|Year : 2021 | Volume
| Issue : 4 | Page : 314-322
|Assessment of irrigant flow and apical pressure in simulated canals of single-rooted teeth with different root canal tapers and apical preparation sizes: An ex vivo study
Immadi Laxmi Sujith, Kavalipurapu Venkata Teja, Sindhu Ramesh
Department of Conservative Dentistry and Endodontics, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
Click here for correspondence address and email
|Date of Submission||26-Dec-2020|
|Date of Decision||04-Feb-2021|
|Date of Acceptance||08-Feb-2021|
|Date of Web Publication||13-Jan-2022|
| Abstract|| |
Background : Irrigation dynamics vary in optimally shaped canals. Various factors combine to create a stress-induced environment leading to a dynamic irrigant flow.
Aim : The aim of the study is to evaluate the irrigant flow and apical pressure using 30G open-ended needle in virtually created root canal model of single-rooted teeth.
Materials and Methods : Sixty extracted single-rooted premolars were selected and prepared using a single rotary instrument Hyflex CM and grouped as – Group I: 30 size 0.6% taper (n = 15), Group II: 30 size 0.4% taper (n = 15), Group III: 25 size 0.6% taper (n = 15), and Group IV: 25 size 0.4% taper (n = 15). Postinstrumentation imaging was carried out using cone-beam computed tomography, and computer-aided design models were obtained. Subgrouping was done based on the nozzle position, and computational fluid dynamic analysis was carried out for the respective parameters assessed.
Results : Statistical significance was elicited in all the groups at different nozzle positions analyzed (P < 0.05). A post hoc test revealed significance in the mean flow rate and flow velocity in Group I at low nozzle position (P < 0.05) as compared to others.
Conclusions : 30 size 0.6% tapered preparations proved efficient irrigant flow and least apical pressures at all nozzle positions.
Keywords: Cone-beam computed tomography; endodontics; root canal irrigants
|How to cite this article:|
Sujith IL, Teja KV, Ramesh S. Assessment of irrigant flow and apical pressure in simulated canals of single-rooted teeth with different root canal tapers and apical preparation sizes: An ex vivo study. J Conserv Dent 2021;24:314-22
|How to cite this URL:|
Sujith IL, Teja KV, Ramesh S. Assessment of irrigant flow and apical pressure in simulated canals of single-rooted teeth with different root canal tapers and apical preparation sizes: An ex vivo study. J Conserv Dent [serial online] 2021 [cited 2023 Oct 4];24:314-22. Available from: https://www.jcd.org.in/text.asp?2021/24/4/314/335756
| Introduction|| |
The endodontic treatment prognosis is dependent on a multitude of factors that contribute to clinical success., The most crucial and neglected aspect in the endodontic treatment is root canal irrigation. Root canal disinfection plays a vital role in endodontic treatment success. It is a known fact that, a three dimensionally obturated canal is a reciprocation of a three dimensionally cleaned and disinfected root canal system., It is preferable to define root canal as a complex or system as multiple portals exist in a single canal, especially the morphology is complicated at the apical one third.
Hence, it is difficult to completely clean and shape the entire root canal system. Hence, considering all these facts, importance has to be given more and studies have to concentrate numerously on various aspects of root canal irrigation dynamics. As discussed, cleaning and disinfecting all crocked spaces of the root canal complex are never achievable. When root canal debridement is analyzed, it can be divided majorly into two sections. Primarily, root canal debridement includes mechanical instrumentation using rotary and hand instruments with intermittent irrigation. The other is the actual irrigation done using various chemical irrigating solutions, which clean and disinfect the mechanically prepared root canals.
Hence, the actual process of root canal irrigation and the dynamics involved in root canal irrigation can be observed and studied in a prepared root canal. When root canal irrigation has to be understood at a basic level, it is always a dynamic phenomenon, rather than a static process. Because studies in literature, majorly assessed the root canal irrigation by observing and evaluating the various parameters, including the mass flow rate, flow velocity, turbulence, shear wall stress, simulated flow time involved in irrigant flow in root canal space.,,,,,,,, When a dynamic phenomenon of root canal irrigation has to be studied, it is essential to observe the flow patterns during the process. Literature showed evidence and validated on computational fluid dynamic analysis as a reliable tool for assessing root canal irrigation.
