Xinqi Wang1, Yi Wang2, Lu Wang1, Qinhe Zhang3, Lizhi Xie4, and Ailian Liu3
1School of Medical Imaging, Dalian Medical University, Dalian, China, 2Department of Radiology, Dalian Friendship Hospital, Dalian, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 4GE Healthcare, MR Research China, Beijing, China
Synopsis
It is difficult to
differentiate the solidpseudopapillary tumer of the pancreas(SPTP) from
pancreatic neuroendocrine tumers (PNET), due to their similar imaging
characteristics. There was significant difference in DTI quantitative
parameters Fractional Aniso (FA) and Volume ratio Aniso (VRA) between SPTP and
PNET. The results showed that the FA and VRA values of DTI sequence of SPTP
were significantly higher than that of PNET. Therefore, DTI sequences may be an
effective method to identify SPTP and PNET.
Purpose
To evaluate the diagnostic value of multiple quantitative
parameters of DTI sequence in the differential diagnosis of solidpseudopapillary
tumer of the pancreas(SPTP) and pancreatic
neuroendocrine tumers (PNET).Introduction
SPTP and PNET are
rare tumors in the pancreas. Although PNET is a blood rich tumor, about 41% to
49% of the tumors have no obvious enhancement after contrast enhanced scanning
[1]. SPTP has malignant potential, and content in the lesions are mainly
composed of solid components. In addition, some pancreatic neuroendocrine
tumors may also show pseudocapillaries, which overlap with SPTP in histology.
There are significant differences in invasion, treatment and prognosis between
SPTP and PNET. While it is difficulties in the differential diagnosis of SPTP
and PNET [2]. DTI is a
magnetic resonance imaging technique for imaging the diffusion of water
molecules in living tissues. This study aimed to assess the value of the DTI
sequence to identify SPTP and PNET.Methods
17
cases of SPTP (4 male and 13 female)and 26 cases of PNET (9 male and 17 female) were
enrolled in our study. MRI scan DTI sequences was performed on a 1.5T
scanner (GE Signa HDXT). The DTI images were post-processed using FuncTool
software on AW4.6 workstation. The average DC (ADC), fractional aniso (FA), isotropic
image images (Iso), volume ratio Aniso (VRA), exponential attenuation (EA) and
T2-weightial trace (T2-T) were obtained from DTI. All the function maps were
performed by two radiologists, with 5-year and 10-year MRI diagnosis
experience, respectively. Three circular ROIs were placed in the solid part of
the lesions with an area of about 25-100 mm2(Figure
1). By Intra class
correlation coefficients (ICC) were used to test the consistency of the
measurements of two observers(ICC < 0.40,poor consistency; 0.40 ≤ ICC < 0.75
medium consistency; ICC ≥ 0.75,good consistency). Take two observers measured average statistics,the Independent t-test,
Mann-Whitney tests and Kruskal-Wallis tests were used to carry out the
comparisons among the groups, and receiver operating characteristic (ROC) curve
was used to analyze the diagnostic efficiency.Results
The results of two
observers were in good agreement (Table1).
The value of Alph in SPTP was significantly higher than that in PENT. The values
of FA and VRA on DTI in SPTP were significantly higher than those in PENT (P<0.05)(Table2). The AUC were 0.790 for FA(sensitivity69.2%,specificity
82.4%,Cutoff value ≥0.53 ) ,
0.767 for VRA (sensitivity65.4%, specificity82.4%,
Cutoff value≥0.28)
(Figure 2).Discussion
At present, all
PNET are considered to be very important differences in the risk of malignant
tumor recurrence [3]. There was no significant difference in water
molecule diffusion and microcirculation perfusion components between SPTP and
PNET. SPTP is composed of solid area, pseudopapillary area and cystic area. The
pseudopapillary structure formed by tumor cells in pseudopapillary area is a
characteristic change of the disease. According to previous studies, SPTP
pathological examination showed that tumor cells arranged orderly around the
blood vessels with complex structure [4], so the FA and VRA of SPTP
were significantly higher than those of PNET. Conclusion
FA and VRA based on DTI may be an effective method to differentiate SPTP
from PNET. It may be a significance for clinical preoperative diagnosis and
prognosis judgment.Acknowledgements
No acknowledgement found.References
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