Introduction
Periodontitis is a multifactorial continual infectious illness that targets the tissues supporting the enamel.1 It’s attributable to the buildup and aggressiveness of oral pathogenic micro organism of the dental subgingival biofilm that decide a continual irritation of the supporting buildings of the enamel.2 Periodontitis is characterised by pocket formation with scientific attachment lack of the junctional epithelium, and if left untreated, eventual tooth loss.1,2 Sure systemic circumstances act as danger elements for periodontitis, together with coronary coronary heart illness, atherosclerosis, being pregnant outcomes, however different problems, comparable to diabetes mellitus, have been proven to share a bidirectional affect with periodontal illness,2 whereas the doable affect of non-alcoholic fatty liver illness (NAFLD) on periodontal irritation continues to be fairly little studied.3
NAFLD is a continual and progressive liver illness, characterised by a excessive accumulation of lipids within the liver, affecting people no matter alcohol consumption, weight problems being thought of an essential danger issue.4 NAFLD will also be correlated with excessive ranges of glycated haemoglobin-A1c (HbA1c) resulting from insulin resistance that characterizes this illness, consequently resulting in kind 2 diabetes,5 subsequently not too long ago researchers proposed to alter the nomenclature from NAFLD to metabolic related fatty liver illness (MAFLD).6 Clinically, NAFLD is commonly asymptomatic and linked to the alteration of lipid and lipoprotein metabolism, insulin resistance, subsequently being related to the metabolic syndrome.5
NAFLD may be categorized into easy steatosis, that presents no vital irritation and fibrosis, and non-alcoholic steatohepatitis (NASH), characterised by steatosis with hepatic irritation and, ceaselessly, with progressive fibrosis, finally resulting in liver cirrhosis.4,7 From an epidemiological viewpoint, 30% of the inhabitants within the Western nations is affected by NAFLD.8 Non-alcoholic fatty liver illness may be marked by elevated serum ranges of LDL ldl cholesterol, triglyceride and hepatic transaminases serum aspartate transaminase (AST) and serum alanine transaminase (ALT),9 and high-density lipoprotein HDL levels of cholesterol,10 that signify danger elements for heart problems (CVD).11,12 In lots of instances the ALT ranges may be regular,13 and LDL degree barely elevated, making these parameters, in some instances, not related. Subsequently, ultrasonography is probably the most helpful diagnostic device that determines the presence of NAFLD in asymptomatic sufferers.8
Optical coherence tomography (OCT) is a non-invasive diagnostic approach that gives optical cross-sectional photos of organic tissues,14 and detects mechanical interfaces, counting on the variations in mild reflection.15 Optical coherence tomography (OCT), which was first launched by Huang et al, relies on low coherence interferometry ensuing right into a two-dimensional picture of the studied tissue pattern.16 Optical coherence tomography (OCT) has a penetration depth of two–3 mm throughout the studied tissue, relying on the construction being penetrable by mild.16
The necessity for non-invasive and extra exact analysis instruments decided researchers to contemplate OCT an modern imaging technique, getting used for medical functions, comparable to ophthalmology,17 dermatology,18 cardiology,19 gastroenterology.20 In comparison with classical radiology, OCT has essential advantages, being appropriate for the evaluation of each smooth and exhausting tissues. As a result of it makes use of near-infrared mild, it doesn’t produce any radiation that may be dangerous to the affected person, such because the case of cone beam computed tomography (CBCT).21
In dental drugs, OCT has confirmed beneficial contributions, getting used for experimental functions in several dental specialities.22 OCT may have functions in prosthetic dentistry, had been it may assist the preparation strategy of abutment enamel, by enhancing dentine and enamel thickness evaluation.23 In odontology, OCT evaluation can be utilized for tooth crack’s detection and evaluation of dental fillings’ marginal adaptation.24 The OCT will also be used for a greater visualization of the endodontic space of the tooth and likewise for the detection of inter-dental carious lesions.25 In periodontology, probably the most research use OCT for the ex vivo examination of periodontium however, latest ones attempt to validate in vivo OCT. It was used to visualise the subgingival calculus and measure the depth of gingival sulcus or periodontal pockets or the consider the microvascularization within the infected gingival tissue. OCT has a robust potential to show and assess dental plaque and gingiva in a scientific setting. Technological challenges stay to carry out systematic longitudinal monitoring and comparative analyses.26–29
The aim of this ex vivo research is as an example the modifications that happen throughout the gingival tissue, by utilizing OCT, permitting to find out the pixel density of the obtained cross-sectional photos. Based mostly on the speculation {that a} decrease pixel density might be related to the next diploma of irritation,30 we aimed to focus on the doable affect that NAFLD may have on the native inflammatory gingival modifications in sufferers that suffer from these two circumstances.
