Related Experiment Video For Computed tomography
Updated: Jul 11, 2025

Utilizing High Resolution Ultrasound to Monitor Tumor Onset and Growth in Genetically Engineered Pancreatic Cancer Models
Published on: April 7, 2018
[Current CT developments in imaging of pancreatic diseases]
Matthias M Wöltjen1, Jan Robert Kröger2
1, Hans-Nolte-Str. 1, 32429, Minden, Deutschland. matthiasmichael.woeltjen@muehlenkreiskliniken.de.
Background:
Diseases of the pancreas are often diagnosed late and can have fatal consequences for patients.
Purpose:
Current computed tomography (CT) developments in imaging of pancreatic diseases.
Materials And Methods:
Evaluation of numerous studies, especially considering modern CT techniques such as dual-energy CT and photon-counting CT but also artificial intelligence (AI) algorithms for disease detection.
Results:
Spectral imaging using dual-energy CT and photon-counting CT offers numerous advantages in the detection of pancreatic disease and can thus improve diagnostic performance but also provide additional information on any therapeutic response. Likewise, advances in the development of AI algorithms are improving diagnostic performance.
Conclusion:
In the future, we can expect increasingly improved detection of pancreatic diseases, thereby enabling patients to be treated more quickly, which will consequently result in improved outcomes.
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07:12Author Spotlight: Revolutionizing Pancreatic Disease Understanding Through Advanced Intravital Imaging
Published on: October 6, 2023
06:52Stabilized Longitudinal In Vivo Cellular-Level Visualization of the Pancreas in a Murine Model with a Pancreatic Intravital Imaging Window
Published on: May 6, 2021
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