Artificial Intelligence And Digital Technologies To Determine The Timing Of Orthopedic Loading Of Implants
Roman Studenikin1*, Sabukhi Niftaliev2
1 Dental Clinic, Vashstomatolog, Voronezh, Russia, 394038 Voronezh, Bulvar Pionerov, 17B.
2 Voronezh State University of Engineering Technologies, Voronezh, Russia, 394036 Voronezh, Revolutsii pr. 19.
*Corresponding Author
Roman Studenikin,
Dental Clinic, Vashstomatolog, Voronezh, Russia, 394038 Voronezh, BulvarPionerov, 17B.
E-mail: studenikin@yahoo.com
Received: September 16, 2021; Accepted: October 12, 2021; Published: October 22, 2021
Citation: Roman Studenikin, Sabukhi Niftaliev. Artificial Intelligence And Digital Technologies To Determine The Timing Of Orthopedic Loading Of Implants. Int J Dentistry Oral Sci. 2021;8(10):4812-4820. doi: dx.doi.org/10.19070/2377-8075-21000975
Copyright: Roman Studenikin©2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
An innovative technique has been developed for treatment planning and treatment of patients with partial and total loss of
teeth using artificial neural networks (ANNs) to optimize and predict the timing of early loading of implants.
Predicting the orthopedic loading at all stages of dental treatment makes it possible to speed up the patient's rehabilitation and
shorten the treatment time through a combined intelligent, digital, and automated approach.
The surgical and orthopedic treatment of 89 patients was performed using this technique. The control group consisted of
patients with total and partial secondary adentia, who underwent planning and subsequent surgical and orthopedic treatment
according to the traditional procedure.
It became possible to accurately predict the loadingofthe implants with a prosthetic restoration and to reduce the period
of permanent prosthetics compared to the control group, achieve early osseointegration, and quickly carry out orthopedic
rehabilitation of the patient. In most cases, the need for surgery to increase the volume of soft tissue around the implants
disappears, which excludes the possibility of causing additional injuries.
2.Introduction
3.Materials and Methods
3.Results
4.Discussion
5.Conclusion
5.References
Keywords
Artificial Neural Network; Intraoral Scanner; 3D Printer; Torque Load; Primary Implant Stability.
Introduction
The development of implantology gives impetus to a novelapproachto
accurate planning and loading prediction at all stages of
treatment, as well as to a search for technologies and tools that
reduce the time of surgical and orthopedic treatment to quickly
rehabilitate the patient.
Interest in immediate or early loading of the implant is currently
sharply increasing [1-6]. To achieve high stability parameters of
the implant in the bone tissue and reduce osseointegration, modified
surgical and orthopedic protocols are used [7-13]:
- subcrestal implant placement;
- implant angulation bypassing important anatomical formations;
- choice of the implant design;
- implant placement in the bone tissue by bicortical technique;
- modifying the working protocol for bone preparation, including
its instrumental compaction;
- splinting of provisionalprosthetic restoration on implants;
- placement of a customized provisional composite abutment to
form a gingival profile;
- intraoperative installation of a removable platformswitchingbase
(On1, multiunit).
- plastic surgery of soft tissues immediately after implant placement.
In everyday practice, depending on the primary stability values, it
is possible to decide on immediate, early, or delayed loading of the
implant. The lack of mechanical mobility of the implant results in
changes in the peri-implant tissues leading to a further process of
osseointegration and the natural biological framework around the
implant, forming, over time, the final secondary stability.
To decide about the loading, the resonance frequency analysis
(RFA) for measuring the implant stability, developed by Meredith,
is used, based on the measurement of the resonance of electromagnetic
waves [14, 15].
However, this parameter alone is not always enough; it is necessary
to take into account the influence of other factors that have
a significant effect on the rate of bone regeneration around the
implant, for example, the type of prosthetics, the torque force,
the type of fixation of thedentalrestoration, the type and class of
bone resorption, and the screw-in angle of the implant [16-20].
All of this led us to the idea of combining these parameters into a
single patient management scheme based on artificial intelligence,
as well as creating a software calculation to determine the timing
of orthopedic loading at the surgical phase (Figure 1).