Supplies and Strategies
Affected person Choice
The themes included within the research had been chosen from the sufferers who addressed the Periodontology and Oral Surgical procedure Departments of the College of Drugs and Pharmacy of Craiova, Romania. For the research, the Ethics Committee approval of the College of Drugs and Pharmacy of Craiova was obtained, registered with code quantity 49/20.04.2018, in addition to the written consent from all of the taking part sufferers. All individuals had been knowledgeable concerning the objective of the research and that it was performed in accordance with the Declaration of Helsinki.
The analysis of the sufferers who reported having NAFLD was confirmed within the Gastroenterology Clinic of the College of Drugs and Pharmacy of Craiova, Romania. Ultrasonography was required for all topics included within the research.
All periodontal sufferers included within the research, had at the very least one tooth within the lateral premolar-molar space with a periodontal pocket > 5mm, thus providing the potential of standardized gingival tissue sampling at this degree, throughout routine periodontal surgical remedy. They’d been identified with periodontitis31 within the Periodontology Division, adopted by the preliminary periodontal remedy, and, after the reevaluation, they underwent the surgical periodontal section. All sufferers had been periodontal examined by the identical specialised practitioner with a purpose to eradicate the person variability.
To conduct this research, plenty of 38 sufferers had been chosen, aged 36–58 years, 16 males and 22 females, 24 of them had indication for periodontal surgical therapy, after present process periodontal preliminary instrumentation, from the Periodontology Division, divided into: group P=12 sufferers with periodontal illness, group P+NAFLD=12 sufferers with periodontal illness and non-alcoholic fatty liver illness, as check teams and 14 wholesome sufferers with out periodontal or systemic illnesses who had carried out extractions for orthodontic objective on the Oral Surgical procedure Clinic as management group H (Table 1).
![]() |
Desk 1 Age and Gender of Sufferers in Every Group |
Gingival Tissue Sampling
The gingival tissue samples had been collected from the gingival wall of the periodontal pocket, throughout periodontal surgical procedure as a part of the routine periodontal therapy after present process periodontal preliminary instrumentation, with a purpose to eradicate the periodontal pockets detected on the reevaluation (pockets > 5mm), carried out on the sufferers from teams P and P+NAFLD that suffered from periodontal illness. Within the management group the samples had been collected from the marginal gingiva of the enamel having no periodontal modifications that underwent extraction for orthodontic functions. The gingival samples had been sectioned to a dimension of three×3 mm, then positioned in 10% formalin answer and refrigerated at 8°C, till the time of examination.
OCT Evaluation
For picture acquirement, an OCT OCS 1300SS system (Thorlabs, USA) was used, with set-up and traits beforehand described.30 The system offers in air axial resolutions of 12 μm and lateral decision of 15 μm. The OCT investigation of the periodontal tissue was performed as beforehand described by the identical researchers,27 by sampling 512 sections, within the type of JPEG photos. Photos had been scanned within the following dimension: 2 mm x 2 mm x 2 mm (size x width x depth) and (1024x512x512) pixels, and based on Fernandes et al had been calibrated utilizing a refractive index of 1.41.32 All the opposite parameters of the OCT investigation had been saved fixed for every measurement. The evaluation of those photos was finished by utilizing a picture processing software program ImageJ free license by Nationwide Institute of Well being, USA. For the pixel density evaluation, 5 consecutive photos had been chosen for every pattern from the entire of 512 photos, together with the median picture (256), two earlier photos (254, 255) and two subsequent ones (257, 258), and the density was analyzed from the viewpoint of each pixels numbers and gray-scale values.
A measuring section as a linear form was positioned perpendicular to the centre of every picture, from the higher fringe of the gingival epithelium and right down to the decrease fringe of the connective tissue, and thus it was doable to measure the depth of the pixels on the gray-scale (Figure 1). The size of the measuring section was set to 0.75 mm, with a purpose to cowl the vertical dimension of the assessed tissues of the gingival pattern. For standardization causes, the identical section size was utilized on all photos.
