Label-free 3D NIR-SWIR “Spectromics” mapping of human hip cartilage for diagnosis of osteoarthritis
Label-free 3D NIR-SWIR “Spectromics” mapping of human hip cartilage for diagnosis of osteoarthritis
Osteoarthritis (OA), a degenerative joint disease presenting as loss of cartilage, is a leading cause of disability worldwide, increasingly with aging populations. Early detection is crucial for effective treatment since there is no definitive cure, yet, current assessment techniques fall short and rely on ionising radiation or invasive procedures. We report an application of multimodal “spectromics”, low-level abstraction data fusion of non-destructive NIR Raman and NIR-SWIR absorption spectroscopy, providing an enhanced, interpretable “fingerprint” for diagnosis of OA in human cartilage. Under multivariate statistical analyses and supervised machine learning, cartilage was classified with high precision and disease state predicted accurately. Discriminatory features within the spectromics fingerprint elucidated clinically relevant tissue components (OA biomarkers). Further, we have developed an automated goniometric 3D hyperspectral mapping setup, and characterised OA cartilage on whole human femoral heads post hip arthroplasty for spatially-resolved spectromics. These results lay foundation for minimally invasive, deeply penetrating, label-free, chemometric diagnosis of the hip.
Cook, Hiroki
52913239-643d-4ca5-bc0b-9479e133d53b
Crisford, Anna
135675e1-a172-4d93-989b-93d1efb022c3
Acharyya, Jitendra Nath
197b53b7-2921-4280-a14f-fb2c736dc502
Bourdakos, Konstantinos
83f6fc3a-db12-476b-9a78-4aad8756f82f
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Dunlop, Douglas
b7e6c01d-82bb-4d8b-976a-cc68b592e165
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
20 June 2024
Cook, Hiroki
52913239-643d-4ca5-bc0b-9479e133d53b
Crisford, Anna
135675e1-a172-4d93-989b-93d1efb022c3
Acharyya, Jitendra Nath
197b53b7-2921-4280-a14f-fb2c736dc502
Bourdakos, Konstantinos
83f6fc3a-db12-476b-9a78-4aad8756f82f
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Dunlop, Douglas
b7e6c01d-82bb-4d8b-976a-cc68b592e165
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
Cook, Hiroki, Crisford, Anna, Acharyya, Jitendra Nath, Bourdakos, Konstantinos, Kanczler, Janos, Dunlop, Douglas, Oreffo, Richard and Mahajan, Sumeet
(2024)
Label-free 3D NIR-SWIR “Spectromics” mapping of human hip cartilage for diagnosis of osteoarthritis.
Popp, Jurgen and Gergly, Csilla
(eds.)
In Proceedings of SPIE PC13006: Biomedical Spectroscopy, Microscopy, and Imaging III.
SPIE..
(doi:10.1117/12.3022003).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Osteoarthritis (OA), a degenerative joint disease presenting as loss of cartilage, is a leading cause of disability worldwide, increasingly with aging populations. Early detection is crucial for effective treatment since there is no definitive cure, yet, current assessment techniques fall short and rely on ionising radiation or invasive procedures. We report an application of multimodal “spectromics”, low-level abstraction data fusion of non-destructive NIR Raman and NIR-SWIR absorption spectroscopy, providing an enhanced, interpretable “fingerprint” for diagnosis of OA in human cartilage. Under multivariate statistical analyses and supervised machine learning, cartilage was classified with high precision and disease state predicted accurately. Discriminatory features within the spectromics fingerprint elucidated clinically relevant tissue components (OA biomarkers). Further, we have developed an automated goniometric 3D hyperspectral mapping setup, and characterised OA cartilage on whole human femoral heads post hip arthroplasty for spatially-resolved spectromics. These results lay foundation for minimally invasive, deeply penetrating, label-free, chemometric diagnosis of the hip.
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Published date: 20 June 2024
Venue - Dates:
SPIE Photonics Europe 2024, , Strasbourg, France, 2024-04-07 - 2024-04-11
Identifiers
Local EPrints ID: 501896
URI: http://eprints.soton.ac.uk/id/eprint/501896
PURE UUID: 47b2465d-5b5b-412f-8ec2-4a6558391680
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Date deposited: 11 Jun 2025 18:24
Last modified: 14 Jun 2025 02:30
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Contributors
Author:
Hiroki Cook
Author:
Jitendra Nath Acharyya
Author:
Konstantinos Bourdakos
Author:
Janos Kanczler
Author:
Douglas Dunlop
Editor:
Jurgen Popp
Editor:
Csilla Gergly
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