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Oral and Maxillofacial Surgery

20-11-2023 | Tooth Extraction | Research

Radiographic texture analysis of the hard tissue changes following socket preservation with allograft and xenograft materials for dental implantation: a randomized clinical trial

Authors: Narges Bayat, Mohammad Ali Ghavimi, Kasra Rahimipour, Sedigheh Razi, Farzad Esmaeili

Published in: Oral and Maxillofacial Surgery

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Abstract

Objectives

This study aimed to assess the hard tissue changes following socket preservation with allograft and xenograft materials for dental implantation by texture analysis (TA) using cone-beam computed tomography (CBCT).

Materials and methods

This prospective clinical trial was conducted on 25 patients who required the extraction of carious mandibular posterior teeth and their subsequent replacement with dental implants. The patients were categorized into three groups: (I) no socket preservation, (II) socket preservation with xenograft material, and (III) socket preservation with allograft material. Four months after tooth extraction, the patients were recalled for preoperative assessment before dental implantation, and CBCT scans were obtained (Kvp:110, mA:1.94, S:3.6). MaZda software was used to compare homogeneity, contrast, and texture complexity on axial CBCT sections among the three groups.

Results

Significant differences existed among the three groups in all parameters (P < 0.05) except for the mean correlation parameter (P > 0.05). The results showed no significant difference between the no graft and xenograft groups regarding contrast and differential (dif.) entropy (P > 0.05). Also, no significant difference was found between the xenograft and allograft groups regarding the dif. variance and also between the no graft and allograft groups regarding the inverse difference moment(InvDfMom) and dif. variance parameters (P > 0.05). All other pairwise comparisons revealed significant differences (P < 0.05).

