dejun she1, dairong cao1, shan lin1, zhongshuai zhang2, and Robert Grimm3
1The First Affiliated Hospital of Fujian Medical University, Fujian Fuzhou, China, 2SIEMENS healthcare diagnostic imaging, Shanghai, Pudong, Zhouzhu Highway 278, China, 3SIEMENS Healcare, Erlangen, Germany
Synopsis
To explore the correlations between parameters derived from conventional
diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and
diffusion kurtosis imaging (DKI) with histopathologic features of pediatric
intracranial tumors.
Introduction
Pediatric intracranial
tumors (PIT) are the second most common cancers with the highest mortality among
children1. Conventional
diffusion-weighted imaging (DWI), which assumes that water molecular diffusion follows
a Gaussian distribution, could noninvasively provide additional functional information
within tumor2.
However, the ADC value
calculated using the monoexponential model may not accurately reflect the water
molecular diffusion behaviour due to the influence of capillary microcirculation
and complex cellular microstructural barriers within tumor. Previous researchers have suggested that intravoxel incoherent motion (IVIM)
and diffusion kurtosis imaging (DKI) might provide a more accurate illumination
of water molecular diffusion behaviour3-5. Therefore, the aim of this study is to
explore the correlations between parameters derived from conventional DWI, IVIM, and DKI with histopathologic features of pediatric intracranial tumors.Methods
Fifty-seven pediatric patients with histologically proved intracranial tumors
underwent conventional DWI, IVIM and DKI were recruited in this study. All patients
underwent MR examinations with a 3T MR scanner (Magnetom Skyra, Siemens Healthcare,
Erlangen, Germany) using a 20-channel head/neck coil. Routine MR sequence were conducted,
including axial T2-weighted imaging, axial susceptibility weighted imaging, and
pre- and post-contrast axial T1-weighted imaging.
Multiple b-values DWI was performed using
a single-shot echo planar imaging sequence in the axial plane. The detailed
imaging parameters were as follow: repetition time/echo time=5000 ms/78 ms, field
of view = 220 mm×220 mm, acquisition matrix = 150 × 135, parallel acceleration
factor = 2, slice thickness = 5 mm, gap = 1 mm and acquisition time=8 min 25 s.
13 different b values (b = 0, 50, 100, 150, 200, 300, 400, 600, 800, 1000, 1400
and 2000 s/mm2 with number of signal averages of 2, 2, 2, 2, 2, 2,
2, 2, 2, 3, 3, 4, 4, respectively) were applied.
For post-processing, the conventional DWI [apparent diffusion coefficient (ADC)], IVIM [pure
diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion
fraction (f)] and DKI [diffusion kurtosis (K) and diffusion coefficient (Dk)]
parameters were calculated using a prototype software (Body diffusion toolbox, Siemens Healcare, Erlangen, Germany), and the quantitative diffusion values in the solid component of tumors were measured. Histopathologic features,
including cellularity, Ki-67, and microvessel density were measured. These parameters
were compared between the low-and high-grade pediatric intracranial tumors by
using the Mann-Whitney U test. Spearman correlations, receiver-operating
characteristic analysis, and multiple logistic regression were performed.Results
The the calculated diffusion parameters of two representative patients were also shown (Figure 1 and 2). The ADC, D and Dk values were lower, whereas K value was higher in high-grade
pediatric brain tumors than those in low-grade pediatric brain tumors (all p
<0.05). The K value was positively correlated with the cellularity and Ki-67
(rho = 0.656~0.752), while the ADC, D and Dk values were negatively correlated
with the cellularity and Ki-67 (rho = -0.514~-0.698). The AUC values of ADC, D,
Dk and K values were 0.825, 0.821, 0.804, and 0.846 for differentiating
high-grade from low-grade pediatric brain tumors, respectively. A higher K value
(K > 0.745) independently predicted a high-grade pediatric intracranial tumors
[odds ratio (OR) = 40.29, p <.001]. Discussion & Conclusions
Compared with other diffusion metrics, K value may serve as the
strongest independent factor for predicting pediatric intracranial tumors
grade. Moreover, the diffusion metrics may potentially reflect tumor cellularity
and Ki-67.Acknowledgements
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subjectmatter of the article. The authors state that this work has not received any funding. No complex statistical methods were necessary forthis paper. Institutional Review Board approval was not required because this was a retrospective study. No study subjects or cohortshave been previously reported.References
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