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Imaging Studies III: Computed Tomography01:27

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...
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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.
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Related Experiment Video

Updated: Jul 1, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
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Published on: September 6, 2024

Breast imaging using 3D electrical impedence tomography.

Sachin N Prasad1, Dana Houserkova, Jan Campbell

  • 1Department of Radiology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic. drsachinprasadn@yahoo.co.in

Biomedical Papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia
|September 17, 2008
PubMed
Summary

3D Electrical Impedance Tomography (EIT) shows promise as an adjunct for breast cancer detection. While not superior to mammography or ultrasonography overall, EIT demonstrated significant value in identifying cysts.

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Area of Science:

  • Biomedical Imaging
  • Medical Physics
  • Radiology

Background:

  • Breast cancer diagnosis relies on imaging modalities like mammography (MG) and ultrasonography (USG).
  • 3D Electrical Impedance Tomography (EIT) is an emerging imaging technique with potential applications in breast lesion detection.

Purpose of the Study:

  • To evaluate the diagnostic efficiency of 3D EIT in comparison to MG and USG for breast imaging.
  • To determine the sensitivity of EIT, MG, and USG in differentiating various breast pathologies.

Main Methods:

  • 88 patients with breast complaints underwent imaging with MG and USG (alone or combined) and 3D EIT.
  • Sensitivity of each modality was calculated and statistically analyzed for different breast conditions.

Main Results:

  • EIT sensitivity was 77.8% for fibrocystic mastitis, 100% for cysts, 68.8% for fibroadenoma, and 75% for carcinoma.
  • USG showed the highest sensitivity for fibrocystic mastitis (94.4%) and cysts (100%). MG sensitivity was highest for fibroadenoma (87.5%) and carcinoma (100%).
  • No significant overall difference in sensitivity was found between MG-USG, MG-EIT, and USG-EIT, but EIT and USG were significantly better than MG for identifying cysts.

Conclusions:

  • 3D EIT can serve as an adjunctive tool for breast cancer detection alongside MG and USG.
  • Further research is needed to differentiate malignant from benign lesions using impedance measurements.
  • Multifrequency EIT shows promise for breast malignancy detection, requiring methodological advancements.