2023 Volume 11 Issue 1
Creative Commons License

RETROSPECTIVE ASSESSMENT OF DENTAL IMPLANT-RELATED ANATOMICAL STRUCTURE PERFORATIONS USING CONE BEAM COMPUTED TOMOGRAPHY

Shahad B. Alsharif 1*, Lina Bahanan2, Maitha Almutairi3, Sultana Alshammry3, Hanadi Khalifa4

1Department of Periodontology, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia. [email protected]

2Department of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.

3Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.

4Department of Oral Diagnostic Sciences, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.


ABSTRACT

This retrospective study assessed the prevalence of dental implant-related perforations of adjacent anatomical structures using cone-beam computed tomography (CBCT). Retrospective assessments of CBCT scans of dental implants were evaluated for the presence of relevant anatomical structure perforations. The data collection included demographic and implant information. The implants were further categorized according to the implants’ type, location, length, diameter, mesial and distal spacing, thread exposure, and the presence or absence of a radiographic guide. Univariate and bivariate analyses were conducted to assess the prevalence of dental implant-related anatomical perforations and to evaluate their distribution across several factors. A total of 441 implants met the inclusion criteria; 14.5% were associated with anatomical structure perforation. The inferior alveolar canal was most frequently perforated, followed by the maxillary sinus. Around half of the implants had cortical plate perforations (210 implants; 47%). Perforation of adjacent anatomical structures was more prevalent posteriorly than anteriorly (P=0.03). Mesial and distal spacing were significantly inadequate when the adjacent structure was an implant rather than a tooth (P<.0001). Dental implant-related anatomical perforations are relatively prevalent and occur more frequently posteriorly than anteriorly. This study alerts dental practitioners to avoid these perforations and emphasizes the importance of presurgical planning using CBCT and implant planning software to achieve the desired clinical outcome.

Key words: Dental implants, Cone-beam computed tomography, CBCT, Implant failure.


Introduction

Dental implants, a safe, durable treatment option widely used worldwide to replace missing teeth, have a 98.8% survival rate and a 97.0% success rate [1]. To achieve an ideal result and to avoid future peri-implant disease, dental implant treatment planning during the planning phase should include careful consideration of all possible factors that can contribute to implant failure [2].

Dental implant complications can arise from several contributing risk factors that affect implant success. These factors include smoking; systemic diseases or medications; the persistent presence of bacteria due to poor oral hygiene; infections; inadequate bone volume at the site of implant surgery; and operator-related causes, such as lack of experience, inadequate equipment, or neglect during implant selection, or complications during implant surgical placement [3, 4].

An additional concern associated with insufficient surgical planning and surgical errors is the possible violation of normal anatomical structures, such as the inferior alveolar canal, incisive canal, and mental foramen, which may cause neurosensory changes due to nerve injury from osteotomy or bone compression [5]. Improper implant angulation can negatively affect the neighboring tooth’s vascular supply, leading to devitalization of the adjacent tooth and bone necrosis.

Advanced cases with severe infection can provoke mobility and loss of the dental implant [6]. Therefore, the clinician must thoroughly understand the bone anatomy at the implant site and its adjacent anatomical structures before surgery to avoid any possible violations of the anatomical structures.

The use of three-dimensional imaging, such as cone beam computed tomography (CBCT), is recommended before dental implant placement for pre-surgical diagnosis and treatment planning [7]. These images should be of good diagnostic quality, allowing proper visualization of the adjacent anatomical structures and the desired area of bone to receive the dental implant. The volumetric evaluation of the desired area helps to examine the dimension and morphology of the alveolar bone, the density, and the trabecular bone pattern, as well as the surrounding anatomical structures more accurately [8].

For post-surgical implant evaluation, a periapical or panoramic radiograph is needed to confirm the location of the implant. However, the European Association for Osseointegration recommends using CBCT for post-surgical evaluation in cases with complications, such as sinonasal infection, altered sensation, or neural disturbance due to dental implant proximity to the inferior alveolar nerve [9]. CBCT is also recommended in cases of dental implant mobility in which implant retrieval is expected. However, it is crucial to understand that CBCT imaging is not indicated for the periodic evaluation of clinically asymptomatic patients [10].

A cross-sectional study conducted in Brazil reported that anatomical perforation occurred in 33.3% of implants, with more perforations in the maxilla than in the mandible [11, 12]. Another study in Romania reported that only 6.89% of implants showed positioning complications, with the maxillary sinus being the most involved structure [13].

Very few studies have reported dental implant-related anatomical perforations, with no studies being conducted in Saudi Arabia or other countries in the Middle East. Thus, the objectives of this study were to assess the prevalence of dental implant-related perforations of relevant anatomical structures using CBCT. Moreover, examine the association between dental implant-related perforations and other factors, including different dental specialties, dentist’s experience level, preoperative CBCT scan with the radiographic stent, dental implant location, diameter, type, and thread exposure.  

