Literature DB >> 22142679

Prognostic value of the quantitative metabolic volumetric measurement on 18F-FDG PET/CT in Stage IV nonsurgical small-cell lung cancer.

Shengri Liao1, Bill C Penney, Hao Zhang, Kenji Suzuki, Yonglin Pu.   

Abstract

RATIONALE AND
OBJECTIVES: Stage IV non-small-cell lung cancer (NSCLC) consists of a heterogeneous group of patients with different prognoses. We assessed the prognostic value of baseline whole body tumor burden as measured by metabolic tumor volume (MTV), total lesion glycolysis (TLG), and standardized uptake values (SUV(max) and SUV(mean)) of all tumors in nonsurgical patients with Stage IV NSCLC.
MATERIALS AND METHODS: Ninety-two consecutive patients with newly diagnosed Stage IV NSCLC who had a pretreatment F-18 fludeoxyglucose positron emission tomography/computed tomography scan were retrospectively reviewed. The MTV, TLG, SUV(mean), and SUV(max) of whole-body (WB) tumors were measured with the MIMvista workstation with manual adjustment.
RESULTS: There was a statistically significant association between overall survival (OS) and ln(MTV)/ln(TLG) at the level of WB tumor burden (MTV(WB)) and of primary tumor (MTV(T)). The hazard ratio (HR) for a 1-unit increase of ln(MTV(WB)) and ln(MTV(T)) before and after adjusting for age and gender was 1.48/1.48 (both P < .001) and 1.25/1.25 (P = .006, .007), respectively. The HR for a 1-unit increase of ln(TLG(WB)) and ln(TLG(T)) before and after adjusting for age and gender was 1.37/1.37 (both P = .001) and 1.19/1.19 (P = .001, .017), respectively. There was no statistically significant association between OS and ln(SUV(max)) and ln(SUV(mean)) at WB tumor burden, primary tumor, nodal metastasis, or distant metastasis (P > .05). There was low interobserver variability between two radiologists with concordance correlation coefficients of 0.90 for ln(MTV(WB)) and greater than 0.90 for SUV(maxWB), SUV(meanWB), and ln(TLG(WB)).
CONCLUSION: Baseline WB metabolic tumor burden, as measured with MTV and TLG, is a prognostic measurement in patients within Stage IV NSCLC with low interobserver variability. This study also suggests pretreatment MTV and TLG measurements may be used to further stratify patients with Stage IV NSCLC and are better prognostic measures than SUV(max) and SUV(mean) measurements.
Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22142679     DOI: 10.1016/j.acra.2011.08.020

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  44 in total

1.  Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer.

Authors:  Hao Zhang; Kristen Wroblewski; Daniel Appelbaum; Yonglin Pu
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-30       Impact factor: 2.924

2.  A new PET/CT volumetric prognostic index for non-small cell lung cancer.

Authors:  Hao Zhang; Kristen Wroblewski; Yulei Jiang; Bill C Penney; Daniel Appelbaum; Cassie A Simon; Ravi Salgia; Yonglin Pu
Journal:  Lung Cancer       Date:  2015-04-09       Impact factor: 5.705

3.  Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging.

Authors:  Yonglin Pu; James X Zhang; Haiyan Liu; Daniel Appelbaum; Jianfeng Meng; Bill C Penney
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-06-07       Impact factor: 9.236

4.  Sub-cutaneous Fat Mass measured on multislice computed tomography of pretreatment PET/CT is a prognostic factor of stage IV non-small cell lung cancer treated by nivolumab.

Authors:  Geoffrey Popinat; Stéphanie Cousse; Lucas Goldfarb; Stéphanie Becker; Isabelle Gardin; Mathieu Salaün; Sébastien Thureau; Pierre Vera; Florian Guisier; Pierre Decazes
Journal:  Oncoimmunology       Date:  2019-03-06       Impact factor: 8.110

5.  Prognostic value of quantitative PET/CT in patients with a nonsmall cell lung cancer and another primary cancer.

Authors:  Xuee Zhu; Chuanhong Liao; Bill C Penney; Feng Li; Mark K Ferguson; Cassie A Simon; Tianming Wu; Haiyan Liu; Yonglin Pu
Journal:  Nucl Med Commun       Date:  2017-02       Impact factor: 1.690

Review 6.  A review on segmentation of positron emission tomography images.

Authors:  Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu; Daniel J Mollura
Journal:  Comput Biol Med       Date:  2014-04-28       Impact factor: 4.589

Review 7.  Positron emission tomography/computerized tomography in lung cancer.

Authors:  Ilgin Sahiner; Gulin Ucmak Vural
Journal:  Quant Imaging Med Surg       Date:  2014-06

8.  Relationship between Overall Survival of Patients with Non-Small Cell Lung Cancer and Whole-Body Metabolic Tumor Burden Seen on Postsurgical Fluorodeoxyglucose PET Images.

Authors:  Chenpeng Zhang; Chuanhong Liao; Bill C Penney; Daniel E Appelbaum; Cassie A Simon; Yonglin Pu
Journal:  Radiology       Date:  2015-01-14       Impact factor: 11.105

9.  Prediction of survival by [18F]fluorodeoxyglucose positron emission tomography in patients with locally advanced non-small-cell lung cancer undergoing definitive chemoradiation therapy: results of the ACRIN 6668/RTOG 0235 trial.

Authors:  Mitchell Machtay; Fenghai Duan; Barry A Siegel; Bradley S Snyder; Jeremy J Gorelick; Janet S Reddin; Reginald Munden; Douglas W Johnson; Larry H Wilf; Albert DeNittis; Nancy Sherwin; Kwan Ho Cho; Seok-Ki Kim; Gregory Videtic; Donald R Neumann; Ritsuko Komaki; Homer Macapinlac; Jeffrey D Bradley; Abass Alavi
Journal:  J Clin Oncol       Date:  2013-09-16       Impact factor: 44.544

10.  Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours.

Authors:  Christophe Van de Wiele; Vibeke Kruse; Peter Smeets; Mike Sathekge; Alex Maes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

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