DOI:

10.37988/1811-153X_2023_1_52

Clinical and laboratory bioinformatic algorithm for predicting the effectiveness of endodontic treatment

Downloads

Authors

  • N.B. Petrukhina 1, 2, PhD in Medical Sciences, full professor of the Clinical pharmacology and internal diseases propaedeutics Department; researcher in the Group of cariesology and endodontics
    ORCID: 0000-0003-3840-8127
  • I.M. Rabinovich 2, PhD in Medical Sciences, full professor of the Therapeutic dentistry Department
    ORCID: 0000-0003-1065-0173
  • V.A. Venediktova 1, postgraduate at the Clinical pharmacology and internal diseases propaedeutics Department
    ORCID: 0000-0002-8581-8826
  • M.V. Saltovets 3, PhD in Medical Sciences, associate professor of the Clinical, surgical, and maxillofacial surgery Department
    ORCID: 0000-0003-0673-2555
  • 1 Sechenov University, 119991, Moscow, Russia
  • 2 Central Research Institute of Dental and Maxillofacial Surgery, 119021, Moscow, Russia
  • 3 Pyatigorsk Medical and Pharmaceutical Institute, 357500, Pyatigorsk, Russia

Abstract

The knowledge of the anatomical and tomographic peculiarities of the root canal structure, taking into account the age of the patient at the stages of diagnosis, helps to plan the correct volume of the therapeutic intervention in endodontic treatment. The aim was to develop the algorithm of endodontic treatment and evaluate its long-term efficiency taking into account the localization of the lesion, anatomical and topographic structure of root canals, laboratory indices and age. Materials and >. 90 patients of both sexes with the diagnosis of “chronic pulpitis” or “chronic periodontitis”, aged between 18 and 75 years, with indications for endodontic treatment were included in the study. Diagnostic measures included cone beam computed tomography (CBCT) with optical magnification during endodontic treatment. The levels of anti-apoptosis protein Bcl-xL and tumor necrosis factor-α (TNF) were determined in dental blood, and the levels of p65 nuclear transcription factor NF-κB were determined in dental blood mononuclear cell lysate. The development of a complex model to assess the efficacy of endodontic treatment was carried out using the method of logistic regression. >. To predict the effectiveness of endodontic treatment it is necessary to take into account the laboratory indices of apoptosis intensity, the balance of inflammatory and transcriptional mechanisms (concentration of Bcl-xL and TNF in dental blood, the level of p65 in dental mononuclear fraction) and by the developed mathematical model to calculate the prognostic coefficient with estimation of the risk of exacerbation of chronic inflammation. >. Optimization of diagnostic measures using fiberoptic magnification, CBCT and treatment measures using self-adaptive endodontic file (SAF) for full three-dimensional treatment and cleaning of the root canal was associated with increased efficiency of endodontic treatment compared with standard diagnostic and treatment methods.

Key words:

chronic pulpitis, chronic periodontitis, endodontic treatment, efficiency

For Citation

[1]
Petrukhina N.B., Rabinovich I.M., Venediktova V.A., Saltovets M.V. Clinical and laboratory bioinformatic algorithm for predicting the effectiveness of endodontic treatment. Clinical Dentistry (Russia).  2023; 26 (1): 52—58. DOI: 10.37988/1811-153X_2023_1_52