![]() |
Determine 1 OCT cross-sectional picture pattern with linear form measuring section. |
The usage of the ImageJ program resulted in a variety of values, representing the intensities in gray-scale of the pixels, which included each the variety of pixels current in every analyzed space, in addition to the size and space occupied by the measurement section, which had been then saved in Microsoft Excel format. The pixel density (D) for every picture was calculated by the formulation:
I x 100/255 = D (I–depth in measured grey tones). For every research group, the common values had been calculated.
The research additionally included a qualitative evaluation of the generated OCT photos, with a purpose to detect modifications in facet or form, that may have occurred throughout the gingival epithelium or underlying connective tissue. The qualitative commentary was primarily centered alongside the epithelial-connective tissue junction and on the form of the connective tissue cristas, projecting into the gingival epithelium.
Statistical Evaluation
So as to evaluate the obtained knowledge, the t-Pupil check was used for the three research teams, and the statistical significance threshold having set the worth p ˂ 0.05. Statistical correlation check
Pearson was carried out for the age and pixel density parameters of the research teams, because of the small variety of sufferers included within the research, it was not doable to make correlations based on gender.
Outcomes
From the evaluation of the photographs utilizing the ImageJ software program, it was noticed that the photographs in group H offered the best common density worth in pixels, adopted by these in group P after which group P+NAFLD, thus registering a big distinction between the common values of the densities of pixels between the three teams (p <0.05), in addition to between teams P and P+NAFLD (p <0.05) (Tables 1 and 2).
![]() |
Desk 2 Common Pixel Density for Every Examine Group |
After the qualitative evaluation of the photographs obtained by scanning the samples with the assistance of OCT, a very good illustration of the conjunctive digitations and an apparent demarcation space between the connective tissue and the gingival epithelium was revealed within the H group, whereas in these from teams P and P+NAFLD, a wiped facet of the conjunctive digitations and a blurred boundary between the connective tissue and the gingival epithelium had been noticed (Figure 2).
![]() |
Determine 2 OCT cross-sectional picture of gingival tissue from affected person with periodontitis and NAFLD. Ulcerative lesions of the gingival epithelium (see arrows). |
Dialogue
The largely used device that helps to diagnose and consider NAFLD is ultrasonography which is an environment friendly and non-invasive approach, having a excessive accuracy,33 probably the most used on this instances being the standard B-mode ultrasonography.34 The ultrasound parameters aimed for NAFLD analysis embody hepatomegaly, parenchymal brightness, and deep beam attenuation and liver-to-kidney distinction shiny vessel partitions.35 So as to higher diagnose NAFLD, J. Moon et al assessed the LDs dynamic and cellular- and subcellular-level accumulation in hepatocytes, related to the development of hepatic steatosis, in an in vivo research performed on mice, by utilizing fluorophore SF44 and a custom-built video-rate laser scanning con-focal intra-vital microscopy system.36
For the analysis of periodontal illness, the ceaselessly used investigations are periodontal probing, for periodontal pocket depth and lack of scientific attachment degree evaluation, along with the radiological examination. As a result of it’s a non-invasive technique, the OCT evaluation technique may appeal to growing curiosity for evaluating the depth of the periodontal pockets and the lack of scientific attachment degree (CAL), by utilizing the obtained axial resolutions.37 The information obtained with in vitro OCT evaluation technique, can signify a reference for future equipment of the in vivo approach. Xiang et al confirmed in a earlier research that OCT can also be used to find out calculus deposition, making it simpler to take away it and enhancing the effectivity of the periodontal therapy.1 A latest research additionally decided that by making the OCT devices extra ergonomic, the in vivo applicability of this method might be improved,31 facilitating diagnose and willpower of the development of the periodontal illness.21 Because of the evolution achieved within the latest years by OCT, this technique, by utilizing photonics, might also be thought of, a sixth technology periodontal probe.14
The ex vivo evaluation of the gingival tissue, with a purpose to decide its density with the assistance of OCT within the instances of periodontal irritation and to focus on the modifications produced at this degree, by utilizing the density evaluation in pixels, has been carried out in periodontal sufferers related to different systemic illnesses, comparable to diabetes mellitus and continual hepatitis C.30 The bottom pixel density was recorded in sufferers with diabetes mellitus, adopted by these in periodontal sufferers with hepatitis C. The outcomes of our research delivered larger pixel densities in periodontal sufferers with NAFLD than in periodontal sufferers with diabetes mellitus or continual hepatitis C from earlier research, however decrease values than in systemically wholesome periodontal sufferers. This implies that the native impression of NAFLD on periodontal irritation is critical, however not as extreme as that of diabetes mellitus or continual hepatitis C30.
