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Local tumor control probability modeling of primary and secondary lung tumors in stereotactic body radiotherapy

Authors :
Oliver Blanck
Peter Hass
Michael Flentje
Ute Ganswindt
Meinhard Nevinny-Stickel
Marciana Nona Duma
Judit Boda-Heggemann
Iris Ernst
Robert Krempien
Richard Holy
Jan Streblow
Detlef Imhoff
Sabine Semrau
H. Kahl
Florian Sterzing
Cordula Petersen
Fabian Lohaus
Christoph Henkenberens
Thomas G. Wendt
Matthias Guckenberger
Andrea Wittig
Nicolaus Andratschke
Rainer J. Klement
Michael Allgäuer
Karin Dieckmann
Ursula Nestle
Publication Year :
2016

Abstract

To evaluate whether local tumor control probability (TCP) in stereotactic body radiotherapy (SBRT) varies between lung metastases of different primary cancer sites and between primary non-small cell lung cancer (NSCLC) and secondary lung tumors.A retrospective multi-institutional (n=22) database of 399 patients with stage I NSCLC and 397 patients with 525 lung metastases was analyzed. Irradiation doses were converted to biologically effective doses (BED). Logistic regression was used for local tumor control probability (TCP) modeling and the second-order bias corrected Akaike Information Criterion was used for model comparison.After median follow-up of 19 months and 16 months (n.s.), local tumor control was observed in 87.7% and 86.7% of the primary and secondary lung tumors (n.s.), respectively. A strong dose-response relationship was observed in the primary NSCLC and metastatic cohort but dose-response relationships were not significantly different: the TCD90 (dose to achieve 90% TCP; BED of maximum planning target volume dose) estimates were 176 Gy (151-223) and 160 Gy (123-237) (n.s.), respectively. The dose-response relationship was not influenced by the primary cancer site within the metastatic cohort.Dose-response relationships for local tumor control in SBRT were not different between lung metastases of various primary cancer sites and between primary NSCLC and lung metastases.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....86d176114470eab7e31052038ad4bd87