Squamous cell carcinoma around a subperiosteal implant in the maxilla and the association of chronic mechanical irritation and peri-implantitis: a case report

Breast Implants and the Risk of Squamous Cell Carcinoma of the Breast: A Systematic Literature Review and Epidemiologic Study

Squamous cell carcinoma may arise primarily from the breast parenchyma (PSCCB) or from the periprosthetic capsule in patients with breast implants (breast implant-associated squamous cell carcinoma [BIA-SCC]). A systematic literature review was performed to identify all PSCCB and BIA-SCC cases, and to estimate prevalence, incidence rate (IR), and risk. Studies up to November 2023 were searched on PubMed, Web of Science, Google Scholar, and Cochrane Library for predefined keywords. The numerator for PSCCB and BIA-SCC was the number of cases obtained from the literature; the denominator for PSCCB was the female population aged from 18 to 99, and the denominator for BIA-SCC was the population with breast implants. Overall, 219 papers were included, featuring 2250 PSCCB and 30 BIA-SCC cases. PSCCB prevalence was 2.0 per 100,000 (95% CI, 0.2:100,000 to 7.2:100,000) individuals, with a lifetime risk of 1:49,509 (95% CI, 0.2:10,000 to 5.6:10,000); and BIA-SCC prevalence was 0.61 per 100,000 (95% CI, 0.2:100,000 to 1.3:100,000), with a lifetime risk of 1:164,884 (95% CI, 0.2:100,000 to 5.6:100,000). The prevalence of BIA-SCC is 3.33 times lower than that of PSCCB, while the prevalence of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is 3.84 times higher than that of primary breast ALCL. When comparing the BIA-SCC prevalence of 1:164,910 individuals with breast implants regardless of texture to the BIA-ALCL prevalence of 1:914 patients with textured implants, the BIA-SCC risk is 180 times lower than the BIA-ALCL risk. BIA-SCC occurs less frequently than PSCCB and considerably less than BIA-ALCL. The association between textured implants and BIA-SCC cases is relevant for patient education regarding uncommon and rare risks associated with breast implants, and ongoing vigilance, research, and strengthened reporting systems remain imperative.

Subperiosteal implants constructed with digital technology: A systematic review

STATEMENT OF PROBLEM

Atrophied jaw is a condition where there is insufficient bone quantity and quality. Several treatment plans are available for treating atrophied jaws, including subperiosteal implants.

PURPOSE

To evaluate the spectrum of subperiosteal implants for severely atrophied jaws using digital technology.

MATERIALS AND METHODS

An electronic and manual search was conducted in the PubMed, Scopus, and Google Scholar databases. Publications of cohort studies, case series, and case reports written in English without data restrictions that reported on subperiosteal implant management of patients with severely atrophied jaws in a completely and partially edentulous population.

RESULTS

A total of 26 articles, comprising 302 cases, were analyzed. In patients with severely atrophied jaws. The success rate was 87.7%, the surviving rate was 95.3%. The most common complications were biological, such as dehiscence and framework exposure. The rates of biologic complications were 11.5%, and the rates of prosthetic problems were 5.9%.

CONCLUSIONS

Subperiosteal implants designed and constructed using digital technology are a promising treatment in the short term. Attention should be directed to decrease the biological complication. Correct designing, implanting, fixing, and patient selection and maintenance are critical for the success of the treatment. Longer prospective studies with larger population are needed to view the effect on hard and soft tissue.

Development and applications of peri-implantitis mouse models

OBJECTIVE

Peri-implantitis is one of the most common complications of implants. However, its pathogenesis has not been clarified. In recent years, mouse models are gradually being used in the study of peri-implantitis. This review aims to summarize the methods used to induce peri-implantitis in mice and their current applications.

METHOD

Articles of peri-implantitis mouse models were collected. We analyzed the various methods of inducing peri-implantitis and their application in different areas.

RESULTS

Most researchers have induced peri-implantitis by silk ligatures. Some others have induced peri-implantitis by Pg gavage and LPS injection. Current applications of peri-implantitis mouse models are in the following areas: investigation of pathogenesis and exploration of new interventions, comparison of peri-implantitis with periodontitis, the interaction between systemic diseases and peri-implantitis, etc. CONCLUSION: Silk ligature for 2-4 weeks, Pg gavage for 6 weeks, and LPS injection for 6 weeks all successfully induced peri-implantitis in mice. Mice have the advantages of mature gene editing technology, low cost, and short time to induce peri-implantitis. It has applications in the study of pathogenesis, non-surgical treatments, and interactions with other diseases. However, compared with large animals, mice also have a number of disadvantages that limit their application.

