Cargando…

Determination of patient-specific internal gross tumor volumes for lung cancer using four-dimensional computed tomography

BACKGROUND: To determine the optimal approach to delineating patient-specific internal gross target volumes (IGTV) from four-dimensional (4-D) computed tomography (CT) image data sets used in the planning of radiation treatment for lung cancers. METHODS: We analyzed 4D-CT image data sets of 27 conse...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ezhil, Muthuveni, Vedam, Sastry, Balter, Peter, Choi, Bum, Mirkovic, Dragan, Starkschall, George, Chang, Joe Y
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2645420/ https://www.ncbi.nlm.nih.gov/pubmed/19173738 http://dx.doi.org/10.1186/1748-717X-4-4

Ejemplares similares

Determination of an optimal organ set to implement deformations to support four‐dimensional dose calculations in radiation therapy planning
por: Soofi, Wafa, et al.
Publicado: (2008)

Quantitative assessment of four‐dimensional computed tomography image acquisition quality
por: Starkschall, George, et al.
Publicado: (2007)

Gross tumor volume dependency on phase sorting methods of four-dimensional computed tomography images for lung cancer
por: Lee, Soo Yong, et al.
Publicado: (2017)

Comparison of gross tumor volume of primary oesophageal cancer based on contrast-enhanced three-dimensional, four-dimensional, and cone beam computed tomography
por: Hu, Chao-Yue, et al.
Publicado: (2017)

Comparison of gross target volumes based on four‐dimensional CT, positron emission tomography‐computed tomography, and magnetic resonance imaging in thoracic esophageal cancer
por: Li, Huimin, et al.
Publicado: (2020)

A technique for reducing patient setup uncertainties by aligning and verifying daily positioning of a moving tumor using implanted fiducials
por: Nelson, Christopher, et al.
Publicado: (2008)

Efficient approach for determining four-dimensional computed tomography-based internal target volume in stereotactic radiotherapy of lung cancer
por: Yeo, Seung-Gu, et al.
Publicado: (2013)

Investigation of Internal Target Volumes Using Device and Deviceless Four-dimensional Respiratory Monitoring Systems for Moving Targets in Four-dimensional Computed Tomography Acquisition
por: Holla, Raghavendra, et al.
Publicado: (2019)

Use of three‐dimensional (3D) optical flow method in mapping 3D anatomic structure and tumor contours across four‐dimensional computed tomography data
por: Zhang, Geoffrey, et al.
Publicado: (2008)

Comparison of internal target volumes defined by three-dimensional, four-dimensional, and cone-beam computed tomography images of a motion phantom
por: Wang, Yu, et al.
Publicado: (2020)

On the evaluation of mobile target trajectory between four‐dimensional computer tomography and four‐dimensional cone‐beam computer tomography
por: Baley, Colton, et al.
Publicado: (2021)

Reconstitution of internal target volumes by combining four-dimensional computed tomography and a modified slow computed tomography scan in stereotactic body radiotherapy planning for lung cancer
por: Jang, Seong Soon, et al.
Publicado: (2014)

Using four‐dimensional computed tomography images to optimize the internal target volume when using volume‐modulated arc therapy to treat moving targets
por: Yakoumakis, Nikolaos, et al.
Publicado: (2012)

Four-dimensional computed tomography: musculoskeletal applications
por: Wong, Murray T., et al.
Publicado: (2022)

Interobserver Variability of Gross Tumor Volume Delineation for Colorectal Liver Metastases Using Computed Tomography and Magnetic Resonance Imaging
por: Marshall, Cora, et al.
Publicado: (2022)

Gross tumour delineation on computed tomography and positron emission tomography-computed tomography in oesophageal cancer: A nationwide study
por: Nowee, M.E., et al.
Publicado: (2018)

To study tumor motion and planning target volume margins using four dimensional computed tomography for cancer of the thorax and abdomen regions
por: Deshpande, Sudesh
Publicado: (2011)