Materials and Methods

This research was reviewed and approved by the Research Ethics Committee of King Abdulaziz University, Faculty of Dentistry (KAUFD), Jeddah, Saudi Arabia (Protocol number 135-12-20) and was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2013. As this retrospective study involved only reviewing the dental record with no human risk or harm to participants. Thus, signed written consent was waived by the Committee.

Study Sample

This retrospective cross-sectional study assessed CBCT images from the database of a university-based oral and maxillofacial radiology clinic. All CBCT images were obtained using an iCAT scanner (Imaging Sciences International, Hatfield, PA, USA). Inclusion criteria included CBCT scans with single or multiple dental implants of good diagnostic quality. CBCT scans with a voxel size of 0.3-0.4 mm were included in the study. CBCT scans containing artifacts or partially imaged dental implants were excluded. The sample size calculation was determined according to Krejcie and Morgan’s sample size table [14]. The minimum sample size required was 364 implants.

Image Assessment

Two calibrated examiners carried out data collection using OnDemand 3D Imaging Software (Cybermed, Seoul, South Korea). The reconstructions were reoriented in three dimensions (coronal, axial, and sagittal). The retrieved data included the patient’s age, gender, dentist’s specialty (implant dentistry, periodontics, oral surgery, and prosthodontics), dentist’s experience level (faculty or resident), and whether the implant was placed at KAUFD or outside the institution.

The implants were classified according to the following: [11]

  • Implant location: maxilla or mandible, and anterior or posterior.
  • Diameter: <3.0 mm, ≥3.0 mm to <3.75 mm, ≥3.75 to <5 mm, and ≥5 mm.
  • Length: ≤6 mm, >6 mm to -10 mm, ≥10 mm to <13 mm, and ≥13 mm.
  • Implant type: Straumann, Nobel, Astra, Zimmer, Prima, and Biohorizon.
  • Prosthetic loading: present or absent.
  • Type of prosthesis: single implant, implant/implant FDP, and implant/tooth FDP, or not applicable (NA) in cases with absent prosthetic loading.
  • Angulation of implant/abutment: normal or abnormal (>30°), or NA in cases with absent prosthetic loading.
  • Cortical plate perforation: absent, present – buccal/labial, present – palatal/lingual, present – buccal/labial + palatal/lingual.
  • Perforation of adjacent anatomical structures: absent, incisive canal, nasal cavity, maxillary sinus, mental foramen, inferior alveolar canal, and adjacent tooth root.
  • Thread exposure (≥1 mm): present or absent.
  • The spacing between the implant and the adjacent implant/tooth (both mesial and distal): adequate (implant to tooth ≥1.5 mm) (implant to implant ≥3 mm), inadequate (implant to tooth <1.5 mm) (implant to implant <3 mm), or NA (in cases of adjacent edentulous area).
  • CBCT before implant placed with radiographic guide: present, absent, NA (if the implant was placed outside KAUFD).

Statistical Analysis

All statistical analyses were performed using Statistical Analysis System (SAS) version 9.4 software. Inter-examiner and intra-examiner reliability were evaluated using kappa statistics (1.0 P<0.001 and 0.7 P<0.001, respectively). Univariate analysis was performed to describe the characteristics of the sample. A Chi-squared test and a Fisher’s exact test with Monte Carlo simulation were conducted to assess the distribution of dental implant-related perforation. Statistical significance was set at P-value <0.05.

Results and Discussion

A total of 1102 CBCT scans acquired at KAUFD were randomly selected and evaluated. Of these scans, 152 CBCT had a total of 441 dental implants, which met the inclusion criteria (301 females and 140 males, ages 21 to 80 years; mean age was 49.3 ± 13.1 years).

According to the anatomical location, 34 implants (7.71%) were in the anterior mandible, 168 (38.1%) were in the posterior mandible, 73 (16.55%) were in the anterior maxilla, and 166 (37.64%) were in the posterior maxilla. There were more implants in the maxilla than in the mandible (n=237, 53.7% vs. n = 204, 46.3%, respectively). Out of these 441 implants, only 171 (38.8%) had the prosthetic component present. Out of these 171 (38.8%) implants, only 13 (3%) had abnormal implant-abutment angulation (>30°).

Overall, the prevalence of dental implant-related anatomical perforations was 14.5%, with the inferior alveolar canal being the most commonly perforated anatomical structure, followed by the maxillary sinus. A detailed distribution of the perforated anatomical structures is shown in (Table 1) with no additional anatomical structures perforated other than those listed in the table. Cortical plate perforation was present in about half of the dental implants (210 implants, 47.6%), with the majority of cortical plate perforations involving both buccal and palatal cortical plates of the same implant (96 implants, 21.8%), followed by buccal plate perforation, with palatal/lingual plate perforation being the least frequent (Table 1).