Within the Nineteen Sixties, Gargiulo et al decided the size for the dentogingival interface, on post-mortem topics, utilizing histological measurements for supracrestal connective tissue, junctional and sulcular epithelium.38 Extra not too long ago, Tristão et al obtained histological measurements for supracrestal gingival tissue by analyzing the gingival tissues collected after tooth extraction.39
Fashionable technological developments have proven that OCT is a helpful and non-invasive device for the analysis of oral epithelial thickness of a number of websites throughout the oral cavity, in in vivo and real-time settings.40 So as to obtain an elevated accuracy of oral mucosal analysis completely different different strategies was proposed41 as for the gingival tissue quantity, Wang et al, analyzed the gingival common thickness utilizing a 3D OCT picture evaluation and utilized a semi-automated registration and segmentation technique.42
Throughout periodontal irritation, histological modifications may be noticed throughout the gingival epithelium, comparable to the looks of leukocyte infiltrate, inflammatory oedema, vacuolar degeneration with the formation of vesicles, resulting in necrosis of the gingival epithelium and, lastly, to ulceration at this degree (Figure 2).43 This histopathological inflammatory modifications result in a lower in tissue density, as proven by OCT evaluation carried out on gingival tissue samples originating from periodontal sufferers. This lower in tissue density, as proven by OCT evaluation, is extra vital when the periodontal sufferers additionally undergo from systemic circumstances comparable to diabetes mellitus.30 Our outcomes are much like this discovering, suggesting an affiliation between tissue pixel density and the diploma of periodontal irritation.
The connective tissue bodily and nutritionally helps the epithelial tissues. The connective tissue papillae (rete pegs) enable optimum dietary exchanges between them, though variations of the tissue morphology could exist, relying on the age and gender of people, and likewise relying on the area of the oral cavity.43 Rete pegs are largely ceaselessly discovered throughout the gingival epithelium and its connective tissue (119 ± 27 rete pegs per mms).44 The development of periodontal irritation throughout the depth of the marginal gingiva results in the deletion of the epithelial-connective tissue delimitation, thus inflicting disruptions to the basal lamina.45,46 Our qualitative evaluation of the OCT photos revealed a wiped look of the connective digitations and a blurred boundary between the 2 sorts of tissue, which was largely evident in NAFLD affected sufferers of the P+NAFLD group (Figure 2). To forestall OCT evaluation outputs alterations, the collected samples of gingival tissue from the lateral molar-premolar space (to keep away from vital variations in its thickness) had been positioned in formalin answer, being saved at +8OC.47
The photographs of the gingival samples, obtained by OCT evaluation, revealed that the pixel density of the epithelium and the connective tissue was decrease in group P samples as in comparison with these of group H. This reality may be defined by the prevailing continual periodontal irritation within the P group sufferers. As well as, it was noticed that the samples originating from the group P+NAFLD sufferers expressed a decrease pixel density than those of the P and H teams. The truth that the samples from the group P+NAFLD exhibited a decrease common pixel density in comparison with these from group P may be interpreted that NAFLD may improve the native periodontal inflammatory response (Table 2).
Concerning the age implications, our outcomes reveal that the age is larger within the P+NAFLD group and statistically vital completely different from H and P teams (Table 1), consistent with different findings that present the prevalence of NAFLD is larger within the aged.48
The robust and inverse correlation between the age and pixel density related to the diploma of irritation in P+NAFLD sufferers, whereas in group P the correlation was reasonable, suggests the involvement of NAFLD in exacerbating the native inflammatory response with growing age.
No statistical evaluation relating to the sufferers gender, was made in our research, because of the small variety of sufferers. The findings obtained by different research revealed that the prevalence of
NAFLD in girls will increase with age, however doesn’t alter with age in males, growing older being thought of as a danger issue for NAFLD in premenopausal girls, unbiased of weight achieve or affect of metabolic syndrome, so female-sex being now not protecting with growing age.48,49
Nonetheless, the research was restricted within the variety of taking part sufferers, the aim was to attract consideration to the doable affect of NAFLD on the periodontal irritation. The information obtained motivated to increase the research on this topic in vue to grasp the linking pathway,50 making doable not solely the therapy however the prevention of periodontal scientific modifications in sufferers affected by each illnesses, enhancing the standard of life of those sufferers.
