Marie Sophie Katz, Mark Ooms, Marius Heitzer, Anna Bock, Nils Vohl, Kristian Kniha, Frank Hölzle, Ali Modabber
{"title":"下颌微血管重建后患者种植体周围健康和灌注参数：一项临床队列研究","authors":"Marie Sophie Katz, Mark Ooms, Marius Heitzer, Anna Bock, Nils Vohl, Kristian Kniha, Frank Hölzle, Ali Modabber","doi":"10.1111/cid.70012","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>The aim of this study was to evaluate perfusion parameters and clinical features of healthy implants and implants affected by peri-implant disease in patients who had undergone microvascular jaw reconstruction.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A total of 25 patients with 92 implants placed in microvascular transplants were included. Of these, 68 implants showed healthy peri-implant tissue, 12 were affected by peri-implant mucositis, and 12 were diagnosed with peri-implantitis. Peri-implant perfusion was measured mesially and distally at the implant shoulder using laser Doppler flowmetry and tissue spectrophotometry (LDF-TS), followed by a clinical evaluation, including measurement of probing depths, bleeding on probing (BOP), plaque index, biotype, type of implant, the restoration and the presence of keratinized tissue. Perfusion parameters were compared between the healthy implants and the implants with peri-implant disease based on the conventional BOP–based diagnosis of peri-implantitis, and the associations between the perfusion values and clinical measurements were analyzed. Optimal cut-off values for predicting peri-implantitis were calculated with receiver operating characteristics.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The mean relative amount of hemoglobin and mean blood flow were significantly different between healthy implants and implants with peri-implant mucositis and peri-implantitis (<i>p</i> = 0.003 and <i>p</i> = 0.002, respectively). However, there are interindividual differences that appear to influence blood flow values as well. When a linear mixed regression model was applied, including the patient as a random variable, the difference in blood flow was no longer statistically significant (<i>p</i> = 0.400). Still, the optimal cut-off value of mean blood flow for predicting peri-implantitis was determined to be > 46.5 AU (AUC = 0.788; <i>p</i> < 0.001; CI = 0.695–0.881; sensitivity = 1.00, specificity = 0.60).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Implants in microvascular flaps are particularly vulnerable to peri-implant disease. Risk factors are the lack of keratinized peri-implant tissue, fixed restorations, bone-level implants, and high plaque levels.</p>\n \n <p>As a noninvasive and objective method, LDF-TS can contribute to risk assessment by evaluating perfusion parameters and help detect the early onset of peri-implant disease.</p>\n </section>\n </div>","PeriodicalId":50679,"journal":{"name":"Clinical Implant Dentistry and Related Research","volume":"27 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cid.70012","citationCount":"0","resultStr":"{\"title\":\"Peri-Implant Health and Perfusion Parameters in Patients After Microvascular Jaw Reconstruction: A Clinical Cohort Study\",\"authors\":\"Marie Sophie Katz, Mark Ooms, Marius Heitzer, Anna Bock, Nils Vohl, Kristian Kniha, Frank Hölzle, Ali Modabber\",\"doi\":\"10.1111/cid.70012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Introduction</h3>\\n \\n <p>The aim of this study was to evaluate perfusion parameters and clinical features of healthy implants and implants affected by peri-implant disease in patients who had undergone microvascular jaw reconstruction.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A total of 25 patients with 92 implants placed in microvascular transplants were included. Of these, 68 implants showed healthy peri-implant tissue, 12 were affected by peri-implant mucositis, and 12 were diagnosed with peri-implantitis. Peri-implant perfusion was measured mesially and distally at the implant shoulder using laser Doppler flowmetry and tissue spectrophotometry (LDF-TS), followed by a clinical evaluation, including measurement of probing depths, bleeding on probing (BOP), plaque index, biotype, type of implant, the restoration and the presence of keratinized tissue. Perfusion parameters were compared between the healthy implants and the implants with peri-implant disease based on the conventional BOP–based diagnosis of peri-implantitis, and the associations between the perfusion values and clinical measurements were analyzed. Optimal cut-off values for predicting peri-implantitis were calculated with receiver operating characteristics.