 

 

Table 1. Sample characteristics

Characteristics

Total implants

n=441

n(%)

Gender

Male

Female

 

140 (31.8)

301 (68.3)

Nationality

Saudi

Non-Saudi

 

385 (87.3)

56 (12.7)

Placed at KAUFD

Yes

No

 

305 (69.2)

136 (30.8)

Anatomical structure perforation

Yes

No

 

64 (14.5)

377 (85.5)

Perforated anatomical structure

Absent

Nasal Cavity

Maxillary Sinus

Mental Foramen

Inferior Alveolar Canal

Adjacent Tooth Root

 

377 (85.5)

1 (0.2)

21 (4.8)

7 (1.6)

27 (6.1)

8 (1.8)

Cortical plate perforation

Absent

Present – Buccal

Present – Palatal/Lingual

Present – Buccal + Palatal/Lingual

 

231 (52.4)

88 (19.9)

26 (5.9)

96 (21.8)

Perforation

Absent

Both cortical plate and adjacent structure

Cortical plate without adjacent structure

Adjacent structure without cortical plate

 

193 (43.76)

27 (6.12)

183 (41.5)

38 (8.62)

Angulation of implant/abutment

Abnormal (>30°)

Normal

N/A

 

13 (3.0)

159 (36.0)

269 (61.0)

Prosthetic loading

Yes

No

 

171 (38.8)

270 (61.2)

Type of prosthesis

Single implant

Implant/implant FDP

Implant/tooth FDP

N/A

 

88 (20.0)

77 (17.5)

9 (2.0)

267 (60.5)

Thread exposure

Yes (≥1mm)

No

 

210 (47.6)

231 (53.4)

Implant’s radiographic guide present in CBCT

Yes

No

N/A

 

119 (27.0)

186 (42.2)

136 (30.8)

Mesial spacing

Inadequate spacing

Adequate spacing

N/A- edentulous area

 

63 (14.3)

270 (61.2)

108 (24.5)

Distal spacing

Inadequate spacing

Adequate spacing

N/A- edentulous area

 

55 (12.5)

215 (48.8)

171 (38.8)

Implants length

≤ 6 mm

> 6 mm to < 10 mm

≥10 mm to < 13 mm

≥ 13 mm

 

2 (0.5)

72 (16.3)

279 (63.3)

88 (19.9)

Implants diameter

< 3.0 mm

≥ 3.0 mm to < 3.75 mm

≥ 3.75 mm to < 5 mm

≥ 5 mm

3 (0.7)

86 (19.5)

243 (55.1)

109 (24.7)

N/A: not applicable

 

 

Implant cases with cortical plate perforation and/or perforations of different anatomical structures are shown in (Figure 1). A presurgical CBCT with a radiographic stent was acquired for 119 implants only (27%). Only 193 implants (43.76%) were in an adequate position with no perforation of either the cortical plate or any adjacent anatomical structure, while 27 implants (6.12%) had both cortical plate perforation and perforation of the adjacent anatomical structure (Table 1). Adjacent anatomical structure perforation was more frequent posteriorly than anteriorly (P=0.03), but there was no significant association when comparing the maxilla and mandible. Detailed perforation information in relation to the anatomical location is shown in (Table 2).

a)

b)

c)

d)

e)

f)

g)

h)

i)

Figure 1. CBCTs showing different implant cases with cortical plate perforation and/or perforation of different anatomical structures (a) Inferior alveolar nerve canal. (b) Maxillary sinus. (c) Nasal fossa. (d, e) Cortical plate. (f, g) Adjacent tooth root. (h) Inferior alveolar nerve canal with cortical plate perforation and thread exposure. (i) Buccal and palatal cortical plate perforation and thread exposure.

 

 

 

Table 2. Dental implants related anatomical perforations in relation to the anatomical location.

 

Arch

 

Anatomical Location

 

 

Maxilla

n (%)

Mandible

n (%)

P-value

Anterior

n (%)

Posterior

n (%)

P-

value

Cortical plate  perforation

Absent

Present: Buccal

Present: Palatal/Lingual

Present: Buccal + Palatal/Lingual

 

122(51.5)

46 (19.4)

14 (5.9)

55 (23.2)

 

109(53.7)

41 (20.2)

12 (5.9)

41 (20.2)

0.9

 

56 (51.4)

27 (24.8)

5 (5.0)

21 (19.3)

 

175(52.9)

60 (18.1)

21 (6.3)

75 (22.6)

0.4

Adjacent structure perforation

Yes

No

 

115(48.5)

122(51.5)

 

95 (46.6)

109(53.4)

0.7

 

9 (8.3)

100(91.7)

 

