An optical photothermal infrared investigation of lymph nodal metastases of oral squamous cell carcinoma.

Autor: Al Jedani S; Department of Physics, Oliver Lodge Laboratory, University of Liverpool, Liverpool, L69 7ZE, UK.; Department of Physics, University of Jeddah, Jeddah, Saudi Arabia., Lima C; Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK., Smith CI; Department of Physics, Oliver Lodge Laboratory, University of Liverpool, Liverpool, L69 7ZE, UK., Gunning PJ; Department of Molecular and Clinical Cancer Medicine, Liverpool Head and Neck Centre, University of Liverpool, Liverpool, L7 8TX, UK., Shaw RJ; Department of Molecular and Clinical Cancer Medicine, Liverpool Head and Neck Centre, University of Liverpool, Liverpool, L7 8TX, UK.; Head and Neck Surgery, Liverpool University Foundation NHS Trust, Aintree Hospital, Liverpool, L9 7AL, UK., Barrett SD; Department of Physics, Oliver Lodge Laboratory, University of Liverpool, Liverpool, L69 7ZE, UK., Triantafyllou A; Department of Cellular Pathology, Liverpool Clinical Laboratories, University of Liverpool, Liverpool, L7 8YE, UK., Risk JM; Department of Molecular and Clinical Cancer Medicine, Liverpool Head and Neck Centre, University of Liverpool, Liverpool, L7 8TX, UK., Goodacre R; Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK., Weightman P; Department of Physics, Oliver Lodge Laboratory, University of Liverpool, Liverpool, L69 7ZE, UK. peterw@liverpool.ac.uk.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Jul 11; Vol. 14 (1), pp. 16050. Date of Electronic Publication: 2024 Jul 11.
DOI: 10.1038/s41598-024-66977-z
Abstrakt: In this study, optical photothermal infrared (O-PTIR) spectroscopy combined with machine learning algorithms were used to evaluate 46 tissue cores of surgically resected cervical lymph nodes, some of which harboured oral squamous cell carcinoma nodal metastasis. The ratios obtained between O-PTIR chemical images at 1252 cm -1 and 1285 cm -1 were able to reveal morphological details from tissue samples that are comparable to the information achieved by a pathologist's interpretation of optical microscopy of haematoxylin and eosin (H&E) stained samples. Additionally, when used as input data for a hybrid convolutional neural network (CNN) and random forest (RF) analyses, these yielded sensitivities, specificities and precision of 98.6 ± 0.3%, 92 ± 4% and 94 ± 5%, respectively, and an area under receiver operator characteristic (AUC) of 94 ± 2%. Our findings show the potential of O-PTIR technology as a tool to study cancer on tissue samples.
(© 2024. The Author(s).)
Databáze: MEDLINE
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