Resectable pancreatic adenocarcinoma: role of CT quantitative imaging biomarkers for predicting pathology and patient outcomes

Highlights • CT quantitative biomarkers can be helpful in the management of patients with pancreatic cancer. • Tumor attenuation measured at portal phase is associated with pathologic aggressiveness. • Texture and attenuation analysis can predict tumors associated with a worse prognosis. • CT quanti...

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Veröffentlicht in:European journal of radiology 2017-05, Vol.90, p.152-158
Hauptverfasser: Christophe, Cassinotto, Chong, Jaron, Zogopoulos, George, Reinhold, Caroline, Chiche, Laurence, Lafourcade, Jean-Pierre, Cuggia, Adeline, Terrebonne, Eric, Dohan, Anthony, Gallix, Benoît
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container_end_page 158
container_issue
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container_title European journal of radiology
container_volume 90
creator Christophe, Cassinotto
Chong, Jaron
Zogopoulos, George
Reinhold, Caroline
Chiche, Laurence
Lafourcade, Jean-Pierre
Cuggia, Adeline
Terrebonne, Eric
Dohan, Anthony
Gallix, Benoît
description Highlights • CT quantitative biomarkers can be helpful in the management of patients with pancreatic cancer. • Tumor attenuation measured at portal phase is associated with pathologic aggressiveness. • Texture and attenuation analysis can predict tumors associated with a worse prognosis. • CT quantitative imaging biomarkers can improve the management of patients.
doi_str_mv 10.1016/j.ejrad.2017.02.033
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subjects Adenocarcinoma - pathology
Adult
Aged
Biomarkers
Cancer staging
Carcinoma, Pancreatic Ductal - diagnostic imaging
Carcinoma, Pancreatic Ductal - pathology
CT attenuation value
Disease-Free Survival
Female
Humans
Lymph Nodes - pathology
Male
Middle Aged
Multidetector Computed Tomography - methods
Neoplasm Recurrence, Local - diagnostic imaging
Neoplasm Recurrence, Local - pathology
Pancreatic adenocarcinoma prognosis
Pancreatic Neoplasms - diagnostic imaging
Pancreatic Neoplasms - pathology
Prognosis
Quantitative imaging biomarkers
Radiology
Retrospective Studies
Texture analysis
title Resectable pancreatic adenocarcinoma: role of CT quantitative imaging biomarkers for predicting pathology and patient outcomes
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