The present concept is to optimize the root canal shape to clean more. The idea stated was to shape optimal so that the irrigating liquid has to flow, reach, and disinfect till the apical terminus. Hence, the irrigation dynamics vary in optimally shaped canals. When understanding the root canal irrigation at the dynamic level, various parameters are combined to dictate the enhanced cleaning and disinfection of root canal space.,
It is not the static fluid that is involved in the clinical root canal irrigation process. The clinical root canal irrigation is always a dynamic phenomenon with various physical parameters involved such as flow velocity, flow patterns, wall shear stress, and turbulence.,,,,,,,, All these factors combine to create a stress-induced environment, which causes the flowing liquid to dislodge the tightly adherent bacterial biofilm along with the debris and smear layer.,
In the present scenario, with the advanced irrigation agitation systems, which have the enhanced irrigant wall interactions, the dependency on the syringe needle system alone for clinical root canal irrigation procedure is eliminated. Although the dependence is reduced, syringe needle irrigation is a primary mode of the delivery system, especially during the preparatory phases of root canal treatment. Clinically possible optimal irrigant flow rates using 30G side-vented needles were 1.5 ml/min 22–15 ml/min. However, the optimal flow rates decided were 3–4 ml/min based on studies done using periapical pressure assessment models.
Considering all these parameters, studies assessing the root canal irrigant flow should also consider apical pressure. Although the entire root canal irrigation is a dynamic combination of factors that induce dislodging forces, in a clinical scenario, the dictating factor is ultimately the generated apical pressure in due course of root canal irrigation. Hence, the dynamic forces should not cross the physical and physiological limit.
The syringe needle of evaluation used for the present study was a 30G open-ended needle. The study mainly aimed to evaluate the shear wall stress, mass flow rate, velocity, turbulence, and apical pressure using 30G open-ended needle in a virtually created root canal model of single-rooted teeth.
| Materials and Methods|| |
Sample size calculation
The present study was conducted as a pilot study. Previous literature was only based on evaluating the single tooth specimens or geometrical three-dimensional reconstructions rather than analyzing the samples.,,,,,,,, The estimated total sample size was 60 and 15 per group, with a sample of 5 per subgroup, based on the nozzle positions analyzed. The estimated power was 90%.
Before starting the research, approval was obtained from the Institutional Ethics Committee (SRB/SD/MDS12/179 ODS/19). Ethical consent was obtained from the patients before extraction. Freshly extracted human mandibular premolars with single-rooted teeth indicated for therapeutic orthodontic extraction with normal pulpal response on sensibility testing were selected for the present study. Preoperative pulpal sensibility of the teeth indicated for extraction was determined before the anesthetic administration, using a cold test (Green Endo-Ice; Hygienic Corp, Akron, OH, USA) and electric pulp testing (Kerr Analytic Technology Corp, Redmond, WA, USA). Patients under the age group of 20–25 years were only chosen for the present study because teeth were almost likely to be similar. Curvature was also standardized such that it was <5°. Teeth with caries, restorations, fracture, immature root apices, and curvatures >5° were excluded.
Once the teeth were extracted, the soft tissue attached to the tooth surface was curetted, and the specimens were stored in 5% formalin (Ricca Chemicals; fisher scientific; Mumbai; India). Specimens with single root and single root apex were collected. Confirmation of the collected samples was done using angulated intraoral periapical radiographs. Confirmed specimens were decoronated using a straight handpiece using diamond disc (Confident Dental Equipments Ltd., India) under adequate water coolant. The samples' length was standardized to 17 mm from the flat reference point to 1 mm short of the working length.
Teeth with patent canals were selected for the study. Canal patency was achieved using ISO 10-K hand file (M-Access File; Dentsply; Delhi; India). After achieving the patency, teeth were subjected to cone-beam computed tomography (CBCT) (Galileos Viewer Software) to confirm the root canal specimen's shape, from the coronal reference point to the working terminus. Mandibular premolars were scanned using a Kodak 9000 device (Carestream Dental Kodak Systems, Rochester, NY). The resolution of acquired images was around 0.076 mm, 70 kVp, and 6.3 mA, and FOV of the image was adjusted to 18.4 cm × 20.6 cm, with 10.8 s scan time. About 500 sections of the entire tooth specimen were analyzed to confirm the shape of the canal. The root canal volume was neither analyzed nor the aspect ratio. Teeth with approximately round or irregular canals were included. Only teeth with completely oval canals were discarded.
