Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Clinical feasibility of fast adaptive four-dimensional cone-beam computed tomography for lung cancer radiotherapy.

Physics and imaging in radiation oncology·2026

Same author

Simultaneous concurrent chemoradiation and SBRT in stage III NSCLC: Safety report of the phase I hybrid trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same author

Estimation of accumulated dose to organs at risk in head and neck cancer patients treated with scheduled replanning and dose painting in the ARTFORCE trial.

Physics and imaging in radiation oncology·2026

Same author

Dose-based evaluation of delineation variation in radiotherapy: A scoping review.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same author

Acute and long-term toxicity profiles and final oncologic outcomes in the phase III ARTFORCE trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same author

Automated target misalignment correction for cone beam computed tomography-based online adaptive radiotherapy of locally advanced lung cancer patients.

Physics and imaging in radiation oncology·2025

Search research articles

Related Experiment Video

Updated: Jul 9, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Variability of four-dimensional computed tomography patient models.

Jan-Jakob Sonke¹, Joos Lebesque, Marcel van Herk

¹Department of Radiation Oncology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. j.sonke@nki.nl

International Journal of Radiation Oncology, Biology, Physics

|November 27, 2007

Summary

Interfractional baseline variations in lung cancer radiation therapy are significant, necessitating larger safety margins. Four-dimensional cone-beam computed tomography (4D-CBCT) can monitor tumor motion and enable margin reduction.

More Related Videos

3D Printing Model of a Patient's Specific Lumbar Vertebra

3D Printing Model of a Patient's Specific Lumbar Vertebra

Published on: April 14, 2023

Four-Dimensional Computed Tomography-Guided Valve Sizing for Transcatheter Pulmonary Valve Replacement

Four-Dimensional Computed Tomography-Guided Valve Sizing for Transcatheter Pulmonary Valve Replacement

Published on: January 20, 2022

Related Experiment Videos

Last Updated: Jul 9, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

3D Printing Model of a Patient's Specific Lumbar Vertebra

3D Printing Model of a Patient's Specific Lumbar Vertebra

Published on: April 14, 2023

Four-Dimensional Computed Tomography-Guided Valve Sizing for Transcatheter Pulmonary Valve Replacement

Four-Dimensional Computed Tomography-Guided Valve Sizing for Transcatheter Pulmonary Valve Replacement

Published on: January 20, 2022

Area of Science:

Radiation Oncology
Medical Imaging
Tumor Motion Analysis

Background:

Lung tumor motion introduces geometric uncertainties in radiation therapy.
Accurate tumor targeting is crucial for effective treatment and minimizing dose to healthy tissues.

Purpose of the Study:

To quantify interfractional variability in lung tumor trajectory and mean position during radiation therapy.
To assess the impact of baseline variations on planning target volume margins.

Main Methods:

Analysis of repeat four-dimensional (4D) cone-beam computed tomography (CBCT) scans from 56 lung cancer patients.
Tumor motion assessed using local rigid registration of a region of interest.
Interfractional baseline variations calculated using time-weighted averaging of motion curves.

Main Results:

Tumor trajectory shape showed stable interfractional variability (<1 mm).
Significant interfractional baseline variations were observed: systematic (1.6-3.9 mm) and random (1.2-2.4 mm).
Soft-tissue guidance to eliminate baseline variations can decrease planning target volume margins by approximately 50%.

Conclusions:

Systematic and random baseline variations are substantial components of geometric variability in lung cancer treatment.
Reliance on setup/immobilization or bony anatomy requires generous safety margins.
Four-dimensional cone-beam computed tomography (4D-CBCT) enables accurate monitoring and image-guided correction, allowing for safe margin reduction.