Prognosticating Gross Tumor Volume in Head-and-Neck Cancer – Redefining Gross Tumor Volume Beyond Contouring
por: Ahmed, Imtiaz, et al.
Publicado: (2023)

18-Fluorodeoxy-Glucose Positron Emission Tomography-Computed Tomography (18-FDG-PET/CT) for Gross Tumor Volume (GTV) Delineation in Gastric Cancer Radiotherapy
por: Dębiec, Kinga, et al.
Publicado: (2017)

Variation in target volume and centroid position due to breath holding during four‐dimensional computed tomography scanning: A phantom study
por: Miyamae, Yuta, et al.
Publicado: (2019)

Modelling of stress transfer in root-reinforced soils informed by four-dimensional X-ray computed tomography and digital volume correlation data
por: Bull, Daniel J., et al.
Publicado: (2022)

3D Ultrasound versus Computed Tomography for Tumor Volume Measurement Compared to Gross Pathology—A Pilot Study on an Animal Model
por: Makouei, Fatemeh, et al.
Publicado: (2022)

Individually wide range of renal motion evaluated by four-dimensional computed tomography
por: Yamashita, Hideomi, et al.
Publicado: (2014)

Asymptomatic floating thrombus in the ascending aorta depicted on four-dimensional computed tomography
por: Nishimura, Takamasa, et al.
Publicado: (2020)

First clinical evaluation of breathing controlled four-dimensional computed tomography imaging
por: Szkitsak, Juliane, et al.
Publicado: (2021)

Quality assurance of a breathing controlled four-dimensional computed tomography algorithm
por: Szkitsak, Juliane, et al.
Publicado: (2022)

Application of four-dimensional cone beam computed tomography in lung cancer radiotherapy
por: Abulimiti, Muyasha, et al.
Publicado: (2023)

A comprehensive quality assurance program for four-dimensional computed tomography in radiotherapy
por: Bakkali Tahiri, Jinane, et al.
Publicado: (2023)

Comparison of endoscopically determined gross tumor volume and metabolic tumor volume in esophageal cancer
por: Lee, Tae Hoon, et al.
Publicado: (2021)

Three-Dimensional Volume Rendering in Computed Tomography for Evaluation of the Temporomandibular Joint in Dogs
por: Novales, Manuel, et al.
Publicado: (2023)

Gross tumor volume of adenocarcinoma of esophagogastric junction corresponding to cT and cN stages measured with computed tomography to quantitatively determine resectabiliy: A case control study
por: Li, Ke-ying, et al.
Publicado: (2022)

Four-Dimensional Computed Tomography Based Respiratory-Gated Radiotherapy with Respiratory Guidance System: Analysis of Respiratory Signals and Dosimetric Comparison
por: Lee, Jung Ae, et al.
Publicado: (2014)

An investigation of temporal resolution parameters in cine‐mode four‐dimensional computed tomography acquisition
por: Mutaf, Yildirim D., et al.
Publicado: (2008)

Optical computed tomography for spatially isotropic four-dimensional imaging of live single cells
por: Kelbauskas, Laimonas, et al.
Publicado: (2017)

An automated method for comparing motion artifacts in cine four‐dimensional computed tomography images
por: Cui, Guoqiang, et al.
Publicado: (2012)

Comparison of four dimensional computed tomography and magnetic resonance imaging in abdominal radiotherapy planning
por: Oar, Andrew, et al.
Publicado: (2018)

Quantifying in vivo scaphoid, lunate, and capitate kinematics using four-dimensional computed tomography
por: Brinkhorst, Michelle, et al.
Publicado: (2020)

Four-dimensional computed tomography scan for dynamic elbow disorders: recommendations for clinical utility
por: Seah, Renyi Benjamin, et al.
Publicado: (2021)

Four-dimensional computed tomography evaluation of shoulder joint motion in collegiate baseball pitchers
por: Momma, Daisuke, et al.
Publicado: (2022)

Adjoint image warping using multivariate splines with application to four‐dimensional computed tomography
por: Renders, Jens, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_hfjki04cvus3p4m0ifo6thod11