Texture analysis of medical images for radiotherapy applications
The high-throughput extraction of quantitative information from medical images, known as
radiomics, has grown in interest due to the current necessity to quantitatively characterize …
radiomics, has grown in interest due to the current necessity to quantitatively characterize …
[HTML][HTML] Radiographic changes after lung stereotactic ablative radiotherapy (SABR)–can we distinguish recurrence from fibrosis? A systematic review of the literature
K Huang, M Dahele, S Senan, M Guckenberger… - Radiotherapy and …, 2012 - Elsevier
BACKGROUND: Changes in lung density on computed tomography (CT) are common after
stereotactic ablative radiotherapy (SABR) and can confound the early detection of …
stereotactic ablative radiotherapy (SABR) and can confound the early detection of …
Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis …
Purpose To assess the relationship between radiation dose and change in a set of
mathematical intensity-and texture-based features and to determine the ability of texture …
mathematical intensity-and texture-based features and to determine the ability of texture …
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer
E Huynh, TP Coroller, V Narayan, V Agrawal… - Radiotherapy and …, 2016 - Elsevier
Background Radiomics uses a large number of quantitative imaging features that describe
the tumor phenotype to develop imaging biomarkers for clinical outcomes. Radiomic …
the tumor phenotype to develop imaging biomarkers for clinical outcomes. Radiomic …
Stereotactic radiotherapy for peripheral lung tumors: a comparison of volumetric modulated arc therapy with 3 other delivery techniques
CL Ong, WFAR Verbakel, JP Cuijpers… - Radiotherapy and …, 2010 - Elsevier
PURPOSE: Volumetric modulated arc therapy (RapidArc) allows for fast delivery of
stereotactic body radiotherapy (SBRT) delivery in stage I lung tumors. We compared dose …
stereotactic body radiotherapy (SBRT) delivery in stage I lung tumors. We compared dose …
[HTML][HTML] High-risk CT features for detection of local recurrence after stereotactic ablative radiotherapy for lung cancer
Background and purpose Early detection of local recurrences following stereotactic ablative
radiotherapy (SABR) for lung cancer may allow for curative salvage treatment, but …
radiotherapy (SABR) for lung cancer may allow for curative salvage treatment, but …
Radiomics-based assessment of radiation-induced lung injury after stereotactic body radiotherapy
A Moran, ME Daly, SSF Yip, T Yamamoto - Clinical lung cancer, 2017 - Elsevier
Background Over 50% of patients who receive stereotactic body radiotherapy (SBRT)
develop radiographic evidence of radiation-induced lung injury. Radiomics is an emerging …
develop radiographic evidence of radiation-induced lung injury. Radiomics is an emerging …
Management of early-stage non-small cell lung cancer using stereotactic ablative radiotherapy: controversies, insights, and changing horizons
The use of stereotactic ablative radiotherapy (SABR) for early-stage non-small cell lung
cancer is growing rapidly, particularly since it has become the recommended therapy for …
cancer is growing rapidly, particularly since it has become the recommended therapy for …
[HTML][HTML] Radiation pneumonitis after stereotactic radiation therapy for lung cancer
H Yamashita, W Takahashi, A Haga… - World journal of …, 2014 - ncbi.nlm.nih.gov
Stereotactic body radiation therapy (SBRT) has a local control rate of 95% at 2 years for non-
small cell lung cancer (NSCLC) and should improve the prognosis of inoperable patients …
small cell lung cancer (NSCLC) and should improve the prognosis of inoperable patients …
NCTN assessment on current applications of radiomics in oncology
K Nie, H Al-Hallaq, XA Li, SH Benedict, JW Sohn… - International Journal of …, 2019 - Elsevier
Radiomics is a fast-growing research area based on converting standard-of-care imaging
into quantitative minable data and building subsequent predictive models to personalize …
into quantitative minable data and building subsequent predictive models to personalize …