Ying Zhao1, Ailian Liu1, Wenjing Qi2, Xue Ren1, Tao Lin1, and Qingwei Song1
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Pathology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
Synopsis
Cytokeratin
19 (CK19) is well acknowledged as a biliary/progenitor cell marker and a marker
of tumor stem cell. CK19-positive HCCs demonstrate more aggressive behaviors
and poorer outcomes. This worked aimed at exploring the value of intravoxel incoherent motion
(IVIM) diffusion-weighted (DW) magnetic resonance (MR) imaging in the diagnosis
of CK19-positive HCC. The results showed that Slow ADC Mono and Slow ADC Bi were
significantly different between the CK19-positive and CK19-negative HCC
groups. The area under the curves (AUCs) of Slow ADC Mono, Slow ADC Bi,
and combine (Slow ADC Mono & Slow ADC Bi) were 0.817, 0.988, and 0.992,
respectively.
Purpose
To explore the value of intravoxel incoherent motion
(IVIM) diffusion-weighted (DW) magnetic resonance (MR) imaging for the
diagnosis of CK19-positive
hepatocellular carcinoma (HCC).Introduction
Hepatocellular carcinoma
(HCC) is the fifth most common malignancy and the third cause of cancer-related
death worldwide [1,2]. The heterogeneity of HCC commonly leads to
therapeutic failure of HCC. Cytokeratin 19 (CK19) is well acknowledged as a
biliary/progenitor cell marker and a marker of tumor stem cell. CK19-positive
HCCs demonstrate more aggressive behaviors and poorer outcomes which including
worse overall survival and early tumor recurrence after hepatectomy and liver
transplantation [3]. Therefore, the accurate identification of
CK19-positive HCC is of great significance. IVIM DW imaging is a method initially developed by Le Bihan et al. [4,5]
to quantitatively assess the microscopic translational motions that occur in
each image voxel at MRI, which can distinguish both pure molecular diffusion
and microcirculation, or blood perfusion. In the present study, IVIM maybe is a
more appropriate and accurate technique to preoperatively identify
CK19-positive HCC. Methods
From October 2015 to July
2020, this retrospective study collected 38 patients who were pathologically
confirmed as HCC at our hospital, including 8 CK19-positive HCCs (4 males; age,
(65.88 ± 6.01) years old) and 30 CK19-negative HCCs (21 males; age, (60.27 ±
10.21) years old). All patients underwent abdominal MR examinations (Signa
HDxt, GE Medical Systems, USA), including T1WI, T2WI,
contrast-enhanced MR, and additional IVIM-DWI (b = 0, 20, 50, 100, 150, 200,
400, 800, 1200, 2000, 3000 s/mm2). Quantitative IVIM-derived maps,
including Standard apparent diffusion coefficient (ADC), Slow ADC Mono, Fast
ADC Mono, Fraction of Fast ADC Mono, Slow ADC Bi, Fast ADC Bi, and Fraction of
Fast ADC Bi, were automatically generated from IVIM DW imaging by using a
Functool software on GE AW 4.6 workstation. Referencing to DW images, the
region of interest (ROI) were placed on the maximum axial slice of the lesion
(Figure 1 and 2). All statistic analyses were analyzed using SPSS 22.0
software. The above parameters between CK19-positive and CK19-negative HCC
groups were compared using Mann-Whitney U test. The logistic regression
analysis was used to establish a predictive model of combining different
parameters. Receiver operating characteristic (ROC) analysis was performed to
evaluate diagnostic performance. The Delong’s test was used to compare the AUCs
of different parameters.Results
The Slow ADC Mono and Slow
ADC Bi of CK19-positive HCC group were lower than those of CK19-negative HCC
group (P < 0.05, shown in Table 1). The remaining parameters were not
significantly different between the two groups (P > 0.05). The area
under the curve (AUC) of Slow ADC Mono and Slow ADC Bi for the identification
of CK19-positive and CK19-negative HCCs were 0.817 and 0.988, respectively.
When combined Slow ADC Mono with Slow ADC Bi, the diagnostic performance was
improved (AUC, 0.992). Delong’s test demonstrated that combine (Slow ADC Mono
& Slow ADC Bi) and Slow ADC Bi had significantly higher AUCs compared with
the Slow ADC Mono (P < 0.05, shown in Table 2). ROC curve for the
discrimination of CK19-positive and CK19-negative HCCs is shown in Figure 3.Discussion and Conclusion
CK19-positive HCC is known
as biphenotypic HCC; that is, having the pathological features of both HCC and
cholangiocarcinoma (CC). These group of patients often show worse outcomes as
compared to the CK19-negative HCC patients. This study demonstrated that Slow
ADC Mono and Slow ADC Bi of IVIM-DWI might be potential biomarkers in
the discrimination of CK19-positive and CK19-negative HCCs, which may provide
more prognosis formation and guide the clinical-decision making.Acknowledgements
NoneReferences
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