The Relationship between Implant Size and Success Rate in Computer Guided Implant Surgery

Guided implant surgery gained acceptance and credit in implant dentistry. The aim of this study is to find out and evaluate the relationship between implant size and success rate following computed tomography scan guided implant surgery. Sixty-four (36 females, 28 males) completely and partially edentulous patients aged between 42 and 65 years old were participated and fulfilled the inclusion criteria of the study. Two hundred and seventeen dental implants (length: 10, 11.5, and 13 mm; Diameter: 3.3, 3.75, and 4.2 mm) were placed using computed tomography scan guided implant surgery, 117 implants were placed in the maxilla, while 100 implants were placed in the mandible. The implants were evaluated for clinical parameters at 2, 4, and 12 weeks intervals after installation. The overall success rate was 95.4%. Clinical stability of the implant size (Diameter 3.3 mm, Length 10 mm) was the least as compared to other dimensions (P ≤ 0.05). Medium and large size implants (Diameter 3.75 and 4.2 mm, Length 11.5 and 13 mm) were the highest success rate in implant surgery. Implants width (diameter 3.3 mm) and length (10 mm) are best avoided in guided computed tomography surgery as compared with other implant sizes especially in atrophic bony areas. Computer-guided implant surgery remains exciting. Watchful planning and precise stability of the surgical guide are mandatory for successful protocol. Further investigations should be performed to assess such technique among dental patients from satisfactory point of view. Intensive cooperation between dentists and software engineering discipline should be aimed to maximize the success of such technique.The authors would like to thank Dr Haitham Al-Alami and Prof. Mahmoud Al-Omiri for their kind contribution in this study

Relationship between dental impacts on daily living, satisfaction with the dentition and personality profiles among a Palestinian population

The aim of this study was to investigate the relationship between dental impacts on patients' daily living, satisfaction with the dentition and personality profiles. Fifty-two patients (22 males and 30 females; mean age 22.7 +/- 5.5 years) were recruited for this study. A "dental impact on daily living" (DIDL) questionnaire was used to assess patients' satisfaction with their dentition and impacts on daily living. The NEO five factor inventory (NEO-FFI) was used to assess personality profiles. The dentition had measurable impacts on daily living as well as satisfaction with appearance, pain levels, oral comfort, general performance, and eating capability (p < 0.001). Older patients were more totally satisfied (p = 0.014), more satisfied with appearance (p = 0.034), and less satisfied with general performance (p = 0.024). Older patients had higher Conscientiousness scores (p = 0.001) and lower Openness scores (0.018). Females were more satisfied with eating (p < 0.001). Significant correlations were established between neuroticism and total DIDL scores (p = 0.006). Extraversion had significant correlations with total satisfaction (p < 0.001) as well as satisfaction with appearance (p = 0.047) and oral comfort (p = 0.008). Significant correlations were also established between openness and satisfaction with general performance (p < 0.001), between Agreeableness and satisfaction with eating (p = 0.001), and between Conscientiousness and total satisfaction (p = 0.001), satisfaction with pain (p = 0.004), and satisfaction with oral comfort (p = 0.043). The status of the oral cavity might impact on patients' daily living and satisfaction with the dentition. Patients' satisfaction with their dentition has definitive impacts on daily living and dental perceptions. Personality profiles (neuroticism; extraversion; openness; agreeableness and conscientiousness) may influence dental perceptions; play a significant role in shaping satisfaction with dentition, and help with prediction of dental impacts on daily living. Patient satisfaction and psychological profiles should be considered when formulating a treatment plan in order to achieve patient acceptance of the offered treatment