The CT appearance of cystic masses of the liver.

Murphy, Brian J.; Casillas, Javier; Ros, Pablo R.; Morillo, Gaston; Albores‐Saavedra, Jorge; Rolfes, Donald B.

doi:10.1148/radiographics.9.2.2538868

Cited by 91 publications

(50 citation statements)

References 7 publications

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“…On MRI, they show a low signal on T1-weighted image and a high signal on T2-weighted image. Although it is not easy to differentiate biliary cystadenoma from biliary cystadenocarcinoma, cystadenocarcinoma is more likely to show papillary projection, mural nodule, and coarse calcification [32] (fig. 5).…”

Section: Malignant Tumorsmentioning

confidence: 99%

CT Scan and MRI in the Differentiation of Liver Tumors

Hori

Murakami²,

Kim³

et al. 2004

Dig Dis

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Computed tomography (CT) and magnetic resonance imaging (MRI) are useful for detection and characterization of liver tumors, and widely used in clinical practice. By using dynamic CT and MRI with extracellular contrast material or MRI with liver-specific contrast material, we can investigate the morphological, hemodynamical and functional nature of focal hepatic lesions. Tumors often show characteristic findings on CT and MRI. Thus, we can correctly establish a diagnosis of liver tumors based on those findings. In this article, we describe the role of CT scan and MRI in the differentiation of liver tumors as well as presenting some typical CT and MR images.

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Section: Malignant Tumorsmentioning

confidence: 99%

CT Scan and MRI in the Differentiation of Liver Tumors

Hori

Murakami²,

Kim³

et al. 2004

Dig Dis

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“…They are more frequently observed in women than in men [2]. They are often found among adults between their fifth and seventh decades [3]. Hepatic cysts occur in about 1 in 200 to 1 in 700 autopsies [4].…”

Section: Casementioning

confidence: 99%

“…The diagnosis of a cyst is based on three ultrasonic criteria [1]: (1) anechoic content; (2) sharp smooth borders and strong posterior enhancement with a well-defined fluid/tissue interface; and (3) spherical or oval shape. The CT features of hepatic cysts are a well-defined intrahepatic mass of fluid attenuation with a round or oval shape, smooth thin walls, and an absence of internal structures [3].…”

Section: Casementioning

confidence: 99%

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MR imaging in intracystic hemorrhage of simple hepatic cysts

et al. 1993

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Intracystic hemorrhage of simple hepatic cysts is one of the most frequent complications. Ultrasonography (US) and computed tomography (CT) may show abnormal findings and mimic other diseases. We describe magnetic resonance (MR) imaging in four patients with intracystic hemorrhage confirmed by surgery or percutaneous aspiration. In all cases the lesions were hyperintense on both T1- and T2-weighted sequences. In three of the four cases the signal was heterogeneous on T1-weighted sequences. Two cases of a thickened wall and one case of a fluid-fluid level were also observed. We suggest that MR imaging may be helpful to differentiate intracystic hemorrhage from other cystic lesions by showing high signal on T1- and T2-weighted sequences.

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“…liver lesions, with CT currently considered one of the most important noninvasive diagnostic techniques for characterizing focal liver lesions (7,8). Although CT findings of these two diseases have been published in several articles (1 4, 13 15), differentiating CC from hepatic abscesses, even using sonography, enhanced CT or MRI, remains a difficult task for radiologists because there is an overlapping spectrum of radiographic appearances and clinical parameters between the two diseases (10,11,16,17).…”

mentioning

confidence: 99%

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Seong

Lee

Kim

et al. 2005

J Korean Radiol Soc

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Several CT features of hepatic abscesses have been reported (1 4). Some hepatic abscesses occasionally mimic other hepatic tumors on CT, and some malignant hepatic tumors such as metastases, cholangiocarcinoma (CC), and leiomyosarcoma, may also mimic hepatic abscesses (5 12). Since the treatment strategy differs based on the possibility of malignancy, differentiation of hypovascular liver tumors such as CC or metastasis from hepatic abscesses on CT is important. A variety of radiologic procedures have been used to evaluate focal Purpose: To determine which CT findings are useful for differentiating cholangiocarcinomas (CC) from hepatic abscesses and also to determine whether artificial neural networks (ANNs) improve radiologists' performance. Materials and Methods: CT findings of 51 patients with mass-forming type CC and 70 patients with hepatic abscesses were analyzed with morphologic, enhancing and other ancillary findings by three radiologists with differing levels of expertise independently. ANNs were constructed using statistically significant CT findings derived from the analyses. The performances of the ANNs and the radiologists were evaluated using receiver operating characteristic analysis. Results: CT findings of rim-like enhancement, lymphadenopathy, capsular retraction, focal bile duct dilatation and a solid component were significant features of CC (p< 0.05). Findings of a clustered sign, multilayered enhancement, sharp margin, round shape, and air-biliary gram were significant features of hepatic abscesses. The ANNs showed better performance (AZ=0.9673, 98.0%, 97.1%, and 97.5%, respectively) than the resident (AZ=0.898, 78.4%, 81.4%, 80.2%) (p<0.05) in differentiating between the two diseases: (AZ, sensitivities, specificities, and overall accuracies). However, there were no significant differences in the diagnostic performance of the ANNs and the two board-certified radiologists. Conclusion: Several CT findings are useful in differentiating CC from hepatic abscesses and ANNs may improve the performance of a radiologist with little experience.

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The CT appearance of cystic masses of the liver.

Cited by 91 publications

References 7 publications

CT Scan and MRI in the Differentiation of Liver Tumors

CT Scan and MRI in the Differentiation of Liver Tumors

MR imaging in intracystic hemorrhage of simple hepatic cysts

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

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