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The mean relative amount of hemoglobin and mean blood flow were significantly different between healthy implants and implants with peri-implant mucositis and peri-implantitis (<i>p</i> = 0.003 and <i>p</i> = 0.002, respectively). However, there are interindividual differences that appear to influence blood flow values as well. When a linear mixed regression model was applied, including the patient as a random variable, the difference in blood flow was no longer statistically significant (<i>p</i> = 0.400). Still, the optimal cut-off value of mean blood flow for predicting peri-implantitis was determined to be > 46.5 AU (AUC = 0.788; <i>p</i> < 0.001; CI = 0.695–0.881; sensitivity = 1.00, specificity = 0.60).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Implants in microvascular flaps are particularly vulnerable to peri-implant disease. 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Peri-Implant Health and Perfusion Parameters in Patients After Microvascular Jaw Reconstruction: A Clinical Cohort Study
Introduction
The aim of this study was to evaluate perfusion parameters and clinical features of healthy implants and implants affected by peri-implant disease in patients who had undergone microvascular jaw reconstruction.
Methods
A total of 25 patients with 92 implants placed in microvascular transplants were included. Of these, 68 implants showed healthy peri-implant tissue, 12 were affected by peri-implant mucositis, and 12 were diagnosed with peri-implantitis. Peri-implant perfusion was measured mesially and distally at the implant shoulder using laser Doppler flowmetry and tissue spectrophotometry (LDF-TS), followed by a clinical evaluation, including measurement of probing depths, bleeding on probing (BOP), plaque index, biotype, type of implant, the restoration and the presence of keratinized tissue. Perfusion parameters were compared between the healthy implants and the implants with peri-implant disease based on the conventional BOP–based diagnosis of peri-implantitis, and the associations between the perfusion values and clinical measurements were analyzed. Optimal cut-off values for predicting peri-implantitis were calculated with receiver operating characteristics.
Results
The mean relative amount of hemoglobin and mean blood flow were significantly different between healthy implants and implants with peri-implant mucositis and peri-implantitis (p = 0.003 and p = 0.002, respectively). However, there are interindividual differences that appear to influence blood flow values as well. When a linear mixed regression model was applied, including the patient as a random variable, the difference in blood flow was no longer statistically significant (p = 0.400). Still, the optimal cut-off value of mean blood flow for predicting peri-implantitis was determined to be > 46.5 AU (AUC = 0.788; p < 0.001; CI = 0.695–0.881; sensitivity = 1.00, specificity = 0.60).
Conclusion
Implants in microvascular flaps are particularly vulnerable to peri-implant disease. Risk factors are the lack of keratinized peri-implant tissue, fixed restorations, bone-level implants, and high plaque levels.
As a noninvasive and objective method, LDF-TS can contribute to risk assessment by evaluating perfusion parameters and help detect the early onset of peri-implant disease.
期刊介绍：
The goal of Clinical Implant Dentistry and Related Research is to advance the scientific and technical aspects relating to dental implants and related scientific subjects. Dissemination of new and evolving information related to dental implants and the related science is the primary goal of our journal.
The range of topics covered by the journals will include but be not limited to:
New scientific developments relating to bone
Implant surfaces and their relationship to the surrounding tissues
Computer aided implant designs
Computer aided prosthetic designs
Immediate implant loading
Immediate implant placement
Materials relating to bone induction and conduction
New surgical methods relating to implant placement
New materials and methods relating to implant restorations
Methods for determining implant stability
A primary focus of the journal is publication of evidenced based articles evaluating to new dental implants, techniques and multicenter studies evaluating these treatments. In addition basic science research relating to wound healing and osseointegration will be an important focus for the journal.
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