The initial apical diameter of the selected specimens was assessed based on the previously published literature. The parameters for CBCT acquisition were mentioned above. The smallest diameter of all the scanned specimens was measured using CBCT images at 1 mm short of the root apex, using OnDemand3D software (OnDemandedApp 18.104.22.1685; Cybermed, Inc., Seoul, South Korea) directly on axial sections, perpendicular to the canal. The evaluation was carried out in an LCD monitor at (1366 × 768 pixels) resolution, to avoid selecting the premolars, whose apical diameter was more than specified preparation sizes used for the present study. The taper of the root canal was not assessed using CBCT.
Instrumentation and irrigation protocol
Once the teeth specimen were standardized, they were prepared using a single rotary instrument, with respective tapers, using Hyflex CM rotary files (Coltene/Whaledent, West Mumbai, India). The respective tapers prepared with different sizes were:
- Group I: 30 size 0.6% taper (Scan Model 1) (n = 15)
- Group II: 30 size 0.4% taper (Scan Model 2) (n = 15)
- Group III: 25 size 0.6% taper (Scan Model 3) (n = 15)
- Group IV: 25 size 0.4% taper (Scan Model 4) (n = 15).
In due course of instrumentation, irrigation was carried out using 10 ml of 3% sodium hypochlorite (Parcan; Septodont; India), using 30G side-vented needle (NaviTip, Ultradent Products, South Jordan, UT, USA) placed 3 mm short of the apex. Once the complete instrumentation was carried out, irrigation was done using 5 ml of 3% sodium hypochlorite followed by 3 ml of 17% ethylenediaminetetraacetic acid liquid (MD Cleanser; Meta Biomed; India). Distilled water was used for final rinse, and canals were dried using absorbent paper points.
Postinstrumentation imaging and computer-aided design reconstruction
Once the entire instrumentation and irrigation of the specimens were carried out, these specimens were again subjected to CBCT imaging (Galileos Viewer Software). A total of 500 sections were analyzed at different sections of the coronal, middle, and apical third, to recreate a three-dimensional computer-aided design (CAD) model [Figure 1] to simulate the prepared specimen's shape. CBCT scanned root, and the prepared root canal was reconstructed to a three-dimensional object in stereolithography format using ScanIP (Simplex, Essex, UK) software. The three-dimensional root canal CAD model was reconstructed using Design PTC Creo Ver 5.0. CAD models were reconstructed for prepared tapers (Model 1: 30 size 0.6% taper, Model 2: 30 size 0.4% taper, Model 3: 25 size 0.6% taper, Model 4: 25 size 0.4% taper, respectively), as mentioned previously.
Geometrical needle reconstruction
Needle type was modeled using commercially available 30G open-ended needle as a reference (NaviTip, Ultradent Products, South Jordan, UT, USA). The needle type used was open ended. Three-dimensional geometrical needle reconstruction was similar to the previous study by Boutsioukis et al. The needle length and the external and internal diameter were standardized (Dext = 320 μm, Dint = 196 μm, l = 31 mm). As determined by the previous study, the standardized needle length and diameter correspond to the needle's real geometry. The needle was centered and fixed in the simulated canal at 3 mm short of the working length.
Needle insertion depth (nozzle position) was standardized based on the previous computational fluid dynamic reports, which stated that open-ended needles placed 3 mm short induced least apical pressures with optimal irrigant flow. In our study, needle insertion depth for a simulated open-ended type was standardized 3 mm short of the working length for all the computational simulations carried out. Needle placement was standardized by placing the needle at 3 mm at the apical level, 6 mm at the middle level, and 9 mm at the coronal levels.
Once the instrumentation and the imaging were completed, five teeth under each group were subgrouped based on the nozzle positions. The computational fluid dynamic analysis was carried out for the set of the subgrouped CAD models.
- Subgroup I: Low nozzle position (n = 5)
- Subgroup II: Middle nozzle position (n = 5)
- Subgroup III: High nozzle position (n = 5).
