HAO FU1,2, Chenxia Li1, Rong Wang1, Jianxin Guo1, Bilgin Keserci3, and Jian Yang1
1Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, xi'an, China, People's Republic of, 2MR Marketing, Philips Healthcare, xi'an, China, People's Republic of, 3MR Therapy Clinical Science, Philips Healthcare, Seoul, Korea, Republic of
Synopsis
The
aim of the study was to investigate the variation among screening fibroids
through analysis of ADC histogram, in order to predict fibroids residual NPV
proportion (residual NPV%=NPV at 6 months follow up/ NPV immediately after
treatment ) and patients Symptom Severity
Score (SSS).
Thirty five patients who accepted MRgHIFU ablation were divided into group 1
(residual NPV%≥20%)
of 19 patients and group 2 (residual NPV%<20%) of 16
patients, respectively. The SSS of
patients were obtained at two time-point, screening and 6 months follow up.
ADCmean, ADCq,
kurtosis and skewness are derived from ADC histogram. The results showed that values
of ADCmean, ADCq and kurtosis were significant difference between two groups. The
average SSS reduction of group 1 between pre and post treatment was more
obvious than that of group 2. Therefore, histogram analysis of ADC maps can provide
the quantitative information to predict fibroids ablation outcome and patients
symptom relief, which may be indicated as a useful screening tool to guide
patients selection for MRgHIFU ablation.Introduction
Magnetic resonance-guided high-intensity
focused ultrasound (MRg HIFU) ablation is currently emerging nonsurgical
options in the treatment of uterine fibroids, but poor therapeutic responses
are shown on some fibroids with certain properties that are known to be
resistant to HIFU heating. It’s necessarily to choose suitable fibroids prior
to MRg HIFU treatment by mean of screening MR examinations[1]. When
post-treatment, nonperfused volume (NPV) of fibroids calculated from the CE-T1WI
and symptom severity score (SSS) of patients obtained from the Fibroid
Symptoms quality Of Life Questionnaire are the important indexes to
evaluate therapeutic effect of fibroids and symptom relief of patients,
respectively[2,3]. 3D histogram of apparent diffusion
coefficient (ADC) analyzes the ADC values of the entire volume of the tumor,
which could provide quantitative information about the tissue characteristics
and heterogeneity[4,5]. Therefore, the aim of the study
is to investigate the variation among screening fibroids through analysis of
ADC histogram, in order to predict fibroids residual NPV proportion (residual
NPV%=NPV at 6 months follow up/ NPV immediately after treatment ) and patients
SSS, and expect to acquire the quantitative indication for selecting suitable
fibroids to MRgHIFU ablation.
Materials
and Methods
Thirty five patients
with 35 fibroids were treated by HIFU ablation on a clinical MR-guided HIFU
system (Sonalleve; Philips Medical Systems, Vantaa, Finland). All MR images
were acquired with Philips 1.5T MR scanner (Achieva, Philips Medical Systems,
Best, the Netherlands). The axial DWIs with b factors as 0 and 700 s/mm2
were obtained from screening fibroids. CE-T1WIs were scanned immediately after
treatment and 6 months follow up. Quality of life outcomes, measured by the SSS
were assessed at screening and
6 months follow up. The NPV were calculated
at MR console immediately after treatment and 6 months follow up, respectively,
and residual NPV% were obtained with Excel. ADCmean (mean ADC value of whole
fibroid)、ADCq (the distance
between the 25th percentile and the 75th percentile voxel in one lesion)、kurtosis
(the degree of distribution peakedness) and skewness
(a measure of distribution asymmetry) derived from ADC histogram were acquired
using three softwares: ImageJ, Excel, SPSS. Patients were stratified into two
groups based on the residual NPV%. Group 1 had a residual NPV% of 20% or
greater (mean 39.70%, n=19), and group 2 had residual NPV% less than 20% (mean
8.64%, n=16). The differences of ADCmean,ADCq, kurtosis and skewness between
two groups were tested by t-test. The differences of the SSS between screening
and 6 months follow up were also compared by t-test, not only total patients
but subdivided groups. Statistical differences with P<0.05 were considered
significant.
Results
The quantitative
histogram parameters (ADCmean, ADCq, kurtosis and
skewness) and patients age of two groups were shown in Table 1 as mean± standard deviation. There were significant
differences of ADCmean, ADCq, kurtosis between two groups (Fig 1). At 6 months
follow up, the average SSS of all the patients in this study(23.37±10.71)
was significant less than that at screening (31.23±14.17),
p=0.011. In group 1, the average SSS of 6 months follow up (23.57±9.97)
was also less than that of screening (33.11±12.92),
p=0.015. But in group 2, there were not significant differences of the SSS
between post-treatment(23.13±11.87) and
screening(29.00±15.65), p=0.241(Fig
2).
Discussion and
Conclusion
3D histogram analysis
of ADC values can objectively assesses the tissue inherent characteristics and heterogeneity
of the whole fibroid. Residual NPV% reveals the extent of myoma necrosis after
thermal ablation, which is important index to assess the treatment response of
MRg HIFU ablation. The bigger of residual NPV proportion, the better of
ablation outcome, meanwhile the more extent of patient symptom relief. The
lower ADCmean of group 1 revealed fibroids containing less smooth muscle cells,
abundant collagen fibers, which was beneficial to the deposition of ultrasonic
heat. It was one of the reasons of group 1 to achieve good residual NPV%. The
average value of kurtosis in group 1 was -0.0352, which was very close to the
Gauss distribution, revealing the uniformity in structure.Contrarily, the
kurtosis in group 2 was significant high, and ADCq of group 2 was lower than that
of group 1 accordingly, which reveled the heterogeneity of group 2 fibroids. It
may be the reason of group 2 to obtain low residual NPV% and unobvious symptom
relief. In sum, histogram analysis of ADC can provide the quantitative
information to predict fibroids ablation outcome and patients symptom relief,
which may be indicated as a useful screening tool to guide patients selection
for MRgHIFU ablation.
Acknowledgements
NOReferences
[1].
Kim Y S, Lee J W, Choi C H, et al. Radiology, 2015.
[2].
Stewart E, Gostout B J, Kim H, et al.Obstetrics & Gynecology, 2007,
110(2,):279-287.
[3]. Lenard Z, Mcdannold N F,
Stewart E, et al.Radiology, 2008, 249(1):187-194.
[4]. Kang Y, Choi SH, Kim YJ,
et al. Radiology,2011;261(3):882-890.
[5]. Cristina R, Ferruh A, Petros
M, et al. Investigative Radiology, 2012, 47(8):490-496.