Relative Enhancement Ratio of Portal Venous Phase to Unenhanced CT in the Diagnosis of Lipid-poor Adrenal Adenomas

Radiology ◽  
2021 ◽  
pp. 210231
Author(s):  
Yasunori Nagayama ◽  
Taihei Inoue ◽  
Yuki Kato ◽  
Shota Tanoue ◽  
Masafumi Kidoh ◽  
...  
Keyword(s):  
Enhancement Ratio ◽  
Portal Venous Phase ◽  
Unenhanced Ct ◽  
Relative Enhancement ◽  
Venous Phase

Value of CT Imaging in the Differentiation of Gastric Leiomyoma From Gastric Stromal Tumor

2020 ◽  
pp. 084653711988567
Author(s):  
Jian Wang ◽  
Xiaoxuan Zhou ◽  
Fangyi Xu ◽  
Weiqun Ao ◽  
Hongjie Hu
Keyword(s):  
Computed Tomography ◽  
Multivariate Logistic Regression Analysis ◽  
Fisher Exact Test ◽  
Exact Test ◽  
Portal Venous Phase ◽  
Ct Value ◽  
Unenhanced Ct ◽  
Gastric Stromal Tumor ◽  
Venous Phase ◽  
Gastric Leiomyoma

Purpose: To discuss significant computed tomography (CT) findings that differentiate gastric leiomyomas (GLs) from small gastric stromal tumors (GSTs). Methods: One hundred sixty cases with pathologically proven GLs (n = 50) and GSTs (n = 110) with comprehensive CT images were enrolled in this retrospective study. Computed tomography findings (ie, size, location, contour, growth pattern, enhancement degree, necrosis, ulceration, calcification, and lymph nodes) were analyzed through the χ2 or Fisher exact test, independent T test, and multivariate (logistic regression) analysis. Sensitivity and specificity were also calculated. Results: Features of cardia location, endophytic growth, homogeneous gradual enhancement, absent of necrosis, long diameter less than 24 mm, short diameter less than 20 mm, unenhanced CT value larger than 35.2 Hounsfield units (HU), portal venous phase CT value larger than 67.4 HU, and enhancement degree of arterial and venous phase less than 16.2 HU and 32.4 HU were found to be statistically significant between GLs and small GSTs ( P < .05). On multivariate analysis, cardia location, endophytic growth, and homogeneous gradual enhancement were independent predictive factors for GLs and small GSTs. Conclusion: These 10 CT criteria are very helpful to differentiate GLs from small GSTs. Especially cardia location, endophytic growth, and homogeneous gradual enhancement are of high value in differential diagnosis.

scholarly journals Liver Enhancement on Computed Tomography Is Suboptimal in Patients with Liver Steatosis

2021 ◽  
Vol 11 (12) ◽  
pp. 1255
Author(s):  
Véronique V. van Cooten ◽  
Daan J. de Jong ◽  
Frank J. Wessels ◽  
Pim A. de Jong ◽  
Madeleine Kok
Keyword(s):  
Computed Tomography ◽  
Liver Steatosis ◽  
Total Body Weight ◽  
Control Group ◽  
Portal Venous Phase ◽  
Portal Phase ◽  
Unenhanced Ct ◽  
Venous Phase ◽  
The Difference ◽  
Total Body

This study’s aim was twofold. Firstly, to assess liver enhancement quantitatively and qualitatively in steatotic livers compared to non-steatotic livers on portal venous computed tomography (CT). Secondly, to determine the injection volume of contrast medium in patients with severe hepatic steatosis to improve the image quality of the portal venous phase. We retrospectively included patients with non-steatotic (n = 70), the control group, and steatotic livers (n = 35) who underwent multiphase computed tomography between March 2016 and September 2020. Liver enhancement was determined by the difference in attenuation in Hounsfield units (HU) between the pre-contrast and the portal venous phase, using region of interests during in three different segments. Liver steatosis was determined by a mean attenuation of ≤40 HU on unenhanced CT. Adequate enhancement was objectively defined as ≥50 ΔHU and subjectively using a three-point Likert scale. Enhancement of non-steatotic and steatotic livers were compared and associations between enhancement and patient- and scan characteristics were analysed. Enhancement was significantly higher among the control group (mean 51.9 ± standard deviation 11.5 HU) compared to the steatosis group (40.6 ± 8.4 HU p for difference < 0.001). Qualitative analysis indicated less adequate enhancement in the steatosis group: 65.7% of the control group was rated as good vs. 8.6% of the steatosis group. We observed a significant correlation between enhancement, and presence/absence of steatosis and grams of iodine per total body weight (TBW) (p < 0.001; adjusted R2 = 0.303). Deduced from this correlation, theoretical contrast dosing in grams of Iodine (g I) can be calculated: g I = 0.502 × TBW for non-steatotic livers and g I = 0.658 × TBW for steatotic livers. Objective and subjective enhancement during CT portal phase were significantly lower in steatotic livers compared to non-steatotic livers, which may have consequences for detectability and contrast dosing.

