Metastatic disease to the pancreas: Pathologic spectrum and CT patterns

Sameer Ahmed; Pamela T. Johnson; Ralph Hruban; Elliot K. Fishman

doi:10.1007/s00261-012-9856-8

Metastatic disease to the pancreas: Pathologic spectrum and CT patterns

Sameer Ahmed, Pamela T. Johnson, Ralph Hruban, Elliot K. Fishman

School of Medicine

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

16 Scopus citations

Abstract

Metastases to the pancreas are rare; nevertheless, early detection allows for appropriate treatment and improved outcomes for metastatic disease. Computed tomography plays a pivotal role in characterizing these tumors, as demonstrated in this pictorial review. Given significant differences in prognosis and treatment, it is crucial to differentiate primary and secondary pancreatic lesions; however, this may not be possible based on imaging features alone.

Original language	English (US)
Pages (from-to)	144-153
Number of pages	10
Journal	Abdominal Imaging
Volume	38
Issue number	1
DOIs	https://doi.org/10.1007/s00261-012-9856-8
State	Published - Feb 2013

Keywords

CT
Metastatic disease
Pancreas
Renal cell carcinoma

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Gastroenterology
Urology

Access to Document

10.1007/s00261-012-9856-8

Cite this

@article{3ec5caecbe124f9fa62dcd83aa4bc0ac,

title = "Metastatic disease to the pancreas: Pathologic spectrum and CT patterns",

abstract = "Metastases to the pancreas are rare; nevertheless, early detection allows for appropriate treatment and improved outcomes for metastatic disease. Computed tomography plays a pivotal role in characterizing these tumors, as demonstrated in this pictorial review. Given significant differences in prognosis and treatment, it is crucial to differentiate primary and secondary pancreatic lesions; however, this may not be possible based on imaging features alone.",

keywords = "CT, Metastatic disease, Pancreas, Renal cell carcinoma",

author = "Sameer Ahmed and Johnson, {Pamela T.} and Ralph Hruban and Fishman, {Elliot K.}",

year = "2013",

month = feb,

doi = "10.1007/s00261-012-9856-8",

language = "English (US)",

volume = "38",

pages = "144--153",

journal = "Abdominal Imaging",

issn = "0942-8925",

publisher = "Springer New York",

number = "1",

}

TY - JOUR

T1 - Metastatic disease to the pancreas

T2 - Pathologic spectrum and CT patterns

AU - Ahmed, Sameer

AU - Johnson, Pamela T.

AU - Hruban, Ralph

AU - Fishman, Elliot K.

PY - 2013/2

Y1 - 2013/2

N2 - Metastases to the pancreas are rare; nevertheless, early detection allows for appropriate treatment and improved outcomes for metastatic disease. Computed tomography plays a pivotal role in characterizing these tumors, as demonstrated in this pictorial review. Given significant differences in prognosis and treatment, it is crucial to differentiate primary and secondary pancreatic lesions; however, this may not be possible based on imaging features alone.

AB - Metastases to the pancreas are rare; nevertheless, early detection allows for appropriate treatment and improved outcomes for metastatic disease. Computed tomography plays a pivotal role in characterizing these tumors, as demonstrated in this pictorial review. Given significant differences in prognosis and treatment, it is crucial to differentiate primary and secondary pancreatic lesions; however, this may not be possible based on imaging features alone.

KW - CT

KW - Metastatic disease

KW - Pancreas

KW - Renal cell carcinoma

UR - http://www.scopus.com/inward/record.url?scp=84872688445&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872688445&partnerID=8YFLogxK

U2 - 10.1007/s00261-012-9856-8

DO - 10.1007/s00261-012-9856-8

M3 - Article

C2 - 22349804

AN - SCOPUS:84872688445

SN - 0942-8925

VL - 38

SP - 144

EP - 153

JO - Abdominal Imaging

JF - Abdominal Imaging

IS - 1

ER -

Metastatic disease to the pancreas: Pathologic spectrum and CT patterns

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this