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Universitetslektor

Breast Cancer Diagnosis Using Extended-Wavelength–Diffuse Reflectance Spectroscopy (EW-DRS) : Proof of Concept in Ex Vivo Breast Specimens Using Machine Learning
Författare
Summary, in Swedish
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.
Avdelning/ar
- LUCC: Lunds universitets cancercentrum
- Diagnostisk radiologi, Malmö
- LU profilområde: Ljus och material
- LTH profilområde: Avancerade ljuskällor
- Forskargruppen för oftalmologisk avbildning
- LTH profilområde: Teknik för hälsa
- LTH profilområde: Nanovetenskap och halvledarteknologi
- Atomfysik
- NanoLund: Centre for Nanoscience
- Klinisk och experimentell lungtransplantation
- NPWT teknologin
- The Liquid Biopsy och Tumörprogression i Bröstcancer
- Bröstcancerkirurgi
- EpiHealth: Epidemiology for Health
Publiceringsår
2023
Språk
Engelska
Sidor
1-12
Publikation/Tidskrift/Serie
Diagnostics
Volym
13
Issue
19
Dokumenttyp
Artikel i tidskrift
Förlag
MDPI AG
Ämne
- Cancer and Oncology
- Medical Laboratory and Measurements Technologies
- Radiology, Nuclear Medicine and Medical Imaging
Nyckelord
- breast cancer
- diffuse reflectance spectroscopy
- extended-wavelength–diffuse reflectance spectroscopy
- linear discriminant analysis
- machine learning
- support vector machine
Aktiv
Published
Forskningsgrupp
- 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/Övrigt
- ISSN: 2075-4418