Raman spectroscopy and U-Net deep neural network in antiresorptive drug-related osteonecrosis of the jaw.

Autor: Matthies L; Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Gebrekidan MT; Institute of Thermal-, Environmental- and Resources' Process Engineering (ITUN), Technische Universität Bergakademie Freiberg (TUBAF), Freiberg, Germany., Braeuer AS; Institute of Thermal-, Environmental- and Resources' Process Engineering (ITUN), Technische Universität Bergakademie Freiberg (TUBAF), Freiberg, Germany., Friedrich RE; Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Stelzle F; Department of Oral and Maxillofacial Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Schmidt C; Division of Orthopedics, Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Smeets R; Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Division of 'Regenerative Orofacial Medicine', Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Assaf AT; Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Gosau M; Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Rolvien T; Division of Orthopedics, Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Knipfer C; Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jazyk: angličtina
Zdroj: Oral diseases [Oral Dis] 2024 May; Vol. 30 (4), pp. 2439-2452. Date of Electronic Publication: 2023 Aug 31.
DOI: 10.1111/odi.14721
Abstrakt: Objective: Application of an optical method for the identification of antiresorptive drug-related osteonecrosis of the jaw (ARONJ).
Methods: We introduce shifted-excitation Raman difference spectroscopy followed by U-Net deep neural network refinement to determine bone tissue viability. The obtained results are validated through established histological methods.
Results: Discrimination of osteonecrosis from physiological tissues was evaluated at 119 distinct measurement loci in 40 surgical specimens from 28 patients. Mean Raman spectra were refined from 11,900 raw spectra, and characteristic peaks were assigned to their respective molecular origin. Then, following principal component and linear discriminant analyses, osteonecrotic lesions were distinguished from physiological tissue entities, such as viable bone, with a sensitivity, specificity, and overall accuracy of 100%. Moreover, bone mineral content, quality, maturity, and crystallinity were quantified, revealing an increased mineral-to-matrix ratio and decreased carbonate-to-phosphate ratio in ARONJ lesions compared to physiological bone.
Conclusion: The results demonstrate feasibility with high classification accuracy in this collective. The differentiation was determined by the spectral features of the organic and mineral composition of bone. This merely optical, noninvasive technique is a promising candidate to ameliorate both the diagnosis and treatment of ARONJ in the future.
(© 2023 The Authors. Oral Diseases published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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