Labial Bone Thickness in Area of Anterior Maxillary Implants Associated with Crestal Labial Soft Tissue Thickness

2012 ◽  
Vol 21 (5) ◽  
pp. 406-410 ◽  
Author(s):  
Bach T. Le ◽  
Ali Borzabadi-Farahani
Keyword(s):  
Soft Tissue ◽  
Bone Thickness ◽  
Tissue Thickness ◽  
Soft Tissue Thickness

Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children

2019 ◽  
Vol 23 (3) ◽  
pp. 297-302 ◽  
Author(s):  
Julia D. Sharma ◽  
Kiran K. Seunarine ◽  
Muhammad Zubair Tahir ◽  
Martin M. Tisdall
Keyword(s):  
Soft Tissue ◽  
Entry Point ◽  
Electrode Placement ◽  
Target Point ◽  
Localization Error ◽  
Bone Thickness ◽  
Tissue Thickness ◽  
Robot Assisted ◽  
Soft Tissue Thickness ◽  
Safety Margins

OBJECTIVEThe aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of misplacement.METHODSThe authors undertook a retrospective review of all children who underwent SEEG at their institution. Twenty children were identified who underwent stereotactic placement of a total of 218 electrodes. Six procedures were performed using ON and 14 were placed using a robotic assistant. Placement error was calculated at cortical entry and at the target by calculating the Euclidean distance between the electrode and the planned cortical entry and target points. The Mann-Whitney U-test was used to compare the results for ON and RA placement accuracy. For each electrode placed using robotic assistance, extracranial soft-tissue thickness, bone thickness, and intracranial length were measured. Entry angle of electrode to bone was calculated using stereotactic coordinates. A stepwise linear regression model was used to test for variables that significantly influenced placement error.RESULTSBetween 8 and 17 electrodes (median 10 electrodes) were placed per patient. Median target point localization error was 4.5 mm (interquartile range [IQR] 2.8–6.1 mm) for ON and 1.07 mm (IQR 0.71–1.59) for RA placement. Median entry point localization error was 5.5 mm (IQR 4.0–6.4) for ON and 0.71 mm (IQR 0.47–1.03) for RA placement. The difference in accuracy between Stealth-guided (ON) and RA placement was highly significant for both cortical entry point and target (p < 0.0001 for both). Increased soft-tissue thickness and intracranial length reduced accuracy at the target. Increased soft-tissue thickness, bone thickness, and younger age reduced accuracy at entry. There were no complications.CONCLUSIONSRA stereotactic electrode placement is highly accurate and is significantly more accurate than ON. Larger safety margins away from vascular structures should be used when placing deep electrodes in young children and for trajectories that pass through thicker soft tissues such as the temporal region.

Abstract TP203: Factors Associated With Temporal Window Failure in Transcranial Doppler Sonography

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Chan-Hyuk Lee ◽  
Seung-Ho Jeon ◽  
Su-Jung Wang ◽  
Byoung-Soo Shin ◽  
Hyun Goo Kang
Keyword(s):  
Soft Tissue ◽  
Temporal Bone ◽  
Doppler Sonography ◽  
Transcranial Doppler Sonography ◽  
Bone Thickness ◽  
Tissue Thickness ◽  
Temporal Window ◽  
Temporal Area ◽  
Factors Affecting ◽  
Soft Tissue Thickness

Background and purpose: Temporal window failure (TWF) is found in 8-20% of subjects. Although it has been reported that, it is more common for the elderly and females, there are not enough studies on this topic. This study aimed to identify new factors affecting TWF. Methods: This study analyzed 376 patients who underwent both transcranial Doppler sonography (TCD) and cerebral angiographic imaging among patients visited the neurology department of Chonbuk National University Hospital from January to December 2018. They were divided into two groups depending on the presence of TWF. Afterward, demographics and cardiovascular factors, degree of stenosis from proximal intracranial artery (ICA) to the middle cerebral artery (MCA), and MCA diameter and skull features were examined. Results: The mean age of the patients was 68.4±12.1 years old and 241 of them (64.1%) were male. The study subjects were composed of 314 TWF negative patients (83.5%) and 62 TWF positive patients (16.5%). The stenosis from the proximal ICA to the 2/3 segment of the MCA proximal was not different between the two groups. Factors affecting TWF were analyzed using multivariate logistic regression analysis and the results showed that age (odds ratio [OR], 1.05; p =0.019), female (OR, 4.64; p =0.002), temporal bone thickness (OR, 6.03; p <0.001), temporal bone density (OR, 0.996; p =0.002), and soft tissue thickness (OR, 1.31; p =0.004) significantly affected TWF. Conclusions: We confirmed that the soft tissue thickness of the temporal area was a new associated factor of TWF in addition to the previously reported age, sex, temporal bone thickness, and temporal bone density. The results implied that measuring the soft tissue thickness of the temporal area for patients with suspected TWF would be useful to clinically identify the measurement error due to a technical problem.

