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Base Model (base + model)
Selected AbstractsBiomechanical aspects of marginal bone resorption around osseointegrated implants: considerations based on a three-dimensional finite element analysisCLINICAL ORAL IMPLANTS RESEARCH, Issue 4 2004Eriko Kitamura Abstract Objectives: Although bone loss around implants is reported as a complication when it progresses uncontrolled, resorption does not always lead to implant loss, but may be the result of biomechanical adaptation to stress. To verify this hypothesis, a three-dimensional finite element analysis was performed and the influence of marginal bone resorption amount and shape on stress in the bone and implant was investigated. Material and methods: A total of nine bone models with an implant were created: a non-resorption (Base) model and eight variations, in which three different resorption depths were combined with pure vertical or conical (vertical,horizontal) resorption. Axial and buccolingual forces were applied independently to the occlusal node at the center of the superstructure. Results: Regardless of load direction, bone stresses were higher in the pure vertical resorption (A) models than in the Base model, and increased with resorption depth. However, cortical bone stress was much lower in the conical resorption models than in both the Base and A models of the same resorption depth. An opposite tendency was observed in the cancellous bone under buccolingual load. Under buccolingual load, highest stress in the implant increased linearly with the resorption depth for all the models and its location approached the void existing below the abutment screw. Conclusions: The results of this analysis suggest that a certain amount of conical resorption may be the result of biomechanical adaptation of bone to stress. However, as bone resorption progresses, the increasing stresses in the cancellous bone and implant under lateral load may result in implant failure. Résumé Bien que la perte osseuse autour des implants soit considérée comme une complication quand elle progresse de manière incontrôlée, la résoption ne se termine pas toujours par la perte de l'implant, mais peut être le résultat de l'adaptation biomécanique au stress. Pour vérifier cette hypothèse, une analyse d'éléments finis en trois dimensions a été effectuée et l'influence de l'aspect et de la quantité de résorption osseuse marginale au stress dans l'os et l'implant a été analysée. Neuf modèles osseux avec un implant ont été créés : un modèle (Base) sans résorption et huit variations dans lesquelles trois profondeurs de résorption différentes ont été combinées avec des résorptions verticales ou coniques (verticale-horizontale). Des forces axiales et vestibulo-linguales ont été appliquées de manière indépendante en occlusal au centre de la superstructure. Quelle que soit la direction de la charge, les stress osseux étaient plus importants dans la résorption verticale pure (A) que dans le modèle de base et augmentaient avec la profondeur de résorption. Cependant, le stress osseux cortical était beaucoup plus faible dans les modèles à résorption conique que dans les modèles Base et A de même profondeur de résorption. Une tendance opposée était observée dans l'os spongieux sous charge vestibulo-linguale. Sous charge vestibulo-linguale, le stress le plus important dans l'implant augmentait linéairement avec la profondeur de résorption pour tous les modèles et sa localisation approchait l'espace existant en-dessous du pilier. Les résultats de cette analyse suggèrent qu'une certaine quantité de résorption conique pourrait être le résultat d'une adaptation biomécanique au stress osseux. Cependant, quand la résorption osseuse progresse les stress s'amplifiant dans l'os spongieux et au niveau de l'implant sous une force latérale peuvent résulter en un échec implantaire. Zusammenfassung Ziel: Auch wenn ein Knochenverlust um Implantate, der unkontrolliert fortschreitet, als Komplikation beschrieben wird, führen solche Resorptionen nicht gezwungenermassen zu einem Implantatverlust. Sie könnten aber Ausdruck einer biomechanischen Adaptation auf die Belastungen sein. Um diese Hypothese zu überprüfen, führte man eine dreidimensionale "Finite-Element"-Analyse durch. Man untersuchte die Zusammenhänge von Ausmass