Clinical study of the relationship between implant stability measurements using Periotest and Osstell mentor and bone quality assessment

2012 ◽  
Vol 113 (3) ◽  
pp. e35-e40 ◽  
Author(s):  
Ji-Su Oh ◽  
Su-Gwan Kim
Keyword(s):  
Clinical Study ◽  
Quality Assessment ◽  
Bone Quality ◽  
Implant Stability ◽  
The Relationship ◽  
Stability Measurements

The relationship between implant stability quotient values and implant insertion variables: a clinical study

2011 ◽  
Vol 39 (2) ◽  
pp. 151-159 ◽  
Author(s):  
K.-J. PARK ◽  
J.-Y. KWON ◽  
S.-K. KIM ◽  
S.-J. HEO ◽  
J.-Y. KOAK ◽  
...  
Keyword(s):  
Clinical Study ◽  
Implant Stability ◽  
Implant Stability Quotient ◽  
The Relationship

Early Detection of Alterations in the Resonance Frequency Assessment of Oral Implant Stability on Various Bone Types: A Clinical Study

2011 ◽  
Vol 37 (4) ◽  
pp. 411-419 ◽  
Author(s):  
Metin Şençimen ◽  
Aydın Gülses ◽  
Jülide Özen ◽  
Cem Dergin ◽  
Kemal Murat Okçu ◽  
...  
Keyword(s):  
Clinical Study ◽  
Bone Density ◽  
Bone Quality ◽  
Statistical Significance ◽  
Implant Stability ◽  
Recipient Site ◽  
Mean Values ◽  
Implant Stability Quotient ◽  
Oral Implant ◽  
The Mean

Abstract This study was undertaken to evaluate the relation between bone quality and alterations of implant stability quotient values measured during the initial phase of healing. Nineteen patients treated with 106 implants were included in the current study. The mean bone density of the implant recipient area was measured using Simplant 11 software incorporated in the computerized tomography (CT) machine. Mean bone density measurements were recorded in Hounsfield units. The implant recipient sites were subdivided into 5 groups according to bone quality. The numbers of the structures on the recipient site belonging to D1 and D5 types showed no statistical significance and were excluded. Standard 2-stage surgical technique was utilized to prepare the surgical sites. The implant stability quotient (ISQ) value at implant placement was recorded and did not influence the treatment procedure. The ISQ was measured by an Osstell instrument. The ISQ was further registered on the 21st and 60th days. SPSS statistical software was used for the statistical analysis. In comparison with the time of insertion, the mean values of the ISQ were decreasing for the first 21 days. However, on subsequent days, the ISQ values of all bone types have increased and on the 60th day reached the values recorded at the time of insertion. Analysis of the relation between changes in stability and bone type does not reveal statistical significance. With knowledge of the current clinical study, it can be concluded that bone quality in the recipient bone site does not effect changes in implant stability at the early stages of the osseointegration process.

scholarly journals A clinical study of alveolar bone quality using the fractal dimension and the implant stability quotient

2010 ◽  
Vol 40 (1) ◽  
pp. 19 ◽  
Author(s):  
Dae-Hyun Lee ◽  
Young Ku ◽  
In-Chul Rhyu ◽  
Jeong-Ug Hong ◽  
Cheol-Woo Lee ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Clinical Study ◽  
Bone Quality ◽  
Alveolar Bone ◽  
Implant Stability ◽  
Implant Stability Quotient

scholarly journals A biomechanical assessment of the relation between the oral implant stability at insertion and subjective bone quality assessment

2007 ◽  
Vol 34 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Ghada Alsaadi ◽  
Marc Quirynen ◽  
Katleen Michiels ◽  
Reinhilde Jacobs ◽  
Daniel van Steenberghe
Keyword(s):  
Quality Assessment ◽  
Bone Quality ◽  
Implant Stability ◽  
Biomechanical Assessment ◽  
Oral Implant

scholarly journals A Student’s Guide to the Classification and Operationalization of Variables in the Conceptualization and Design of a Clinical Study: Part 1

2021 ◽  
Vol 43 (2) ◽  
pp. 177-179 ◽  
Author(s):  
Chittaranjan Andrade
Keyword(s):  
Clinical Study ◽  
Significant Relationship ◽  
Research Experience ◽  
Process Variables ◽  
Know How ◽  
Independent Variables ◽  
Cause And Effect ◽  
Confounding Variables ◽  
Dependent Variables ◽  
The Relationship

Students without prior research experience may not know how to conceptualize and design a study. This article explains how an understanding of the classification and operationalization of variables is the key to the process. Variables describe aspects of the sample that is under study; they are so called because they vary in value from subject to subject in the sample. Variables may be independent or dependent. Independent variables influence the value of other variables; dependent variables are influenced in value by other variables. A hypothesis states an expected relationship between variables. A significant relationship between an independent and dependent variable does not prove cause and effect; the relationship may partly or wholly be explained by one or more confounding variables. Variables need to be operationalized; that is, defined in a way that permits their accurate measurement. These and other concepts are explained with the help of clinically relevant examples.

scholarly journals A Clinical Study of the Relationship between Obesity and Pubertal Development in Girls

2012 ◽  
Vol 15 (3) ◽  
pp. 175
Author(s):  
Hui Kwon Kim ◽  
Jong Yoon Lee ◽  
Eun Ju Bae ◽  
Won Il Park ◽  
Hong Jin Lee ◽  
...  
Keyword(s):  
Clinical Study ◽  
Pubertal Development ◽  
The Relationship

scholarly journals Preliminary Clinical Study to Evaluate the Relationship between Systemic Bone Turnover and the Microstructure of the Alveolar Bone

2009 ◽  
Vol 6 (1) ◽  
pp. 27-35 ◽  
Author(s):  
Ryuichi Arisaka ◽  
Akira Matsuo ◽  
Hiroshige Chiba ◽  
Hidetoshi Takahashi ◽  
Sawako Takeuchi ◽  
...  
Keyword(s):  
Clinical Study ◽  
Bone Turnover ◽  
Alveolar Bone ◽  
The Relationship
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