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Related Concept Videos

Computed Tomography01:10

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...
Biological Effects of Radiation02:59

Biological Effects of Radiation

All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they produce ions...

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Related Experiment Video

Updated: Jun 16, 2026

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer
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Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

Published on: May 20, 2016

Quantifying local radiation-induced lung damage from computed tomography.

Ghazaleh Ghobadi1, Laurens E Hogeweg, Hette Faber

  • 1Department of Radiation Oncology, University Medical Center Groningen/University of Groningen, Groningen, The Netherlands.

International Journal of Radiation Oncology, Biology, Physics
|February 2, 2010
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method using computed tomography (CT) to quantify local radiation-induced lung tissue damage. This technique aids in creating better predictive models for normal tissue complications from radiotherapy.

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Last Updated: Jun 16, 2026

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer
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Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

Published on: May 20, 2016

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

Area of Science:

  • Radiotherapy
  • Medical Imaging
  • Pulmonary Medicine

Background:

  • Accurate predictive models for normal tissue complications are crucial for advancing radiotherapy techniques.
  • Non-uniform dose distributions in clinical radiotherapy necessitate localized measurement of tissue damage.
  • Computed tomography (CT) can noninvasively assess radiation-induced density changes in lung tissue, but localized quantification has been lacking.

Purpose of the Study:

  • To develop a method for quantifying local radiation-induced lung tissue damage using CT.
  • To establish a localized dose-effect relationship for radiation-induced lung injury.

Main Methods:

  • CT images of rat thoraxes were acquired at 8 and 26 weeks post-irradiation across various lung volumes (100%, 75%, 50%, 25%).
  • Local lung tissue structure (S(L)) was quantified using the mean and standard deviation of CT density in 1-mm³ subvolumes.
  • The method's clinical feasibility was assessed using CT data from a non-small-cell lung carcinoma patient.

Main Results:

  • A clear dose-response relationship for changes in local lung tissue structure (DeltaS(L)) was observed in rats at different time points post-irradiation.
  • DeltaS(L) showed strong correlations with histological findings (infiltrates, inflammatory cells) and changes in breathing rate.
  • The patient data demonstrated progressive, local dose-dependent increases in DeltaS(L).

Conclusions:

  • A novel method for quantifying local radiation-induced lung tissue damage via CT has been successfully developed.
  • This quantitative CT-based method holds promise for improving the accuracy of predictive models for normal tissue complications in radiotherapy.