Conclusion
Inside the limitation of this research, given the small variety of sufferers, analysing the photographs obtained by OCT approach, we may conclude that the non-alcoholic fatty liver illness could have a detrimental impact of aggravating the native periodontal inflammatory response in sufferers with periodontal illness, by growing the irritation of the gingival tissues.
Acknowledgments
A.C.D., L.L. and G.N.D equally contributed with the primary writer.
Funding
This analysis acquired no exterior funding.
Disclosure
The authors declared no conflicts of curiosity for this work.
References
1. Xiang X, Sowa MG, Iacopino AM, et al. An replace on novel non-invasive approaches for periodontal analysis. J Periodontol. 2010;81:186–198. doi:10.1902/jop.2009.090419
2. Newman MG, Takei H, Klokkevold PR, Carranza FA. Chapter 12: Influence of Periodontal An infection of Systemic Well being. In Newman and Carranza’s Medical Periodontology.
3. Akinkugbe AA, Slade GD, Barritt AS. Periodontitis and Non-alcoholic Fatty Liver Illness, a population-based cohort investigation within the Examine of Well being in Pomerania. J Clin Periodontol. 2017;44(11):1077–1087. doi:10.1111/jcpe.12800
4. Lazo M, Clark JM. The epidemiology of nonalcoholic fatty liver dis-ease: a world perspective. Semin Liver Dis. 2008;28:339–350. doi:10.1055/s-0028-1091978
5. Byrne CD, Targher G. NAFLD: a multisystem illness. J Hepatol. 2015;62(1):S47–S64. doi:10.1016/j.jhep.2014.12.012
6. Eslam M, Sanyal AJ, George J. Worldwide Consensus Panel. MAFLD: a consensus-driven proposed nomenclature for metabolic related fatty liver illness. Gastroenterology. 2020;158(7):1999–2014.e1. doi:10.1053/j.gastro.2019.11.312
7. Stojsavljević S, Palčić MG, Jukić LV, Duvnjak LS, Duvnjak M. Adipokines and proinflammatory cytokines, the keymediators within the pathogenesis of nonalcoholic fatty liver illness. World J Gastroenterol. 2014;20(48):18070–18091. doi:10.3748/wjg.v20.i48.18070
8. Hyysalo J, Mannisto VT, Zhou Y, et al. A population-based research on the prevalence of NASH utilizing scores validated towards liver histology. J Hepatol. 2014;60:839–846. doi:10.1016/j.jhep.2013.12.009
9. Chen CH, Huang MH, Yang JC, et al. Prevalence and etiology of elevated serum alanine aminotransferase degree in an grownup inhabitants in Taiwan. J Gastroenterol Hepatol. 2007;22:1482–1489. doi:10.1111/j.1440-1746.2006.04615.x
10. Fon Tacer Ok, Rozman D. Nonalcoholic fatty liver illness: give attention to lipoprotein and lipid deregulation. J Lipids. 2011;2090–3030. doi:10.1155/2011/783976
11. Treeprasertsuk S, Leverage S, Adams LA, Lindor KD, St Sauver J, Angulo P. The Framingham danger rating and coronary heart illness in nonalcoholic fatty liver illness. Liver Int. 2012;32(6):945–950. doi:10.1111/j.1478-3231.2011.02753.x
12. Chalasani N, Younossi Z, Lavine JE, et al. The analysis and administration of non-alcoholic fatty liver illness: observe guideline by the American gastroenterological affiliation, American affiliation for the research of liver illnesses, and American faculty of gastroenterology. Gastroenterology Hepatol. 2012;55(6):2005–2023. doi:10.1002/hep.25762
13. Tarantino G, Finelli C. What about nonalcoholic fatty liver illness as a brand new criterion to outline metabolic syndrome? World J Gastroenterol. 2013;19(22):3375–3384. doi:10.3748/wjg.v19.i22.3375
14. Kakizaki S, Aoki A, Tsubokawa M, et al. Remark and willpower of periodontal tissue profile utilizing optical coherence tomography. J Periodontal Res. 2018;53(2):188–199. doi:10.1111/jre.12506
15. Park J-Y, Chung J-H, Lee J-S, Kim H-J, Choi S-H, Jung U-W. Comparisons of the diagnostic accuracies of optical coherence tomography, micro-computed tomography, and histology in periodontal illness: an ex vivo research. J Periodontal Implant Sci. 2017;47(1):30–40. doi:10.5051/jpis.2017.47.1.30
16. Huang D, Swanson EA, Lin CP, et al. Optical coherence tomography. Science. 1991;254(5035):1178–1181. doi:10.1126/science.1957169
17. Nolan RC, Narayana Ok, Galetta SL, Balcer LJ. Optical coherence tomography for the neurologist. Semin Neurol. 2015;35(5):564–577. doi:10.1055/s-0035-1563579
18. Olsen J, Themstrup L, Jemec GB. Optical coherence tomography in dermatology. G Ital Dermatol Venereol. 2015;150(5):603–615.