Outcomes and influencing factors of dental implants in fibula, iliac crest, and scapula free flaps: a retrospective case-control study

PURPOSE

Reconstruction with vascularized bone grafts after ablative surgery and subsequent dental rehabilitation with implants is often challenging; however, it helps improve the patient's quality of life. This retrospective case-control study aimed to determine the implant survival/success rates in different vascularized bone grafts and potential risk factors.

METHODS

Only patients who received implants in free vascularized bone grafts between 2012 and 2020 were included. The free flap donor sites were the fibula, iliac crest, and scapula. The prosthetic restoration had to be completed, and the observation period had to be over one year after implantation. Implant success was defined according to the Health Scale for Dental Implants criteria.

RESULTS

Sixty-two patients with 227 implants were included. The implant survival rate was 86.3% after an average of 48.7 months. The causes of implant loss were peri-implantitis (n = 24), insufficient osseointegration (n = 1), removal due to tumor recurrence (n = 1), and osteoradionecrosis (n = 5). Of all implants, 52.4% were classified as successful, 19.8% as compromised, and 27.8% as failed. Removal of osteosynthesis material prior to or concurrent with implant placement resulted in significantly better implant success than material not removed (p = 0.035). Localization of the graft in the mandibular region was associated with a significantly better implant survival (p = 0.034) and success (p = 0.002), also a higher Karnofsky Performance Status Scale score with better implant survival (p = 0.014).

CONCLUSION

Implants placed in vascularized grafts showed acceptable survival rates despite the potential risk factors often present in these patient groups. However, peri-implantitis remains a challenge.

Clinical retrospective analysis of peri-implant oral malignancies

PURPOSE

Complications of implant prostheses have direct correlation with the increased use of implants for dental rehabilitation. In this study, we present cases of peri-implant oral malignancies (PIOM) around dental implants and a retrospective analysis of patients treated for PIOM.

METHODS

The retrospective analysis was performed with patients treated for PIOM at the Department of Oral and Maxillofacial Surgery of the Seoul National University Dental Hospital between 2006 and 2014. The patient records were thoroughly screened for previous medical issues, human papilloma virus infections, and other clinical data with a focus on relevant information such as localization, time from implant insertion to the development of the carcinoma, implant type and prosthetic rehabilitation.

RESULTS

Twenty-one patients were diagnosed with PIOM. The male-to-female ratio was 1.625. The mean age of the patients was 60.42 ± 9.35 years old. Three patients reported ongoing alcohol/tobacco consumption. Five patients had a history of previous oral cancer surgery or exhibited mucosal lesions. The time from implant placement until carcinoma diagnosis was 49.13 ± 33.63 months on average. Most PIOM patients (95.2%) were diagnosed with SCC. All patients had previously been treated for peri-implantitis. In 85.7% of the patients, prostheses were observed on the opposing teeth where PIOM occurred.

CONCLUSION

Based on the review of these cases, it can be deduced that there is a possibility that implant treatment and galvanic currents between prosthesis may constitute an irritant and/or inflammatory cofactor which contributes to the formation and/or development of malignant tumors. Patients at potential risk may benefit from individualized recall intervals and careful evaluations.

Polyetheretherketone subperiosteal implant retaining a maxillary fixed prosthesis: A case series

STATEMENT OF PROBLEM

Patients needing dental rehabilitation of a complete atrophic maxilla would benefit from simplified treatment plans.

PURPOSE

The purpose of this case series was to demonstrate the prosthetic management of 4 edentulous patients with severe maxillary ridge resorption who declined multiple stage surgery and sought a fixed prosthesis in single-stage surgery.

MATERIAL AND METHODS

The patients were provided with completely digital computer-aided designed and computer-aided manufactured (CAD-CAM) polyetheretherketone (PEEK) maxillary subperiosteal frameworks, which were surgically placed in a 1-step procedure. The patients were followed up for 12 months and evaluated for signs of implant rejection, infection, prosthetic fracture or mobility, or implant exposure.

RESULTS

At the 12-month follow-up, all the implants were functionally stable with healthy soft tissue and showed no sign of prosthetic fracture, infection, or pus discharge.

CONCLUSIONS

PEEK subperiosteal implants for maxillary atrophied ridges can be considered a promising treatment option within the limitations of this clinical study with low patient numbers and a short observational time.