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Validating impact of pretreatment tumor growth rate on outcome of early‐stage lung cancer treated with stereotactic body radiation therapy.

Authors :
Atallah, Soha
Le, Lisa W.
Bezjak, Andrea
MacRae, Robert
Hope, Andrew J.
Pantarotto, Jason
Source :
Thoracic Cancer; Jan2021, Vol. 12 Issue 2, p201-209, 9p
Publication Year :
2021

Abstract

Background: To assess correlation of pretreatment specific growth rate (SGR) value of 0.43 × 10‐2 with overall and failure‐free survival of patients with early‐stage non‐small cell lung cancer (NSCLC) treated with stereotactic body radiation therapy (SBRT). Methods: A retrospective chart review of 160 patients with pathologically confirmed stage I NSCLC treated with SBRT between June 2010 and December 2012 in a large, tertiary cancer institute was undertaken. Both diagnostic and archived planning CT were uploaded to the treatment planning system to determine tumor volume at diagnosis (GTV1) and planning time (GTV2). The time (t) between both CTs was recorded. SGR was calculated using GTV1, GTV2, and t. The median SGR (0.43 × 10‐2) from our previous data was used to group patients into low and high SGR cohorts. Log‐rank test was used to compare overall (OS) and failure‐free survivals (FFS) of SGR groups. Results: The median time interval between diagnostic and planning CT scans was 87 days. The median OS was 38 and 66 months for high and low SGR cohorts, respectively (P = 0.03). The median FFS was 27 and 55 months for high and low SGR cohorts, respectively (P = 0.005). High SGR (P < 0.05), male gender (P = <0.01), and GTV2 (P = <0.05) were associated with poorer FFS. Conclusions: High SGR was associated with poorer outcome in patients with early‐stage NSCLC treated with SBRT. SGR can be used in conjunction with other well‐known predictive factors to formulate a practical predictive model to identify subgroups of the patient at higher risk of recurrence after SBRT. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17597706
Volume :
12
Issue :
2
Database :
Complementary Index
Journal :
Thoracic Cancer
Publication Type :
Academic Journal
Accession number :
148160573
Full Text :
https://doi.org/10.1111/1759-7714.13744