Diagnostic accuracy of contrast-enhanced computed tomography for assessment of mandibular and medial retropharyngeal lymph node metastasis in dogs with oral and nasal cancer

2018 ◽  
Vol 16 (4) ◽  
pp. 562-570 ◽  
Author(s):  
O. T. Skinner ◽  
S. E. Boston ◽  
R. F. Giglio ◽  
E. M. Whitley ◽  
J. C. Colee ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Diagnostic Accuracy ◽  
Retropharyngeal Lymph Node ◽  
Node Metastasis ◽  
Nasal Cancer ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography ◽  
Contrast Enhanced Computed Tomography

scholarly journals Neuroendocrine tumor of the small intestine diagnosed with trans-abdominal ultrasonography: A case report

2020 ◽  
Author(s):  
Kazuma Tsujimura ◽  
Yasukatsu Takushi ◽  
Atsushi Nakachi ◽  
Tsuyoshi Teruya ◽  
Kouji Iha
Keyword(s):  
Small Intestine ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Neuroendocrine Tumor ◽  
Clinical Symptoms ◽  
Abdominal Ultrasonography ◽  
Node Metastasis ◽  
Tumor Lesion ◽  
Contrast Enhanced ◽  
Enhanced Computed Tomography

Tumors of the small intestine are rare. In addition, clinical symptoms are nonspecific and neoplasm-related symptoms occur late. We report a case of neuroendocrine tumor (NET) of the small intestine that was diagnosed early with trans-abdominal ultrasonography (US). The patient was a 61-year-old man. Abdominal contrast-enhanced computed tomography (CT) was performed because the patient complained of abdominal pain. The CT showed a tumor lesion in the mesentery. Trans-abdominal US was undertaken to evaluate this tumor lesion, and a tumor lesion of the small intestine was found nearby. A diagnosis of lymph-node metastasis of a small-intestine tumor was made as a preoperative diagnosis. A laparotomy was performed with partial resection of the ileum, together with the small-intestine mesentery including an enlarged lymph node. Histological examination revealed NET of the ileum and lymph-node metastasis. Trans-abdominal US is useful in the diagnosis of small-intestine NET.

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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