55 (16.6)

277(83.4)

0.03*

Thread exposure

Yes (≥1mm)

No

 

115(48.5)

122(51.5)

 

95 (46.6)

109(53.4)

 

0.7

 

53 (48.6)

56 (51.4)

 

157(47.3)

175(52.7)

0.8

*Statistically significant

 

 

Our sample consisted of different types of dental implants: 79 Straumann, 48 Nobel Biocare, 13 Astra Tech, 9 Zimmer Biomet, 44 Prima, and 4 Biohorizons. Based on our sample, Straumann implants were likelier to have cortical plate perforation followed by Nobel Biocare, and Prima. Regarding the perforation of adjacent anatomical structures, Straumann implants were more prevalent, followed by Nobel Biocare.

The distribution of different implant lengths showed that more than one-third (63.3%) had a length of 10 mm to less than 13 mm, while only 0.5% had a length of less than 6 mm. Over half of the implants (55.1%) had a diameter of 3.75 mm to less than 5 mm, while only 0.7% of the implants had a diameter below 3 mm (Table 1). Regarding cortical plate perforation, implant lengths≥10 mm to <13 mm were likelier to have a perforated cortical plate than other implant lengths (P=0.002), while no significant association was found related to different diameters (Table 3).

 

 

Table 3. Dental implants related anatomical perforations in relation to different dental implant categories.

 

Cortical plate perforation

P-value

Adjacent structure perforation

P-value

 

Yes

n (%)

No

n (%)

 

Yes

n (%)

No

n (%)

 

Placed at KAUFD

Yes

No

 

111 (36.5)

98 (72.1)

 

193 (63.5)

38 (27.9)

<0.0001*

 

50 (16.4)

14 (10.3)

 

255 (83.6)

122 (89.7)

0.09

Gender

Male

Female

 

67 (32.1)

142 (68.0)

 

73 (31.6)

158 (68.4)

0.9

 

23 (35.9)

41 (64.1)

 

117 (31.0)

260 (67.0)

0.4

Dentist’s Specialty

Implant Dentistry

Periodontics

Oral surgery

Prosthodontics

 

37 (30.1)

54 (43.9)

24 (19.5)

8 (6.5)

 

46 (26.9)

76 (44.4)

46 (26.9)

3 (1.75)

0.1

 

18 (36.7)

26 (53.1)

5 (10.2)

0 (0.0)

65 (26.5)

104 (42.5)

65 (26.5)

11 (4.5)

0.03*

Dentist’s experience

Consultant/specialist

Resident

 

45 (34.9)

78 (47.3)

 

84 (65.1)

87 (52.7)

0.03*

 

29 (22.5)

20 (12.1)

 

100 (77.5)

145 (87.9)

0.01*

Implant Type

Straumann

Nobel

Astra

Zimmer

Prima

Biohorizon

 

22 (31.0)

17 (23.9)

9 (12.7)

5 (7.1)

16 (22.5)

2 (2.8)

 

57 (45.2)

31 (24.6)

4 (3.2)

4 (3.2)

28 (22.2)

2 (1.6)

0.08

 

19 (40.4)

18 (38.3)

2 (4.3)

3 (6.4)

5 (10.6)

0 (0.0)

 

60 (40.0)

30 (20.0)

11 (7.3)

6 (4.0)

39 (26.0)

4 (2.7)

0.08

Radiographic guide

Yes

No

N/A

 

25 (12.0)

86 (41.2)

98 (46.9)

 

93 (40.3)

100 (43.3)

38 (16.5)

<0.0001*

 

31 (48.4)

19 (29.7)

14 (21.9)

 

88 (23.3)

167 (44.3)

122 (32.4)

0.0002*

Thread exposure

Yes

No

 

209 (100.0)

0 (0.0)

 

0 (0.0)

231 (100.0)

<0.0001*

 

26 (40.6)

38 (59.4)

 

184 (48.8)

193 (51.2)

0.2

Mesial spacing

Inadequate

Adequate
N/A

 

28 (13.4)

141 (67.5)

40 (19.1)

 

35 (15.2)

128 (55.4)

68 (29.4)

0.02*

 

11 (17.2)

38 (59.4)

15 (23.4)

 

52 (13.8)

232 (61.5)

93 (24.7)

0.8

Distal Spacing

Inadequate

Adequate
N/A

 

30 (14.4)

98 (46.9)

81 (38.8)

 

25 (10.8)

116 (50.2)

90 (38.7)

0.5

 

10 (15.6)

31 (48.4)

23 (35.9)

 

45 (11.9)

184 (48.8)

148 (39.3)

0.7

Implants length

≤ 6 mm

> 6 mm to < 10 mm

≥10 mm to < 13 mm

≥ 13 mm

 

1 (0.5)

24 (11.5)

