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Published on: April 18, 2015
Quantitative parameters of magnetic resonance imaging cannot predict human epidermal growth factor receptor 2 (HER2)
Zhenhuan Huang1, Xuezhao Tu2, Qi Lin1
1Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 North 91 Road, Xinluo District, Fujian 364000, China.
Purpose:
To retrospectively investigate whether magnetic resonance imaging (MRI) quantitative parameters can differentiate human epidermal growth factor receptor 2 (HER2) status in rectal cancer.
Materials And Methods:
This study included 89 patients with surgically confirmed rectal cancer who underwent preoperative MRI from June 2014 to May 2019. Patients were divided into three groups: HER2 negative (HER2-Neg); HER2-low expression (HER2-L); and HER2 positive (HER2-Pos). Quantitative perfusion parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) Tofts model (pharmacokinetic blood dual compartment model) were listed as follows: volume transfer constant (Ktrans), rate constant (Kep), and extracellular volume ratio (Ve). The mean, minimum, and maximum apparent diffusion coefficient (ADC) values at standard (800 s/mm2) b-values were obtained with diffusion-weighted imaging (DWI). Clinicopathologic characteristics and quantitative parameters were compared by Fisher's exact test and one-way analysis of variance (ANOVA), respectively.
Results:
The 89 patients included 52 (58.4%) with HER2-Neg, 31 (34.8%) with HER2-L, and 6 (6.8%) with HER2-Pos states. Fisher's exact test showed that clinicopathologic characteristics among the three groups were not significantly different (p = 0.281 to 1.000). Likewise, there were no associations between HER2 status and any quantitative parameters, including Ktrans (p = 0.296), Kep (p = 0.290), Ve (p = 0.184), ADCmean (p = 0.181), ADCmin (p = 0.143), or ADCmax (p = 0.058).
Conclusion:
Quantitative perfusion parameters (Ktrans, Kep, Ve) and ADC values were not able to discriminate HER2 status in patients with rectal cancer or evaluate treatment response in real time.
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