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Histological Hyperspectral Breast Cancer Recurrence Database (HistologyHSI-BC Recurrence).

Laura Quintana-Quintana1, Esther Sauras-Colón2,3, Alessio Fiorin4,5,6

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|November 29, 2025
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Summary
This summary is machine-generated.

A new database integrates histology and hyperspectral imaging for breast cancer (BC) recurrence prediction. This resource aids in developing prognostic biomarkers for personalized treatment strategies.

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Area of Science:

  • Oncology
  • Medical Imaging
  • Biomedical Informatics

Background:

  • Metastasis in breast cancer (BC) significantly reduces survival rates, with distant recurrence being a major cause of mortality.
  • Current prognostic biomarkers are insufficient for accurately assessing the risk of distant recurrence in BC patients.
  • Multimodal data analysis offers a comprehensive approach to improve BC recurrence prediction.

Purpose of the Study:

  • To introduce the Histology HSI-BC (hyperspectral imaging - breast cancer) Recurrence Database, the first publicly accessible multimodal database for BC distant recurrence prediction.
  • To facilitate research into prognostic biomarkers for assessing distant recurrence risk in breast cancer.
  • To support the development of personalized treatment strategies for breast cancer patients.

Main Methods:

  • Compilation of a multimodal database including histopathological whole-slide images and hyperspectral (HS) images from 47 BC patients.
  • Acquisition of HS images using an HS camera coupled to a bright-field microscope.
  • Digitization and expert annotation of histopathological slides, alongside collection of clinical and demographic data.

Main Results:

  • The Histology HSI-BC Recurrence Database contains data from 47 BC patients, with 22 (47%) experiencing distant recurrence over a 12-year follow-up.
  • The database integrates diverse data types: 47 whole-slide images, 677 HS images, and clinical/demographic information.
  • This resource enables comprehensive analysis of factors contributing to BC distant recurrence.

Conclusions:

  • The Histology HSI-BC Recurrence Database is a valuable resource for advancing breast cancer recurrence prediction.
  • Integration of multimodal data, including hyperspectral imaging, holds promise for identifying novel prognostic biomarkers.
  • This database can accelerate research towards personalized medicine and improved treatment strategies for breast cancer.