Materials and Methods
After consultation at the planning stage, a number of diagnostic
procedures are performed:
- cone-beam computed tomography, which makes it possible to
see important anatomical formations around the implantation
zone, assess the volume and quality of bone tissue, as well as the
type of resorption, perform a preliminary analysis of the position
of the implant based on virtual planning, determining its diameter
and length, immersion depth and screw-in angle;
- intraoral photo, which allows the patient to evaluate and visualize
the clinical picture at a specific point in time;
- portraitphotos,necessary to assess the compliance of the old
prosthetic restoration with the anthropometric data of the patient
and to discuss the aesthetic requirements for prosthetics of the
frontal teeth;
- intraoral scanning of the upper and lower jaws for further digital
planning;
- physical examination of the mucosa and determination of the
gingival phenotype.
Subsequently, preliminary medical and financial plans are madeand
finalized with the patient.
Results and Discussion
Primary Examination Stage
The patient undergoes an X-ray and the anatomy of the alveolar
ridge is assessed. Using the software interface and the implant
library, the virtual positioning of the implant relative to the bone
volume is performed. Next, the type of bone tissue in the area of
the proposed installation is determined according to the Hounsfield
scale (HU). The units of measurement range from -1024 to
+1024. This method is based on the degree of absorption of Xrays
by anatomical structures [21].
The consequence of tooth extraction is a decrease in the functional
loadingof the alveolar process, which leads to a loss of
volume and a change in the structure of bone tissue. Having received
a section of the alveolar ridge by CBCT in the proposed
implantation zone, the degree of resorption was assessed, which
depends on the blood supply to a particular section of the jaw, on
the presence oftheprosthesis, the period of missing teeth,as well
as on the gender and age of the patient. The Lekchalm and Zarb
classification of bone tissue was taken as the basis [22].
Soft tissues provide nutrition to the periosteum and affect the
timing of implant integration; therefore, prior to dental implantation
surgery, the volume and condition of the mucosa, as well as
the need for soft tissue plastics, are assessed [23]. A thin biotype
of the gingival tissue is a risk factor for its survival. The optimal
predicable result is achieved with a thick type of keratinized
mucosa. The gingival biotype was determined according to Rasperini
with colored probes (HU-Friedy COLORVUE BIOTYPE
PROBE) submerging themone by one into the gingival sulcus and
assessed with transmitted light [24].
To create a future prosthetic restoration, it is necessary to obtain
a digital image of the teeth, which will make it possible to achieve
the ideal accuracy of the provisional restoration and accelerate the
patient's rehabilitation. With the help of a special optical sensor mounted in the tip of the scanner, an image is created and automatically
converted into an open digital STL format, which allows
one to work in any orthopedic modeling program. The process
from scanning to imaging takes 30 minutes.
After scanning is completed and the electronic STL file is saved,
the Exocad program evaluates and additionally simulates the
missing teeth, as well as, if necessary, corrects the shape of the old
prosthetic restoration. In the 3 Shape program, in which a computed
tomography image is preloaded in the Dicom file format,
the virtual placement of the implants and the screwing angle relative
tothe image of the future prosthetic restoration are assessed.
Having received preliminary information about the type of bone
tissue, the class of bone resorption, the biotype of the mucous
membrane, the angle of screwing of the implant relative to the
alveolar ridge, the type of the planned prosthetic restoration, as
well as the torque force to achieve the primary implant stability,
we will be able to predict the timing of the prosthetic restoration
loading from the moment of the implant placement, using
an ANN.
Artificial Neural Network
An artificial neural network was trained to predict the timing of
orthopedic loadingof implants using the Statistica Neural Networks
software package [25]. For this purpose, clinical observations
obtained as a result of surgical treatment with dental implants
in 64 patients were used.
Taking into account the results of the primary examination, the
selection of the main variables (input parameters) was carried out,
which have a significant effect on the rate of bone regeneration
around the implant. Input parameters and levels of variation:
type of prosthetics (single, bridge), torque force, N/cm2 (from
20 to 45), type of fixation (standard, bicortical), bone type (hard,
dense, soft, loose), resorption class (from A to E), screwing angle
(straight, angulated). The implant stability coefficient (ISQ)measured
by the Penguin RFA device (from 50 to 75 units) directly
during the surgery [26] served as an additional factor necessary to
correct the timing of the orthopedic loading.
The response function (output parameter) was the duration of
the orthopedic loading (in days).
Based on the data obtained, the neural network models were
built. An automated neural network with the following settings
was chosen as a strategy for building models: network type - multilayer
perceptron, minimum and maximum number of hidden
neurons - 4 and 12, respectively. The determination coefficient
for the training sample is 0.960141. The activation function of
hidden neurons is identical and of output neurons is logistic. The
squared residuals index ranges from 0 to 6.021, which indicates
that the trained neural network can be used to predict the timing
of orthopedic loading with high accuracy.
