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Portrait of Nadia Chaudhry. Photo

Nadia Chaudhry

Doctoral student

Portrait of Nadia Chaudhry. Photo

Breast Cancer Diagnosis Using Extended-Wavelength–Diffuse Reflectance Spectroscopy (EW-DRS) : Proof of Concept in Ex Vivo Breast Specimens Using Machine Learning

Author

  • Nadia Chaudhry
  • John Albinsson
  • Magnus Cinthio
  • Stefan Kröll
  • Malin Malmsjö
  • Lisa Rydén
  • Rafi Sheikh
  • Nina Reistad
  • Sophia Zackrisson

Summary, in English

This study aims to investigate the feasibility of using diffuse reflectance spectroscopy (DRS) to distinguish malignant breast tissue from adjacent healthy tissue, and to evaluate if an extended-wavelength range (450–1550 nm) has an advantage over the standard wavelength range (450–900 nm). Multivariate statistics and machine learning algorithms, either linear discriminant analysis (LDA) or support vector machine (SVM) are used to distinguish the two tissue types in breast specimens (total or partial mastectomy) from 23 female patients with primary breast cancer. EW-DRS has a sensitivity of 94% and specificity of 91% as compared to a sensitivity of 40% and specificity of 71% using the standard wavelength range. The results suggest that DRS can discriminate between malignant and healthy breast tissue, with improved outcomes using an extended wavelength. It is also possible to construct a simple analytical model to improve the diagnostic performance of the DRS technique.

Department/s

  • LUCC: Lund University Cancer Centre
  • Radiology Diagnostics, Malmö
  • LU Profile Area: Light and Materials
  • LTH Profile Area: Photon Science and Technology
  • Ophthalmology Imaging Research Group
  • LTH Profile Area: Engineering Health
  • LTH Profile Area: Nanoscience and Semiconductor Technology
  • Atomic Physics
  • NanoLund: Centre for Nanoscience
  • Clinical and experimental lung transplantation
  • NPWT technology
  • The Liquid Biopsy and Tumor Progression in Breast Cancer
  • Breast Cancer Surgery
  • EpiHealth: Epidemiology for Health
  • Lund Laser Centre, LLC

Publishing year

2023

Language

English

Pages

1-12

Publication/Series

Diagnostics

Volume

13

Issue

19

Document type

Article

Publisher

MDPI AG

Topic

  • Cancer and Oncology
  • Medical Laboratory Technologies
  • Radiology and Medical Imaging

Keywords

  • breast cancer
  • diffuse reflectance spectroscopy
  • extended-wavelength–diffuse reflectance spectroscopy
  • linear discriminant analysis
  • machine learning
  • support vector machine
  • SDG 3 - Good Health and Well-being

Status

Published

Research group

  • Radiology Diagnostics, Malmö
  • Ophthalmology Imaging Research Group
  • Clinical and experimental lung transplantation
  • NPWT technology
  • The Liquid Biopsy and Tumor Progression in Breast Cancer
  • Breast Cancer Surgery

ISBN/ISSN/Other

  • ISSN: 2075-4418