Computational fluid dynamic analysis
Computational fluid dynamic analysis was performed based on the previous literature by Boutsioukis et al., and preprocessor Gambit 2.4 (Fluent Inc., Lebanon, NH) was used to reconstruct the three-dimensional geometry and the mesh. A hexahedral mesh was constructed, and in areas with anticipated high gradients of velocity, a grid refinement was performed near the walls. To ensure the reasonable use of computational resources, a grid independency check was performed. Depending on the root canal's shape, the final meshes consisted of 477,000–783,000 cells (mean cell volume 0.7–2.1 × 10−5 mm3).
No-slip boundary conditions were applied under the hypothesis of rigid, smooth, and impermeable walls. The fluid flowed into the simulated domain through root canal orifice, where atmospheric pressure was imposed. The irrigant, 1% sodium hypochlorite, was modeled as an incompressible Newtonian fluid, with density = 1.04 g/m3 and viscosity μ = 0.99.10−3 Pa.s. Gravity was included in the flow field in the direction of the negative z-axis.
To set up and solve the problem, a Commercial Testing Ansys Workbench CFD Fluent Ver-19 was used. A computer cluster (45 dual-core AMD Opteron 270 processors) running 64-bit SUSE Linux 10.1 (kernel version 2.6.16) was used for performing the computations. The flow fields for four different tapered preparations were compared and calculated in terms of mean flow rate and time, velocity, turbulence, wall shear stress, and total pressure. Simulations were carried out in prepared scan models at different nozzle positions [Figure 2], [Figure 3], [Figure 4]. – low (which corresponds to the apical one-third level of needle placement), middle (which corresponds to the middle one-third level of needle placement), and high (which corresponds to the coronal one-third of needle placement), respectively. A series of four simulations were carried out for each scan model (taper), and the nozzle position (needle placement level) assessed the mean value of all the four readings was taken into consideration. A nonstationary and steady flow was observed at all the nozzle positions in the evaluated scan models.
|Figure 2: CFD analysis on parameters assessed at low nozzle position in 30 size 0.6% preparation|
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|Figure 3: CFD analysis on parameters assessed at middle nozzle position in 30 size 0.6% preparation|
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|Figure 4: CFD analysis on parameters assessed at high nozzle position in 30 size 0.6% preparation|
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IBM SPSS Statistics Software for Windows Version 23.0 (Armonk, NY, USA, IBM Corp) was used for data analysis. One-way ANOVA with post hoc Tukey's test was used for multivariate analysis. The null hypothesis tested was that there was no significant difference in evaluated flow rate and apical pressure on computational fluid dynamic analysis in virtually created models with two different apical preparation sizes and root canal tapers.
| Results|| |
Nozzle position depicts the needle insertion depth. It was divided into three positions:
- Low nozzle position
- Middle nozzle position
- High nozzle position.
Corresponding to the depths of 3 mm, 6 mm, and 9 mm from the working lengths.
Different scan models corresponded to each group with specific taper and apical preparation sizes.
Mass flow rate
When the mass flow rate was evaluated, Group I at low nozzle position elicited higher mean value (0.6927 ml/min), [Table 1] as compared to others. A statistically significant difference was elicited among the groups at different nozzle positions analyzed (P < 0.05) [Table 2] and [Table 3]. Post hoc Tukey's showed significantly lower values in Group IV (P < 0.05) than others. When different nozzle positions were analyzed, significantly higher values were noted at low nozzle position (P < 0.05) as compared to the other positions analysed [Table 3].
|Table 2: Depicting one-way ANOVA analysis for different parameters for the groups assessed|
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|Table 3: Subgroup analysis depicting statistical significance among different nozzle positions analysed|
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Mean simulated flow time
When mean simulated flow time was evaluated, the time taken for the complete simulated irrigant flow was more in Group IV, high nozzle position (8.12 s), [Table 1] than others. A statistically significant difference was elicited among the groups at different nozzle positions analysed (P < 0.05) [Table 2] and [Table 3]. Post hoc Tukey's showed significantly higher values in Group IV (P < 0.05) than others. When different nozzle positions were analyzed, significantly higher values were noted at low nozzle position (P < 0.05) as compared to the other positions analysed [Table 3].