Conclusion

TA can be used for the quantification of radiographic changes of bone following socket preservation and potentially accelerate the process of decision-making for dental implant treatment.
Literature
1.
Schropp L, Wenzel A, Kostopoulos L, Karring T (2003) Bone healing and soft tissue contour changes following single-tooth extraction: a clinical and radiographic 12-month prospective study. Int J Periodontics Restorative Dent 23(4):313–323 PubMed
2.
Zhao JH, Tsai CH, Chang YC (2011) Clinical and histologic evaluations of healing in an extraction socket filled with platelet-rich fibrin. J Dent Sci 6(2):116–122 CrossRef
3.
Lin HK, Pan YH, Salamanca E, Te Lin Y, Chang WJ (2019) Prevention of bone resorption by HA/β-TCP+ collagen composite after tooth extraction: a case series. Int J Environ Res Public Health 16(23):4616 CrossRefPubMedPubMedCentral
4.
Kim ES, Lee IK, Kang JY, Lee EY (2015) Various autogenous fresh demineralized tooth forms for alveolar socket preservation in anterior tooth extraction sites: a series of 4 cases. Maxillofac Plast Reconstr Surg 37(1):27 CrossRefPubMedPubMedCentral
5.
Araújo MG, Lindhe J (2005) Dimensional ridge alterations following tooth extraction. An experimental study in the dog. J Clin Periodontol 32(2):212–8
6.
Ayoub AH, Agbor AM (2017) Comparative study of extraction socket preservation using autogenous PRF and TCP. EC Dent Sci 8:26–37
7.
Orgeas GV, Clementini M, De Risi V, de Sanctis M (2013) Surgical techniques for alveolar socket preservation: a systematic review. Int J Oral Maxillofac Implants 28(4):1049–1061 CrossRef
8.
Mastrangelo F, Quaresima R, Sebastianelli I, Dedola A, Kuperman S, Azzi L, Mortellaro C, Muttini A, Mijiritsky E, Poly D (2019) L-lactide-co-glycolic acid grafting material in sinus lift. J Craniofac Surg 30(4):1073–1077 CrossRefPubMed
9.
Avila-Ortiz G, Rodriguez JC, Rudek I, Benavides E, Rios H, Wang HL (2014) Effectiveness of three different alveolar ridge preservation techniques: a pilot randomized controlled trial. Int J Periodontics Restor Dent 34(4):509–521 CrossRef
10.
11.
Guarnieri R, Pecora G, Fini M, Giardino R, Orsini G, Piattelli A (2004) Medical grade calcium sulfate hemihydrate in healing of human extraction sockets: clinical and histological observations at 3 months. J Periodontol 75(6):902–908 CrossRefPubMed
12.
Bartols A, Kasprzyk S, Walther W, Korsch M (2018) Lateral alveolar ridge augmentation with autogenous block grafts fixed at a distance versus resorbable Poly-D-L-lactide foil fixed at a distance: a single-blind, randomized, controlled trial. Clin Oral Implant Res 29(8):843–854 CrossRef
13.
von Arx T, Hardt N, Wallkamm B (1996) The TIME technique: a new method for localized alveolar ridge augmentation prior to placement of dental implants. Int J Oral Maxillofac Implants 11(3):387–394
14.
Urist MR, Silverman BF, Büring K, Dubuc FL, Rosenberg JM (1967) The bone induction principle. Clin Orthop Relat Res 1(53):243–283
15.
Márton K, Tamás SB, Orsolya N, Béla C, Ferenc D, Péter N, Csaba DN, Lajos C, Zsombor L, Eitan M, György S (2018) Microarchitecture of the augmented bone following sinus elevation with an albumin impregnated demineralized freeze-dried bone allograft (bonealbumin) versus anorganic bovine bone mineral: a randomized prospective clinical, histomorphometric, and micro-computed tomography study. Materials (Basel, Switzerland) 11(2):202 CrossRefPubMed
16.
Cardaropoli G, Araújo M, Hayacibara R, Sukekava F, Lindhe J (2005) Healing of extraction sockets and surgically produced-augmented and non-augmented-defects in the alveolar ridge. An experimental study in the dog. J Clin Periodontol 32(5):435–40
17.
Carmagnola D, Adriaens P, Berglundh T (2003) Healing of human extraction sockets filled with Bio-Oss. Clin Oral Implant Res 14(2):137–143 CrossRef
18.
Draenert FG, Gebhart F, Neugebauer C, Coppenrath E, Mueller-Lisse U (2008) Imaging of bone transplants in the maxillofacial area by NewTom 9000 cone-beam computed tomography: a quality assessment. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 106(1):e31–e35 CrossRefPubMed
19.
Gonçalves BC, de Araújo EC, Nussi AD, Bechara N, Sarmento D, Oliveira MS, Santamaria MP, Costa AL, Lopes S (2020) Texture analysis of cone-beam computed tomography images assists the detection of furcal lesion. J Periodontol 91(9):1159–1166 CrossRefPubMed
20.
Haralick RM, Shanmugam K, Dinstein IH (1973) Textural features for image classification. IEEE Trans Syst Man Cybern 6:610–621 CrossRef
21.
Haralick RM (1979) Statistical and structural approaches to texture. Proc IEEE 67(5):786–804 CrossRef
22.
Bonilha L, Kobayashi E, Castellano G, Coelho G, Tinois E, Cendes F, Li LM (2003) Texture analysis of hippocampal sclerosis. Epilepsia 44(12):1546–1550 CrossRefPubMed
23.
de Albuquerque M, Anjos LG, de Oliveira MS, Castellano G, Nucci A, Junior F (2015) MRI Texture analysis reveals deep gray nuclei damage in amyotrophic lateral sclerosis. J Neuroimaging: Off J Am Soc Neuroimaging 26(2):201–206 CrossRef
24.
Lubner MG, Smith AD, Sandrasegaran K, Sahani DV, Pickhardt PJ (2017) CT Texture analysis: definitions, applications, biologic correlates, and challenges. Radiographics: a review Publication of the Radiological Society of North America, Inc. 37(5):1483–503
25.
De Rosa CS, Bergamini ML, Palmieri M, de Santana Sarmento DJ, de Carvalho MO, Ricardo AL, Hasseus B, Jonasson P, Braz-Silva PH, Costa AL (2020) Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis. Heliyon 6(10):e05194 CrossRefPubMedPubMedCentral
26.
Oda M, Staziaki PV, Qureshi MM, Andreu-Arasa VC, Li B, Takumi K, Chapman MN, Wang A, Salama AR, Sakai O (2019) Using CT texture analysis to differentiate cystic and cystic-appearing odontogenic lesions. Eur J Radiol 120:108654 CrossRefPubMed
27.
Costa AL, de Souza CB, Fardim KA, Nussi AD, da Silva Lima VC, Miguel MM, Jardini MA, Santamaria MP, de Castro Lopes SL (2021) Texture analysis of cone beam computed tomography images reveals dental implant stability. Int J Oral Maxillofac Surg 50(12):1609–1616 CrossRefPubMed
28.
Obuchowicz R, Nurzynska K, Obuchowicz B, Urbanik A, Piórkowski A (2020) Caries detection enhancement using texture feature maps of intraoral radiographs. Oral Radiol 36(3):275–287 CrossRefPubMed
29.
Ricardo AL, da Silva GA, Ogawa CM, Nussi AD, De Rosa CS, Martins JS, de Castro Lopes SL, Appenzeller S, Braz-Silva PH, Costa AL (2023) Magnetic resonance imaging texture analysis for quantitative evaluation of the mandibular condyle in juvenile idiopathic arthritis. Oral Radiol 39(2):329–340 CrossRefPubMed
30.
Mundim MB, Dias DR, Costa RM, Leles CR, Azevedo-Marques PM, Ribeiro-Rotta RF (2016) Intraoral radiographs texture analysis for dental implant planning. Comput Methods Programs Biomed 136:89–96
31.
Metadata
Title
Radiographic texture analysis of the hard tissue changes following socket preservation with allograft and xenograft materials for dental implantation: a randomized clinical trial
Authors
Narges Bayat
Mohammad Ali Ghavimi
Kasra Rahimipour
Sedigheh Razi
Farzad Esmaeili
Publication date
20-11-2023
Publisher
Springer Berlin Heidelberg
Published in
Oral and Maxillofacial Surgery
Print ISSN: 1865-1550
Electronic ISSN: 1865-1569
DOI
https://doi.org/10.1007/s10006-023-01193-z