CT Perfusion Characteristics Identify Metastatic Sites in Liver

Yuan Wang; Brian P Hobbs; Chaan S Ng

doi:10.1155/2015/120749

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CT Perfusion Characteristics Identify Metastatic Sites in Liver

Journal article

Open access

Peer reviewed

CT Perfusion Characteristics Identify Metastatic Sites in Liver

Yuan Wang, Brian P Hobbs and Chaan S Ng

BioMed research international, Vol.2015, pp.120749-6

2015

DOI: https://doi.org/10.1155/2015/120749

Handle:

https://hdl.handle.net/2376/104402

PMCID: PMC4609766

PMID: 26509144

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https://doi.org/10.1155/2015/120749View

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Abstract

Neuroendocrine Tumors - pathology

Cell Proliferation

Prognosis

Area Under Curve

Humans

Tomography, X-Ray Computed

Permeability

Liver Neoplasms - diagnostic imaging

Hepatic Artery - pathology

Neovascularization, Pathologic - diagnostic imaging

Neoplasm Metastasis

Perfusion

Biomarkers, Tumor - metabolism

Blood Volume

Contrast Media - chemistry

ROC Curve

Liver Neoplasms - secondary

Tissue perfusion plays a critical role in oncology because growth and migration of cancerous cells require proliferation of new blood vessels through the process of tumor angiogenesis. Computed tomography (CT) perfusion is an emerging functional imaging modality that measures tissue perfusion through dynamic CT scanning following intravenous administration of contrast medium. This noninvasive technique provides a quantitative basis for assessing tumor angiogenesis. CT perfusion has been utilized on a variety of organs including lung, prostate, liver, and brain, with promising results in cancer diagnosis, disease prognostication, prediction, and treatment monitoring. In this paper, we focus on assessing the extent to which CT perfusion characteristics can be used to discriminate liver metastases from neuroendocrine tumors from normal liver tissues. The neuroendocrine liver metastases were analyzed by distributed parameter modeling to yield tissue blood flow (BF), blood volume (BV), mean transit time (MTT), permeability (PS), and hepatic arterial fraction (HAF), for tumor and normal liver. The result reveals the potential of CT perfusion as a tool for constructing biomarkers from features of the hepatic vasculature for guiding cancer detection, prognostication, and treatment selection.

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Title: CT Perfusion Characteristics Identify Metastatic Sites in Liver
Creators: Yuan Wang - Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
Brian P Hobbs - Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
Chaan S Ng - Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
Publication Details: BioMed research international, Vol.2015, pp.120749-6
Academic Unit: Mathematics and Statistics, Department of
Publisher: United States
Grant note: P30 CA016672 / NCI NIH HHS
Identifiers: 99900546638901842
Language: English
Resource Type: Journal article