Visible-short wavelength near infrared hyperspectral imaging coupled with multivariate curve resolution-alternating least squares for diagnosis of breast cancer.

Khazaei, Kazhal; Roshandel, Pegah; Parastar, Hadi

Khazaei, Kazhal; Roshandel, Pegah; Parastar, Hadi.

Afiliación

Khazaei K; Department of Chemistry, Sharif University of Technology, P.O. Box 11155-9516, Tehran, Iran.
Roshandel P; Department of Chemistry, Sharif University of Technology, P.O. Box 11155-9516, Tehran, Iran.
Parastar H; Department of Chemistry, Sharif University of Technology, P.O. Box 11155-9516, Tehran, Iran. Electronic address: h.parastar@sharif.edu.

Spectrochim Acta A Mol Biomol Spectrosc ; 324: 124966, 2025 Jan 05.

Article en En | MEDLINE | ID: mdl-39153346

ABSTRACT

ABSTRACT

This study investigates the application of visible-short wavelength near-infrared hyperspectral imaging (Vis-SWNIR HSI) in the wavelength range of 400-950 nm and advanced chemometric techniques for diagnosing breast cancer (BC). The research involved 56 ex-vivo samples encompassing both cancerous and non-cancerous breast tissue from females. First, HSI images were analyzed using multivariate curve resolution-alternating least squares (MCR-ALS) to exploit pure spatial and spectral profiles of active components. Then, the MCR-ALS resolved spatial profiles were arranged in a new data matrix for exploration and discrimination between benign and cancerous tissue samples using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The PLS-DA classification accuracy of 82.1 % showed the potential of HSI and chemometrics for non-invasive detection of BC. Additionally, the resolved spectral profiles by MCR-ALS can be used to track the changes in the breast tissue during cancer and treatment. It is concluded that the proposed strategy in this work can effectively differentiate between cancerous and non-cancerous breast tissue and pave the way for further studies and potential clinical implementation of this innovative approach, offering a promising avenue for improving early detection and treatment outcomes in BC patients.

Asunto(s)

Neoplasias de la Mama; Imágenes Hiperespectrales; Análisis de Componente Principal; Espectroscopía Infrarroja Corta; Humanos; Femenino; Neoplasias de la Mama/diagnóstico; Análisis de los Mínimos Cuadrados; Espectroscopía Infrarroja Corta/métodos; Imágenes Hiperespectrales/métodos; Análisis Multivariante; Análisis Discriminante

Palabras clave

Breast cancer; Chemometrics; Hyperspectral imaging; Multivariate curve resolution

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Espectroscopía Infrarroja Corta / Análisis de Componente Principal / Imágenes Hiperespectrales Límite: Female / Humans Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2025 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido

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