Eur Radiol (2014) 24:2945–2952 DOI 10.1007/s00330-014-3317-4
COMPUTED TOMOGRAPHY
Pancreatic neuroendocrine tumours: correlation between MSCT features and pathological classification Yanji Luo & Zhi Dong & Jie Chen & Tao Chan & Yuan Lin & Minhu Chen & Zi-Ping Li & Shi-Ting Feng
Received: 28 January 2014 / Revised: 10 June 2014 / Accepted: 4 July 2014 / Published online: 22 July 2014 # European Society of Radiology 2014
M. Chen e-mail: [email protected]
diagnosis of P-NENs, were included. Various MSCT features of the primary tumour, lymph node, and distant metastasis were analysed. The relationship between MSCT features and pathologic classification of P-NENs was analysed with univariate and multivariate models. Results Contrast-enhanced images showed significant differences among the three grades of tumours in the absolute enhancement (P = 0.013) and relative enhancement (P = 0.025) at the arterial phase. Univariate analysis revealed statistically significant differences among the tumours of different grades (based on World Health Organization [WHO] 2010 classification) in tumour size (P=0.001), tumour contour (P
COMPUTED TOMOGRAPHY
Pancreatic neuroendocrine tumours: correlation between MSCT features and pathological classification Yanji Luo & Zhi Dong & Jie Chen & Tao Chan & Yuan Lin & Minhu Chen & Zi-Ping Li & Shi-Ting Feng
Received: 28 January 2014 / Revised: 10 June 2014 / Accepted: 4 July 2014 / Published online: 22 July 2014 # European Society of Radiology 2014
M. Chen e-mail: [email protected]
diagnosis of P-NENs, were included. Various MSCT features of the primary tumour, lymph node, and distant metastasis were analysed. The relationship between MSCT features and pathologic classification of P-NENs was analysed with univariate and multivariate models. Results Contrast-enhanced images showed significant differences among the three grades of tumours in the absolute enhancement (P = 0.013) and relative enhancement (P = 0.025) at the arterial phase. Univariate analysis revealed statistically significant differences among the tumours of different grades (based on World Health Organization [WHO] 2010 classification) in tumour size (P=0.001), tumour contour (P
