Nobuyuki Kawai1, Yoshifumi Noda1, Tetsuro Kaga1, Yukiko Takai1, Akio Ito1, Masashi Asano1, Kimihiro Kajita2, and Masayuki Matsuo1
1Radiology, Gifu University, Gifu, Japan, 2Radiology Services, Gifu University Hospital, Gifu, Japan
Synopsis
Keywords: Liver, Liver
Motivation: Liver metastases with contrast uptake on hepatobiliary phase images in patients with pancreatic ductal adenocarcinoma (PDAC) were related to poor prognosis. Prior study focused on visual assessment of the tumor, however, reliable quantitativeness is necessary.
Goal(s): To evaluate the relationship between the gadoxetic acid uptake in liver metastases and overall survival (OS) in patients with PDAC using histogram analysis.
Approach: The best quantitative parameter was analyzed comparable with visual assessment using receiver operating characteristic curve analysis.
Results: Patients with the entropy of >5.422 in the greatest liver metastasis exhibited lower OS rates than those with ≤5.422 (mean, 9.6 months vs 37.7 months).
Impact: Liver metastases
with contrast uptake on hepatobiliary phase images were related to poor
prognosis. Entropy on histogram features in the greatest liver metastasis can
be a potential quantitative imaging biomarker to predict overall survival in
patients with pancreatic ductal adenocarcinoma.
Introduction
Pancreatic ductal
adenocarcinoma (PDAC) is the fourth leading cause of cancer-related death in
both males and females in the United States1.
Majority of the patients present with locally advanced disease or metastases
due to aggressive tumor biology which contributes to the poor prognosis. Liver
is the most common site of distant metastases in PDAC which has been reported
in approximately 80% of patients during the later stages of disease2.
Gadoxetic acid-enhanced MRI had a significantly higher sensitivity
for detecting liver metastases (92%‒98%)3-5.
In principle, non-hepatocyte origin hepatic lesions cannot actively uptake
gadoxetic acid; hence, they exhibit hypointensity on hepatobiliary phase (HBP)
images. However, various cancer cells can uptake gadoxetic acid6.
Recently, several studies have demonstrated the relationship between liver
metastases with contrast uptake on HBP images and poor prognosis7,8.
Prior study focused on visual assessment of the tumor on HBP images. Therefore,
this study aimed to evaluate quantitatively the relationship between the contrast
uptake in liver metastases on HBP images and overall survival (OS) in patients
with PDAC using the histogram analysis.Materials and Methods
This retrospective
HIPAA-compliant study was approved by our IRB, and written informed consent was
waived. Between April 2013 and May 2023, a total of 20 patients (12 men; mean
age, 69 years) with pathologically proven PDAC who underwent gadoxetic
acid–enhanced MRI and had at least one liver metastasis at presentation of
disease were included. All the 20 patients received chemotherapy as neoadjuvant
(n = 3), or palliative therapy (n = 17). HBP images were obtained 16 min
(range, 15‒25
min) after 0.1 mL/kg of gadoxetic acid using breath-hold three-dimensional
fat-suppressed axial T1-weighted imaging (section thickness, 4 mm; slice gap, -2 mm; field of view, 420
× 294 mm; matrix, 320 × 320; slice number, 90 slices). In patients with
numerous liver metastases, we counted and evaluated liver metastases up to 10
lesions per each patient. Overall, 112 liver metastases were identified in 20
patients. Among them, 45 lesions were excluded from this study because the
tumor size was too small (< 5 mm) to perform image analysis. Pathological
confirmation was obtained by US guided biopsy (n = 1), or surgical resection (n
= 2). In the remaining 17 patients, confirmation of metastases was obtained
based on a combination of typical imaging findings, and follow-up images. For qualitative image analysis,
the patterns of HBP contrast uptake in liver metastases were evaluated, and
each nodule was classified as homogeneous or heterogeneous hypointense8.
During patient-by-patient analysis, patients with only homogeneous hypointense
nodules were placed in the homogenous group, whereas patients with only
heterogeneous hypointense nodules or both patterns of nodules were placed in
the heterogeneous group. For quantitative assessment, maximum diameter, histogram
features, and signal-to-noise ratio (SNR) of the liver metastasis, and tumor-to-liver
contrast-to-noise ratio (CNR) were evaluated. We analyzed the best quantitative parameter in the greatest liver
metastasis compared with qualitative analysis using ROC curve analysis. Kaplan–Meier analysis and log-rank test for
univariate analysis and Cox proportional hazards regression for multivariate
analysis were conducted to evaluate prognostic factors.Results
A total of 67
liver metastases were analyzed, among which 33 nodules (49%) demonstrated
heterogeneous hypointensity, while 34 nodules (51%) demonstrated homogeneous
hypointensity (Table 1). Homogeneous hypointense nodules were encountered in 14
patients (70%; homogeneous group, Fig. 1), heterogeneous in 4 patients (20%),
and both patterns co-existed in 2 patients (10%; heterogeneous group, Fig. 2).
The heterogeneous group exhibited lower OS rates than the homogeneous group (mean
OS, 8.5 months vs 35.0 months; p = 0.011). ROC curve analysis revealed that
the best quantitative parameter for the greatest liver metastasis was entropy
as histogram features (AUC, 0.869; p = 0.011). Using the cut off value, entropy of >5.422 in the greatest liver metastasis exhibited lower OS rates
than that of ≤5.422 (mean OS, 9.6 months vs 37.7 months; p = 0.009) (Table
2 and Fig. 3).Discussion
Our study demonstrated that patients with PDAC who present heterogeneous
hypointense liver metastasis on HBP images are associated with lower OS rate
than patients with homogeneous hypointense nodules, and these results were comparable
with prior study8. In addition, we obtained
reliable quantitative parameter to predict prognosis for patients with PDAC and
liver metastasis. Entropy is a scientific concept that is most associated with
a state of randomness. It is reasonable to assume that entropy
represents heterogeneity of the liver metastases with contrast uptake on HBP
images.Conclusion
Entropy on histogram features in the greatest liver metastasis on HBP images can be a potential quantitative imaging biomarker to predict OS in patients with PDAC and liver metastasis.Acknowledgements
The authors of
this abstract declare no relationships with any companies whose products or
services may be related to the subject matter of the article.References
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