Composite liver tumors: a radiologic-pathologic correlation

Megha Nayyar; David K. Imagawa; Temel Tirkes; Aram N. Demirjian; Roozbeh Houshyar; Kumar Sandrasegaran; Chaitali S. Nangia; Tara Seery; P. Bhargava; Joon I.i. Choi; Chandana Lall

doi:10.3350/cmh.2014.20.4.406

Composite liver tumors: a radiologic-pathologic correlation

Megha Nayyar, David K. Imagawa, Temel Tirkes, Aram N. Demirjian, Roozbeh Houshyar, Kumar Sandrasegaran, Chaitali S. Nangia, Tara Seery, P. Bhargava, Joon I.i. Choi, Chandana Lall

Department of Radiology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Bi-phenotypic neoplasm refers to tumors derived from a common cancer stem cell with unique capability to differentiate histologically into two distinct tumor types. Bi-phenotypic hepatocellular carcinoma-cholangiocarcinoma (HCC-CC), although a rare tumor, is important for clinicians to recognize, since treatment options targeting both elements of the tumor are crucial. Imaging findings of bi-phenotypic HCC-CC are not specific and include features of both HCC and CC. A combination of imaging and immuno-histochemical analysis is usually needed to make the diagnosis.

Original language	English
Pages (from-to)	406-410
Number of pages	5
Journal	Clinical and Molecular Hepatology
Volume	20
Issue number	4
DOIs	https://doi.org/10.3350/cmh.2014.20.4.406
State	Published - 1 Dec 2014

Keywords

Bi-phenotypic tumors
Cholangiocarcinoma
Computed tomography, Magnetic resonance imaging
Hepatoceullular carcinoma

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Composite liver tumors: a radiologic-pathologic correlation",

abstract = "Bi-phenotypic neoplasm refers to tumors derived from a common cancer stem cell with unique capability to differentiate histologically into two distinct tumor types. Bi-phenotypic hepatocellular carcinoma-cholangiocarcinoma (HCC-CC), although a rare tumor, is important for clinicians to recognize, since treatment options targeting both elements of the tumor are crucial. Imaging findings of bi-phenotypic HCC-CC are not specific and include features of both HCC and CC. A combination of imaging and immuno-histochemical analysis is usually needed to make the diagnosis. ",

keywords = "Bi-phenotypic tumors, Cholangiocarcinoma, Computed tomography, Magnetic resonance imaging, Hepatoceullular carcinoma",

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T2 - a radiologic-pathologic correlation

AU - Nayyar, Megha

AU - Imagawa, David K.

AU - Tirkes, Temel

AU - Demirjian, Aram N.

AU - Houshyar, Roozbeh

AU - Sandrasegaran, Kumar

AU - Nangia, Chaitali S.

AU - Seery, Tara

AU - Bhargava, P.

AU - Choi, Joon I.i.

AU - Lall, Chandana

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Bi-phenotypic neoplasm refers to tumors derived from a common cancer stem cell with unique capability to differentiate histologically into two distinct tumor types. Bi-phenotypic hepatocellular carcinoma-cholangiocarcinoma (HCC-CC), although a rare tumor, is important for clinicians to recognize, since treatment options targeting both elements of the tumor are crucial. Imaging findings of bi-phenotypic HCC-CC are not specific and include features of both HCC and CC. A combination of imaging and immuno-histochemical analysis is usually needed to make the diagnosis.

AB - Bi-phenotypic neoplasm refers to tumors derived from a common cancer stem cell with unique capability to differentiate histologically into two distinct tumor types. Bi-phenotypic hepatocellular carcinoma-cholangiocarcinoma (HCC-CC), although a rare tumor, is important for clinicians to recognize, since treatment options targeting both elements of the tumor are crucial. Imaging findings of bi-phenotypic HCC-CC are not specific and include features of both HCC and CC. A combination of imaging and immuno-histochemical analysis is usually needed to make the diagnosis.

KW - Bi-phenotypic tumors

KW - Cholangiocarcinoma

KW - Computed tomography, Magnetic resonance imaging

KW - Hepatoceullular carcinoma

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M3 - Article

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AN - SCOPUS:84965094680

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Composite liver tumors: a radiologic-pathologic correlation

Abstract

Keywords

UN SDGs

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