesion were measured, and the value of R2* and ITSS in discriminating subtype of EOC was analyzed.
Results: The area ITSS ratio and volume ITSS ratio of type II ovarian cancer were significantly higher than those of type I EOC. There was no significant difference between type I and type II EOC.
Impact: The area ITSS ratio and volume ITSS ratio have certain value in discriminating
type
I from type II EOC. The value of R2* value in the
differentiation of subtype of epithelial ovarian cancer need to be further
explored.
Introduction
Epithelial ovarian cancers (EOCs) were
classified into type I and type II with the dualistic model according to different
pathogenesis information [1,2]. Enhanced T2 star weighted angiography (ESWAN) sequence can
obtain quantitative parameters such as magnitude value, phase
value, transverse relaxation ratee (R2*) value and T2* value according to the
difference of magnetic sensitivity between tissues, thus reflecting the change
of tissue blood oxygen content [4]. R2* is a sensitive index for quantitative
evaluation of local tissue oxygen content. Heterogeneous ITSS was significantly
associated with tumor hemorrhage, necrosis, diffusion restriction. Intra-tumoral
susceptibility signals (ITSS) mainly reflect microhemorrhage and
neovascularization within the tumor [5], which presented continuous dotted or
linear low signal area within the tumor on the phase map. There was no research
evaluated the value of R2*, ITSS in discriminating
type I from type II EOC. This study was to investigate the feasibility of R2*,
ITSS in discriminating type I from type
II EOC.Methods
38 ovarian cancer patients with 44 pathologically
confirmed lesion were included in this study. MR examinations included T1W,
T2W, ESWAN sequences were performed within two weeks before surgery. Patients were grouped into type I and type II groups. All
patients were scanned using a 1.5 T MR scanner (GE Signa HDXT) with eight-channel
body matrix coil. The specific scanning parameters are shown in Table 1.
The ESWAN sequence images are transmitted to the GEADW4.6 workstation, and the
R2*, magnitude and phase images are obtained by Functool software processing.
Because the banded artifacts in the phase image will seriously affect the
measurement of ITSS, python was used to remove the artifacts before
measurement. After removing the artifacts, the phase diagram of the batch
processing program is exported to NII format and transmitted to the special
software Anatomy Sketch for tumor drawing. Two observers blinded to the clinical
information manually draw the ROIs. The ROI of the lesion was delineated along
the contour of the solid portion of tumor at the largest slice in the T2W sequence
and its adjacent upper and lower multiple layers (Figure 1). After the
completion of the delineation, ROIs were automatically mapped to the phase map,
and the lesion ITSS ratio of the phase map was calculated. The area ITSS ratio and
the volume ITSS ratio were obtained. Area ITSS ratio is defined as the ratio of
the ITSS area to the tumor area in the section with the largest ITSS area. Volume
ITSS ratio is the ratio of the ITSS volume to the tumor volume. Intraclass
correlation coefficient was used to evaluate the inter-observer reliability of
the R2*,
ITSS measurement from two observers. The independent
sample t-test or Mann-Whitney U test were used to compare the differences in
the parameter values between the two groups. ROC curve was used to calculate
the R2*
and ITSS ratio with the statistical difference to
evaluate the performance of subtype of EOC.Results
The area ITSS, volume ITSS and R2* values of the
lesions measured by the two observers were consistent (ICC=0.937, 0.920, 0.813,
respectively). The area ITSS ratio and volume ITSS ratio of type II EOC were
significantly higher than those of type I EOC (0.149 vs. 0.741, P<0.001; 0.140
vs. 0.084, P=0.004, respectively). There was no significant difference between type
I and type II epithelial ovarian cancer (P=0.435). the AUC of area ITSS ratio
in discriminating type I from type II EOC was
0.853, with sensitivity 89.29%, and specificity 68.75%. the AUC of volume ITSS
ratio was
0.759, with sensitivity 71.43%, and specificity 68.75%.Discussion
The results of this study
showed that ITSS ratio of type II EOC were significantly higher than
those of type I EOC. The results suggested that type II EOC were more susceptible
to generate neovascularization than type I EOC, which was consistent with the higher
aggressiveness of type II EOC. furthermore, there may be more invisible intra-tumoral
hemorrhage lesions in type II EOC than type I EOC. However, there was no difference
in R2* value between the two groups, which reveals that the oxygen content can
not be charactered by R2* in this study. The reason might be the small number
of the cohort in this study. More patients should be enrolled in the further
study to verify the results of the present study.Conclusion
The area ITSS ratio and volume ITSS ratio have certain value in discriminating
type
I from type II epithelial ovarian cancer. The value of R2* value in the
differentiation of subtype of epithelial ovarian cancer need to be further
explored.Acknowledgements
No acknowledgement found.References
1. Karnezis AN, Cho KR,
Gilks CB, Pearce CL, Huntsman DG: The disparate origins of ovarian cancers:
pathogenesis and prevention strategies. Nature reviews Cancer 2017,
17(1):65-74.
2. Kurman RJ, Shih Ie M:
Pathogenesis of ovarian cancer: lessons from morphology and molecular biology
and their clinical implications. International journal of gynecological
pathology: official journal of the International Society of Gynecological
Pathologists 2008, 27(2):151-160.
3. McCluggage WG:
Morphological subtypes of ovarian carcinoma: a review with emphasis on new
developments and pathogenesis. Pathology 2011, 43(5):420-432.
4. Chen XQ, Niu JP,
Peng RQ, Song YH, Xu N, Zhang YW. The early diagnosis of Parkinson's disease
through combined biomarkers. Acta Neurol Scand. 2019 Oct;140(4):268-273.
5. Gaudino S,
Marziali G, Pezzullo G, Guadalupi P, Giordano C, Infante A, Benenati M,
Ramaglia A, Massimi L, Gessi M, Frassanito P, Caldarelli M, Colosimo C. Role of
susceptibility-weighted imaging and intratumoral susceptibility signals in
grading and differentiating pediatric brain tumors at 1.5 T: a preliminary
study. Neuroradiology. 2020 Jun;62(6):705-713.