129 (61.7)

55 (26.3)

 

1 (0.4)

48 (20.8)

149 (64.5)

33 (14.3)

0.002*

 

0 (0.0)

14 (21.9)

40 (62.5)

10 (15.6)

 

2 (0.5)

58 (15.4)

239 (63.4)

78 (20.7)

0.5

 

Implants diameter

< 3.0 mm

≥ 3.0 mm to < 3.75 mm

≥ 3.75 mm to < 5 mm

≥ 5 mm

 

3 (1.4)

38 (18.2)

118 (56.5)

50 (23.9)

 

0 (0.0)

48 (20.8)

124 (53.7)

59 (25.5)

0.3

 

0 (0.0)

13 (20.3)

39 (60.9)

12 (18.8)

 

3 (0.8)

73 (19.4)

204 (54.1)

97 (25.7)

0.6

N/A: not applicable, *statistically significant

 

 

Regarding the experience level of the practitioners, dental residents were associated with more cortical plate perforations (P=0.03), while perforation of adjacent anatomical structures was reported more among the faculty (P=0.01). According to the specialty, it was found that both cortical plate perforation and perforation of adjacent anatomical structures were more prevalent when implants were placed by periodontists followed by implant specialists (P=0.1 and P=0.03 respectively) (Table 3).

Of the 441 implants, 136 (30.8%) were placed outside KAUFD. When comparing implants placed at KAUFD vs. implants placed outside, cortical plate perforation was more frequent among implants placed outside KAUFD compared to implants placed in KAUFD (72.1% vs. 36.5%, respectively), while for adjacent structure perforation, the opposite was true (10.3% vs. 16.4%, respectively) (Table 3). More than half of the implants had thread exposure. Moreover, all dental implants with cortical plate perforation had thread exposure (Table 3).

When evaluating the horizontal distance between the implant and the adjacent tooth or implant, most implants exhibited adequate spacing with the adjacent structure, whether that was an implant or a tooth (both mesially and distally). Only 63 (14.3%) implants had inadequate mesial spacing, while 55 (12.5%) implants had inadequate distal spacing. Mesial and distal spacing were significantly inadequate when the adjacent was an implant rather than a tooth (73.0% and 90.9% respectively; P<.0001) (Table 4).

 

 

Table 4. Detailed distribution of the horizontal distancing related to dental implants.

 

Mesial spacing

P-value

Distal spacing

P-value

 

Adequate

Inadequate

Adequate

Inadequate

Tooth

169

(62.8)

17

(27.0)

<.0001*

133

(62.1)

5

(9.1)

<.0001*

Implant

100

(37.2)

46

(73.0)

81 (37.9)

50

(90.9)

Edentulous area

0

(0.0)

0

(0.0)

0

(0.0)

0

(0.0)

*Statistically significant

 

 

This study revealed that about one-seventh of the assessed dental implants (14.5%) involved perforation of the adjacent anatomical structures. The perforations in the dental implants occurred posteriorly more than anteriorly; a similar result was found in another study [11], which reported that the maxilla was associated with more anatomical perforations than the mandible; however, in our study, the results for the maxilla and mandible were similar. Our results reported that the inferior alveolar canal was the most common perforated anatomical structure, followed by the maxillary sinus. This is in contrast to previous studies that reported the maxillary sinus was the most perforated anatomical structure [11, 13].

Inferior alveolar canal perforation was reportedly associated with 14% of dental implants in one study [13], and 1.1% in another [11]. Perforation of the inferior alveolar canal is reportedly associated with a wide variety of consequences, ranging from paresthesia, or altered sensation to serious pain in the involved area [15]. This impaired sensation can lead to altered aesthetics as a result of lip ptosis and saliva drooling [16]. A treatment protocol has been proposed for the management of such perforation after dental implant placement based on the extent of the associated damage [15].

In our study, maxillary sinus perforation was less than that reported in other studies (34% and 13.3 %) [11, 13]. Complications of maxillary sinus perforation can range from mild sinusitis [17] to active localized infections involving the affected sinus [18]. Very extensive forms of infections can involve viable anatomical structures, such as the orbital cavity, cranial fossae, and paranasal sinuses [19-21]. An experimental study assessing the effect of maxillary sinus perforation by dental implants showed that this perforation did not show any undesirable effect [22]. Controversially, a systematic review and meta-analysis concluded that maxillary sinus perforation could contribute to dental implant failure [23].

Only one implant showed nasal cavity perforation. In contrast, nasal cavity perforation has reportedly been associated with 31% of dental implants in one study [13] and 4.4% in another [11]. Patient complaints from nasal cavity perforation reportedly appear later as impaired breathing and pain [24].