19. Nadkarni SK. Optical measurement of arterial mechanical properties: from atherosclerotic plaque initiation to rupture. J Biomed Choose. 2013;18(12):121507. doi:10.1117/1.JBO.18.12.121507
20. Yachimski P, Shi C, Slaughter JC, Washington MK. Endoscopic mucosal resection of Barrett’s esophagus detects excessive prevalence of sub squamous intestinal metaplasia. World J Gastrointest Endosc. 2013;5:590–594. doi:10.4253/wjge.v5.i12.590
21. Park JY, Chung JH, Lee JS, Kim HJ, Choi SH, Jung UW. Comparisons of the diagnostic accuracies of optical coherence tomography, microcomputed tomography, and histology in periodontal illness: an ex vivo research. J Periodontal Implant Sci. 2017;47(1):30–40. doi:10.5051/jpis.2017.47.1.30
22. Hsieh YS, Ho YC, Lee SY, et al. Dental optical coherence tomography. Sensors. 2013;13(7):8928–8949. doi:10.3390/s130708928
23. Fujita R, Komada W, Nozaki Ok, Miura H. Measurement of the remaining dentin thickness utilizing optical coherence tomography for crown preparation. Dent Mater J. 2014;33(3):355–362. doi:10.4012/dmj.2013-303
24. Kim JM, Kang SR, Yi WJ. Computerized detection of tooth cracks in optical coherence tomography photos. J Periodont Implant Sci. 2017;47(1):41–50. doi:10.5051/jpis.2017.47.1.41
25. Shimada Y, Nakagawa H, Sadr A, et al. Noninvasive cross-sectional imaging of proximal caries utilizing swept-source optical coherence tomography (SS-OCT) in vivo. J.Biophotonics. 2014;7(7):506–513. doi:10.1002/jbio.201200210
26. Mota CC, Fernandes LO, Cimões R, Gomes AS. Non-Invasive Periodontal Probing By Fourier-Area Optical Coherence Tomography. J Periodontol. 2015;86(9):1087–1094. doi:10.1902/jop.2015.150047
27. Yeragi E, Nalawade KP, Gotmare S, Yeragi P, Prabhu V. Technology Periodontal Probe??? A Evaluate. IOSR-JDMS. 2019;18(8):5.
