Original Article
Correlation between quantitative perfusion histogram parameters of Dynamic Contrast-Enhanced MRI and tumor tissue microvessel density in patients with lung cancer
Haijia Mao, Zhenhua Zhao, Yanan Huang, Yaping Zhang, Minxia Yang, Guangmao Yu, Cheng Wang, Minming Zhang
Published 2019-07-25
Cite as Chin J Thorac Cardiovasc Surg, 2019, 35(7): 396-401. DOI: 10.3760/cma.j.issn.1001-4497.2019.07.003
Abstract
ObjectiveTo investigate the correlation between quantitative perfusion histogram parameters of DCE-MRI and tumor tissue microvessel density(MVD) in patients with lung cancer.
Methods30 patients with lung cancer confirmed by pathology who underwent preoperative DCE-MRI were enrolled in this retrospective study. Quantitative perfusion histogram parameters(including median, mean, skewness, kurtosis, energy, entropy) were measured for each patient using Exchange modle. Using the Immunohistochemical method to detect the expression of CD34 in tumor tissue, and counting the number of microvessels under microscope. SPSS 19.0 was used to carry out statistical analysis. The correlation between MVD and quantitative perfusion histogram parameters of DCE-MRI measured by exchange model was evaluated by Pearson linear correlation analysis.
ResultsThere was no significant difference in MVD and each quantitative perfusion histogram parameters between the three different pathological groups of lung cancer(P>0.05). Ktrans perfusion histogram parameters(mean, 25%, 50%, 50%, 75%, 90%, 95%), Kep perfusion histogram parameters(entropy, 10%, 25%, 50%, 75%, 90%), Fp perfusion histogram parameters(mean, 25%, 50%, 75%, 90%, 95%) and Vp perfusion histograms parameters(entropy, 75%, 90%, 95% ) were positively correlated with MVD(P<0.05). Ktrans perfusion histogram parameters(energy) and Vp perfusion histogram parameters(skewness, kurtosis, energy) were negatively correlated with MVD(P<0.05). There was no significant correlation between Ve perfusion histogram parameters and MVD(P>0.05).
ConclusionThere was a certain correlation between the perfusion histogram parameters of DCE-MRI and MVD, suggesting that the quantitative perfusion histogram of DCE-MRI in lung cancer can reflect the MVD value of cancer tissue.
Key words:
Lung cancer; Histogram; Microvessel density; Magnetic resonance imaging
Contributor Information
Haijia Mao
Department of Radiology, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Zhenhua Zhao
Department of Radiology, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Yanan Huang
Department of Radiology, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Yaping Zhang
Department of Radiology, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Minxia Yang
Department of Radiology, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Guangmao Yu
Department of Thoracic Surgery, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Cheng Wang
Department of Pathology, Zhejiang University School of Medicine, Shaoxing People's Hospital, Shaoxing 312000, China
Minming Zhang
Department of Radiology, the Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China