Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

9.2K
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...
9.2K
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

556
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
556

You might also read

Related Articles

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

Sort by
Same author

Assessing accuracy and artefacts in proton stopping power ratio images across four computed tomography imaging workflows using a head-sized electron density phantom.

Radiation protection dosimetry·2026
Same author

Dose-Volume Predictors of Fatal Bronchopulmonary Bleeding After Stereotactic Body Radiation Therapy of Centrally Located Lung Tumors: An Analysis of the Expanded HILUS Cohort.

International journal of radiation oncology, biology, physics·2026
Same author

Increased Blood Levels of NfL, GFAP, and Placental Growth Factor After Radiotherapy to the Brain.

Annals of clinical and translational neurology·2025
Same author

Effect of a Home-Based Exercise Program on Muscle Mass, Fatigue, and Health-Related Quality of Life Among Patients with Oral Cancer: A Randomized Trial.

Head & neck·2025
Same author

Monotherapy With Immune Checkpoint Blockade Improves Survival Outcomes in KRAS-Mutant but Not KRAS Wild-Type Metastatic Lung Adenocarcinoma: Validation From an Extended Swedish Cohort.

JTO clinical and research reports·2025
Same author

Three-dimensional dose uncertainty maps based on the fraction of field edge dose for volumetric modulated arc therapy plans.

Physics and imaging in radiation oncology·2025

Related Experiment Video

Updated: Mar 9, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.3K

Systematic evaluation of lung tumor motion using four-dimensional computed tomography.

Sebastian Sarudis1,2, Anna Karlsson Hauer3, Jan Nyman4

  • 1a Department of Therapeutic Radiation Physics , Sahlgrenska University Hospital , Borås , Sweden.

Acta Oncologica (Stockholm, Sweden)
|January 12, 2017
PubMed
Summary

Lung tumor motion during radiation therapy (RT) is significant, especially in the inferior-superior (IS) direction. Tumor size did not affect motion, but location in the middle or lower lung increased IS motion.

More Related Videos

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

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

Published on: November 23, 2019

8.5K
Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy
08:54

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

15.1K

Related Experiment Videos

Last Updated: Mar 9, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.3K
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

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

Published on: November 23, 2019

8.5K
Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy
08:54

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

15.1K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy

Background:

  • Respiratory motion of lung tumors can compromise radiation therapy (RT) outcomes.
  • Understanding lung tumor motion is crucial for improving RT accuracy and efficacy.

Purpose of the Study:

  • To quantify lung tumor motion during stereotactic body radiation therapy (SBRT).
  • To investigate the influence of tumor size and location on lung tumor motion patterns.

Main Methods:

  • Four-dimensional computed tomography (4D CT) scans from 126 patients undergoing SBRT were analyzed.
  • Tumor motion was assessed by center of mass shift in inferior-superior (IS), left-right (LR), and anterior-posterior (AP) directions.
  • Motion patterns were analyzed using sinusoidal functions and statistical tests, correlating with tumor size and location.

Main Results:

  • Mean tumor motion amplitudes were 6.9 mm (IS), 1.5 mm (LR), and 2.5 mm (AP).
  • 95% of tumors moved ≤20 mm (IS), ≤3 mm (LR), and ≤6 mm (AP).
  • IS motion significantly increased in the middle and lower lung lobes; no significant correlation with tumor size was found.

Conclusions:

  • Lung tumor motion is predominantly in the IS direction, increasing with lower lung location.
  • Tumor size does not correlate with motion amplitude in any direction.
  • Squared sinusoidal functions accurately describe lung tumor motion patterns, irrespective of size or location.