Mean flow velocity
When mean flow velocity was evaluated, Group I, low nozzle position elicited higher mean velocity than others (0.6926 mm/s) [Table 1]. A statistically significant difference was elicited among the groups at different nozzle positions analysed (P < 0.05) [Table 2] and [Table 3]. Post hoc Tukey's showed significantly lower values in Group IV (P < 0.05) than others. When different nozzle positions were analyzed, significantly higher values were noted at low nozzle position (P < 0.05) as compared to the other positions analysed [Table 3].
When turbulence was evaluated, Group IV and low nozzle position showed the highest possible mean values compared to others (306.51J/kg) [Table 1]. A statistically significant difference was elicited among the groups at different nozzle positions analysed (P < 0.05) [Table 2] and [Table 3]. Post hoc Tukey's showed significantly higher values in Group IV (P < 0.05) than others. When different nozzle positions were analyzed, significantly higher values were noted at low nozzle position (P < 0.05) as compared to the other positions analysed [Table 3].
Shear wall stress
When wall shear stress was evaluated, Group IV and low nozzle position showed the highest possible mean values than others (10.17 Pa) [Table 1]. A statistically significant difference was elicited among the groups at different nozzle positions analysed (P < 0.05) [Table 2] and [Table 3]. Post hoc Tukey's showed significantly higher values in Group IV (P < 0.05) than others. When different nozzle positions were analyzed, significantly higher values were noted at low nozzle position (P < 0.05) as compared to the other positions analysed [Table 3].
Total pressure elicited in all the simulations was higher in Group IV at low nozzle position than others (306.55 Pa) [Table 1]. A statistically significant difference was elicited among the groups at different nozzle positions analysed (P < 0.05) [Table 2] and [Table 3]. Post hoc Tukey's showed significantly higher values in Group IV (P < 0.05) than others. When different nozzle positions were analyzed, significantly higher values were noted at low nozzle position (P < 0.05) as compared to the other positions analysed [Table 3].
CAD model reconstruction of the different scan models is depicted in [Figure 1]. Simulations in 30 size 0.6% preparations at different nozzle position are depicted in [Figure 2], [Figure 3], [Figure 4].
| Discussion|| |
The present study mainly targeted in evaluating the optimal root canal shapes preferred and prepared for day-to-day endodontic practice. When considered, there is still an ambiguity in preferable taper and apical preparation size advisable for a specific case. However, one cannot generalize a standard common taper and preparation size for all case scenarios. Mostly, a clinical decision on specified taper and preparation sizes for a specific tooth undergoing endodontic therapy varies from a clinical condition, canal curvature, and intricate root canal anatomy and ultimately based on operators decision.
The parameters assessed in the present study were the mass flow rate, simulated delivery time, velocity, total pressure, turbulence, and wall shear stress. The flow patterns in different nozzle positions were also evaluated in the scan models during the simulations. The current research assessed the possible optimal values in simulated scan models.
When parameters assessed in different scan models were evaluated, there was a decrease in the mean values obtained in compared scan models in all the nozzle positions. When wall shear stress, total pressure, and mean irrigant flow time were assessed, there was an increase in the mean values obtained at different nozzle positions evaluated. Hence, it can be assessed that parameters varied based on other scan models compared to different nozzle positions.
When different nozzle positions were evaluated for the parameters assessed, there was a significant mean value in different nozzle positions in all the scan models compared. Higher mean flow rate, velocity, turbulence, total pressure, and wall shear stress were obtained at low nozzle position followed by middle and high nozzle positions. The results were similar to Boutsioukis et al. study, which stated that open-ended needles achieved maximum flow rates and adequate irrigant replacement when needles were placed close to working length.
However, the mean simulated flow time was more in high sections as compared to other nozzle positions. The reason for a deviated reading of increased mean simulated flow time would be due to the required wall contact time. In simulated models, when the needle was placed at a higher position, the time required for the continuous simulated wall contact in all root canals was more than the middle and low positions. Theoretically, the wall contact surface area was less at low and middle nozzle position than the high nozzle position.