Surgery planning and digital analysis of the orthopedic parameters
of the provisional restoration
a) Modelfabrication using 3D printing technology.
Models for the orthopedic treatment planning are fabricated in
the Formlab3 apparatus using stereolithography technology,
which makes it possible to create a restoration by layer-by-layer
solidification of a liquid resin due toexposure to a beam of laser
light [27, 28].
The technology makes it possible to quickly and accurately createan
image of dentoalveolar models before and after treatment.
Once the implant is placed in the desired position, an analog stereographic
model is created allowing the specialist to see the final
design. If necessary, it is possible to reproduce the original copy
using the saved data in the program. Such optimization of the
technological process makes it possible to shorten the production
time and reduce the cost of consumables in comparison with the
traditional method.
The model is used for visualization and assessment of the clinical
situation before and after the orthopedic treatment on implants,
as well as for the fabrication of a provisional reconstruction prior
to surgery.
b) Fabrication of a surgical guide.
Making a guide for implant placement allows one to reduce the
risk of complications associated with trauma to important anatomical
formations, reduce the time of surgical manipulation, increase
the accuracy, and transfer the planned position of the implant,
which eliminates unwanted errors in prosthetics compared
to the “free drill” method. In the 3Shape design software, the
computed tomography data and a digital scan image are merged
[29], which makes it possible to determine the inclination of the
drilling with a pilot drill and the final position of the implant in
the bone. After the guideis modeled, the image is imported into
the Formlab program and sent to print.
When modeling the guide, it is necessary to take into account the
mobility of the teeth, since in most cases the guide rests on them
when it is positioned in the oral cavity. After the surgical guideis
made, a metal drill guide template is inserted in it for pilot drilling.
Before the surgery, the guide is treated with a 2% solution of
Lysoformin-3000 for 15 minutes, then autoclaved for 45 minutes
at 120 °C and a pressure of 1.1 atm.
c) Fabrication of aprovisionalrestoration.
If a decision is madeto directly fix the provisional restoration, it
is modeled and fabricated prior to the implantation surgery by
photopolymer printing in the Formlab apparatus [30]. It is fixed
intraoperatively by gluing into the titanium base. In the case of a
milled provisional restoration, scanning, modeling, and fabrication
are carried out after the implant has been placed.
Implantation Surgery
After treatment of the surgical area with 0.1% chlorhexedine
solution, infiltration anesthesia is performed with a solution of
ultracaine 1: 100 in an amount of 1.8 ml. A surgical guideistaken
from a sterile package and positioned onto adjacent teeth. The
windows in the guidemake it possible to determine its exact fit.
Using a pilot drill, a flapless tissue preparation is made. Drilling is
controlled visually, relative to the metal drill template inserted into
the surgicalguide. The surgical guideis removed and an X-ray of
the position of the guide pin in the bone tissue is taken to control
the position of the implant relative to the roots of adjacent teeth. The final preparation is carried out in the “free drill” position.
The implant is placed under the control of a special positioner
that controls the position of the implant platform and the immersion
depth.
After the implant placement, using a torque wrench, the force
with which the implant was installed in the bone tissue is finally
measured, and the implant stability quotient (ISQ) is determined
using a special device.
The ISQ index directly depends on the compressibility and the
level of integration of the implant, as well as the bone quality.
The inserted Mul Tipeg pin, by a noncontact method, transmits
impulse vibrations depending on the density of the contact between
the implant and the bone, and the values are output to the
device after 1-2 seconds.
The values of the torque force and the ISQ are entered in the
ANN program for the final verification of all parameters and
making a decision on the timing of the orthopedic loading. After
receiving the data within 5 minutes, a decision is made on immediate,
early, or delayed loading with the restoration.
Immediate Loading
In the case of immediate loading, including one-stage implantation
immediately after tooth extraction, to correct the inclination
angle of the implant, a decision is made to install a removable
platform switching base - multiunit, On1 (Figure 2).
After placing the implant in the required position, the platform
switching (On1) base is installedusing a special holder. The height
of the platform switching and the passiveness of the installation
of the base in the implant relative to the bone and soft tissues
must be controlled. To control the exact position of the base in
the implant, X-ray control is performed (Figure 3).
On the base, a torque force of 30 N/cm2 is applied to the screw.
