Contrast enhanced computed tomography assessment of superficial inguinal lymph node metastasis in canine mammary gland tumors

2021 ◽  
Author(s):  
Christina Soultani ◽  
Michail N. Patsikas ◽  
Monique Mayer ◽  
Georgios M. Kazakos ◽  
Theodoros D. Theodoridis ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lymph Node ◽  
Inguinal Lymph Node ◽  
Inguinal Lymph Node Metastasis ◽  
Node Metastasis ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography ◽  
Canine Mammary Gland ◽  
Superficial Inguinal Lymph Node ◽  
Contrast Enhanced Computed Tomography

Differentiation of intrapancreatic accessory spleen from small hypervascular neuroendocrine tumor of the pancreas: textural analysis on contrast-enhanced computed tomography

2018 ◽  
Vol 60 (5) ◽  
pp. 553-560 ◽  
Author(s):  
Xubo Lin ◽  
Lei Xu ◽  
Aiqin Wu ◽  
Chuangen Guo ◽  
Xiao Chen ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lymph Node ◽  
Roc Analysis ◽  
Texture Features ◽  
Arterial Phase ◽  
Portal Phase ◽  
Contrast Enhanced ◽  
Lymph Node Enlargement ◽  
Enhanced Computed Tomography ◽  
Contrast Enhanced Computed Tomography

Background Intrapancreatic accessory spleens (IPASs) are usually misdiagnosed as pancreatic neuroendocrine tumors (PNETs). Texture analysis is valuable in tumor detection, diagnosis, and staging. Purpose To identify the potential of texture features in differentiating IPASs from small hypervascular PNETs. Material and Methods Twenty-one patients with PNETs and 13 individuals with IPASs who underwent pretreatment dynamic contrast-enhanced computed tomography (CT) were retrospectively analyzed. The routine imaging features—such as location, size, margin, cystic or solid appearance, enhancement degree and pattern, and lymph node enlargement—were recorded. Texture features, such as entropy, skewness, kurtosis, and uniformity, on contrast-enhanced images were analyzed. Receiver operating characteristic (ROC) analysis was performed to differentiate IPASs from PNETs. Results No significant differences were observed in margin, enhancement degree (arterial and portal phase), lymph node enlargement, or size between PNETs and IPASs (all P > 0.05). However, IPASs usually showed heterogeneous enhancement at the arterial phase and the same degree of enhancement as the spleen at the portal phase, both of which were greater than those of PNETs (69% vs. 35%, P = 0.06; 100% vs. 29%, P = 0.04). Entropy and uniformity were significantly different between IPASs and PNETs at moderate (1.5) and high sigma values (2.5) (both P < 0.01). ROC analysis showed that uniformity at moderate and high sigma had the highest area under the curve (0.82 and 0.89) with better sensitivity (85.0–95.0%) and acceptable specificity (75.0–83.3%) for differentiating IPASs from PNETs. Conclusions Texture parameters have potential in differentiating IPASs from PNETs.

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