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Related Concept Videos

Computed Tomography01:10

Computed Tomography

7.7K
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...
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Related Experiment Video

Updated: Nov 29, 2025

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

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Computed tomography reveals microenvironment changes in premetastatic lung.

Ranran Li1, Yana Qi1, Meng Han2

  • 1Cancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China.

European Radiology
|November 21, 2020
PubMed
Summary
This summary is machine-generated.

Computed tomography (CT) can detect lung microenvironment changes before metastasis is clinically diagnosed. This imaging tool quantifies premetastatic niche development, aiding in early detection and research.

Keywords:
Breast cancerLungNeoplasm metastasesTomography, X-ray computed

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Area of Science:

  • Oncology
  • Radiology
  • Pathology

Background:

  • Metastatic organs undergo microenvironment alterations prior to tumor cell arrival.
  • Understanding the premetastatic niche is crucial for early cancer detection and intervention.

Purpose of the Study:

  • To evaluate computed tomography (CT) effectiveness in quantifying premetastatic lung microenvironment changes.
  • To correlate CT-derived lung indicators with microenvironment changes in laboratory and clinical settings.

Main Methods:

  • Micro-CT imaging was performed repeatedly on mice bearing 4T1 breast tumors.
  • CT-derived lung indicators (volume, density, etc.) were quantified and correlated with histological findings.
  • Lung CT images from human patients with varying stages of breast cancer were analyzed.

Main Results:

  • Increased lung density was observed in tumor-bearing mice before detectable lung masses on CT.
  • This increased lung density correlated with inflammation severity in the premetastatic lung.
  • In patients, elevated lung density preceded clinical diagnosis of pulmonary metastasis and correlated with disease score.

Conclusions:

  • CT is a reliable, quantitative tool for dynamic assessment of metastatic processes.
  • Microenvironmental lung changes occur before clinical diagnosis of pulmonary metastasis.
  • This study offers insights into premetastatic niche research using CT imaging.