A dense approach for computation of facial soft tissue thickness data

2021 ◽  
pp. 200460
Author(s):  
Diana Toneva ◽  
Silviya Nikolova ◽  
Stanislav Harizanov ◽  
Dora Zlatareva ◽  
Vassil Hadjidekov
Keyword(s):  
Soft Tissue ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Soft Tissue Thickness

scholarly journals Improvement of biohistological response of facial implant materials by tantalum surface treatment

2019 ◽  
Vol 41 (1) ◽  
Author(s):  
Mohammed Mousa Bakri ◽  
Sung Ho Lee ◽  
Jong Ho Lee
Keyword(s):  
Foreign Body ◽  
Soft Tissue ◽  
Surface Treatment ◽  
Clinical Applications ◽  
Tissue Response ◽  
Bone Surface ◽  
Tissue Thickness ◽  
Implant Materials ◽  
Soft Tissue Thickness

Abstract Background A compact passive oxide layer can grow on tantalum (Ta). It has been reported that this oxide layer can facilitate bone ingrowth in vivo though the development of bone-like apatite, which promotes hard and soft tissue adhesion. Thus, Ta surface treatment on facial implant materials may improve the tissue response, which could result in less fibrotic encapsulation and make the implant more stable on the bone surface. The purposes of this study were to verify whether surface treatment of facial implant materials using Ta can improve the biohistobiological response and to determine the possibility of potential clinical applications. Methods Two different and commonly used implant materials, silicone and expanded polytetrafluoroethylene (ePTFE), were treated via Ta ion implantation using a Ta sputtering gun. Ta-treated samples were compared with untreated samples using in vitro and in vivo evaluations. Osteoblast (MG-63) and fibroblast (NIH3T3) cell viability with the Ta-treated implant material was assessed, and the tissue response was observed by placing the implants over the rat calvarium (n = 48) for two different lengths of time. Foreign body and inflammatory reactions were observed, and soft tissue thickness between the calvarium and the implant as well as the bone response was measured. Results The treatment of facial implant materials using Ta showed a tendency toward increased fibroblast and osteoblast viability, although this result was not statistically significant. During the in vivo study, both Ta-treated and untreated implants showed similar foreign body reactions. However, the Ta-treated implant materials (silicone and ePTFE) showed a tendency toward better histological features: lower soft tissue thickness between the implant and the underlying calvarium as well as an increase in new bone activity. Conclusion Ta surface treatment using ion implantation on silicone and ePTFE facial implant materials showed the possibility of reducing soft tissue intervention between the calvarium and the implant to make the implant more stable on the bone surface. Although no statistically significant improvement was observed, Ta treatment revealed a tendency toward an improved biohistological response of silicone and ePTFE facial implants. Conclusively, tantalum treatment is beneficial and has the potential for clinical applications.

The Relationship of Undifferentiated Mesenchymal Cells to TMJ Articular Tissue Thickness

1992 ◽  
Vol 71 (11) ◽  
pp. 1816-1821 ◽  
Author(s):  
C.A. Bibb ◽  
A.G. Pullinger ◽  
F. Baldioceda
Keyword(s):  
Soft Tissue ◽  
Inverse Relationship ◽  
Biological Processes ◽  
Spearman Correlation ◽  
Articular Eminence ◽  
Tissue Thickness ◽  
Cartilage Layer ◽  
Soft Tissue Thickness ◽  
Relationship Of ◽  
The Relationship

Undifferentiated mesenchymal (UM) cells, the progenitor cells of the cartilage layer, have been assigned a significant role in TMJ articular tissue maintenance. This was based on reports of UM cell reduction with increased soft-tissue thickness for the condyle and temporal component. However, the strength of this inverse relationship was not presented and remained unclear. The purpose of the present study was to assess the strength of the correlation between UM cell presence and soft-tissue thickness in young adult TMJs at autopsy. Sagittal histological sections from the central thirds of 50 joints were evaluated with respect to articular soft-tissue thickness, histological character, and UM cell presence in the condyle and temporal component. The superior sector ofthe condyle and the articular eminence showed the greatest variability in soft-tissue thickness and were the only areas to show localized UM cell absence. The eminence was the only location to show an inverse relationship between soft-tissue thickness and UM cell presence, and this was consistent in both an ANOVA (p = 0.0016) and a Spearman correlation analysis. However, the strength of this correlation was only moderate (rho = -0.52), and no such relationship was observed in any other location. This study suggests that the relationship between UM cell presence and soft-tissue thickness is more complex than previously hypothesized and that the contribution of UM cells to articular tissue maintenance has been overstated, while other biological processes were overlooked.

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