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Related Concept Videos

Computed Tomography01:10

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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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Imaging Studies III: Computed Tomography01:27

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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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What is Variation?01:14

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
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Variation: Normal Distribution, Range, and Standard Deviation02:32

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In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
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Variation01:19

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Changes in the environment of the early Earth drove the evolution of organisms. As prokaryotic organisms in the oceans began to photosynthesize, they produced oxygen. Eventually, oxygen saturated the oceans and entered the air, resulting in an increase in atmospheric oxygen concentration, known as the oxygen revolution approximately 2.3 billion years ago. Therefore, organisms that could use oxygen for cellular respiration had an advantage. More than 1.5 years ago, eukaryotic cells and...
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Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
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Interobserver Variation of Colonic Polyp Measurement at Computed Tomography Colonography.

Gurjeet Dulku1, Chandra Hewavitharana1, Tonya Halliday1

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Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes
|January 30, 2019
PubMed
Summary
This summary is machine-generated.

Radiologists show variable performance in measuring polyp size using computed tomography colonography (CTC), impacting the distinction between advanced and intermediate polyps. Accurate size measurement is crucial for appropriate colon polyp management.

Keywords:
Colonic polypComputed tomographic colonographyComputer-aided detectionObserver variationVirtual colonoscopy

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Area of Science:

  • Radiology
  • Gastroenterology
  • Medical Imaging

Background:

  • Advanced polyps (≥10 mm or with villous components/dysplasia) require excision.
  • Computed tomography colonography (CTC) can only reliably assess polyp size.
  • Distinguishing between intermediate (6-9 mm) and advanced (≥10 mm) polyps is critical for management decisions.

Purpose of the Study:

  • To evaluate interobserver reliability in measuring polyp size using CTC.
  • To compare radiologist measurements with computer-aided detection (CAD) software for polyp sizing.

Main Methods:

  • Four radiologists independently measured 26 polyps (reported 8-12 mm) using CTC.
  • Measurements were taken on axial, coronal, sagittal, and endoluminal views.
  • Radiologist measurements were compared to each other and to CAD software outputs.

Main Results:

  • Sagittal projection showed excellent interobserver reliability (ICC=0.80), superior to axial and coronal views.
  • Combining sagittal, axial, and coronal measurements yielded the best reliability (ICC=0.80).
  • Computer-aided detection (CAD) significantly overestimated polyp size compared to manual measurements (average difference 1.6 mm), altering polyp classification for 33% of cases.

Conclusions:

  • Interobserver variability in polyp size measurement exists, particularly around the 10 mm threshold.
  • Accurate size determination is challenging with CTC, impacting the classification of polyps as advanced or intermediate.
  • The findings highlight the need for standardized measurement techniques and further validation of CAD tools in polyp sizing.