scholarly journals Comparison of diagnostic methods for early interproximal caries detection with near-infrared light transillumination: an in vivo study

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Ismail Hakki Baltacioglu ◽  
Kaan Orhan
2020 ◽  
Vol 32 (4) ◽  
pp. 187-193
Author(s):  
Ayşe Dündar ◽  
Mehmet Ertuğrul Çiftçi ◽  
Özlem İşman ◽  
Ali Murat Aktan

2015 ◽  
Vol 20 (4) ◽  
pp. 821-829 ◽  
Author(s):  
Jan Kühnisch ◽  
Friederike Söchtig ◽  
Vinay Pitchika ◽  
Rüdiger Laubender ◽  
Klaus W. Neuhaus ◽  
...  

Small ◽  
2008 ◽  
Vol 4 (7) ◽  
pp. 1001-1007 ◽  
Author(s):  
Takuro Niidome ◽  
Yasuyuki Akiyama ◽  
Kohei Shimoda ◽  
Takahito Kawano ◽  
Takeshi Mori ◽  
...  

2020 ◽  
Vol 6 (44) ◽  
pp. eabb6165
Author(s):  
Lukas Pfeifer ◽  
Nong V. Hoang ◽  
Maximilian Scherübl ◽  
Maxim S. Pshenichnikov ◽  
Ben L. Feringa

Light-controlled artificial molecular machines hold tremendous potential to revolutionize molecular sciences as autonomous motion allows the design of smart materials and systems whose properties can respond, adapt, and be modified on command. One long-standing challenge toward future applicability has been the need to develop methods using low-energy, low-intensity, near-infrared light to power these nanomachines. Here, we describe a rotary molecular motor sensitized by a two-photon absorber, which efficiently operates under near-infrared light at intensities and wavelengths compatible with in vivo studies. Time-resolved spectroscopy was used to gain insight into the mechanism of energy transfer to the motor following initial two-photon excitation. Our results offer prospects toward in vitro and in vivo applications of artificial molecular motors.


2020 ◽  
Vol 4 ◽  
pp. 100025
Author(s):  
Eirini Stratigaki ◽  
Fabian N. Jost ◽  
Jan Kühnisch ◽  
Friederike Litzenburger ◽  
Adrian Lussi ◽  
...  

ACS Nano ◽  
2020 ◽  
Vol 14 (4) ◽  
pp. 4178-4187 ◽  
Author(s):  
Yawen You ◽  
Fangfang Cao ◽  
Yajie Zhao ◽  
Qingqing Deng ◽  
Yanjuan Sang ◽  
...  

Nanoscale ◽  
2020 ◽  
Vol 12 (18) ◽  
pp. 10361-10368
Author(s):  
Yunxia Wu ◽  
Judun Zheng ◽  
Da Xing ◽  
Tao Zhang

Spatiotemporally controllable platform enables in situ fluorogenic labeling of alkene sialic acids based upconverting photoclick nanoprobe.


2021 ◽  
Vol 16 (2) ◽  
pp. 113-126
Author(s):  
Ilham Wan Mokhtar ◽  
Annapurny Venkiteswaran ◽  
Mohd Yusmiaidil Putera Mohd Yusof

Dental caries is a commonly progressive disease that proceeds through various degrees of severity that a dentist can detect. The aims of the in vivo study were to assess the accuracy of the individual model (near-infrared light transillumination [NILT] device, visual and radiographic examinations) in detecting occlusal caries, and to evaluate the performance of visual and NILT device combination for occlusal caries detection in deciding the treatment options. Fifty-two non-cavitated occlusal surfaces from 16 patients were assessed with three different diagnostic devices in random order. Identified lesions were prepared and validated. Logistic regression analysis was performed for each method. The sensitivity and specificity values for each method and the combined models were statistically measured using RStudio version 0.97.551. At the enamel level, visual detection was the most sensitive method (0.88), while NILT was the most specific (0.93). NILT scored the highest for sensitivity (0.93) at the dentine level and visual detection scored the highest for specificity (0.88). Visual detection + NILT model was significantly better (p = 0.04) compared to visual detection or NILT alone (df = 1). The visual-NILT combination is a superior model in detecting occlusal caries on permanent teeth. The model provided surplus value in caries detection hence improving the treatment decision-making in occlusal surfaces.


Sign in / Sign up

Export Citation Format

Share Document