The present study evaluated the maximum possible irrigant flow and the apical pressure generated in virtually created single-rooted teeth models with different root canal tapers. The protocol of assessment of the current study was different from the previous literature. The present study concentrated on the maximum possible irrigant flow and apical pressure generated in single-rooted teeth at coronal, middle, and apical levels of the root canal's virtually created model.
Compared to the operator's choice and experience, the decision should be taken based on the available evidence. A systematic review has clearly stated in this aspect. Based on the literature evidence, increased apical preparation sizes showed improved healing outcomes on clinical and radiographic evaluation. With the advent of the present concept of agitation devices, the concept of optimal shapes for a specific root canal preparation is concentrated to a large extent. Although there is no clarification on the optimal large size, a recent letter has enlightened an essential aspect of the depth of root canal irrigant penetration. As, stated by the author, the penetration of root canal irrigant and the availability of fresh liquid in the apical terminus, enhances the disinfection. Hence, shape can be optimized if the irrigating solution reaches till the working length as it improves the cleanliness of the shaped root canal.
Considering all these, the current study mainly aimed to evaluate the two main factors, taper and apical preparation size, which has a specific role in irrigant delivery at the most apical part of the root canal system. Needle selection was based on the study done by Boutsioukis et al., which has evaluated various needle types and designs and concluded that the flow rates were better with open-ended flat needles compared to the other types. The reason for choosing the 30G open-ended needle was based on the previous literature, which stated the maximal efficiency in terms of flow rate, resulting in more irrigant replacement than other needle types. However, the study also was noted the importance of needle placement on apical pressure developed. Hence, to simulate the clinical scenario, the needle was placed 3 mm short of working length.
As the current study mainly aimed at evaluating the effect of needle position in different tapered and prepared canals, we were not particular in selecting perfectly round canals. It is quite unusual to find teeth having perfectly round or cylindrical and tapered root canals in an ideal clinical scenario. Hence, due to the practical difficulties, we choose only approximately round or irregular canals.
Although the present study's primary aim was not to simulate the ideal clinical situation, the study aimed to evaluate the various simulated patterns to assess the preferable optimal shape and size in approximately round or irregular canals with minimal or no curvature. The possible irrigant flow rate obtained in the present study was 0.67–0.69 ml/min. The existing endodontic research reported a wide range of possible irrigant flow rates ranging from 0.03 ml/s to 1.27 ml/s.,,, Park et al. stated the possible irrigant exchange and maximum effectiveness at a flow of 1–4 ml/min. Our study results were in correlation with the previous literature.
The present study results on other parameters such as mean flow velocity and turbulence were correlated with previous studies.,,, The taper does influence on the irrigant flow. In the present study, 30 size 0.6% tapered preparation showed better-simulated irrigant flow compared to others. However, an interesting point that was evaluated was the apical preparation size, which has a significant role to play in apical irrigant delivery. The present study results proved an exciting trend considering factor on apical preparation sizes. Compared to the taper, apical preparation has a significant role in efficient irrigant delivery at the apical third. The post hoc Tukey's results showed that 30 size 0.4% taper showed similar efficiency in irrigant flow compared to 30 size 0.6% tapered simulation.
When irrigant delivery time was evaluated, it was almost similar in all the models considered. The mean delivery time ranged from 7.2 to 8.1 s. Hence, the continuous flow may be achieved in this specified time frame. However, the clinical translation of this parameter is not possible. It varies on the operator and other factors such as needle gauge selection, canal curvature, and barrel selected for irrigation, that have a role to play in different case scenarios. Hence, considering the time of simulation as a factor of efficiency is not clinically applicable.
When wall shear stress was evaluated, 25 size 0.4% taper showed better values compared to others. With the advent of agitation systems, which have an enhanced irrigant wall contact, wall shear stress is not a deciding factor on irrigant contact efficiency, especially on manual syringe needles with different designs. The major safeguarding factor on clinical applicability is the generated apical pressure. Although wall shear stress was better in 25 size 0.4% preparations at the apical position, the apical pressure developed was very high, around 306.51 pa. Such higher pressures developed apically in a clinical scenario cause massive irrigant extrusion.
A conclusive remark on the efficiency of the open-ended needle in terms of shear wall stress cannot be applied from the present study. However, results showed the efficiency of shear wall stress in 25 size 0.4% at the apical position. This may be due to the decreased lateral space between the needle and the simulated root canal wall, increasing shear wall stress. This increases massive apical pressure and cannot be considered a primary factor for efficient delivery of irrigant.
