Double reading in breast cancer screening: considerations for policy-making.
Sian Taylor-PhillipsChris StintonPublished in: The British journal of radiology (2019)
In this article, we explore the evidence around the relative benefits and harms of breast cancer screening using a single radiologist to examine each female's mammograms for signs of cancer (single reading), or two radiologists (double reading). First, we briefly explore the historical evidence using film-screen mammography, before providing an in-depth description of evidence using digital mammography. We classify studies according to which exact version of double reading they use, because the evidence suggests that effectiveness of double reading is contingent on whether the two radiologists are blinded to one another's decisions, and how the decisions of the two radiologists are integrated. Finally, we explore the implications for future mammography, including using artificial intelligence as the second reader, and applications to more complex three-dimensional imaging techniques such as tomosynthesis.
Keyphrases
- artificial intelligence
- working memory
- machine learning
- big data
- deep learning
- contrast enhanced
- public health
- systematic review
- healthcare
- high resolution
- magnetic resonance imaging
- magnetic resonance
- high throughput
- clinical trial
- computed tomography
- single cell
- mass spectrometry
- optical coherence tomography
- study protocol
- photodynamic therapy
- room temperature
- case control
- reduced graphene oxide
- childhood cancer