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Related Concept Videos

Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer11:31

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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We describe a method for the detection of tumor nodule development in the lungs of an adenocarcinoma mouse model using micro-computed tomography and its use for monitoring changes in nodule size over time and in response to treatment. The accuracy of the assessment was confirmed with end-point histological...
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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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Here a protocol for continuous blood sampling during PET/CT imaging of rats to measure the arterial input function (AIF) is described. The catheterization, the calibration and setup of the system and the data analysis of the blood radioactivity are demonstrated. The generated data provide input parameters for subsequent bio-kinetic...
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Related Experiment Video

Updated: Jan 20, 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

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Interobserver size measurement variability in part-solid lung adenocarcinoma using pre-operative computed tomography.

Kazutoshi Hamanaka1, Hiroki Takayama1, Tsutomu Koyama1

  • 1Department of Thoracic Surgery, Shinshu University School of Medicine, Nagano, Japan.

Journal of Thoracic Disease
|August 30, 2019
PubMed
Summary

Inter-observer variability in measuring solid tumor size is greater than total size in lung adenocarcinoma. This is particularly challenging for early-stage lung cancers, impacting surgical decisions.

Keywords:
Inter-observer variabilityadenocarcinoma in situ (AIS)computed tomography (CT)lung adenocarcinoma

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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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Related Experiment Videos

Last Updated: Jan 20, 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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Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
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Published on: August 8, 2019

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Area of Science:

  • Pulmonology
  • Oncology
  • Radiology

Background:

  • Current lung cancer staging relies on solid tumor size, but measurement is difficult for part-solid nodules with ground-glass opacity (GGO).
  • This difficulty can increase inter-observer variability in tumor diameter measurements.
  • Investigating this variability is crucial for accurate lung cancer classification.

Purpose of the Study:

  • To assess inter-observer size measurement variability in lung adenocarcinoma.
  • To analyze variability based on specific tumor morphological characteristics.

Main Methods:

  • Five surgeons and one radiologist measured solid and total tumor sizes on pre-operative CT images of 47 patients.
  • Measurements were categorized into five groups based on tumor morphology (minimally invasive, peribronchovascular, etc.).
  • Inter-observer variability was quantified using the coefficient of variation (CV).

Main Results:

  • Mean inter-observer variability was 9.7 mm for solid size and 7.7 mm for total size.
  • The most experienced surgeon and radiologist tended to measure smaller sizes.
  • Group I (minimally invasive) showed the highest CV for solid size measurement variability.

Conclusions:

  • Solid tumor size measurement in lung adenocarcinoma exhibits greater inter-observer variability than total size.
  • High variability in minimally invasive types (Group I) highlights measurement challenges for early-stage cancers.
  • This inherent variability necessitates careful consideration during surgical planning for these nodules.