When the present study results on developed apical pressure were evaluated, the data obtained were in correlation with the previous literature, which stated the increased apical pressures as needle placement is 95% to the working length., When mean velocity and velocity streamline were evaluated, high nozzle position in all scan models proved constant increased values. Hence, by this factor, it can be stated that an adequate taper provides a space for irrigant to circulate and contact all the root canal walls efficiently.
When the assessments on apical preparation size regarding the irrigant extrusion have to be assessed, a systematic review by Boutsioukis et al. highlighted that over instrumentation and destruction of apical foramen were the one among the considered factors, resulting in the irrigant extrusion. The frequency of NaOCl extrusion depends on the apical preparation size, and the extrusions were less in teeth with preparation size of 35 0.6 (36%) as compared to 50 0.6 (60%). Hence, more significant the preparation sizes beyond the optimal limits tend to cause more extrusion of the root canal irrigant. There is only one study in the literature, which has analyzed and proved the effect of needle gauge on the irrigant flow in clinical scenario.
Finally, when limitations of the present study were considered, it is a preliminary simulated study, and the results might not translate an actual clinical scenario. The other factor that is lacking is the canal curvature. Future studies have to concentrate the irrigant flow in curved canals which lack irrigant flow at apical parts of the root canal. Future studies should be concentrated on the agitation devices on simulated flow patterns and apical pressures.
| Conclusions|| |
30 size 0.6% tapered preparations proved efficient irrigant flow and least apical pressures at all nozzle positions, compared to the other groups analysed.
The present study is dedicated to Dr. Sujith, and authors are thankful for his dedication and hard work in carrying out the entire research project with keen interest.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Ørstavik D, Qvist V, Stoltze K. A multivariate analysis of the outcome of endodontic treatment. Eur J Oral Sci 2004;112:224-30.
Matsumoto T, Nagai T, Ida K, Ito M, Kawai Y, Horiba N, et al
. Factors affecting successful prognosis of root canal treatment. J Endod 1987;13:239-42.
Kandaswamy D, Venkateshbabu N. Root canal irrigants. J Conserv Dent 2010;13:256-64.
] [Full text]
Teja KV, Ramesh S. Is a filled lateral canal–A sign of superiority?. J Dent Sci 2020;15:562.
Kuttler Y. Microscopic investigation of root apexes. J Am Dent Assoc 1955;50:544-52.
Teja KV, Ramesh S. Shape optimal and clean more. Saudi Endod J 2019;9:235. [Full text]
Haapasalo M, Shen Y, Qian W, Gao Y. Irrigation in endodontics. Dent Clin 2010;54:291-312.
Boutsioukis C, Gogos C, Verhaagen B, Versluis M, Kastrinakis E, Van der Sluis LW. The effect of apical preparation size on irrigant flow in root canals evaluated using an unsteady computational fluid dynamics model. Int Endod J 2010;43:874-81.
Boutsioukis C, Gogos C, Verhaagen B, Versluis M, Kastrinakis E, Van der Sluis LW. The effect of root canal taper on the irrigant flow: Evaluation using an unsteady computational fluid dynamics model. Int Endod J 2010;43:909-16.
Hu S, Duan L, Wan Q, Wang J. Evaluation of needle movement effect on root canal irrigation using a computational fluid dynamics model. Biomed Eng Online 2019;18:52.
Boutsioukis C, Lambrianidis T, Kastrinakis E, Bekiaroglou P. Measurement of pressure and flow rates during irrigation of a root canal ex vivo
with three endodontic needles. Int Endod J 2007;40:504-13.
Boutsioukis C, Lambrianidis T, Kastrinakis E, Bekiaroglou P. Measurement of pressure and flow rates during irrigation of a root canal ex vivo
with thrBoutsioukis C, Lambrianidis T, Kastrinakis E. Irrigant flow within a prepared root canal using various flow rates: A computational fluid dynamics study. Int Endod J 2009;42:144-55.
