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 …

Basis and current state of computed tomography perfusion imaging: a review

D Zeng, C Zeng, Z Zeng, S Li, Z Deng… - Physics in Medicine …, 2022 - iopscience.iop.org
Computed tomography perfusion (CTP) is a functional imaging that allows for providing
capillary-level hemodynamics information of the desired tissue in clinics. In this paper, we …

A transfer learning framework for deep learning-based CT-to-perfusion mapping on lung cancer patients

G Ren, B Li, S Lam, H Xiao, YH Huang… - Frontiers in …, 2022 - frontiersin.org
Purpose Deep learning model has shown the feasibility of providing spatial lung perfusion
information based on CT images. However, the performance of this method on lung cancer …

[HTML][HTML] CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion

AE Wuschner, MJ Flakus, EM Wallat… - Frontiers in …, 2022 - frontiersin.org
Vessel segmentation in the lung is an ongoing challenge. While many methods have been
able to successfully identify vessels in normal, healthy, lungs, these methods struggle in the …

Functional lung avoidance for individualized radiation therapy: Results of a double-masked, randomized controlled trial

BP Yaremko, DPI Capaldi, K Sheikh, DA Palma… - International Journal of …, 2022 - Elsevier
Purpose To determine whether functional lung avoidance based on 3 He magnetic
resonance imaging (MRI) improves quality of life (QOL) for patients undergoing concurrent …

Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer

M Konkol, M Bryl, M Fechner, K Matuszewski… - Journal of Personalized …, 2022 - mdpi.com
Radiation-induced lung injury remains a significant toxicity in thoracic radiotherapy.
Because a precise diagnosis is difficult and commonly used assessment scales are unclear …

Segmentation of Intracranial Structures from Noncontrast CT Images with Deep Learning

E Porter - 2022 - search.proquest.com
Presented in this work is an investigation of the application of artificially intelligent
algorithms, namely deep learning, to generate segmentations for the application in …

Computed tomography ventilation imaging in lung cancer: theory, validation and application

BA Tahir - Detection Systems in Lung Cancer and Imaging …, 2022 - iopscience.iop.org
Computed tomography (CT) anatomic images of the lungs are routinely utilised in the clinic
for the diagnosis, treatment planning, monitoring and treatment assessment of patients with …