und Form der marginalen Knochenresorption und den entstehenden Kräften im Knochen und Implantat. Material und Methode: Die Arbeitsgrundlage waren 9 Modelle mit je einem Implantat: eines diente als Kontrolle (ohne Resorptionserscheinungen), die anderen acht zeigten drei verschiedene Resortionstiefen in Kombination mit rein vertikalen oder konischen (vertiko-horizontal) Defektformen. Dann liess man, unabhängig von der Okklusionsgestaltung, axiale und buccolinguale Kräfte auf die Mitte der Suprastruktur auftreffen. Resultate: Unabhängig von der Belastungsrichtung war die Knochenbelastung bei den rein vertikalen Resorptionsmodellen (A) grösser als beim Kontrollmodell und sie nahmen mit der Tiefe der Resorption zu. Die Belastung im kortikalen Knochen war aber in den Modellen mit konischen Resorptionen viel geringer als beim Kontrollmodell und den A-Modellen mit denselben Resorptionstiefen. Eine genau umgekehrte Tendenz konnte man im spongiösen Knochen unter buccolingualer Belastung feststellen.Bei einer buccolingualen Belastung nahm die Belastungsspitze beim Implantat bei allen Modellen linear mit der Resorptionstiefe zu und der Ort dieser Belastungsspitze lag im Bereich des Leerraumes genau unterhalb der Schraube des Sekundärteils. Zusammenfassung: Die Resultate dieser Analyse lassen vermuten, dass die konische Resorption bis zu einem gewissen Ausmass das Resultat einer biomechanischen Adaptation auf die Belastung des Knochens ist. Wenn aber die Knochenresorption fortschreitet, können die zunehmenden Belastungen im spongiösen Knochen und im Implantat bei einer lateralen Belastung zum Implantatmisserfolg führen. Resumen Objetivos: Aunque la pérdida de hueso alrededor de los implantes se informa como una complicación cuando progresa incontroladamente, la reabsorción no siempre lleva a la pérdida del implante, pero puede ser el resultado de la adaptación biomecánica al estrés. Para verificar esta hipótesis, se llevó a cabo un análisis tridimensional de elementos finitos y se investigó la influencia de la cantidad de reabsorción de hueso marginal y la forma en el estrés en el hueso y el implante. Material y métodos: Se crearon un total de 9 modelos de hueso con un implante: Un modelo sin reabsorción (Base) y 8 variaciones, el las que se combinaron tres diferentes profundidades de reabsorción con reabsorciones verticales o cónicas puras (vertical,horizontal). Se aplicaron fuerzas axiales y bucolinguales independientemente al nodo oclusal en el centro de la superestructura. Resultados: A pesar de la dirección de la carga, los estreses óseos fueron más altos en los modelos de reabsorción vertical pura (A) que en los modelos Base y se incrementaron con la profundidad de reabsorción. De todos modos, el estrés cortical fue mucho menor en los modelos de reabsorción cónica que en los modelos Base y A con la misma profundidad de reabsorción. Se observó una tendencia opuesta en el hueso esponjoso bajo carga bucolingual. Bajo carga bucolingual, el estrés mas alto en el implante se incrementó linealmente con la profundidad de reabsorción para todos los modelos y su localización se aproximó al espacio existente bajo el tornillo del pilar. Conclusión: Los resultados de este análisis sugieren que cierta cantidad de reabsorción cónica puede resultar de la adaptación biomecánica del hueso al estrés. De todos modos, al progresar la reabsorción ósea, los estrés crecientes en el hueso esponjoso y en el implante bajo carga lateral puede resultar en un fracaso del implante. [source] Modeling Goodwill for Banks: A Residual Income Approach with Empirical Tests,CONTEMPORARY ACCOUNTING RESEARCH, Issue 1 2006Joy Begley Abstract This paper uses the residual income valuation technique outlined in Feltham and Ohlson 1996 to examine the relation between stock valuations and accounting numbers for a prototypical banking firm. Prior work of this nature typically assumes a manufacturing setting. This paper contributes to the prior research by clarifying how the approach can be extended to settings where value is created from financial assets and liabilities. Key elements of our model include allowing banks to generate positive net present value from either lending or borrowing activities, and allowing for accounting policy to affect valuation through the loan loss allowance. We validate our model