Boutsioukis C, Lambrianidis T, Verhaagen B, Versluis M, Kastrinakis E, Wesselink PR, et al
. The effect of needle-insertion depth on the irrigant flow in the root canal: Evaluation using an unsteady computational fluid dynamics model. J Endod 2010;36:1664-8.
Snjaric D, Carija Z, Braut A, Halaji A, Kovacevic M, Kuis D. Irrigation of human prepared root canal – Ex vivo
based computational fluid dynamics analysis. Croat Med J 2012;53:470-9.
Boutsioukis C, Verhaagen B, Versluis M, Kastrinakis E, Wesselink PR, van der Sluis LW. Evaluation of irrigant flow in the root canal using different needle types by an unsteady computational fluid dynamics model. J Endod 2010;36:875-9.
Shen Y, Gao Y, Qian W, Ruse ND, Zhou X, Wu H, et al
. Three-dimensional numeric simulation of root canal irrigant flow with different irrigation needles. J Endod 2010;36:884-9.
Gao Y, Haapasalo M, Shen Y, Wu H, Li B, Ruse ND, et al
. Development and validation of a three-dimensional computational fluid dynamics model of root canal irrigation. J Endod 2009;35:1282-7.
Zehnder M. Root canal irrigants. J Endod 2006;32:389-98.
Layton G, Wu WI, Selvaganapathy PR, Friedman S, Kishen A. Fluid dynamics and biofilm removal generated by syringe-delivered and 2 ultrasonic-assisted irrigation methods: A novel experimental approach. J Endod 2015;41:884-9.
Goode N, Khan S, Eid AA, Niu LN, Gosier J, Susin LF, et al
. Wall shear stress effects of different endodontic irrigation techniques and systems. J Dent 2013;41:636-41.
Moser JB, Heuer MA. Forces and efficacy in endodontic irrigation systems. Oral Surg Oral Med Oral Pathol 1982;53:425-8.
Khan S, Niu LN, Eid AA, Looney SW, Didato A, Roberts S, et al
. Periapical pressures developed by nonbinding irrigation needles at various irrigation delivery rates. J Endod 2013;39:529-33.
Campello AF, Marceliano-Alves MF, Siqueira JF Jr., Marques FV, Guedes FR, Lopes RT, et al
. Determination of the initial apical canal diameter by the first file to bind or cone-beam computed tomographic measurements using micro-computed tomography as the gold standard: An ex vivo
study in human cadavers. J Endod 2019;45:619-22.
Aminoshariae A, Kulild JC. Master apical file size – Smaller or larger: A systematic review of healing outcomes. Int Endod J 2015;48:639-47.
Lee OY, Khan K, Li KY, Shetty H, Abiad RS, Cheung GS, et al
. Influence of apical preparation size and irrigation technique on root canal debridement: A histological analysis of round and oval root canals. Int Endod J 2019;52:1366-76.
Chow TW. Mechanical effectiveness of root canal irrigation. J Endod 1983;9:475-9.
Lee SJ, Wu MK, Wesselink PR. The effectiveness of syringe irrigation and ultrasonics to remove debris from simulated irregularities within prepared root canal walls. Int Endod J 2004;37:672-8.
Park E, Shen Y, Khakpour M, Haapasalo M. Apical pressure and extent of irrigant flow beyond the needle tip during positive-pressure irrigation in an in vitro
root canal model. J Endod 2013;39:511-5.
Boutsioukis C, Psimma Z, van der Sluis LW. Factors affecting irrigant extrusion during root canal irrigation: A systematic review. Int Endod J 2013;46:599-618.
Mitchell RP, Baumgartner JC, Sedgley CM. Apical extrusion of sodium hypochlorite using different root canal irrigation systems. J Endod 2011;37:1677-81.
Gopikrishna V, Sibi S, Archana D, Pradeep Kumar AR, Narayanan L. An in vivo
assessment of the influence of needle gauges on endodontic irrigation flow rate. J Conserv Dent 2016;19:189-93.
] [Full text]
Dr. Sindhu Ramesh
Department of Conservative Dentistry and Endodontics, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, 162, Poonamallee High Road, Chennai - 600 077, Tamil Nadu
Source of Support: None, Conflict of Interest: None
[Figure 1], [Figure 2], [Figure 3], [Figure 4]
[Table 1], [Table 2], [Table 3]
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