Case 3.14

Mayo Clinic Body MRI Case Review ◽

10.1093/med/9780199915705.003.0084 ◽

2014 ◽

pp. 158-159

Author(s):

Christine U. Lee ◽

James F. Glockner

Keyword(s):

Portal Venous Phase ◽

Biliary Dilatation ◽

Hepatic Lobe ◽

Venous Phase ◽

The Right

28-year-old man with a known syndrome Volume-rendered image from 3D FRFSE MRCP (Figure 3.14.1) demonstrates diffuse intra- and extrahepatic biliary dilatation, most prominently in the right hepatic lobe. Axial T2-weighted FSE images (Figure 3.14.2) and axial portal venous phase postgadolinium 3D SPGR images (...

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Case 2.23

Mayo Clinic Body MRI Case Review ◽

10.1093/med/9780199915705.003.0054 ◽

2014 ◽

pp. 107-107

Author(s):

Christine U. Lee ◽

James F. Glockner

Keyword(s):

Liver Disease ◽

Signal Intensity ◽

Phase Image ◽

Hepatobiliary Phase ◽

Portal Venous Phase ◽

Hepatic Lobe ◽

Phase Images ◽

Venous Phase ◽

The Right ◽

Multiple Nodules

55-year-old woman with chronic liver disease Axial fat-suppressed FSE T2-weighted images (Figure 2.23.1) demonstrate a cirrhotic liver with diffuse, innumerable, small low-signal-intensity nodules. Axial arterial, portal venous, and hepatobiliary phase postgadolinium (Eovist) 3D SPGR images (Figure 2.23.2) demonstrate heterogeneous enhancement of the background parenchyma, particularly in the right hepatic lobe. The multiple nodules are initially hypointense on arterial and portal venous phase images but become hyperintense relative to adjacent liver on the hepatobiliary phase image....

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Case 1.2

Mayo Clinic Body MRI Case Review ◽

10.1093/med/9780199915705.003.0002 ◽

2014 ◽

pp. 3-4

Author(s):

Christine U. Lee ◽

James F. Glockner

Keyword(s):

Abdominal Pain ◽

Signal Intensity ◽

Equilibrium Phase ◽

High Signal Intensity ◽

Arterial Phase ◽

High Signal ◽

Portal Venous Phase ◽

Hepatic Lobe ◽

Venous Phase ◽

The Right

66-year-old woman with nausea, vomiting, and abdominal pain after a recent fundoplication. Abdominal CT revealed a right hepatic lobe mass Coronal SSFSE (Figure 1.2.1) and axial fat-suppressed FSE T2-weighted (Figure 1.2.2) images demonstrate a lobulated mass with high signal intensity in the right hepatic lobe. Axial arterial phase, portal venous phase, and coronal oblique reformatted equilibrium phase postgadolinium 3D SPGR images (...

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Case 4.8

Mayo Clinic Body MRI Case Review ◽

10.1093/med/9780199915705.003.0106 ◽

2014 ◽

pp. 201-202

Author(s):

Christine U. Lee ◽

James F. Glockner

Keyword(s):

Abdominal Pain ◽

Fluid Collection ◽

Portal Venous Phase ◽

Paracolic Gutter ◽

Large Complex ◽

Venous Phase ◽

Complex Fluid ◽

The Right ◽

T2 Weighted Images

74-year-old man with abdominal pain Axial fat-suppressed FSE T2-weighted images (Figure 4.8.1) reveal a small residual pancreas surrounded by a large, complex fluid collection that extends into the right paracolic gutter and contains extensive internal debris. Axial portal venous phase postgadolinium 3D SPGR images (...

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Case 2.16

Mayo Clinic Body MRI Case Review ◽

10.1093/med/9780199915705.003.0047 ◽

2014 ◽

pp. 92-93 ◽

Cited By ~ 1

Author(s):

Christine U. Lee ◽

James F. Glockner

Keyword(s):

Emergency Department ◽

Abdominal Pain ◽

Superior Mesenteric Vein ◽

Main Portal Vein ◽

Portal Venous Phase ◽

Phase Images ◽

Venous Phase ◽

Portal Veins ◽

The Right ◽

Oblique Images

83-year-old man being evaluated in the emergency department for abdominal pain Axial postgadolinium portal venous phase images (Figure 2.16.1) demonstrate nearly occlusive thrombus throughout the main portal vein. Reformatted oblique images (Figure 2.16.2) show thrombus extension into the right and left portal veins and the superior mesenteric vein....

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The Feature of Solitary Small Nodular Type of Hepatic Epithelioid Hemangioendothelioma

Case Reports in Gastroenterology ◽

10.1159/000490524 ◽

2018 ◽

Vol 12 (2) ◽

pp. 402-410

Author(s):

Norio Kubo ◽

Norifumi Harimoto ◽

Kenichiro Araki ◽

Kei Hagiwara ◽

Takahiro Yamanaka ◽

...

Keyword(s):

Late Phase ◽

Epithelioid Hemangioendothelioma ◽

Arterial Phase ◽

Portal Venous Phase ◽

Venous Phase ◽

Segment Viii ◽

Magnetic Resonance Imaging Mri ◽

The Right ◽

Specific Symptoms

Hepatic epithelioid hemangioendothelioma (HEHE) is a rare tumor. Preoperative diagnosis of HEHE is difficult because it does not manifest specific symptoms or tumor markers. We report a resected case of small and solitary HEHE. The patient, a 74-year-old man, had undergone surgical resection for left renal cell carcinoma 20 years ago. During follow-up, a tumor approximately 1.3 cm in diameter was detected by computed tomography (CT) at liver segment VIII. It showed isodensity in the arterial phase, low density in the portal venous phase, and homogeneous enhancement in the late phase on CT and magnetic resonance imaging (MRI). We performed hepatic resection of the right hepatic vein drainage area. A pathological diagnosis of HEHE was made. Although small and solitary HEHE is rare, an enhancement pattern in each phase on CT and MRI, using contrast media, can yield clues for the diagnosis of HEHE.

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

Scientific Reports ◽

10.1038/s41598-021-86497-4 ◽

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.

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