Cortical plate perforation was more frequent in our study than in other studies. A study revealed that 11.1% of the dental implants involved had buccal cortical plate perforation, while 2.3% of these dental implants had lingual cortical plate perforation [11]. The prevalence of lingual cortical plate perforation in dental implants upon assessing the CBCT scan was 21% in another study [13].

Perforation of the cortical plate can result in altered aesthetics, as it can lead to loss of the supporting gingival tissue around the implants due to bone loss and subsequently peri-implantitis [25]. Moreover, lingual cortical plate perforation in the mandible at the area of the submandibular fossa can cause severe life-threatening consequences, including breathing difficulties due to hematoma and profound bleeding as a result of injury to the submandibular and sublingual arteries [26, 27].

Dental implant failure can be significantly associated with narrow and short dental implants [28, 29]. Controversially, further studies showed that dental implant survival is not related to different dimensions [30, 31]. The literature lacks studies on the effect of different dental implant lengths and diameters on adjacent structures, as most studies only assessed dental implant survival or failure.

A study assessed the association of different dental implant lengths in relation to anatomical structure perforation stated that the combination of short and extra-short (≤6 mm) dental implants had a lower prevalence of perforations compared to standard (≥10 mm to <13 mm) and long (≥13 mm) implants combined [11]. Our results were consistent with the reported findings, as shorter dental implants were associated with fewer perforations of the adjacent anatomical structures.

Previous studies have linked the dental surgeon’s level of experience with the final dental implant success and failure outcomes, rather than the prevalence of adjacent anatomical perforations [32-35]. Indeed, some studies have shown that the more experienced the surgeon, the lower the risk of dental implant failure [32]. In contrast, other studies have contradicted this finding [34]. Our study investigated the prevalence of adjacent anatomical perforations among different experienced clinicians. Our sample showed that cortical plate perforation was more frequent among patients treated by dental residents; however, perforation of the adjacent anatomical structures was more prevalent among specialists/consultants. No previous studies have assessed the prevalence of anatomical perforations among different specialties. Our results revealed that anatomical perforations were more prevalent among periodontists followed by implant specialists; this could be attributed to the large number of implant cases they performed compared to other specialties, as shown in our sample.

Our results showed that more than half of the dental implants had thread exposure associated with cortical plate perforation. This finding was consistent with another study that reported a similar association in which dental implants perforating adjacent anatomical structures had a high prevalence of thread exposure [11].

Regarding horizontal distancing, a study showed that most dental implants displayed adequate distancing from the adjacent tooth or implant [11]. This is consistent with our results, which showed that horizontal distancing is likelier to be inadequate when the adjacent structure is a dental implant rather than a tooth. The proximity of dental implants can result in considerable bone loss, which can contribute to peri-implant disease and poor aesthetics. A study investigating the effect of different inter-implant distances on bone loss reported that when the inter-implant distance was ≤3 mm, an average bone loss of 1.04 mm was noted in comparison to only 0.45 mm loss of bone when the inter-implant distance was >3 mm. Their study concluded that a minimum of 3 mm of horizontal distancing between adjacent implants is recommended to prevent bone loss and maintain peri-implant health [36].

This study has a few limitations. Since the reasons for the CBCT examinations were not recorded, those CBCT examinations were likely acquired for clinical indications other than post-surgical dental implant assessment. Thus, some of the reported dental implant-related anatomical perforations could be considered incidental findings. Furthermore, the interpretation of our findings is limited due to the lack of clinical information regarding the patient's signs and symptoms, surgical complications during dental implants, and the use of bone augmentation procedures. Moreover, some patients possibly had presurgical CBCT for implant planning outside KAUFD. In addition, our results might be subjected to sample bias due to the over-representation of some implant categories compared to others.

Despite these limitations, our findings demonstrate the importance of a thorough assessment of the anatomical structures of the implant site, its variations, and any potential risk factors using CBCT. Additionally, our study highlights the significance of utilizing recent advances in digital implant treatment planning, such as virtual implant planning and fully guided implant surgery, as these may result in more precise placement of the dental implant in the desired location [37].

Conclusion

Dental implant-related anatomical structure perforations occur more frequently in the posterior area, with the inferior alveolar nerve canal being the most involved anatomical structure, followed by the maxillary sinus. In our study, cortical plate perforation was common. Thorough preoperative implant planning using CBCT is crucial to ensure proper assessment and planning and to properly guide the surgical implant placement while considering prosthetic and anatomic factors.