References

  1. Tabassum S., Khan F.R. Failure of endodontic treatment: The usual suspects. Eur J Dent. 2016; 10 (1): 144—147. PMID: 27011754
  2. Yamaguchi M., Noiri Y., Itoh Y., Komichi S., Yagi K., Uemura R., Naruse H., Matsui S., Kuriki N., Hayashi M., Ebisu S. Factors that cause endodontic failures in general practices in Japan. BMC Oral Health. 2018; 18 (1): 70. PMID: 29703201
  3. Kornetova I.V., Mitronin A.V., Rabinovich I.M. Current opportunities of primary endodontic treatment of chronic apical periodontitis with endoperio origin. Endodontics Today. 2021; 4: 338—342 (In Russ.). eLIBRARY ID: 47578345
  4. Ghasemi N., Rahimi S., Shahi S., Samiei M., Frough Reyhani M., Ranjkesh B. A Review on root anatomy and canal configuration of the maxillary second molars. Iran Endod J. 2017; 12 (1): 1—9. PMID: 28179915
  5. Olczak K., Pawlicka H. The morphology of maxillary first and second molars analyzed by cone-beam computed tomography in a polish population. BMC Med Imaging. 2017; 17 (1): 68. PMID: 29284426
  6. Arzhantsev A.P., Akhmedova Z.R., Perfil'ev S.A., Vinnichenko Iu.A. Perfection of dental root canals X-Ray study (lab-clinical study). Medical alphabet. 2010; 5: 5—9 (In Russ.). eLIBRARY ID: 16563173
  7. Mkhitaryan A.K., Nechaeva N.K., Dolgalev A.A., Brazhnikova A.N. The use of cone-beam computed tomography in the diagnosis and planning of treatment of caries and its complications. Endodontics Today. 2018; 3: 4—7. (In Russ.). eLIBRARY ID: 36499713
  8. Razumova S.N., Brago A.S., Khaskhanova L.M., Barakat Kh.B., Khuayzhi A., Manvelyan A.S. Anatomy of the root canal system of the mandible teeth according to cone-beam computed tomography. Endodontics Today. 2018; 4: 50—52 (In Russ.). eLIBRARY ID: 37064698
  9. Solomonov M., Itzhak J.B., Levin A., Katzenell V., Shemesh A. Successful orthograde treatment of dens invaginatus Type 3 with a main C-shaped canal based on cone-beam computed tomography evaluation. J Conserv Dent. 2016; 19 (6): 587—590. PMID: 27994325
  10. Bud M., Jitaru S., Lucaciu O., Korkut B., Dumitrascu-Timis L., Ionescu C., Cimpean S., Delean A. The advantages of the dental operative microscope in restorative dentistry. Med Pharm Rep. 2021; 94 (1): 22—27. PMID: 33629044
  11. Honap M.N., Devadiga D., Hegde M.N. To assess the occurrence of middle mesial canal using cone-beam computed tomography and dental operating microscope: An in vitro study. J Conserv Dent. 2020; 23 (1): 51—56. PMID: 33223642
  12. Petrukhina N.B., Zorina O.A., Boriskina O.A., Berkutova I.S., Venediktova V.A., Saltovets R.R. Clinical and radiological assessment of the anatomical and topographic structure of the root canals of teeth in patients of different age groups. Stomatology. 2020; 5: 32—37. (In Russ.). eLIBRARY ID: 44027955
  13. Petrukhina N.B., Zorina O.A., Venediktova V.A. Mechanisms of age-related changes in the morphology of the pulp system of the first lower molars. Stomatology. 2022; 2: 19—24. (In Russ.). eLIBRARY ID: 48239901
  14. Chaleefong M., Prapayasatok S., Nalampang S., Louwakul P. Comparing the pulp/tooth area ratio and dentin thickness of mandibular first molars in different age groups: A cone-beam computed tomography study. J Conserv Dent. 2021; 24 (2): 158—162. PMID: 34759582
  15. Alraies A., Alaidaroos N.Y., Waddington R.J., Moseley R., Sloan A.J. Variation in human dental pulp stem cell ageing profiles reflect contrasting proliferative and regenerative capabilities. BMC Cell Biol. 2017; 18 (1): 12. PMID: 28148303
  16. Sato M., Kawase-Koga Y., Yamakawa D., Fujii Y., Chikazu D. Bone regeneration potential of human dental pulp stem cells derived from elderly patients and osteo-induced by a helioxanthin derivative. Int J Mol Sci. 2020; 21 (20): 10. PMID: 33086667
  17. Rabinovich I.M., Snegirev M.V., Golubeva S.A., Markheev C.I. External cervical tooth root resorption. Stomatology. 2022; 1: 73—78. (In Russ.). eLIBRARY ID: 48239891
  18. Yan W., Montoya C., Øilo M., Ossa A., Paranjpe A., Zhang H., Arola D. Reduction in Fracture Resistance of the Root with Aging. J Endod. 2017; 43 (9): 1494—1498. PMID: 28712639
  19. Özdemir R.B., Özdemir A.T., et al. Age-related changes in the immunomodulatory effects of human dental pulp derived mesenchymal stem cells on the CD4 (+) T cell subsets. Cytokine. 2021; 138: 155367. PMID: 33223447
  20. Aminoshariae A., Kulild J.C., Mickel A., Fouad A.F. Association between Systemic Diseases and Endodontic Outcome: A Systematic Review. J Endod. 2017; 43 (4): 514—519. PMID: 28190585
  21. Borrás C., Mas-Bargues C., et al. BCL-xL, a mitochondrial protein involved in successful aging: from C. elegans to human centenarians. Int J Mol Sci. 2020; 21 (2): 10. PMID: 31936510
  22. Riedlinger T., Liefke R., Meier-Soelch J., Jurida L., Nist A., Stiewe T., Kracht M., Schmitz M.L. NF-κB p65 dimerization and DNA-binding is important for inflammatory gene expression. FASEB J. 2019; 33 (3): 4188—4202. PMID: 30526044

Downloads

Received

November 9, 2022

Accepted

January 16, 2023

Published on

March 22, 2023