[HTML][HTML] Radiation pneumonitis: old problem, new tricks

V Jain, AT Berman - Cancers, 2018 - mdpi.com
Radiation therapy is a major treatment modality for management of non-small cell lung
cancer. Radiation pneumonitis is a dose limiting toxicity of radiotherapy, affecting its …

Functional lung imaging in radiation therapy for lung cancer: A systematic review and meta-analysis

NW Bucknell, N Hardcastle, M Bressel… - Radiotherapy and …, 2018 - Elsevier
Rationale Advanced imaging techniques allow functional information to be derived and
integrated into treatment planning. Methods A systematic review was conducted with the …

Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi

T Nemoto, N Futakami, M Yagi… - Journal of radiation …, 2020 - academic.oup.com
This study aimed to examine the efficacy of semantic segmentation implemented by deep
learning and to confirm whether this method is more effective than a commercially dominant …

The VAMPIRE challenge: a multi‐institutional validation study of CT ventilation imaging

J Kipritidis, BA Tahir, G Cazoulat, MS Hofman… - Medical …, 2019 - Wiley Online Library
Purpose CT ventilation imaging (CTVI) is being used to achieve functional avoidance lung
cancer radiation therapy in three clinical trials (NCT02528942, NCT02308709 …

Multi-institutional validation study of commercially available deformable image registration software for thoracic images

N Kadoya, Y Nakajima, M Saito, Y Miyabe… - International Journal of …, 2016 - Elsevier
Purpose To assess the accuracy of the commercially available deformable image
registration (DIR) software for thoracic images at multiple institutions. Methods and Materials …

GDL-FIRE: Deep learning-based fast 4D CT image registration

T Sentker, F Madesta, R Werner - International Conference on Medical …, 2018 - Springer
Deformable image registration (DIR) in thoracic 4D CT image data is integral for, eg,
radiotherapy treatment planning, but time consuming. Deep learning (DL)-based DIR …

Results of a multi-institutional phase 2 clinical trial for 4DCT-ventilation functional avoidance thoracic radiation therapy

Y Vinogradskiy, R Castillo, E Castillo, L Schubert… - International Journal of …, 2022 - Elsevier
Purpose Radiation pneumonitis remains a major limitation in the radiation therapy treatment
of patients with lung cancer. Functional avoidance radiation therapy uses functional imaging …

Evaluating the toxicity reduction with computed tomographic ventilation functional avoidance radiation therapy

AM Faught, Y Miyasaka, N Kadoya, R Castillo… - International Journal of …, 2017 - Elsevier
Purpose Computed tomographic (CT) ventilation imaging is a new modality that uses 4-
dimensional (4D) CT information to calculate lung ventilation. Although retrospective studies …

Boundary-aware registration network for 4d-ct lung image with sliding motion

L Duan, Y Cao, Z Wang, D Liu, T Fu, G Yuan… - … Signal Processing and …, 2023 - Elsevier
Abstract Background and Objective Fast and accurate registration of 4D-CT lung images is
significant for respiratory motion modeling and radiotherapy planning. However, since the …

Functional lung avoidance and response‐adaptive escalation (FLARE) RT: multimodality plan dosimetry of a precision radiation oncology strategy

E Lee, J Zeng, RS Miyaoka, J Saini… - Medical …, 2017 - Wiley Online Library
Purpose Nonsmall cell lung cancer (NSCLC) patient radiation therapy (RT) is planned
without consideration of spatial heterogeneity in lung function or tumor response. We …