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Alunni Cardinali M, Govoni M, Tschon M, Brogini S, Vivarelli L, Morresi A, Fioretto D, Rocchi M, Stagni C, Fini M, Dallari D. Brillouin-Raman micro-spectroscopy and machine learning techniques to classify osteoarthritic lesions in the human articular cartilage. Sci Rep 2023; 13:1690. [PMID: 36717645 PMCID: PMC9886972 DOI: 10.1038/s41598-023-28735-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
In this study, Brillouin and Raman micro-Spectroscopy (BRamS) and Machine Learning were used to set-up a new diagnostic tool for Osteoarthritis (OA), potentially extendible to other musculoskeletal diseases. OA is a degenerative pathology, causing the onset of chronic pain due to cartilage disruption. Despite this, it is often diagnosed late and the radiological assessment during the routine examination may fail to recognize the threshold beyond which pharmacological treatment is no longer sufficient and prosthetic replacement is required. Here, femoral head resections of OA-affected patients were analyzed by BRamS, looking for distinctive mechanical and chemical markers of the progressive degeneration degree, and the result was compared to standard assignment via histological staining. The procedure was optimized for diagnostic prediction by using a machine learning algorithm and reducing the time required for measurements, paving the way for possible future in vivo characterization of the articular surface through endoscopic probes during arthroscopy.
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Affiliation(s)
- Martina Alunni Cardinali
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123, Perugia, Italy
| | - Marco Govoni
- Reconstructive Orthopaedic Surgery and Innovative Techniques-Musculoskeletal Tissue Bank, IRCCS Istituto Ortopedico Rizzoli, Via G.C. Pupilli 1, 40136, Bologna, Italy.
| | - Matilde Tschon
- Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, Via Di Barbiano 1/10, 40136, Bologna, Italy
| | - Silvia Brogini
- Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, Via Di Barbiano 1/10, 40136, Bologna, Italy
| | - Leonardo Vivarelli
- Reconstructive Orthopaedic Surgery and Innovative Techniques-Musculoskeletal Tissue Bank, IRCCS Istituto Ortopedico Rizzoli, Via G.C. Pupilli 1, 40136, Bologna, Italy
| | - Assunta Morresi
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123, Perugia, Italy
| | - Daniele Fioretto
- Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123, Perugia, Italy.,CEMIN-Center of Excellence for Innovative Nanostructured Material, 06123, Perugia, Italy
| | - Martina Rocchi
- Reconstructive Orthopaedic Surgery and Innovative Techniques-Musculoskeletal Tissue Bank, IRCCS Istituto Ortopedico Rizzoli, Via G.C. Pupilli 1, 40136, Bologna, Italy
| | - Cesare Stagni
- Reconstructive Orthopaedic Surgery and Innovative Techniques-Musculoskeletal Tissue Bank, IRCCS Istituto Ortopedico Rizzoli, Via G.C. Pupilli 1, 40136, Bologna, Italy
| | - Milena Fini
- Scientific Director, IRCCS Istituto Ortopedico Rizzoli, Via Di Barbiano 1/10, 40136, Bologna, Italy
| | - Dante Dallari
- Reconstructive Orthopaedic Surgery and Innovative Techniques-Musculoskeletal Tissue Bank, IRCCS Istituto Ortopedico Rizzoli, Via G.C. Pupilli 1, 40136, Bologna, Italy
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