scholarly journals Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Zhu ◽  
Yingfan Mao ◽  
Jun Chen ◽  
Yudong Qiu ◽  
Yue Guan ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Ct Images ◽  
Textural Features ◽  
Mutation Status ◽  
Portal Venous Phase ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Venous Phase ◽  
Ct Texture Analysis

AbstractTo explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with IDH mutation and 117 without IDH mutation) were retrospectively reviewed. Texture analysis was performed for each lesion and compared between ICCs with and without IDH mutation. All textural features in each phase and combinations of textural features (p < 0.05) by Mann–Whitney U tests were separately used to train multiple support vector machine (SVM) classifiers. The classification generalizability and performance were evaluated using a tenfold cross-validation scheme. Among plain, arterial phase (AP), portal venous phase (VP), equilibrium phase (EP) and Sig classifiers, VP classifier showed the highest accuracy of 0.863 (sensitivity, 0.727; specificity, 0.885), with a mean area under the receiver operating characteristic curve of 0.813 in predicting IDH mutation in validation cohort. Texture features of CT images in portal venous phase could predict IDH mutation status of ICCs with SVM classifier preoperatively.

Detection of Biliary Duct Narrowing and Choledocholithiasis: Accuracy of Portal Venous Phase Multidetector CT

Radiology ◽  
2008 ◽  
Vol 247 (2) ◽  
pp. 418-427 ◽  
Author(s):  
Stephan W. Anderson ◽  
Eunjin Rho ◽  
Jorge A. Soto
Keyword(s):  
Multidetector Ct ◽  
Biliary Duct ◽  
Portal Venous Phase ◽  
Venous Phase

Split-Bolus Portal Venous Phase Dual-Energy CT Urography: Protocol Design, Image Quality, and Dose Reduction

2015 ◽  
Vol 205 (5) ◽  
pp. W492-W501 ◽  
Author(s):  
Chiao-Yun Chen ◽  
Jui-Sheng Hsu ◽  
Twei-Shiun Jaw ◽  
Ming-Chen Paul Shih ◽  
Lo-Jeh Lee ◽  
...  
Keyword(s):  
Image Quality ◽  
Dose Reduction ◽  
Dual Energy ◽  
Protocol Design ◽  
Dual Energy Ct ◽  
Ct Urography ◽  
Portal Venous Phase ◽  
Venous Phase

Acute-onset abdominal pain in a woman in her 30s

Heart ◽  
2018 ◽  
Vol 105 (4) ◽  
pp. 275-322 ◽  
Author(s):  
Rory O’Donohoe ◽  
Samantha Fitzsimmons ◽  
Timothy J C Bryant
Keyword(s):  
Abdominal Pain ◽  
Hepatocellular Adenoma ◽  
Sudden Onset ◽  
Acute Onset ◽  
Arterial Phase ◽  
List Type ◽  
Portal Venous Phase ◽  
Venous Phase ◽  
Axial Ct ◽  
Multiphase Ct

Clinical introductionA woman in her 30s presented to the emergency department with sudden-onset abdominal pain with hypotension and tachycardia. She gave a history of congenital heart disease for which she had previously undergone multiple operations. On examination she demonstrated right upper quadrant tenderness. She underwent an urgent multiphase CT (figure 1A–C).Figure 1(A) Arterial phase coronal CT. (B) Arterial phase axial CT. (C) Portal venous phase axial CT.QuestionWhat is the underlying liver pathology?Hepatocellular adenomaCholangiocarcinomaHepatocellular carcinomaFocal nodular hyperplasiaHepatoblastoma

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