using archival data analysis, and interpret coefficients in light of our modeling assumptions. These results suggest that banks create value more from deposit-taking activities than from lending activities. Vuong tests confirm that our model outperforms adaptations of the unbiased accounting model of Ohlson 1995 and adaptations of the base model proposed by Beaver, Eger, Ryan, and Wolfson 1989. However, our model is outperformed by the popular net income-book value model used in many empirical studies, and we can formally reject one of our key modeling assumptions. These tests of our model suggest future avenues for improving upon the theoretical analysis. [source] Evaluation of molecular forms of prostate-specific antigen and human kallikrein 2 in predicting biochemical failure after radical prostatectomyINTERNATIONAL JOURNAL OF CANCER, Issue 3 2009Sven Wenske Abstract Most pretreatment risk-assessment models to predict biochemical recurrence (BCR) after radical prostatectomy (RP) for prostate cancer rely on total prostate-specific antigen (PSA), clinical stage, and biopsy Gleason grade. We investigated whether free PSA (fPSA) and human glandular kallikrein-2 (hK2) would enhance the predictive accuracy of this standard model. Preoperative serum samples and complete clinical data were available for 1,356 patients who underwent RP for localized prostate cancer from 1993 to 2005. A case-control design was used, and conditional logistic regression models were used to evaluate the association between preoperative predictors and BCR after RP. We constructed multivariable models with fPSA and hK2 as additional preoperative predictors to the base model. Predictive accuracy was assessed with the area under the ROC curve (AUC). There were 146 BCR cases; the median follow up for patients without BCR was 3.2 years. Overall, 436 controls were matched to 146 BCR cases. The AUC of the base model was 0.786 in the entire cohort; adding fPSA and hK2 to this model enhanced the AUC to 0.798 (p = 0.053), an effect largely driven by fPSA. In the subgroup of men with total PSA ,10 ng/ml (48% of cases), adding fPSA and hK2 enhanced the AUC of the base model to a similar degree (from 0.720 to 0.726, p = 0.2). fPSA is routinely measured during prostate cancer detection. We suggest that the role of fPSA in aiding preoperative prediction should be investigated in further cohorts. © 2008 Wiley-Liss, Inc. [source] Process similarity and developing new process models through migrationAICHE JOURNAL, Issue 9 2009Junde Lu Abstract An industrial process may operate over a range of conditions to produce different grades of product. With a data-based model, as conditions change, a different process model must be developed. Adapting existing process models can allow using fewer experiments for the development of a new process model, resulting in a saving of time, cost, and effort. Process similarity is defined and classified based on process representation. A model migration strategy is proposed for one type of process similarity, family similarity, which involves developing a new process model by taking advantage of an existing base model, and process attribute information. A model predicting melt-flow-length in injection molding is developed and tested as an example and shown to give satisfactory results. © 2009 American Institute of Chemical Engineers AIChE J, 2009 [source] Maximal small extensions of o-minimal structuresMLQ- MATHEMATICAL LOGIC QUARTERLY, Issue 5 2010Janak Ramakrishnan Abstract A proper elementary extension of a model is called small if it realizes no new types over any finite set in the base model. We answer a question of Marker, and show that it is possible to have an o-minimal structure with a maximal small extension. Our construction yields such a structure for any cardinality. We show that in some cases, notably when the base structure is countable, the maximal small extension has maximal possible cardinality (© 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] Population pharmacokinetic analysis of cilostazol in healthy subjects with genetic polymorphisms of CYP3A5, CYP2C19 and ABCB1BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 1 2010Hee-Doo Yoo WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT , The interindividual variability of the pharmacokinetic