The system with a changing inclination angle, multi unit, is used
for bridge-like restorations, including extended ones. For ease of
insertion into the implant, the multiunit system is provided with a
plastic holder and an additional screw for changing the inclination
angle of the titanium platform. The base has an internal thread
for attaching prosthetic components. Multiunit straight and angled
systems (17 and 30 degrees of inclination) are manufactured
by various companies. The base height varies from 2.0 to 5.0 mm.
The systems are supplied by the manufacturer in sterile packaging.
After placing the implants in the correct orthopedic position, the
implant shaft is irrigated and a certain height and multiunit angle
are set. After installation, the fit of the base into the implant is
controlled radiographically. The base should not exert pressure
on the alveolar bone. The torque force of 30 N/cm2 and 15 N/
cm2 on straight and angled multiunit abutments, respectively,is set
with a special wrench (Figure 4).
The installation of such a system into the implant and the absence
of compression in this area of the bone lead to bone growth to
the height of the titanium base and allow one to place the future
restoration in the correct orthopedic position, as well as to
achieve accuracy when placing its frame.
If the orthopedic loading is immediate, then a scan marker is
installed on the platformswitchingbase (On1/multiunit) and intraoral
scanning is performed. Using the generated STL file, the
provisionalrestorationis modeled in the Exocad program and then it is fabricated. The entire stage from scanning to placement
takes 3-4 hours.
The provisionalrestorationis installed with a torque force up to
25 N/cm2.
After 6 - 8 weeks from the moment of installation of the provisionalrestoration,
it is removed and the X-ray control of the implant
integration, as well as the repeated measurement of the ISQ
are performed. The index, as a rule, varies from 70 to 80 units,
which indicates the possibility of prosthetics with a permanent
prosthetic restoration.
When the final integration of the implant is achieved and the provisional
crown has formed a gingival profile, the restoration is
removed and the scan marker is placed. The image in the form of
an STL file is fixed in a special programandmerged with the image
of the provisionalrestoration, which was simulated earlier. A permanent
orthopedic product is made of a biocompatible material
and installed in an implant with a torque force of 30-35 N/cm2.
Early Loading
After obtaining the results for early loading with the restoration,
a customized provisional composite abutment is placed intraoperatively
to allow for soft tissue formation during the period of
implant integration.
The technology allows for soft tissue formation both from the
level of the implant immediately after its placement and from the
level of the removable platform switching base (multiunit, On1).
The customized composite abutment is fabricated using the Cervicosystem,
which allows one to select the shape for the future
gingival profile and set the depth of implant immersion into the
bone of 0-4 mm.
After the final setting in the Cervico system of the necessary
parameters for the fabrication of a customizedprovisional abutment,
an analogue of the corresponding implantation system is
fixed in the device. The diameter of the analogue completely coincides
with the dental implant, which will be installed in the bone
tissue. The provisional abutment in the analogueis fixed with a
screw, followed by filling the corresponding guide cell with a flowablelight
composite and polymerization.
After the composite has hardened, the abutment is removed from
the device, the occlusal position is assessed using the planning
models and shortened relative to the antagonist teeth.
A customized composite provisional abutment is fabricated prior
to surgery, treated with a 2% solution of Lysoformin-3000 for
15 minutes, and then autoclaved for 45 minutes at 120°C and a
pressure of 1.1 atm. (Figure 5). Provisional suprastructure for the
formation of soft tissues is installed in the implant with a torque
force on the screw up to 15 N/cm2.
The accuracy of the position of the constructionis controlled using
an X-ray image. The opening of the provisional abutment
shaft is closed with a light composite. After installation, sutures
are applied to hold the flap, and additional soft tissue plastic surgery
is performed.
After determining the timing of the early loading with the prosthetic
restoration, radiographic control of the implant integration
is performed, the customized composite abutment is removed,
and the ISQ is measured. If the ISQ is less than 70 points, one
should wait 2 weeks more and repeat the assessment of the implant
stability. If the index is more than 70 points, one can proceed
to the stage of provisional prosthetics using the digital impression
method, and after 2 weeks of adaption of the provisional restoration,
start milling the final restoration, the fabrication steps of
which were described earlier.
Delayed loading
If during the surgery the final prognosis isdelayed loading with
the prosthetic restoration, the implant plug is placed, and the mucoperiostealflap
is completely sutured. The implant must be completely
submerged under the soft tissue and at rest with no load.
