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Related Concept Videos

Computed Tomography01:10

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.
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...
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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Related Experiment Video

Updated: Jun 19, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

3D radiomics profiling of thyroid tumors using micro-CT.

Kiarash Tajbakhsh1,2,3, Olga Stanowska3, Marija Buljan4,5

  • 1Center for X-ray Analytics, Swiss Federal Laboratories for Materials Science and Technology (Empa), Dübendorf, 8600, Switzerland.

Scientific Reports
|June 17, 2026
PubMed
Summary

Micro-CT imaging combined with radiomics offers a novel 3D approach for thyroid cancer diagnosis. This technique accurately classifies tumor types and BRAF V600E mutation status, aiding in treatment resistance assessment.

Keywords:
BRAF V600EMicro-CTRadiomicsTERTThyroid neoplasms

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Last Updated: Jun 19, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
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Published on: February 9, 2024

Area of Science:

  • Radiology
  • Pathology
  • Oncology

Background:

  • Tumor heterogeneity impacts cancer progression and treatment, often missed by 2D histology.
  • 3D assessment of tumor microarchitecture is crucial for understanding spatial complexity.
  • Micro-computed tomography (Micro-CT) offers high-resolution 3D virtual histology for soft tissues.

Purpose of the Study:

  • To evaluate the utility of Micro-CT radiomics for quantitative 3D characterization of thyroid tumors.
  • To assess the ability of Micro-CT radiomics to classify thyroid tissues and identify specific mutations.
  • To explore potential imaging biomarkers for TERT promoter mutations.

Main Methods:

  • Analysis of radiomics signatures from Micro-CT imaging of 418 thyroid tumor tissue microarrays.
  • Classification of neoplastic vs. non-neoplastic tissues, papillary vs. follicular thyroid neoplasms, and BRAF V600E mutation status.
  • Utilized Shapley additive explanations to identify key visual features driving classification and exploratory analysis for TERT mutations.

Main Results:

  • Achieved robust classification of neoplastic vs. non-neoplastic thyroid tissues.
  • Successfully differentiated between papillary thyroid carcinoma and follicular thyroid neoplasm.
  • Demonstrated accurate classification of BRAF V600E mutation status and identified potential radiomics patterns for TERT promoter mutations.

Conclusions:

  • Micro-CT radiomics shows promise as a complementary tool for thyroid cancer diagnostic classification.
  • This technique enables quantitative 3D tissue characterization beyond visual inspection.
  • Further validation is needed, but Micro-CT radiomics offers a promising platform for enhanced cancer diagnostics.