Title:Predictive Factor of Tumor Aggressiveness in Patients with Extrahepatic
Cholangiocarcinoma Based on Diffusion-weighted MRI
Volume: 20
Author(s): Xinqiao Huang, Jian Shu*Jianmei Wang
Affiliation:
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, 646000, Luzhou, Sichuan, People’s Republic
of China
Keywords:
Extrahepatic cholangiocarcinoma, Neoplasm staging, Lymph node metastasis, Pathological differentiation grade, Diffusion-weighted imaging, The apparent diffusion coefficient value.
Abstract:
Background:
Extrahepatic cholangiocarcinoma (EHCC), an exceedingly malignant neoplasm, often eludes early detection, culminating in a dire prognosis.
Accurate cancer staging systems and pathological differentiation are designed to guide adjuvant interventions and predict postoperative prognoses.
Objective:
This study sought to investigate the predictive capacity of DW-MRI in discerning T stages, lymph node metastasis, and pathological differentiation
grades in patients with EHCC.
Methods:
Eighty-five patients were pathologically diagnosed with EHCC and underwent abdominal MRI within two weeks before surgery at our hospital
from Aug 2011 to Aug 2021. Tumor axial maximum area (AMA) and apparent diffusion coefficient (ADC) values for diverse T stages, N stages,
and differentiation grades were retrospectively analyzed.
Results:
The Mann-Whitney U test displayed significantly higher lesion AMA values (P =0.006) and lower tumor ADC values (P = 0.001) in the nodepositive
group (median ADC and AMA value: 1.220×10-3 mm2/s, 82.231 mm2) than in the node-negative group (median ADC and AMA value:
1.316×10-3 mm2/s, 51.174 mm2). A tumor ADC value<1.249×10-3 mm2/s from the receiver operating characteristic curve (AUC=0.725, P=0.001)
exhibited the capability to predict node-positive EHCC with a sensitivity of 64.29%, and specificity of 73.68%. Furthermore, a progressive
decrease in the degree of EHCC differentiation was associated with a reduction in the tumor ADC value (P=0.000).
Conclusion:
The N stage and differentiation of EHCC can be evaluated non-invasively using diffusion-weighted MRI.
