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CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery

This study aimed to determine whether changes in contrast-enhanced computed tomography (CT) parameters could predict postsurgery overall and progression-free survival (PFS) in pancreatic cancer patients. Seventy-nine patients with a final pathological diagnosis of pancreatic adenocarcinoma were incl...

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Autores principales: Zhu, Liang, Shi, Xiaohua, Xue, Huadan, Wu, Huanwen, Chen, Ge, Sun, Hao, He, Yonglan, Jin, Zhengyu, Liang, Zhiyong, Zhang, Zhuoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748912/
https://www.ncbi.nlm.nih.gov/pubmed/26844495
http://dx.doi.org/10.1097/MD.0000000000002664
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author Zhu, Liang
Shi, Xiaohua
Xue, Huadan
Wu, Huanwen
Chen, Ge
Sun, Hao
He, Yonglan
Jin, Zhengyu
Liang, Zhiyong
Zhang, Zhuoli
author_facet Zhu, Liang
Shi, Xiaohua
Xue, Huadan
Wu, Huanwen
Chen, Ge
Sun, Hao
He, Yonglan
Jin, Zhengyu
Liang, Zhiyong
Zhang, Zhuoli
author_sort Zhu, Liang
collection PubMed
description This study aimed to determine whether changes in contrast-enhanced computed tomography (CT) parameters could predict postsurgery overall and progression-free survival (PFS) in pancreatic cancer patients. Seventy-nine patients with a final pathological diagnosis of pancreatic adenocarcinoma were included in this study from June 2008 to August 2012. Dynamic contrast-enhanced (DCE) CT of tumors was obtained before curative-intent surgery. Absolute enhancement change (AEC) and relative enhancement change (REC) were evaluated on DCE-CT. PFS and overall survival (OS) were compared based on CT enhancement patterns. The markers of fibrogenic alpha-smooth muscle antigen (α-SMA) and periostin in tumor specimens were evaluated by immunohistochemical staining. The χ(2) test was performed to determine whether CT enhancement patterns were associated with α-SMA-periostin expression levels (recorded as positive or negative). Lower REC (<0.9) was associated with shorter PFS (HR 0.51, 95% CI: 0.31–0.89) and OS (HR 0.44, 95% CI: 0.25–0.78). The α-SMA and periostin expression level were negatively correlated with REC (both P = 0). Among several CT enhancement parameters, REC was the best predictor of patient postsurgery survival. Low REC was associated with a short progression-free time and poor survival. The pathological studies suggested that REC might be a reflection of cancer fibrogenic potential.
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spelling pubmed-47489122016-04-01 CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery Zhu, Liang Shi, Xiaohua Xue, Huadan Wu, Huanwen Chen, Ge Sun, Hao He, Yonglan Jin, Zhengyu Liang, Zhiyong Zhang, Zhuoli Medicine (Baltimore) 6200 This study aimed to determine whether changes in contrast-enhanced computed tomography (CT) parameters could predict postsurgery overall and progression-free survival (PFS) in pancreatic cancer patients. Seventy-nine patients with a final pathological diagnosis of pancreatic adenocarcinoma were included in this study from June 2008 to August 2012. Dynamic contrast-enhanced (DCE) CT of tumors was obtained before curative-intent surgery. Absolute enhancement change (AEC) and relative enhancement change (REC) were evaluated on DCE-CT. PFS and overall survival (OS) were compared based on CT enhancement patterns. The markers of fibrogenic alpha-smooth muscle antigen (α-SMA) and periostin in tumor specimens were evaluated by immunohistochemical staining. The χ(2) test was performed to determine whether CT enhancement patterns were associated with α-SMA-periostin expression levels (recorded as positive or negative). Lower REC (<0.9) was associated with shorter PFS (HR 0.51, 95% CI: 0.31–0.89) and OS (HR 0.44, 95% CI: 0.25–0.78). The α-SMA and periostin expression level were negatively correlated with REC (both P = 0). Among several CT enhancement parameters, REC was the best predictor of patient postsurgery survival. Low REC was associated with a short progression-free time and poor survival. The pathological studies suggested that REC might be a reflection of cancer fibrogenic potential. Wolters Kluwer Health 2016-02-08 /pmc/articles/PMC4748912/ /pubmed/26844495 http://dx.doi.org/10.1097/MD.0000000000002664 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-sa/4.0 This is an open access article distributed under the Creative Commons Attribution-ShareAlike License 4.0, which allows others to remix, tweak, and build upon the work, even for commercial purposes, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-sa/4.0
spellingShingle 6200
Zhu, Liang
Shi, Xiaohua
Xue, Huadan
Wu, Huanwen
Chen, Ge
Sun, Hao
He, Yonglan
Jin, Zhengyu
Liang, Zhiyong
Zhang, Zhuoli
CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
title CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
title_full CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
title_fullStr CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
title_full_unstemmed CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
title_short CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
title_sort ct imaging biomarkers predict clinical outcomes after pancreatic cancer surgery
topic 6200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748912/
https://www.ncbi.nlm.nih.gov/pubmed/26844495
http://dx.doi.org/10.1097/MD.0000000000002664
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