Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Pretreatment SUV<inf>max</inf> predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy

Horne, ZD and Clump, DA and Vargo, JA and Shah, S and Beriwal, S and Burton, SA and Quinn, AE and Schuchert, MJ and Landreneau, RJ and Christie, NA and Luketich, JD and Heron, DE (2014) Pretreatment SUV<inf>max</inf> predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy. Radiation Oncology, 9 (1).

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (706kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Background: This retrospective study aims to assess the usefulness of SUVmax from FDG-PET imaging as a prognosticator for primary biopsy-proven stage I NSCLC treated with SBRT.Methods: This study includes 95 patients of median age 77 years, with primary, biopsy-confirmed peripheral stage IA/IB NSCLC. All patients were treated with 60Gy in 3 fractions with a median treatment time of six days. Local, regional, and distant failures were evaluated independently according to the terms of RTOG1021. Local, regional, and distant control, overall- and progression-free survival were estimated by the Kaplan-Meier method. Cox proportional hazards regression was performed to determine whether SUVmax, age, KPS, gender, tumor size/T stage, or smoking history influenced outcomes. SUVmax was evaluated as both a continuous and as a dichotomous variable using a cutoff of <5 and ≥5.Results: Median follow-up for the cohort was 16 months. Median OS and PFS were 25.3 and 40.3 months, respectively. SUV with a cutoff value of 5 predicted for OS and PFS (p = .024 for each) but did not achieve significance for LC (p = .256). On Cox univariate regression analysis, SUV as a dichotomous variable predicted for both OS and PFS (p = .027 and p = .030, respectively). Defined as a continuous variable, SUVmax continued to predict for OS and PFS (p = .032 and p = .003), but also predicted LC (p = .045) and trended toward significance for DC (p = .059).SUVmax did not predict for OS as a dichotomous or continuous variable. It did, however, predict for PFS as a continuous variable (p = .008), neared significance for local control (p = .057) and trended towards, significance for distant control (p = .092).Conclusions: SUVmax appears to be a statistically and clinically significant independent prognostic marker for progression-free survival in patients with stage I NSCLC treated with SBRT. Prospective studies to more accurately define the role of tumor FDG uptake in the prognosis of NSCLC are warranted. © 2014 Horne et al.; licensee BioMed Central Ltd.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Horne, ZD
Clump, DAdac158@pitt.eduDAC158
Vargo, JA
Shah, S
Beriwal, SSUB45@pitt.eduSUB45
Burton, SA
Quinn, AE
Schuchert, MJmjs11@pitt.eduMJS11
Landreneau, RJ
Christie, NAnac8@pitt.eduNAC8
Luketich, JDluketich@pitt.eduLUKETICH
Heron, DEdeh5@pitt.eduDEH5
Centers: Other Centers, Institutes, Offices, or Units > Pittsburgh Cancer Institute
Date: 30 January 2014
Date Type: Publication
Journal or Publication Title: Radiation Oncology
Volume: 9
Number: 1
DOI or Unique Handle: 10.1186/1748-717x-9-41
Schools and Programs: School of Medicine > Cardiothoracic Surgery
School of Medicine > Radiation Oncology
Refereed: Yes
Date Deposited: 02 Dec 2016 20:32
Last Modified: 22 Jun 2021 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/29605

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item