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10.1155/2015/120749 http://scihub22266oqcxt.onion/10.1155/2015/120749 C4609766!4609766 !26509144     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26509144 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Biomed+Res+Int 2015 ; 2015 (ä): 120749 Nephropedia Template TP {{tp|p=26509144 |t=2015. CT Perfusion Characteristics Identify Metastatic Sites in Liver |pdf=|usr=}}{{26509144 }} gab.com Text CT Perfusion Characteristics Identify Metastatic Sites in Liver JO: Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=26509144 #FOAvip 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. Twit Text FOAVip CT Perfusion Characteristics Identify Metastatic Sites in Liver ????Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=26509144 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26509144 #FOAvip English Wikipedia <ref>{{Cite pmid|26509144 }}</ref> CT Perfusion Characteristics Identify Metastatic Sites in Liver #MMPMID26509144 Wang Y ; Hobbs BP ; Ng CS Biomed Res Int 2015[]; 2015 (ä): 120749 PMID26509144 show ga 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. |*Tomography, X-Ray Computed [MESH] |Area Under Curve [MESH] |Biomarkers, Tumor/metabolism [MESH] |Blood Volume [MESH] |Cell Proliferation [MESH] |Contrast Media/chemistry [MESH] |Hepatic Artery/pathology [MESH] |Humans [MESH] |Liver Neoplasms/*diagnostic imaging/*secondary [MESH] |Neoplasm Metastasis [MESH] |Neovascularization, Pathologic/diagnostic imaging [MESH] |Neuroendocrine Tumors/*pathology [MESH] |Perfusion [MESH] |Permeability [MESH] |Prognosis [MESH]CT Perfusion Characteristics Identify Metastatic Sites in Liver (epmc).pdf DeepDyve Pubget Overpricing