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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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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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Digital breast tomosynthesis and reading with artificial intelligence.

Stefanie Weigel1, Petra Wunderlich2, Alexander Sommer1

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Summary
This summary is machine-generated.

Digital breast tomosynthesis (DBT) improves early breast cancer detection over digital mammography (DM). Artificial intelligence (AI) further enhances DBT sensitivity and can reduce radiologist workload, though long-term effectiveness requires more study.

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Area of Science:

  • Radiology and Medical Imaging
  • Oncology
  • Artificial Intelligence in Healthcare

Background:

  • Digital breast tomosynthesis (DBT) offers improved sensitivity and specificity for early breast cancer detection compared to digital mammography (DM).
  • Artificial intelligence (AI) shows potential in mammographic interpretation, promising workload reduction for radiologists.

Purpose of the Study:

  • To review current evidence on the efficacy of DBT versus DM in population-based breast cancer screening.
  • To evaluate the supportive role of AI in mammographic interpretation within DBT screening programs.

Main Methods:

  • A narrative review of topic-led literature searches.
  • Inclusion of comparative studies of DBT and DM, and AI applications in mammography.
  • Literature search conducted on PubMed from January 2016 to September 2025.

Main Results:

  • DBT combined with DM or synthetic mammography (SM) significantly increased breast cancer detection rates compared to DM alone.
  • The TOSYMA study confirmed higher invasive breast cancer detection with DBT + SM versus DM, alongside a lower false-positive recall rate.
  • AI demonstrated higher sensitivity in DBT interpretation than human readers, with AI-assisted reading increasing detection rates in a prospective study.

Conclusions:

  • DBT enhances breast cancer detection and offers favorable process parameters compared to DM.
  • AI-assisted reading strategies can further improve sensitivity and reduce radiologist workload in mammography.
  • The long-term impact of DBT and AI on reducing interval cancer rates remains to be proven.