The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis

被引:43
作者
Guo, Chuangen [1 ]
Zhuge, Xiaoling [2 ]
Wang, Qidong [1 ]
Xiao, Wenbo [1 ]
Wang, Zhonglan [3 ]
Wang, Zhongqiu [3 ]
Feng, Zhan [1 ]
Chen, Xiao [3 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 1, Dept Radiol, Coll Med, 79 Qingchun Rd, Hangzhou 310003, Zhejiang, Peoples R China
[2] Zhejiang Univ, Dept Lab Med, Affiliated Hosp 1, Coll Med, 79 Qingchun Rd, Hangzhou 310003, Zhejiang, Peoples R China
[3] Nanjing Univ Chinese Med, Dept Radiol, Affiliated Hosp, 155 Hanzhong Rd, Nanjing 210029, Jiangsu, Peoples R China
来源
CANCER IMAGING | 2018年 / 18卷
关键词
Pancreatic neuroendocrine carcinoma; Pancreatic ductal adenocarcinoma; Computed tomography; Texture analysis; APPARENT DIFFUSION-COEFFICIENT; TUMOR GRADE; HISTOGRAM ANALYSIS; ENDOCRINE TUMORS; PREDICTION; NEOPLASMS; MR;
D O I
10.1186/s40644-018-0170-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Imaging findings for pancreatic neuroendocrine carcinoma (PNEC) and pancreatic ductal adenocarcinoma (PDAC) often overlap. The aim of this study was to demonstrate the value of computed tomography (CT) imaging features and texture analysis to differentiate PNEC from PDAC. Methods: Twenty-eight patients with pathologically-proved PDAC and 14 patients with PNEC were included in this study. CT imaging findings, including tumor boundary, size, enhancement degree, duct dilatation and parenchymal atrophy were used to compare PDAC and PNEC. CT texture features were extracted from CT images at the arterial and portal phases. Results: More PNEC than PDAC had well-defined margins (57.1% vs 25.0%, p = 0.04). Parenchymal atrophy was more common in PDAC than in PNEC (67.9% vs 28.1%, p = 0.02). CT attenuation values (HU) and contrast ratios of PNEC in the arterial and portal phases were higher than those of PDAC (p < 0.05 or 0.01). Entropy was lower and uniformity was higher in PNEC compare to PDAC at the arterial phase (p < 0.05). Contrast ratio showed the highest area under curve (AUC) for differentiating PNEC from PDAC (AUC = 0.98-0.99). Entropy and uniformity also showed an acceptable AUC (0.71-0.72). Conclusions: Our data indicate that CT imaging features, including tumor margin, enhanced degree and parenchymal atrophy, as well as texture parameters can aid in the differentiation of PNEC from PDAC.
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页数:6
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共 19 条
[1]   Prediction of Pancreatic Neuroendocrine Tumor Grade Based on CT Features and Texture Analysis [J].
Canellas, Rodrigo ;
Burk, Kristine S. ;
Parakh, Anushri ;
Sahani, Dushyant V. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 210 (02) :341-346
[2]   Contrast enhancement pattern on multidetector CT predicts malignancy in pancreatic endocrine tumours [J].
Cappelli, Carla ;
Boggi, Ugo ;
Mazzeo, Salvatore ;
Cervelli, Rosa ;
Campani, Daniela ;
Funel, Niccola ;
Contillo, Benedetta Pontillo ;
Bartolozzi, Carlo .
EUROPEAN RADIOLOGY, 2015, 25 (03) :751-759
[3]   Pancreatic neuroendocrine tumor: prediction of the tumor grade using CT findings and computerized texture analysis [J].
Choi, Tae Won ;
Kim, Jung Hoon ;
Yu, Mi Hye ;
Park, Sang Joon ;
Han, Joon Koo .
ACTA RADIOLOGICA, 2018, 59 (04) :383-392
[4]   Can histogram analysis of MR images predict aggressiveness in pancreatic neuroendocrine tumors? [J].
De Robertis, Riccardo ;
Maris, Bogdan ;
Cardobi, Nicolo ;
Martini, Paolo Tinazzi ;
Gobbo, Stefano ;
Capelli, Paola ;
Ortolani, Silvia ;
Cingarlini, Sara ;
Paiella, Salvatore ;
Landoni, Luca ;
Butturini, Giovanni ;
Regi, Paolo ;
Scarpa, Aldo ;
Tortora, Giampaolo ;
D'Onofrio, Mirko .
EUROPEAN RADIOLOGY, 2018, 28 (06) :2582-2591
[5]   Imaging mimics of pancreatic ductal adenocarcinoma [J].
Gandhi, Namita S. ;
Feldman, Myra K. ;
Le, Ott ;
Morris-Stiff, Gareth .
ABDOMINAL RADIOLOGY, 2018, 43 (02) :273-284
[6]   Targeted Therapies Provide Treatment Options for Poorly Differentiated Pancreatic Neuroendocrine Carcinomas [J].
Gilabert, Marine ;
Rho, Young Soo ;
Kavan, Petr .
ONCOLOGY, 2017, 92 (03) :170-172
[7]   Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance imaging: The value of contrast-enhanced and diffusion weighted imaging [J].
Guo, Chuangen ;
Chen, Xiao ;
Wang, Zhongqiu ;
Xiao, Wenbo ;
Wang, Qidong ;
Sun, Ke ;
Zhuge, Xiaoling .
ONCOTARGET, 2017, 8 (26) :42962-42973
[8]   Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images? [J].
Hodgdon, Taryn ;
McInnes, Matthew D. F. ;
Schieda, Nicola ;
Flood, Trevor A. ;
Lamb, Leslie ;
Thornhill, Rebecca E. .
RADIOLOGY, 2015, 276 (03) :787-796
[9]   Advances in the diagnosis and treatment of pancreatic neuroendocrine neoplasms in Japan [J].
Ito, Tetsuhide ;
Hijioka, Susumu ;
Masui, Toshihiko ;
Kasajima, Atsuko ;
Nakamoto, Yuji ;
Kobayashi, Noritoshi ;
Komoto, Izumi ;
Hijioka, Masayuki ;
Lee, Lingaku ;
Igarashi, Hisato ;
Jensen, Robert Thomas ;
Imamura, Masayuki .
JOURNAL OF GASTROENTEROLOGY, 2017, 52 (01) :9-18
[10]   Nonhypervascular Pancreatic Neuroendocrine Tumors: Differential Diagnosis from Pancreatic Ductal Adenocarcinomas at MR Imaging-Retrospective Cross-sectional Study [J].
Jeon, Sun Kyung ;
Lee, Jeong Min ;
Joo, Ijin ;
Lee, Eun Sun ;
Park, Hyun Jeong ;
Jang, Jin-Young ;
Ryu, Ji Kon ;
Lee, Kyung Bun ;
Han, Joon Koo .
RADIOLOGY, 2017, 284 (01) :77-87