Literature DB >> 24100151

Microscopic disease extensions as a risk factor for loco-regional recurrence of NSCLC after SBRT.

Francisco J Salguero1, Jose S A Belderbos, Maddalena M G Rossi, Johannes L G Blaauwgeers, Joep Stroom, Jan-Jakob Sonke.   

Abstract

PURPOSE: Stereotactic body radiotherapy (SBRT) is a highly conformal technique that allows a more accurate irradiation of lung tumors. However, a highly conformal dose distribution may underdose undetected microscopic disease extensions (MDE) near the tumor leading to loco-regional failure in tumor control. The purpose of the current work is to assess the risk of loco-regional failure in SBRT by analyzing pre-treatment scans. METHODS AND MATERIALS: A model to predict the risk of occurrence of MDE from pretreatment images was developed based on pathology samples of 47 lung cancer patients. This model was used to assess the outcome of 238 SBRT treatments.
RESULTS: Patients with high risk of MDE presence showed significantly lower 2-year loco-regional control (82.0% vs. 91.8%) and shorter time to loco-regional failure (8.4 months vs. 20.7 months) than low risk patients. The minimum dose delivered in the volume surrounding the GTV affected the model predictive power. The model remained predictive for patients who received less than 31 Gy in that volume. For patients who received larger doses, the MDE risk classification was not significant.
CONCLUSIONS: The results show that MDEs are, at least partially, responsible of loco-regional failure in highly conformal radiotherapy. This information could be used to optimize dose distributions.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Image analysis; Lung cancer; Microscopic disease; Stereotactic body radiotherapy

Mesh:

Year:  2013        PMID: 24100151     DOI: 10.1016/j.radonc.2013.08.028

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  4 in total

Review 1.  Radiation oncology in the era of precision medicine.

Authors:  Michael Baumann; Mechthild Krause; Jens Overgaard; Jürgen Debus; Søren M Bentzen; Juliane Daartz; Christian Richter; Daniel Zips; Thomas Bortfeld
Journal:  Nat Rev Cancer       Date:  2016-03-18       Impact factor: 60.716

2.  Impact of dose to lung outside the planning target volume on distant metastasis or progression after SBRT for early-stage non-small cell lung cancer.

Authors:  Ryan T Hughes; Cole R Steber; Travis J Jacobson; Michael K Farris
Journal:  Radiother Oncol       Date:  2021-03-09       Impact factor: 6.280

3.  Automated gross tumor volume contour generation for large-scale analysis of early-stage lung cancer patients planned with 4D-CT.

Authors:  Angela Davey; Marcel van Herk; Corinne Faivre-Finn; Sean Brown; Alan McWilliam
Journal:  Med Phys       Date:  2020-12-30       Impact factor: 4.071

4.  Radial Data Mining to Identify Density-Dose Interactions That Predict Distant Failure Following SABR.

Authors:  Angela Davey; Marcel van Herk; Corinne Faivre-Finn; Alan McWilliam
Journal:  Front Oncol       Date:  2022-03-09       Impact factor: 6.244

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.