Literature DB >> 25905947

Prognostic Value of FDG PET/CT-Derived Parameters in Pancreatic Adenocarcinoma at Initial PET/CT Staging.

Alin Chirindel1, Krishna C Alluri, Muhammad A Chaudhry, Richard L Wahl, Timothy M Pawlik, Joseph M Herman, Rathan M Subramaniam.   

Abstract

OBJECTIVE: The purpose of this study is to evaluate the performance of PET-derived parameters as prognostic markers for overall survival (OS) and progression-free survival (PFS) outcome in patients with pancreatic adenocarcinoma.
MATERIALS AND METHODS: We conducted a retrospective study of 106 patients (62 men and 44 women) with histologically proven pancreatic adenocarcinoma who underwent initial staging FDG PET/CT before treatment. Peak standardized uptake value (SUV), maximum SUV (SUVmax), metabolic tumor volume, and tumor glycolytic activity of the primary pancreatic tumor were measured. Two segmentation methods were performed to obtain the metabolic tumor volume and tumor glycolytic activity for all tumors: a gradient-based segmentation model (metabolic tumor volume and tumor glycolytic activity by gradient edge detection) and a fixed-threshold model with a threshold of 50% of the lesion's SUVmax and peak SUV. Univariate and multivariate Cox regression models were developed including clinical and imaging parameters for OS and PFS.
RESULTS: Multivariate Cox regression analysis showed a statistically significant association between PFS and age, SUVmax, peak SUV, and tumor glycolytic activity by gradient edge detection. There was a statistically significant difference in PFS for patients with values above and below the median cutoff points for SUVmax (hazard ratio [HR], 1.12; p < 0.01), peak SUV (HR, 1.25; p < 0.02), and tumor glycolytic activity measured by gradient edge detection (HR, 1.00; p < 0.02) of the primary tumor. However, multivariate Cox regression analysis showed a statistically significant association only between tumor glycolytic activity by gradient edge detection and OS (p = 0.04), and there was a statistically significant difference in OS between patients with values above and below the median cutoff point for the tumor glycolytic activity by gradient edge detection of the primary tumor (HR, 1.42; p = 0.05).
CONCLUSION: Age, SUVmax, peak SUV, and total lesion glycolysis (i.e., tumor glycolytic activity) of the primary tumor are associated with PFS, and tumor glycolytic activity is associated with OS in patients with pancreatic adenocarcinoma.

Entities:  

Keywords:  FDG volumetric parameters; metabolic tumor volume; outcome; pancreatic adenocarcinoma; tumor glycolytic activity

Mesh:

Substances:

Year:  2015        PMID: 25905947     DOI: 10.2214/AJR.14.13156

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  17 in total

1.  Heterogeneity index evaluated by slope of linear regression on 18F-FDG PET/CT as a prognostic marker for predicting tumor recurrence in pancreatic ductal adenocarcinoma.

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-20       Impact factor: 9.236

2.  Value of Intratumoral Metabolic Heterogeneity and Quantitative 18F-FDG PET/CT Parameters to Predict Prognosis in Patients With HPV-Positive Primary Oropharyngeal Squamous Cell Carcinoma.

Authors:  Esther Mena; Mehdi Taghipour; Sara Sheikhbahaei; Abhinav K Jha; Arman Rahmim; Lilja Solnes; Rathan M Subramaniam
Journal:  Clin Nucl Med       Date:  2017-05       Impact factor: 7.794

3.  Practical no-gold-standard evaluation framework for quantitative imaging methods: application to lesion segmentation in positron emission tomography.

Authors:  Abhinav K Jha; Esther Mena; Brian Caffo; Saeed Ashrafinia; Arman Rahmim; Eric Frey; Rathan M Subramaniam
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-03

4.  18F-FDG PET/CT Metabolic Tumor Volume and Intratumoral Heterogeneity in Pancreatic Adenocarcinomas: Impact of Dual-Time Point and Segmentation Methods.

Authors:  Esther Mena; Sara Sheikhbahaei; Mehdi Taghipour; Abhinav K Jha; Esther Vicente; Jennifer Xiao; Rathan M Subramaniam
Journal:  Clin Nucl Med       Date:  2017-01       Impact factor: 7.794

5.  Intratumoral Metabolic Heterogeneity and Other Quantitative 18F-FDG PET/CT Parameters for Prognosis Prediction in Esophageal Cancer.

Authors:  Akilan Gopal; Yin Xi; Rathan M Subramaniam; Daniella F Pinho
Journal:  Radiol Imaging Cancer       Date:  2020-12-18

Review 6.  The role of imaging in the clinical practice of radiation oncology for pancreatic cancer.

Authors:  Eugene J Koay; William Hall; Peter C Park; Beth Erickson; Joseph M Herman
Journal:  Abdom Radiol (NY)       Date:  2018-02

7.  PET/MRI in pancreatic and periampullary cancer: correlating diffusion-weighted imaging, MR spectroscopy and glucose metabolic activity with clinical stage and prognosis.

Authors:  Bang-Bin Chen; Yu-Wen Tien; Ming-Chu Chang; Mei-Fang Cheng; Yu-Ting Chang; Chih-Horng Wu; Xin-Jia Chen; Ting-Chun Kuo; Shih-Hung Yang; I-Lun Shih; Hong-Shiee Lai; Tiffany Ting-Fang Shih
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-03-19       Impact factor: 9.236

8.  A novel metric for quantification of homogeneous and heterogeneous tumors in PET for enhanced clinical outcome prediction.

Authors:  Arman Rahmim; C Ross Schmidtlein; Andrew Jackson; Sara Sheikhbahaei; Charles Marcus; Saeed Ashrafinia; Madjid Soltani; Rathan M Subramaniam
Journal:  Phys Med Biol       Date:  2015-12-07       Impact factor: 3.609

9.  Phase 1B trial of Nab-paclitaxel plus gemcitabine, capecitabine, and cisplatin (PAXG regimen) in patients with unresectable or borderline resectable pancreatic adenocarcinoma.

Authors:  Michele Reni; Gianpaolo Balzano; Silvia Zanon; Paolo Passoni; Roberto Nicoletti; Paolo Giorgio Arcidiacono; Gino Pepe; Claudio Doglioni; Clara Fugazza; Domenica Ceraulo; Massimo Falconi; Luca Gianni
Journal:  Br J Cancer       Date:  2016-07-12       Impact factor: 7.640

Review 10.  Prognostic value of 18F-FDG-PET/CT parameters in patients with pancreatic carcinoma: A systematic review and meta-analysis.

Authors:  Dongyong Zhu; Lisha Wang; Hanfei Zhang; Jie Chen; Yanfang Wang; Sama Byanju; Meiyan Liao
Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

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