parameters of cilostazol is relatively large. , Cilostazol undergoes extensive hepatic metabolism via the P450 enzymes, primarily CYP3A and, to a lesser extent, CYP2C19. , Indeed, <1% of the administered dose of cilostazol is excreted unchanged in the urine. WHAT THIS STUDY ADDS , A population pharmacokinetic analysis of cilostazol was conducted to evaluate the impact of CYP3A, CYP2C19 and ABCB1 polymorphisms on cilostazol disposition in vivo. , Genetic polymorphisms of CYP3A5 and CYP2C19 explain the substantial interindividual variability in the pharmacokinetics of cilostazol. , ABCB1 genotypes do not to appear to be associated with the disposition of cilostazol. AIMS To investigate the influence of genetic polymorphisms in the CYP3A5, CYP2C19 and ABCB1 genes on the population pharmacokinetics of cilostazol in healthy subjects. METHODS Subjects who participated in four separate cilostazol bioequivalence studies with the same protocols were included in this retrospective analysis. One hundred and four healthy Korean volunteers were orally administered a single 50- or 100-mg dose of cilostazol. We estimated the population pharmacokinetics of cilostazol using a nonlinear mixed effects modelling (nonmem) method and explored the possible influence of genetic polymorphisms in CYP3A (CYP3A5*3), CYP2C19 (CYP2C19*2 and CYP2C19*3) and ABCB1 (C1236T, G2677T/A and C3435T) on the population pharmacokinetics of cilostazol. RESULTS A two-compartment model with a first-order absorption and lag time described the cilostazol serum concentrations well. The apparent oral clearance (CL/F) was estimated to be 12.8 l h,1. The volumes of the central and the peripheral compartment were characterized as 20.5 l and 73.1 l, respectively. Intercompartmental clearance was estimated at 5.6 l h,1. Absorption rate constant was estimated at 0.24 h,1 and lag time was predicted at 0.57 h. The genetic polymorphisms of CYP3A5 had a significant (P < 0.001) influence on the CL/F of cilostazol. When CYP2C19 was evaluated, a significant difference (P < 0.01) was observed among the three genotypes (extensive metabolizers, intermediate metabolizers and poor metabolizers) for the CL/F. In addition, a combination of CYP3A5 and CYP2C19 genotypes was found to be associated with a significant difference (P < 0.005) in the CL/F. When including these genotypes, the interindividual variability of the CL/F was reduced from 34.1% in the base model to 27.3% in the final model. However, no significant differences between the ABCB1 genotypes and cilostazol pharmacokinetic parameters were observed. CONCLUSIONS The results of the present study indicate that CYP3A5 and CYP2C19 polymorphisms explain the substantial interindividual variability that occurs in the metabolism of cilostazol. [source] Population pharmacokinetics of sirolimus in de novo Chinese adult renal transplant patientsBRITISH JOURNAL OF CLINICAL PHARMACOLOGY, Issue 1 2009Zheng Jiao WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT? , Sirolimus is an immunosuppressive agent used for the prophylaxis of renal allograft rejection. , Several conventional pharmacokinetic and population pharmacokinetic studies have been conducted to assess the pharmacokinetic characteristics of sirolimus in White or African-American recipients. WHAT THIS STUDY ADDS? , The population pharmacokinetics of sirolimus in Chinese adult renal transplant recipients was characterized for the first time. , New drug,drug interactions between herbal medicines and sirolimus were identified as the covariates on sirolimus clearance. AIMS This study was aimed at determining the population pharmacokinetics of sirolimus and identifying factors that explain pharmacokinetic variability in de novo Chinese adult renal transplant patients. METHODS Data were retrospectively extracted from a formal multicentre clinical trial, which was originally designed to evaluate the safety and efficacy of ciclosporin dose reduction and ciclosporin elimination in patients receiving sirolimus. All patients received 12-month treatment, i.e. induction therapy with ciclosporin, sirolimus and corticosteroids during the first 3 months followed by either ciclosporin dose reduction or ciclosporin discontinuation thereafter. Eight-hundred and four sirolimus trough blood concentrations (C0) from 112 patients