References

1.       Buser D, Janner SF, Wittneben JG, Brägger U, Ramseier CA, Salvi GE. 10-year survival and success rates of 511 titanium implants with a sandblasted and acid-etched surface: a retrospective study in 303 partially edentulous patients. Clin Implant Dent Relat Res. 2012;14(6):839-51. doi:10.1111/j.1708-8208.2012.00456.x

2.       Clark D, Levin L. Dental implant management and maintenance: How to improve long-term implant success? Quintessence Int. 2016;47(5):417-23. doi:10.3290/j.qi.a35870

3.       Grisar K, Sinha D, Schoenaers J, Dormaar T, Politis C. Retrospective Analysis of Dental Implants Placed Between 2012 and 2014: Indications, Risk Factors, and Early Survival. Int J Oral Maxillofac Implants. 2017;32(3):649-54. doi:10.11607/jomi.5332

4.       Misch K, Wang HL. Implant surgery complications: etiology and treatment. Implant Dent. 2008;17(2):159-68. doi:10.1097/ID.0b013e3181752f61

5.       Flanagan D. Delayed onset of altered sensation following dental implant placement and mental block local anesthesia: a case report. Implant Dent. 2002;11(4):324-30. doi:10.1097/00008505-200211040-00010

6.       Sussman HI. Tooth devitalization via implant placement: a case report. Periodontal Clin Investig. 1998;20(1):22-4.

7.       Bornstein MM, Scarfe WC, Vaughn VM, Jacobs R. Cone beam computed tomography in implant dentistry: a systematic review focusing on guidelines, indications, and radiation dose risks. Int J Oral Maxillofac Implants. 2014;29:55-77. doi:10.11607/jomi.2014suppl.g1.4

8.       Haiderali Z. The role of CBCT in implant dentistry: uses, benefits, and limitations. Br Dent J. 2020;228(7):560-1.

9.       Harris D, Horner K, Gröndahl K, Jacobs R, Helmrot E, Benic GI, et al. E.A.O. guidelines for the use of diagnostic imaging in implant dentistry 2011. A consensus workshop organized by the European Association for Osseointegration at the Medical University of Warsaw. Clin Oral Implants Res. 2012;23(11):1243-53. doi:10.1111/j.1600-0501.2012.02441.x

10.    Tyndall DA, Price JB, Tetradis S, Ganz SD, Hildebolt C, Scarfe WC. American Academy of Oral and Maxillofacial Radiology. Position statement of the American Academy of Oral and Maxillofacial Radiology on selection criteria for the use of radiology in dental implantology with emphasis on cone beam computed tomography. Oral Surg Oral Med Oral Pathol Oral Radiol. 2012;113(6):817-26. doi:10.1016/j.oooo.2012.03.005

11.    Gaêta-Araujo H, Oliveira-Santos N, Mancini AXM, Oliveira ML, Oliveira-Santos C. Retrospective assessment of dental implant-related perforations of relevant anatomical structures and inadequate spacing between implants/teeth using cone-beam computed tomography. Clin Oral Investig. 2020;24(9):3281-8. doi:10.1007/s00784-020-03205-8

12.    Al-Johany SS, Al Amri MD, Alsaeed S, Alalola B. Dental Implant Length and Diameter: A Proposed Classification Scheme. J Prosthodont. 2017;26(3):252-60. doi:10.1111/jopr.12517

13.    Clark D, Barbu H, Lorean A, Mijiritsky E, Levin L. Incidental findings of implant complications on postimplantation CBCTs: A cross-sectional study. Clin Implant Dent Relat Res. 2017;19(5):776-82. doi:10.1111/cid.12511

14.    Krejcie RV, Morgan DW. Determining Sample Size for Research Activities. Educ Psychol Meas. 1970;30(3):607-10.

15.    Misch CE, Resnik R. Mandibular nerve neurosensory impairment after dental implant surgery: management and protocol. Implant Dent. 2010;19(5):378-86. doi:10.1097/ID.0b013e3181effa92

16.    Galli M, Barausse C, Masi I, Falisi G, Baffone M, Tuci L, et al. Inferior alveolar nerve laceration after implant site preparation: A case report. Eur J Oral Implantol. 2015;8(3):293-6.

17.    Starch-Jensen T, Jensen JD. Maxillary Sinus Floor Augmentation: a Review of Selected Treatment Modalities. J Oral Maxillofac Res. 2017;8(3):e3. doi:10.5037/jomr.2017.8303

18.    Jensen SS, Terheyden H. Bone augmentation procedures in localized defects in the alveolar ridge: clinical results with different bone grafts and bone-substitute materials. Int J Oral Maxillofac Implants. 2009;24 Suppl:218-36.

19.    Quiney RE, Brimble E, Hodge M. Maxillary sinusitis from dental osseointegrated implants. J Laryngol Otol. 1990;104(4):333-4. doi:10.1017/s0022215100112630

20.    Timmenga NM, Raghoebar GM, van Weissenbruch R, Vissink A. Maxillary sinusitis after augmentation of the maxillary sinus floor: a report of 2 cases. J Oral Maxillofac Surg. 2001;59(2):200-4. doi:10.1053/joms.2001.20494

21.    Alkan A, Celebi N, Baş B. Acute maxillary sinusitis associated with internal sinus lifting: report of a case. Eur J Dent. 2008;2(1):69-72.