During waiting for integration, the radiographic control of the
implant behavior in the bone tissue is carried out after 6, 12, and
20 weeks. After the expiration of the waiting period, the implant
is opened, the plug is removed, and the ISQ is measured. If the
index is more than 70 points, one can start the loading and proceed
to prosthetics with a prosthetic restoration. The patient is fitted
with a customized provisional composite abutment, and soft
tissue plastic surgery is performed.
In 2-3 weeks after the soft tissue formation, it is possible to fabricate
the final restoration.
Clinical case
Female patient Svetlana D., 64 years old, complained of the mobility
of the bridge-like prosthetic restorationin the upper jaw.
The diagnosis (K08.1) was made: partial secondary adentia, loss
of teeth due to an accident, extraction, or local periodontal disease
(Figure 6).
A plain CBCT was performed, the prosthetic restoration was removed,
and the mobility of teeth 15.12.21.22 of Grade II was
established (Figure 7).
The type and resorption of bone tissue in the implantation area
was determined. The timing of the orthopedic loading of the implants
was calculated with the help of the ANN as immediate.
For provisional rehabilitation in the preoperative period, provisional
composite crowns were made (Figure 8).
A decision was made to extract teeth under the old prosthetic
restoration with one-stage installation of dental implants in positions
16.14.13.11.21.23.24. A prognosis was made for immediate
loading with an immobilizing provisional conditionally removable
prosthetic restorationon the day of surgery. The positions of the
implants, the type of fixation, and the angle of their placement
relative to the alveolar ridge were determined.
Intraoral scanning of the image of the old prosthetic restoration,
as well as the abutment teeth was performed (Figure9).
A DICOM file of conebeam computed tomography is uploaded
to the program for planning the position of implants in the bone
tissue, relative to the image of the future prosthetic restoration
(Figure 10).
The final simulation of the provisional crowns on the implants
was performed, taking into account the image of the patient's old
restoration. A virtual merging of images was performed, as well
as a simulation of the surgical guide (Figure 11 – a-d).
In a few hours, a provisionalprostheticrestorationisfabricatedusing
a milling machine (Figure 12) and a surgical guideusing a 3D
printer (Figure 13).
Atraumatic extraction of teeth 11.22.was performed, a surgical
guide was placed on teeth 15.25., pilot drilling and control of the
orthopedic position of the implants relative to the future restoration
were carried out.
The implants were installed in positions 16.14.13.11.21.23.24.
(Figure 14).
Using the ANN, the timing of orthopedic loading was finally determined,
based on the data of the primary implant stability and
the value of the ISQ at the time of implant placement (Figure 15).
Removable platform switching bases (multiunit) were installed
for leveling the inclination angle of implants with a conical connection
and for obtaining the effect of passivity when fitting
the prosthetic restoration. The latter was placed on natural teeth
15.25. to determine the correct position of the crowns on the
implants in the oral cavity. Asilicone imprint from the multi-units
served as a fit checker. After a precise position was determined,
the restoration was glued directly onto provisional abutments in
the oral cavity with adual-polymerization composite (Figure 16).
The final check of the implant stability will be performed 8 weeks
after the start of the surgery and, in the case of complete implant
integration, will be replaced with a permanent restoration.
Figure 1. Methodology for predicting the timing of the loading on implants using artificial neural networks and the stages of treatment of patients with partial and total loss of teeth.
Figure 2. Insertion of the ON 1( NOBEL) system into the implant:
a) bone reduction around the implant;
b) installment of a removable platform switching base.
Figure 5. Soft tissue formation with a customized composite abutment at early loading:
a) gingival profile after 6 weeks;
b) customizedc omposite abutment.
Figure 6. Partial secondary adentia (extended bridge-like prosthetic restoration in the upper jaw was installed more than 10 years ago).
Figure 10. Planning the position of the implants relative to the anatomy of the alveolar ridge and prosthetic restoration.
Figure 11. Final simulation:
a) surgicalguide with respect to a new image of the prosthetic restoration;
b) images of the restoration on implants in a virtual articulator;
c) merging of the old and new images of the prosthetic restoration in the 3shape program;
d) image of a surgical guide.
Figure 15. Primary stability test with a torque wrench (a) and determination of the implant stability quotient using the Penguin device (b).
Conclusion
The application of the developed innovative methodology for
treatment planning and treatment of patients with partial and total
loss of teeth using elements of artificial intelligence provides
a way to determine the duration of the patient's orthopedic rehabilitation
with high accuracy on the day of surgery, which makes it possible to accelerate the process of rehabilitation and reduce
the treatment time by a combination of digital and automated
approach.
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