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العنوان
Marginal discrepancy and internal fit assessment of interim restoration constructed by 3D printing versus CAD/CAM technique :
الناشر
Ahmed Kamal Dief ,
المؤلف
Ahmed Kamal Dief
هيئة الاعداد
باحث / Ahmed Kamal Dief
مشرف / Omaima EL-Mahallawi
مشرف / Iman Salah
باحث / Ahmed Kamal Dief
تاريخ النشر
2019
عدد الصفحات
117 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Periodontics
تاريخ الإجازة
5/8/2019
مكان الإجازة
جامعة القاهرة - كلية الهندسة - Fixed Prosthodontics
الفهرس
Only 14 pages are availabe for public view

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Abstract

Statement of problem: The CAD/CAM technique is expensive, large amount of material is wasted and cracks are introduced due to milling while 3D printing allows us to produce complex shapes and rounded angles using less material than milling a block so introducing cheaper interim restorations and at the same time develop the design rapidly. But, it must be assessed if it has more accurate marginal adaptation and internal fit than CAD/CAM as it is correlated to restoration quality and longevity. Purpose: The aim was to determine if marginal discrepancy and internal fit of interim restorations were better by additive 3D printing or subtractive milling technique. Materials and method: A total of sixteen samples (eight in each group) were used in the present study. group (I): included eight crowns (n=8) fabricated by CAD/CAM (control). group (II): included eight crowns (n=8) fabricated by 3D printing (Intervention). The same STL file was used for both milled and printed group. Result: It was found that milled group recorded higher marginal gap mean value (40.78 ± 1.03 æm) than 3D printed group mean value (36.45 ± 2.35 æm).There was statistically significant difference between both groups as indicated by two-way ANOVA test (p=<0.0001< 0.05). While regarding internal fit, It was found that 3D printed group recorded higher internal gap mean value (67.33 ± 1.14 æm) than milled group mean value (61.64 ± 11.39 æm). There was statistically non-significant difference between both groups as indicated by two-way ANOVA test (p=0.1988 > 0.05)