Sinapsos Podcast | Oncology

E10   |  11 min   |   Latest   |  Publication Link

• Podcast based on: Masilamani, A.P.; Hooper, J.K.; Rahman, M.H.; Philip, R.; Kaushik, P.; Graham, G.; Yockell-Lelievre, H.; Khomami Abadi, M.; Meterissian, S.H. Breathprints for Breast Cancer: Evaluating a Non-Invasive Approach to BI-RADS 4 Risk Stratification in a Preliminary Study. Cancers 2026, 18, 226. https://doi.org/10.3390/cancers18020226
  Type: Article  |  Publication date: 11 January 2026
  
  
• Summary: Breast cancer screening often identifies findings that are suspicious but uncertain, especially those labeled as BI-RADS 4. While doctors usually recommend a biopsy for these cases, most turn out to be benign, meaning many women go through an invasive procedure unnecessarily. This study explored whether a simple breath test could help better identify high-risk patients. By analyzing patterns of natural chemicals in exhaled breath, we trained a computer model to distinguish between cancerous and non-cancerous findings. The model was able to correctly identify most cancers while also giving strong reassurance when no cancer was present. These results suggest that a breath test could be used alongside mammography to provide patients and doctors with clearer information. If confirmed in larger studies, this approach could spare many women from unnecessary biopsies, lower healthcare costs, and improve trust in breast cancer screening.
  
  
• Keywords: breast cancer; BI-RADS 4; breath analysis; volatile organic compounds (VOCs); digital olfaction (electronic nose); chemiresistive sensor array; machine learning; multi-modal fusion; autoencoder; risk stratification; rule-out diagnostics

License and disclaimer:
Original article © 2026 by the authors. Licensed under the Creative Commons Attribution 4.0 (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). This episode is an AI-generated audio adaptation of the article: the script and the voices are synthetic, changes were made, and the adaptation is not endorsed by the authors, the journal, or the publisher. It may contain errors or omissions, so consult the original publication before relying on any detail. It is for educational purposes only and is not medical advice. The creators accept no liability for any use of this content.