Alana Thibodeau-Antonacci1,2, Léonie Petitclerc1,2, Guillaume Gilbert3, Laurent Bilodeau2, Hélène Castel4, Simon Turcotte5, Damien Olivié2, Catherine Huet2, Pierre Perreault2, Gilles Soulez2, An Tang1,2, and Samuel Kadoury1,2,6
1Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada, 2Radiology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada, 3Philips Healthcare Canada, Markham, ON, Canada, 4Gastroentology and Hepatology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada, 5Surgery, Hepatopancreatobiliary and Liver Transplantation Division, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada, 6Polytechnique Montréal, Montreal, QC, Canada
Synopsis
Hepatocellular
carcinoma response to transarterial chemo-embolization is traditionally assessed
by qualitative interpretation of imaging features and
enhancement dynamics. However, quantitative parameters derived by
fitting a dual-input single-compartment model on dynamic contrast-enhanced-MRI
data show promise, as they may help discriminate
non-viable from viable tumors after treatment. Peak enhancement ratio
significantly decreased after transarterial
chemo-embolization in tumors with complete response (i.e.
non-viable tumor group). This pilot study
suggests that quantitative dynamic contrast-enhanced-MRI
parameters may be used to assess treatment response.
Intended audience
Physicians (radiologists, interventional
radiologists, hepatologists, oncologists), image analysts, and physicists with
an interest in dynamic contrast-enhanced MRI. Background
Hepatocellular carcinoma (HCC) is the 6th
most common cancer and the 2nd leading cause of cancer mortality
worldwide.1 Transarterial chemo-embolization (TACE) is the
first-line of treatment recommended for
intermediate stage HCC, defined as multinodular tumor and reasonable liver
function (Child-Pugh score of A or B) in asymptomatic patients.2 The traditional
approach to diagnosis
and assesssment of
the treatment response of HCC is to
perform contrast-enhanced (DCE)-MRI with higher spatial resolution, but low
temporal resolution (i.e. 4-5 time points spaced 30 seconds apart) for
qualitative interpretation of active HCC tumor. Alternatively, DCE-MRI using
higher temporal resolution may be used to derive objective quantitative metrics
of active HCC tumor3.
Purpose
The purpose of this study was to evaluate the
diagnostic performance of quantitative DCE-MRI perfusion parameters for assessing
tumor response of HCC to TACE. Method
This single-site prospective study was approved by our institutional
review board. All subjects provided written and informed consent. Patients scheduled for TACE treatment according to their
clinical standard of care were eligible in this study. They underwent a
pre-treatment MRI within 2 weeks prior to TACE and a follow-up examination 6 to
8 weeks after TACE. Imaging was performed on a 3.0
T MRI system (Achieva TX, Philips Healthcare, Best, The Netherlands). Prior
to contrast injection, T1 mapping was performed using the multiple flip-angle
method with 3D mDixon acquisitions with
flip angles of 4, 10 and 20 degrees. After
injection of gadobenate dimeglumine (MultiHance®, Gd-BOPTA, Bracco Imaging SpA,
Milan, Italy), a dynamic 4D mDixon imaging scheme was used. Images were
acquired over 10 consecutive breath-holds at end-expiration extending up to
approximately 5 minutes after injection. All but
the first breath-holds consisted of two keyhole acquisitions as well as an
acquisition of the entire k-space. Two extra keyhole acquisitions were performed for the first
breath-hold, to ensure a better evaluation of
the arterial phase. Imaging parameters are listed in Figure 1. A motion compensation
software (MoCo, Corstem, Montreal, Canada) was used to register all images using
nonrigid, subpixel deformation maps (Figure 2).4 After motion correction, four regions of interest
(ROI) were drawn on multiple slices on
the abdominal aorta, portal vein, liver parenchyma and liver tumors (annotated
by fellowship-trained abdominal radiologists) to create
time-intensity curves. A
nonparametric analysis was performed on experimental data of signal intensity
to extract empirical parameters: time-to-peak, peak enhancement ratio, normalized
maximum intensity time ratio, wash-in and
wash-out slopes. Signal intensity for ROIs described above was converted to concentration of contrast agent using a
linear conversion with T1 mapping. A dual-input single-compartment model was
fitted to data to
calculate the transfer constants from the blood vessels to the
surrounding tissue, and the transfer constant from the liver tissue
to the central vein5,
from which it is possible to deduce
the tissue blood flow as well as the arterial fraction.6 The
reference standard for response to TACE was the
interpretation by radiologists of individual tumor response
according to LI-RADS v2017 treatment response criteria. Radiologists were blinded to the results of the
DCE-MRI analysis and the research assistant
performing DCE-MRI was blinded to the interpretation of radiologists.
The comparisons
within groups (before vs. after treatment) and between groups (non-viable
vs. viable
tumor) were performed with paired and unpaired Wilcoxon
rank tests respectively. Diagnostic performance of parameters was explored by
receiver
operating characteristic (ROC) analysis.
Results
Twelve patients totaling 18 HCC with size ranging from 12 to 87
mm were included in this pilot study. Figure
3 shows concentration curves for
individual tumors and averaged for all tumors. Table 1 summarizes nonparametric and
parametric analyses for the two groups (non-viable
vs. viable tumors)
at baseline and after treatment. Peak enhancement
ratio, normalized maximum intensity time ratio, wash-in, ka,
blood flow and arterial fraction significantly decreased (P < 0.05) and time to peak significantly increased (P = < 0.01) after treatment for
non-viable tumors. Time to
peak also significantly increased after treatment for
viable tumors (P = 0.03). Change in peak enhancement ratio
was significantly different between groups (P
= 0.05). Figure 4 shows the
ROC curves of non-parametric and parametric analyses for differentiation of non-viable
vs. viable
tumors. The peak enhancement ratio provided the highest area under
the ROC curve (AUC = 0.69).Conclusion
This study shows that several perfusion
parameters measured by DCE-MRI may vary after TACE treatment for HCC.6, 7 In particular, the
peak enhancement ratio may be used for objective assessment of tumor response. Further
prospective validation is required.Acknowledgements
This work has been supported by an Operating
Grant from the Canadian Institutes of Health Research (CIHR)-Operating Grant (CIHR #340909).
An Tang is supported by
a Career Award from the Fonds de recherche du Québec en Santé and Association
des Radiologistes du Québec (FRQS-ARQ #34939) and a New Researcher Startup
Grant from the Centre de Recherche du Centre Hospitalier de l'Université de
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