22.    Elhamruni LM, Marzook HA, Ahmed WM, Abdul-Rahman M. Experimental study on penetration of dental implants into the maxillary sinus at different depths. Oral Maxillofac Surg. 2016;20(3):281-7. doi:10.1007/s10006-016-0568-z

23.    Al-Moraissi E, Elsharkawy A, Abotaleb B, Alkebsi K, Al-Motwakel H. Does intraoperative perforation of Schneiderian membrane during sinus lift surgery causes an increased the risk of implants failure?: A systematic review and meta-regression analysis. Clin Implant Dent Relat Res. 2018;20(5):882-9. doi:10.1111/cid.12660

24.    Wolff J, Karagozoglu KH, Bretschneider JH, Forouzanfar T, Schulten EA. Altered nasal airflow: an unusual complication following implant surgery in the anterior maxilla. Int J Implant Dent. 2016;2(1):6. doi:10.1186/s40729-016-0045-3

25.    de-Azevedo-Vaz SL, Peyneau PD, Ramirez-Sotelo LR, Vasconcelos Kde F, Campos PS, Haiter-Neto F. Efficacy of a cone beam computed tomography metal artifact reduction algorithm for the detection of peri-implant fenestrations and dehiscences. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016;121(5):550-6. doi:10.1016/j.oooo.2016.01.013

26.    Law C, Alam P, Borumandi F. Floor-of-Mouth Hematoma Following Dental Implant Placement: Literature Review and Case Presentation. J Oral Maxillofac Surg. 2017;75(11):2340-6. doi:10.1016/j.joms.2017.07.152

27.    Chan HL, Benavides E, Yeh CY, Fu JH, Rudek IE, Wang HL. Risk assessment of lingual plate perforation in posterior mandibular region: a virtual implant placement study using cone-beam computed tomography. J Periodontol. 2011;82(1):129-35. doi:10.1902/jop.2010.100313

28.    Prasant MC, Thukral R, Kumar S, Sadrani SM, Baxi H, Shah A. Assessment of Various Risk Factors for Success of Delayed and Immediate Loaded Dental Implants: A Retrospective Analysis. J Contemp Dent Pract. 2016;17(10):853-6. doi:10.5005/jp-journals-10024-1943

29.    Chrcanovic BR, Albrektsson T, Wennerberg A. Reasons for failures of oral implants. J Oral Rehabil. 2014;41(6):443-76. doi:10.1111/joor.12157

30.    Javed F, Romanos GE. Role of implant diameter on long-term survival of dental implants placed in posterior maxilla: a systematic review. Clin Oral Investig. 2015;19(1):1-10. doi:10.1007/s00784-014-1333-z

31.    Tolentino da Rosa de Souza P, Binhame Albini Martini M, Reis Azevedo-Alanis L. Do short implants have similar survival rates compared to standard implants in posterior single crown?: A systematic review and meta-analysis. Clin Implant Dent Relat Res. 2018;20(5):890-901. doi:10.1111/cid.12634

32.    Lambert PM, Morris HF, Ochi S. Positive effect of surgical experience with implants on second-stage implant survival. J Oral Maxillofac Surg. 1997;55(12 Suppl 5):12-8. doi:10.1016/s0278-2391(16)31192-2

33.    Ji TJ, Kan JY, Rungcharassaeng K, Roe P, Lozada JL. Immediate loading of maxillary and mandibular implant-supported fixed complete dentures: a 1- to 10-year retrospective study. J Oral Implantol. 2012;38(S1):469-76. doi:10.1563/AAID-JOI-D-11-00027

34.    Melo MD, Shafie H, Obeid G. Implant survival rates for oral and maxillofacial surgery residents: a retrospective clinical review with analysis of resident level of training on implant survival. J Oral Maxillofac Surg. 2006;64(8):1185-9. doi:10.1016/j.joms.2006.04.014

35.    Kohavi D, Azran G, Shapira L, Casap N. Retrospective clinical review of dental implants placed in a university training program. J Oral Implantol. 2004;30(1):23-9. doi:10.1563/1548-1336(2004)030<0023:RCRODI>2.0.CO;2

36.    Tarnow DP, Cho SC, Wallace SS. The effect of inter-implant distance on the height of inter-implant bone crest. J Periodontol. 2000;71(4):546-9. doi:10.1902/jop.2000.71.4.546

37.    Wismeijer D, Joda T, Flügge T, Fokas G, Tahmaseb A, Bechelli D, et al. Group 5 ITI Consensus Report: Digital technologies. Clin Oral Implants Res. 2018;29 Suppl 16:436-42. doi:10.1111/clr.13309


Issue 2 Volume 12 - 2024