Preliminary Assessment of In Vivo Raman Spectroscopy Technique for Bone Quality Evaluation of Augmented Maxillary Sinus Floor.
Eduard GatinPal NagyStefan Marian IordacheAna-Maria IordacheCatalin-Romeo LuculescuValeriy GrygorovskyyPublished in: International journal of environmental research and public health (2023)
(1) Background: In oral surgery, bone regeneration is achieved through various types of bone grafts or bone substitutes and its success is usually analyzed by micro-computed tomography and histomorphometry. The aim of this study was to evaluate the usefulness of Raman spectroscopy as an alternative to other techniques for bone quality evaluation during a standard oral surgery procedure. (2) Methods: The preliminary evaluation of bone augmentation during maxillary sinus floor elevation oral surgery was performed by Raman spectroscopy for several (five) patients during and after the surgery and the results were compared with postoperative data from histomorphometry, EDX and SEM analysis. (3) Results: After analyzing all the results for the bone samples according to the four methods (Raman, EDX, SEM and Histology) that were used in our study, the obtained result of the investigation provided a good augmentation process for three of the patients and partly successful augmentation process for two of the patients. The primary evaluation using Raman spectroscopy (in vivo and ex vivo investigation) was confirmed by histological results, thus having a first step for validation of Raman as a new method of imaging for dentistry. (4) Conclusions: Our results show that Raman spectroscopy could provide fast and reliable insight on bone condition during augmentation of the maxillary sinus floor. We emphasize the advantages and drawbacks of the proposed techniques as its accuracy could increase by performing larger size clinical trials. Using the Raman mapping, the method can serve as an alternative to histology.
Keyphrases
- raman spectroscopy
- bone regeneration
- end stage renal disease
- soft tissue
- bone mineral density
- minimally invasive
- chronic kidney disease
- computed tomography
- ejection fraction
- coronary artery bypass
- clinical trial
- newly diagnosed
- bone loss
- prognostic factors
- magnetic resonance imaging
- postmenopausal women
- surgical site infection
- coronary artery disease
- machine learning
- mass spectrometry
- open label
- artificial intelligence
- patient reported outcomes
- percutaneous coronary intervention