were used to develop a population pharmacokinetic model using the nonmem program. A one-compartment model with first-order absorption and elimination was selected as the base model. The influence of demographic characteristics, biochemical and haematological indices, ciclosporin daily dose, ciclosporin C0 as well as other commonly used co-medications were explored. RESULTS The typical values with interindividual variability for apparent clearance (CL/F) and apparent volume of distribution (V/F) were 10.1 l h,1 (23.8%) and 3670 l (56.7%), respectively. The residual variability was 29.9%. CL/F decreased significantly with silymarin or glycyrrhizin co-therapy in hepatically impaired patients, and with increasing total cholesterol levels or ciclosporin C0. Moreover, CL/F increased nonlinearly with increasing sirolimus daily dose. The median parameter estimates from a nonparametric bootstrap procedure were comparable and within 5% of the estimates from nonmem. CONCLUSIONS These results provide important information for clinicians to optimize sirolimus regimens in Chinese renal transplant patients. [source] A comprehensive and novel predictive modeling technique using detailed pathology factors in men with localized prostate carcinomaCANCER, Issue 7 2002Louis Potters M.D. Abstract BACKGROUND The purpose of the current study was to evaluate modeling strategies using sextant core prostate biopsy specimen data that would best predict biochemical control in patients with localized prostate carcinoma treated with permanent prostate brachytherapy (PPB). METHODS One thousand four hundred seventy,seven patients underwent PPB between 1992 and 2000. The authors restricted analysis to those patients who had sextant biopsies (n = 1073). A central pathology review was undertaken on all specimens. Treatment consisted of PPB with either I-125 or Pd-103 prescribed to 144 Gy or 140 Gy, respectively. Two hundred twenty,eight patients (21%) received PPB in combination with external radiotherapy and 333 patients (31%) received neoadjuvant hormones. In addition to clinical stage, biopsy Gleason sum, and pretreatment prostate specific antigen (pretx-PSA), the following detailed biopsy variables were considered: mean percentage of cancer in an involved core; maximum percentage of cancer; mean primary and secondary Gleason grades; maximum Gleason grade (primary or secondary); percentage of cancer in the apex, mid, and base; percent of cores positive; maximum primary and secondary Gleason grades in apex, mid, and base; maximum percent cancer in apex, mid, and base; maximum Gleason grade in apex, mid, and base; maximum primary Gleason grade; and maximum secondary Gleason grade. In all, 23 biopsy variables were considered. Four modeling strategies were compared. As a base model, the authors considered the pretx-PSA, clinical stage, and biopsy Gleason sum as predictors. For the second model, the authors added percent of cores positive. The third modeling strategy was to use stepwise variable selection to select only those variables (from the total pool of 26) that were statistically significant. The fourth strategy was to apply principal components analysis, which has theoretical advantages over the other strategies. Principal components analysis creates component scores that account for maximum variance in the predictors. RESULTS The median followup of the study cohort was 36 months (range, 6,92), and the Kattan modification of the American Society for Therapeutic Radiology and Oncology (ASTRO) definition was used to define PSA freedom from recurrence (PSA-FFR). The four models were compared in their ability to predict PSA-FFR as measured by the Somers D rank correlation coefficient. The Somers D rank correlation coefficients were then corrected for optimism with use of bootstrapping. The results for the four models were 0.32, 0.34, 0.37, and 0.39, respectively. CONCLUSIONS The current study shows that the use of principal components analysis with additional pathology data is a more discriminating model in predicting outcome in prostate carcinoma than other conventional methods and can also be used to model outcome predictions for patients treated with radical prostatectomy and external beam. Cancer 2002;95:1451,6. © 2002 American Cancer Society. DOI 10.1002/cncr.10869 [source] | ||||||||||