Cargando…

Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography

Imaging parameters including metabolic or textural parameters during F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) are being used for evaluation of malignancy. However, their utility for prognosis prediction has not been thoroughly investigated. Here, we eva...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoo, Min Young, Yoon, Yoo-Seok, Suh, Min Seok, Cho, Jai Young, Han, Ho-Seong, Lee, Won Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458160/
https://www.ncbi.nlm.nih.gov/pubmed/32871906
http://dx.doi.org/10.1097/MD.0000000000021829
_version_ 1783576136296431616
author Yoo, Min Young
Yoon, Yoo-Seok
Suh, Min Seok
Cho, Jai Young
Han, Ho-Seong
Lee, Won Woo
author_facet Yoo, Min Young
Yoon, Yoo-Seok
Suh, Min Seok
Cho, Jai Young
Han, Ho-Seong
Lee, Won Woo
author_sort Yoo, Min Young
collection PubMed
description Imaging parameters including metabolic or textural parameters during F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) are being used for evaluation of malignancy. However, their utility for prognosis prediction has not been thoroughly investigated. Here, we evaluated the prognosis prediction ability of imaging parameters from preoperative FDGPET/CT in operable pancreatic cancer patients. Sixty pancreatic cancer patients (male:female = 36:24, age = 67.2 ± 10.5 years) who had undergone FDGPET/CT before the curative intent surgery were enrolled. Clinico-pathologic parameters, metabolic parameters from FDGPET/CT; maximal standard uptake value (SUVmax), glucose-incorporated SUVmax (GI-SUVmax), metabolic tumor volume, total-lesion glycolysis, and 53 textural parameters derived from imaging analysis software (MaZda version 4.6) were compared with overall survival. All the patients underwent curative resection. Mean and standard deviation of overall follow-up duration was 16.12 ± 9.81months. Among them, 39 patients had died at 13.46 ± 8.82 months after operation, whereas 21 patients survived with the follow-up duration of 18.56 ± 9.97 months. In the univariate analysis, Tumor diameter ≥4 cm (P = .003), Preoperative Carbohydrate antigen 19-9 ≥37 U/mL (P = .034), number of metastatic lymph node (P = .048) and GI-SUVmax (P = .004) were significant parameters for decreased overall survival. Among the textural parameters, kurtosis3D (P = .052), and skewness3D (P = .064) were potentially significant predictors in the univariate analysis. However, in multivariate analysis only GI-SUVmax (P = .026) and combined operation (P = .001) were significant independent predictors of overall survival. The current research result indicates that metabolic parameter (GI-SUVmax) from FDGPET/CT, and combined operation could predict the overall survival of surgically resected pancreatic cancer patients. Other metabolic or textural imaging parameters were not significant predictors for overall survival of localized pancreatic cancer.
format Online
Article
Text
id pubmed-7458160
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-74581602020-09-11 Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography Yoo, Min Young Yoon, Yoo-Seok Suh, Min Seok Cho, Jai Young Han, Ho-Seong Lee, Won Woo Medicine (Baltimore) 5700 Imaging parameters including metabolic or textural parameters during F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) are being used for evaluation of malignancy. However, their utility for prognosis prediction has not been thoroughly investigated. Here, we evaluated the prognosis prediction ability of imaging parameters from preoperative FDGPET/CT in operable pancreatic cancer patients. Sixty pancreatic cancer patients (male:female = 36:24, age = 67.2 ± 10.5 years) who had undergone FDGPET/CT before the curative intent surgery were enrolled. Clinico-pathologic parameters, metabolic parameters from FDGPET/CT; maximal standard uptake value (SUVmax), glucose-incorporated SUVmax (GI-SUVmax), metabolic tumor volume, total-lesion glycolysis, and 53 textural parameters derived from imaging analysis software (MaZda version 4.6) were compared with overall survival. All the patients underwent curative resection. Mean and standard deviation of overall follow-up duration was 16.12 ± 9.81months. Among them, 39 patients had died at 13.46 ± 8.82 months after operation, whereas 21 patients survived with the follow-up duration of 18.56 ± 9.97 months. In the univariate analysis, Tumor diameter ≥4 cm (P = .003), Preoperative Carbohydrate antigen 19-9 ≥37 U/mL (P = .034), number of metastatic lymph node (P = .048) and GI-SUVmax (P = .004) were significant parameters for decreased overall survival. Among the textural parameters, kurtosis3D (P = .052), and skewness3D (P = .064) were potentially significant predictors in the univariate analysis. However, in multivariate analysis only GI-SUVmax (P = .026) and combined operation (P = .001) were significant independent predictors of overall survival. The current research result indicates that metabolic parameter (GI-SUVmax) from FDGPET/CT, and combined operation could predict the overall survival of surgically resected pancreatic cancer patients. Other metabolic or textural imaging parameters were not significant predictors for overall survival of localized pancreatic cancer. Lippincott Williams & Wilkins 2020-08-28 /pmc/articles/PMC7458160/ /pubmed/32871906 http://dx.doi.org/10.1097/MD.0000000000021829 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 5700
Yoo, Min Young
Yoon, Yoo-Seok
Suh, Min Seok
Cho, Jai Young
Han, Ho-Seong
Lee, Won Woo
Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography
title Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography
title_full Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography
title_fullStr Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography
title_full_unstemmed Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography
title_short Prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from F-18 fluorodeoxyglucose positron emission tomography/computed tomography
title_sort prognosis prediction of pancreatic cancer after curative intent surgery using imaging parameters derived from f-18 fluorodeoxyglucose positron emission tomography/computed tomography
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458160/
https://www.ncbi.nlm.nih.gov/pubmed/32871906
http://dx.doi.org/10.1097/MD.0000000000021829
work_keys_str_mv AT yoominyoung prognosispredictionofpancreaticcanceraftercurativeintentsurgeryusingimagingparametersderivedfromf18fluorodeoxyglucosepositronemissiontomographycomputedtomography
AT yoonyooseok prognosispredictionofpancreaticcanceraftercurativeintentsurgeryusingimagingparametersderivedfromf18fluorodeoxyglucosepositronemissiontomographycomputedtomography
AT suhminseok prognosispredictionofpancreaticcanceraftercurativeintentsurgeryusingimagingparametersderivedfromf18fluorodeoxyglucosepositronemissiontomographycomputedtomography
AT chojaiyoung prognosispredictionofpancreaticcanceraftercurativeintentsurgeryusingimagingparametersderivedfromf18fluorodeoxyglucosepositronemissiontomographycomputedtomography
AT hanhoseong prognosispredictionofpancreaticcanceraftercurativeintentsurgeryusingimagingparametersderivedfromf18fluorodeoxyglucosepositronemissiontomographycomputedtomography
AT leewonwoo prognosispredictionofpancreaticcanceraftercurativeintentsurgeryusingimagingparametersderivedfromf18fluorodeoxyglucosepositronemissiontomographycomputedtomography