28. Le NM, Track S, Zhou H, et al. A noninvasive imaging and measurement utilizing optical coherence tomography angiography for the evaluation of gingiva: an in vivo research. J Biophotonics. 2018;11:e201800242. doi:10.1002/jbio.201800242
29. Gained J, Darold R. Boppart Handheld optical coherence tomography for scientific evaluation of dental plaque and gingiva. J Biomed Choose. 2020;25(11):116011. doi:10.1117/1.JBO.25.11.116011
30. Șurlin P, Camen A, Stratul SI, et al. Optical coherence tomography evaluation of gingival epithelium inflammatory standing in periodontal – Systemic affected sufferers. Ann Anat. 2018;219:51–56. doi:10.1016/j.aanat.2018.04.010
31. Armitage GC. Improvement of a classification system for periodontal illnesses and circumstances. Ann Periodontol. 1999;4:1–6. doi:10.1902/annals.1999.4.1.1
32. Fernandes LO, Mota CCBO, de Melo LSA, da Costa Soares MUS, da Silva Feitosa D, Gomes ASL. In vivo evaluation of periodontal buildings and measurement of gingival sulcus with optical coherence tomography: a pilot research. J Biophotonics. 2017;10(6–7):862–869. doi:10.1002/jbio.201600082
33. Hernaez R, Lazo M, Bonekamp S, et al. Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: a meta-analysis. Hepatol. 2011;54(3):1082–1090. doi:10.1002/hep.24452
34. Adams LA, Talwalkar JA. Diagnostic analysis of nonalcoholic fatty liver illness. J Clin Gastroenterol. 2006;40(1):34–38. doi:10.1097/01.mcg.0000168642.38945.f1
35. Dasarathy S, Dasarathy J, Khiyami A, Joseph R, Lopez R, McCullough AJ. Validity of actual time ultrasound within the analysis of hepatic steatosis: a potential research. J Hepatol. 2009;51(6):1061–1067. doi:10.1016/j.jhep.2009.09.001
36. Moon J, Kong E, Lee J, et al. Intravital longitudinal imaging of hepatic lipid droplet accumulation in a murine mannequin for nonalcoholic fatty liver illness. Biomed Choose Categorical. 2020;11(9):5132–5146. doi:10.1364/BOE.395890
37. Kim S-H, Kang S-R, Park H-J, Kim J-M, Yi W-J, Kim TI. Improved accuracy in periodontal pocket depth measurement utilizing optical coherence tomography. J Periodontal Implant Sci. 2017;47(1):13–19. doi:10.5051/jpis.2017.47.1.13
38. Gargiulo AW, Wentz FM, Orban B. Dimension and relation of the Dentogingival Junction in People. J Periodontol. 1961;32(3):261–267. doi:10.1902/jop.1961.32.3.261
39. Tristão GC. Supracrestal gingival tissue measurement in regular periodontium: a human histometric research. Int J Periodontics Dent. 2014;34(1):97–102. doi:10.11607/prd.1353
40. Stasio DD, Lauritano D, Iquebal H, Romano A, Gentile E, Lucchese A. Measurement of Oral Epithelial Thickness by Optical Coherence Tomography. Diagnostics. 2019;9(3):90. doi:10.3390/diagnostics9030090
41. Cicciù M, Herford AS, Cervino G, Troiano G, Lauritano F, Laino L. Tissue Fluorescence Imaging (VELscope) for Fast Non-Invasive Analysis in Oral Pathology. J Craniofac Surg. 2017;28(2):e112–e115. doi:10.1097/SCS.0000000000003210
42. Wang G, Le NM, Hu X, et al. Semi-automated registration and segmentation for gingival tissue quantity measurement on 3D OCT photos. Biomed Choose Categorical. 2020;11(8):4536–4547. doi:10.1364/BOE.396599
43. Newman MG, Takei H, Klokkevold PR, Carranza FA. Chapter 14: Gingival Irritation,” in Newman and Carranza’s Medical Periodontology.
44. Paulsen F, Thale A. Epithelial-connective tissue boundary within the oral a part of the human taste bud. J Anat. 1998;193(3):457–467. doi:10.1046/j.1469-7580.1998.19330457.x
45. Klein-Szanto AJ, Schroeder HE. Structure and density of the connective tissue papillae of the human oral mucosa. J Anat. 1997;123(1):93–109.
46. Kantarci A, Nseir Z, Kim YS, et al. Trackman Lack of basement membrane integrity in human gingival overgrowth. J Dent Res. 2011;90(7):887–893. doi:10.1177/0022034511404703
47. Gnanadesigan M, van Soest G, White S, et al. Impact of temperature and fixation on the optical properties of atherosclerotic tissue: a validation research of an ex-vivo entire coronary heart cadaveric mannequin. Biomed Choose Categorical. 2014;5(4):1038–1049. doi:10.1364/BOE.5.001038
48. Bertolotti M, Lonardo A, Mussi C, et al. Nonalcoholic fatty liver illness and growing older: epidemiology to administration. World J Gastroenterol. 2014;20(39):14185–14204. doi:10.3748/wjg.v20.i39.14185
49. Hamaguchi M, Kojima T, Ohbora A, Takeda N, Fukui M, Kato T. Growing older is a danger issue of nonalcoholic fatty liver illness in premenopausal girls. World J Gastroenterol. 2012;18(3):237–243. doi:10.3748/wjg.v18.i3.237
50. Fiorillo L, Cervino G, Laino L, et al. Porphyromonas gingivalis, Periodontal and Systemic Implications: a Systematic Evaluate. Dent J. 2019;7(4):114. doi:10.3390/dj7040114