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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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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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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.
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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Measuring Computed Tomography Scanner Variability of Radiomics Features.

Dennis Mackin1, Xenia Fave, Lifei Zhang

  • 1From the *Department of Radiation Physics, The University of Texas MD Anderson Cancer Center; †Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston; ‡Research Service Line and Diagnostic and Therapeutic Care Line, Michael E. DeBakey VA Medical Center; §Department of Radiology, Baylor College of Medicine; ∥Radiation Oncology Department, Houston Methodist Hospital; ¶Department of Diagnostic Imaging, Texas Children's Hospital; and #Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX.

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Interscanner variability in CT radiomics features can be significant, comparable to patient differences in non-small cell lung cancer (NSCLC) tumors. Minimizing these scanner-induced variations is crucial for future radiomics research.

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Area of Science:

  • Medical Imaging
  • Radiomics
  • Quantitative Imaging

Background:

  • Radiomics enables quantitative analysis of medical images.
  • Interscanner variability poses a challenge for reproducible radiomics studies.
  • Standardization is needed for reliable radiomics feature extraction.

Purpose of the Study:

  • To assess the significance of interscanner variability in computed tomography (CT) radiomics.
  • To quantify the impact of different CT scanners on radiomics features.
  • To compare interscanner variability with interpatient variability in non-small cell lung cancer (NSCLC) imaging.

Main Methods:

  • Compared radiomics features from NSCLC tumors and a specialized radiomics phantom across multiple CT scanners (GE, Philips, Siemens, Toshiba) from different institutions.
  • Utilized a phantom with 10 cartridges of varying materials to cover a wide range of radiomics values.
  • Introduced 'feature noise' metric to quantify interscanner variability and employed hierarchical clustering to analyze scan patterns.

Main Results:

  • Phantom's dynamic range encompassed NSCLC tumor CT number ranges.
  • Interscanner variability varied by cartridge material and feature type, sometimes exceeding interpatient variability for NSCLC.
  • Busyness feature showed highest interscanner noise; texture strength showed the least.
  • Hierarchical clustering revealed scanner manufacturer-based clustering patterns.

Conclusions:

  • CT scanner variability can significantly impact radiomics feature values, potentially matching tumor heterogeneity.
  • Interscanner differences must be carefully considered and mitigated in radiomics research.
  • Standardization protocols are essential for robust and comparable radiomics analyses across different scanners and institutions.