Benefit of using motion compensated reconstructions for reducing inter-observer and intra-observer contouring variation for organs at risk in lung cancer patients

A McWilliam, L Lee, M Harris, H Sheikh… - Radiotherapy and …, 2018 - Elsevier
Background and purpose In lung cancer patients, accuracy in contouring is hampered by
image artefacts introduced by respiratory motion. With the widespread introduction of 4DCT …

An evaluation of an automated 4D-CT contour propagation tool to define an internal gross tumour volume for lung cancer radiotherapy

S Gaede, J Olsthoorn, AV Louie, D Palma, E Yu… - Radiotherapy and …, 2011 - Elsevier
BACKGROUND AND PURPOSE: To evaluate an automated 4D-CT contouring propagation
tool by its impact on the inter-and intra-physician variability in lung tumour delineation …

The impact of CT window settings on the contouring of a moving target: A phantom study

KJ Borm, M Oechsner, JJ Wilkens, J Berndt, M Molls… - Clinical Radiology, 2014 - Elsevier
Materials and methods All experiments were carried out using the same “target”—a table
tennis ball filled with water. The diameter of the ball was 4 cm (calculated volume 33.51 cm …

Reproducibility of “intelligent” contouring of gross tumor volume in non-small cell lung cancer on PET/CT images using a standardized visual method

MP MacManus, M Bayne, N Fimmell… - International Journal of …, 2007 - redjournal.org
Results Although there was statistically significant variation of GTV among the observers, the
magnitude of this variation relative to both the mean,(Coefficient of Variation (CV)= 3%) and …

Comparison of intensity-modulated radiotherapy planning based on manual and automatically generated contours using deformable image registration in four …

E Weiss, K Wijesooriya, V Ramakrishnan… - International Journal of …, 2008 - Elsevier
PURPOSE: To evaluate the implications of differences between contours drawn manually
and contours generated automatically by deformable image registration for four-dimensional …

[HTML][HTML] Autocontouring of primary lung lesions and nodal disease for radiotherapy based only on computed tomography images

S Skett, T Patel, D Duprez, S Gupta, T Netherton… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose In many clinics, positron-emission tomography is unavailable and
clinician time extremely limited. Here we describe a deep-learning model for autocontouring …

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

A Davey, M Van Herk, C Faivre‐Finn, S Brown… - Medical …, 2021 - Wiley Online Library
Purpose Patients with early‐stage lung cancer undergoing stereotactic ablative radiotherapy
receive four‐dimensional computed tomography (4D‐CT) for treatment planning. Often, an …

Does motion assessment with 4-dimensional computed tomographic imaging for non–small cell lung cancer radiotherapy improve target volume coverage?

N Ahmed, S Venkataraman… - Clinical Medicine …, 2017 - journals.sagepub.com
Introduction: Modern radiotherapy with 4-dimensional computed tomographic (4D-CT)
image acquisition for non–small cell lung cancer (NSCLC) captures respiratory-mediated …

[HTML][HTML] Deep Learning-Assisted interactive contouring of lung Cancer: Impact on contouring time and consistency

MJ Trimpl, S Campbell, N Panakis… - Radiotherapy and …, 2024 - Elsevier
Abstract Background and Purpose To evaluate the impact of a deep learning (DL)-assisted
interactive contouring tool on inter-observer variability and the time taken to complete …

A review of automatic lung tumour segmentation in the era of 4DCT

NW Yuzhen, S Barrett - Reports of Practical Oncology and …, 2019 - journals.viamedica.pl
Aim To review the literature on auto-contouring methods of lung tumour volumes on four-
dimensional computed tomography (4DCT). Background Manual delineation of lung tumour …